Inside the most dangerous asteroid hunt ever

If you were told that the odds of something were 3.1%, it really wouldn’t seem like much. But for the people charged with protecting our planet, it was huge. 

On February 18, astronomers determined that a 130- to 300-foot-long asteroid had a 3.1% chance of crashing into Earth in 2032. Never had an asteroid of such dangerous dimensions stood such a high chance of striking the planet. For those following this developing story in the news, the revelation was unnerving. For many scientists and engineers, though, it turned out to be—despite its seriousness—a little bit exciting.

While possible impact locations included patches of empty ocean, the space rock, called 2024 YR4, also had several densely populated cities in its possible crosshairs, including Mumbai, Lagos, and Bogotá. If the asteroid did in fact hit such a metropolis, the best-case scenario was severe damage; the worst case was outright, total ruin. And for the first time, a group of United Nations–backed researchers began to have high-level discussions about the fate of the world: If this asteroid was going to hit the planet, what sort of spaceflight mission might be able to stop it? Would they ram a spacecraft into it to deflect it? Would they use nuclear weapons to try to swat it away or obliterate it completely

At the same time, planetary defenders all over the world crewed their battle stations to see if we could avoid that fate—and despite the sometimes taxing new demands on their psyches and schedules, they remained some of the coolest customers in the galaxy. “I’ve had to cancel an appointment saying, I cannot come—I have to save the planet,” says Olivier Hainaut, an astronomer at the European Southern Observatory and one of those who tracked down 2024 YR4. 

Then, just as quickly as history was made, experts declared that the danger had passed. On February 24, asteroid trackers issued the all-clear: Earth would be spared, just as many planetary defense researchers had felt assured it would. 

How did they do it? What was it like to track the rising (and rising and rising) danger of this asteroid, and to ultimately determine that it’d miss us?

This is the inside story of how, over a span of just two months, a sprawling network of global astronomers found, followed, mapped, planned for, and finally dismissed 2024 YR4, the most dangerous asteroid ever found—all under the tightest of timelines and, for just a moment, with the highest of stakes. 

“It was not an exercise,” says Hainaut. This was the real thing: “We really [had] to get it right.”


IN THE BEGINNING

December 27, 2024

THE ASTEROID TERRESTRIAL-IMPACT LAST ALERT SYSTEM, HAWAII

Long ago, an asteroid in the space-rock highway between Mars and Jupiter felt a disturbance in the force: the gravitational pull of Jupiter itself, king of the planets. After some wobbling back and forth, this asteroid was thrown out of the belt, skipped around the sun, and found itself on an orbit that overlapped with Earth’s own. 

“I was the first one to see the detections of it,” Larry Denneau, of the University of Hawai‘i, recalls. “A tiny white pixel on a black background.” 

Denneau is one of the principal investigators at the NASA-funded Asteroid Terrestrial-impact Last Alert System (ATLAS) telescopic network. It may have been just two days after Christmas, but he followed procedure as if it were any other day of the year and sent the observations of the tiny pixel onward to another NASA-funded facility, the Minor Planet Center (MPC) in Cambridge, Massachusetts. 

There’s an alternate reality in which none of this happened. Fortunately, in our timeline, various space agencies—chiefly NASA, but also the European Space Agency and the Japan Aerospace Exploration Agency—invest millions of dollars every year in asteroid-spotting efforts. 

And while multiple nations host observatories capable of performing this work, the US clearly leads the way: Its planetary defense program provides funding to a suite of telescopic facilities solely dedicated to identifying potentially hazardous space rocks. (At least, it leads the way for the moment. The White House’s proposal for draconian budget cuts to NASA and the National Science Foundation mean that several observatories and space missions linked to planetary defense are facing funding losses or outright terminations.) 

Astronomers working at these observatories are tasked with finding threatening asteroids before they find us—because you can’t fight what you can’t see. “They are the first line of planetary defense,” says Kelly Fast, the acting planetary defense officer at NASA’s Planetary Defense Coordination Office in Washington, DC.

ATLAS is one part of this skywatching project, and it consists of four telescopes: two in Hawaii, one in Chile, and another in South Africa. They don’t operate the way you’d think, with astronomers peering through them all night. Instead, they operate “completely robotically and automatically,” says Denneau. Driven by coding scripts that he and his colleagues have developed, these mechanical eyes work in harmony to watch out for any suspicious space rocks. Astronomers usually monitor their survey of the sky from a remote location.

ATLAS telescopes are small, so they can’t see particularly distant objects. But they have a wide field of view, allowing them to see large patches of space at any one moment. “As long as the weather is good, we’re constantly monitoring the night sky, from the North Pole to the South Pole,” says Denneau. 

Larry Denneau
Larry Denneau is a principal investigator at the Asteroid Terrestrial-impact Last Alert System telescopic network.
COURTESY PHOTO

If they detect the starlight reflecting off a moving object, an operator, such as Denneau, gets an alert and visually verifies that the object is real and not some sort of imaging artifact. When a suspected asteroid (or comet) is identified, the observations are sent to the MPC, which is home to a bulletin board featuring (among other things) orbital data on all known asteroids and comets. 

If the object isn’t already listed, a new discovery is announced, and other astronomers can perform follow-up observations. 

In just the past few years, ATLAS has detected more than 1,200 asteroids with near-Earth orbits. Finding ultimately harmless space rocks is routine work—so much so that when the new near-Earth asteroid was spotted by ATLAS’s Chilean telescope that December day, it didn’t even raise any eyebrows. 

Denneau had simply been sitting at home, doing some late-night work on his computer. At the time, of course, he didn’t know that his telescope had just spied what would soon become a history-making asteroid—one that could alter the future of the planet.

The MPC quickly confirmed the new space rock hadn’t already been “found,” and astronomers gave it a provisional designation: 2024 YR4

CATALINA SKY SURVEY, ARIZONA

Around the same time, the discovery was shared with another NASA-funded facility: the Catalina Sky Survey, a nest of three telescopes in the Santa Catalina Mountains north of Tucson that works out of the University of Arizona. “We run a very tight operation,” says Kacper Wierzchoś, one of its comet and asteroid spotters. Unlike ATLAS, these telescopes (although aided by automation) often have an in-person astronomer available to quickly alter the surveys in real time.

“We run a very tight operation,” says Kacper Wierzchoś, one of the comet and asteroid spotters at the Catalina Sky Survey north of Tucson, Arizona.
COURTESY PHOTO

So when Catalina was alerted about what its peers at ATLAS had spotted, staff deployed its Schmidt telescope—a smaller one that excels at seeing bright objects moving extremely quickly. As they fed their own observations of 2024 YR4 to the MPC, Catalina engineer David Rankin looked back over imagery from the previous days and found the new asteroid lurking in a night-sky image taken on December 26. Around then, ATLAS also realized that it had caught sight of 2024 YR4 in a photograph from December 25. 

The combined observations confirmed it: The asteroid had made its closest approach to Earth on Christmas Day, meaning it was already heading back out into space. But where, exactly, was this space rock going? Where would it end up after it swung around the sun? 

CENTER FOR NEAR-EARTH OBJECT STUDIES, CALIFORNIA 

If the answer to that question was Earth, Davide Farnocchia would be one of the first to know. You could say he’s one of NASA’s watchers on the wall. 

And he’s remarkably calm about his duties. When he first heard about 2024 YR4, he barely flinched. It was just another asteroid drifting through space not terribly far from Earth. It was another box to be ticked.

Once it was logged by the MPC, it was Farnocchia’s job to try to plot out 2024 YR4’s possible paths through space, checking to see if any of them overlapped with our planet’s. He works at NASA’s Center for Near-Earth Object Studies (CNEOS) in California, where he’s partly responsible for keeping track of all the known asteroids and comets in the solar system. “We have 1.4 million objects to deal with,” he says, matter-of-factly. 

In the past, astronomers would have had to stitch together multiple images of this asteroid and plot out its possible trajectories. Today, fortunately, Farnocchia has some help: He oversees the digital brain Sentry, an autonomous system he helped code. (Two other facilities in Italy perform similar work: the European Space Agency’s Near-Earth Object Coordination Centre, or NEOCC, and the privately owned Near-Earth Objects Dynamics Site, or NEODyS.)

To chart their courses, Sentry uses every new observation of every known asteroid or comet listed on the MPC to continuously refine the orbits of all those objects, using the immutable laws of gravity and the gravitational influences of any planets, moons, or other sizable asteroids they pass. A recent update to the software means that even the ever-so-gentle push afforded by sunlight is accounted for. That allows Sentry to confidently project the motions of all these objects at least a century into the future. 

Davide Farnocchia
Davide Farnocchia helps track all the known asteroids and comets in the solar system at NASA’s Center for Near-Earth Object Studies.
COURTESY PHOTO

Almost all newly discovered asteroids are quickly found to pose no impact risk. But those that stand even an infinitesimally small chance of smashing into our planet within the next 100 years are placed on the Sentry Risk List until additional observations can rule out those awful possibilities. Better safe than sorry. 

In late December, with just a limited set of data, Sentry concluded that there was a non-negligible chance 2024 YR4 would strike Earth in 2032. Aegis, the equivalent software at Europe’s NEOCC site, agreed. No bother. More observations would very likely remove 2024 YR4 from the Risk List. Just another day at the office for Farnocchia.

It’s worth noting that an asteroid heading toward Earth isn’t always a problem. Small rocks burn up in the planet’s atmosphere several times a day; you’ve probably seen one already this year, on a moonless night. But above a certain size, these rocks turn from innocuous shooting stars into nuclear-esque explosions. 

Reflected starlight is great for initially spotting asteroids, but it’s a terrible way to determine how big they are. A large, dull rock reflects as much light as a bright, tiny rock, making them appear the same to many telescopes. And that’s a problem, considering that a rock around 30 feet long will explode loudly but inconsequentially in Earth’s atmosphere, while a 3,000-foot-long asteroid would slam into the ground and cause devastation on a global scale, imperiling all of civilization. Roughly speaking, if you double the size of an asteroid, it becomes eight times more energetic upon impact—so finding out the size of an Earthbound asteroid is of paramount importance.

In those first few hours after it was discovered, and before anyone knew how shiny or dull its surface was, 2024 YR4 was estimated by astronomers to be as small as 65 feet across or as large as 500 feet. An object of the former size would blow up in mid-air, shattering windows over many miles and likely injuring thousands of people. At the latter size it would vaporize the heart of any city it struck, turning solid rock and metal into liquid and vapor, while its blast wave would devastate the rest of it, killing hundreds of thousands or even millions in the process. 

So now the question was: Just how big was 2024 YR4?


REFINING THE PICTURE

Mid-January 2025

VERY LARGE TELESCOPE, CHILE

Understandably dissatisfied with that level of imprecision, the European Southern Observatory’s Very Large Telescope (VLT), high up on the Cerro Paranal mountain in Chile’s Atacama Desert, entered the chat. As the name suggests, this flagship facility is vast, and it’s capable of really zooming in on distant objects. Or to put it another way: “The VLT is the largest, biggest, best telescope in the world,” says Hainaut, one of the facility’s operators, who usually commands it from half a world away in Germany.  

In reality, the VLT—which lends a hand to the European Space Agency in its asteroid-hunting duties—is actually made up of four massive telescopes, each fixed on four separate corners of the sky. They can be combined to act as a huge light bucket, allowing astronomers to see very faint asteroids. Four additional, smaller, movable telescopes can also team up with their bigger siblings to provide remarkably high-resolution images of even the stealthiest space rocks. 

In this sequence of infrared images taken by ESO’s VLT, the individual image frames have been aligned so that the asteroid remains in the center as other stars appear to move around it.
ESO/O. HAINAUT ET AL.

With so much tech to oversee, the control room of the VLT looks a bit like the inside of the Death Star. “You have eight consoles, each of them with a dozen screens. It’s big, it’s large, it’s spectacular,” says Hainaut. 

In mid-January, the European Space Agency asked the VLT to study several asteroids that had somewhat suspicious near-Earth orbits—including 2024 YR4. With just a few lines of code, the VLT could easily train its sharp eyes on an asteroid like 2024 YR4, allowing astronomers to narrow down its size range. It was found to be at least 130 feet long (big enough to cause major damage in a city) and as much as 300 feet (able to annihilate one).

January 29, 2025

INTERNATIONAL ASTEROID WARNING NETWORK
Marco Fenucci
Marco Fenucci is a near-Earth-object dynamicist at the European Space Agency’s Near-Earth Object Coordination Centre.
COURTESY PHOTO

By the end of the month, there was no mistaking it: 2024 YR4 stood a greater than 1% chance of impacting Earth on December 22, 2032. 

“It’s not something you see very often,” says Marco Fenucci, a near-Earth-object dynamicist at NEOCC. He admits that although it was “a serious thing,” this escalation was also “exciting to see”—something straight out of a sci-fi flick.

Sentry and Aegis, along with the systems at NEODyS, had been checking one another’s calculations. “There was a lot of care,” says Farnocchia, who explains that even though their programs worked wonders, their predictions were manually verified by multiple experts. When a rarity like 2024 YR4 comes along, he says, “you kind of switch gears, and you start being more cautious. You start screening everything that comes in.”

At this point, the klaxon emanating from these three data centers pushed the International Asteroid Warning Network (IAWN), a UN-backed planetary defense awareness group, to issue a public alert to the world’s governments: The planet may be in peril. For the most part, it was at this moment that the media—and the wider public—became aware of the threat. Earth, we may have a problem.

Denneau, along with plenty of other astronomers, received an urgent email from Fast at NASA’s Planetary Defense Coordination Office, requesting that all capable observatories track this hazardous asteroid. But there was one glaring problem. When 2024 YR4 was discovered on December 27, it was already two days after it had made its closest approach to Earth. And since it was heading back out into the shadows of space, it was quickly fading from sight.

Once it gets too faint, “there’s not much ATLAS can do,” Denneau says. By the time of IAWN’s warning, planetary defenders had just weeks to try to track 2024 YR4 and refine the odds of its hitting Earth before they’d lose it to the darkness. 

And if their scopes failed, the odds of an Earth impact would have stayed uncomfortably high until 2028, when the asteroid was due to make another flyby of the planet. That’d be just four short years before the space rock might actually hit.

“In that situation, we would have been … in trouble,” says NEOCC’s Fenucci.

The hunt was on.


PREPARING FOR THE WORST

February 5 and February 6, 2025

SPACE MISSION PLANNING ADVISORY GROUP, AUSTRIA

In early February, spaceflight mission specialists, including those at the UN-supported Space Mission Planning Advisory Group in Vienna, began high-level talks designed to sketch out ways in which 2024 YR4 could be either deflected away from Earth or obliterated—you know, just in case.

A range of options were available—including ramming it with several uncrewed spacecraft or assaulting it with nuclear weapons—but there was no silver bullet in this situation. Nobody had ever launched a nuclear explosive device into deep space before, and the geopolitical ramifications of any nuclear-armed nations doing so in the present day would prove deeply unwelcome. Asteroids are also extremely odd objects; some, perhaps including 2024 YR4, are less like single chunks of rock and more akin to multiple cliffs flying in formation. Hit an asteroid like that too hard and you could fail to deflect it—and instead turn an Earthbound cannonball into a spray of shotgun pellets. 

It’s safe to say that early on, experts were concerned about whether they could prevent a potential disaster. Crucially, eight years was not actually much time to plan something of this scale. So they were keen to better pinpoint how likely, or unlikely, it was that 2024 YR4 was going to collide with the planet before any complex space mission planning began in earnest. 

The people involved with these talks—from physicists at some of America’s most secretive nuclear weapons research laboratories to spaceflight researchers over in Europe—were not feeling close to anything resembling panic. But “the timeline was really short,” admits Hainaut. So there was an unprecedented tempo to their discussions. This wasn’t a drill. This was the real deal. What would they do to defend the planet if an asteroid impact couldn’t be ruled out?

Luckily, over the next few days, a handful of new observations came in. Each helped Sentry, Aegis, and the system at NEODyS rule out more of 2024 YR4’s possible future orbits. Unluckily, Earth remained a potential port of call for this pesky asteroid—and over time, our planet made up a higher proportion of those remaining possibilities. That meant that the odds of an Earth impact “started bubbling up,” says Denneau. 

a telescope in each of the four corners points to an asteroid

EVA REDAMONTI

By February 6, they jumped to 2.3%—a one-in-43 chance of an impact. 

“How much anxiety someone should feel over that—it’s hard to say,” Denneau says, with a slight shrug. 

In the past, several elephantine asteroids have been found to stand a small chance of careening unceremoniously into the planet. Such incidents tend to follow a pattern. As more observations come in and the asteroid’s orbit becomes better known, an Earth impact trajectory remains a possibility while other outlying orbits are removed from the calculations—so for a time, the odds of an impact rise. Finally, with enough observations in hand, it becomes clear that the space rock will miss our world entirely, and the impact odds plummet to zero.

Astronomers expected this to repeat itself with 2024 YR4. But there was no guarantee. There’s no escaping the fact that one day, sooner or later, scientists will discover a dangerous asteroid that will punch Earth in the face—and raze a city in the process. 

After all, asteroids capable of trashing a city have found their way to Earth plenty of times before, and not just in the very distant past. In 1908, an 800-square-mile patch of forest in Siberia—one that was, fortunately, very sparsely populated—was decimated by a space rock just 180 feet long. It didn’t even hit the ground; it exploded in midair with the force of a 15-megaton blast.

But only one other asteroid comparable in size to 2024 YR4 had its 2.3% figure beat: in 2004, Apophis—capable of causing continental-scale damage—had (briefly) stood a 2.7% chance of impacting Earth in 2029.

Rapidly approaching uncharted waters, the powers that be at NASA decided to play a space-based wild card: the James Webb Space Telescope, or JWST.

THE JAMES WEBB SPACE TELESCOPE, DEEP SPACE, ONE MILLION MILES FROM EARTH

A large dull asteroid reflects the same amount of light as a small shiny one, but that doesn’t mean astronomers sizing up an asteroid are helpless. If you view both asteroids in the infrared, the larger one glows brighter than the smaller one no matter the surface coating—making infrared, or the thermal part of the electromagnetic spectrum, a much better gauge of a space rock’s proportions. 

Observatories on Earth do have infrared capabilities, but our planet’s atmosphere gets in their way, making it hard for them to offer highly accurate readings of an asteroid’s size. 

But the James Webb Space Telescope (JWST), hanging out in space, doesn’t have that problem. 

A collage of three images showing the black expanse of space. Two-thirds of the collage is taken up by the black background sprinkled with small, blurry galaxies in orange, blue, and white. There are two images in a column at the right side of the collage. On the right side of the main image, not far from the top, a very faint dot is outlined with a white square. At the right, there are two zoomed in views of this area. The top box is labeled NIRCam and shows a fuzzy dot at the center of the inset. The bottom box is labeled MIRI and shows a fuzzy pinkish dot.
Asteroid 2024 YR4 is the smallest object targeted by JWST to date, and one of the smallest objects to have its size directly measured. Observations were taken using both its NIRCam (Near-Infrared Camera) and MIRI (Mid-Infrared Instrument) to study the thermal properties of the asteroid.
NASA, ESA, CSA, A. RIVKIN (APL), A. PAGAN (STSCI)

This observatory, which sits at a gravitationally stable point about a million miles from Earth, is polymathic. Its sniper-like scope can see in the infrared and allows it to peer at the edge of the observable universe, meaning it can study galaxies that formed not long after the Big Bang. It can even look at the light passing through the atmospheres of distant planets to ascertain their chemical makeups. And its remarkably sharp eye means it can also track the thermal glow of an asteroid long after all ground-based telescopes lose sight of it.

In a fortuitous bit of timing, by the moment 2024 YR4 came along, planetary defenders had recently reasoned that JWST could theoretically be used to track ominous asteroids using its own infrared scope, should the need arise. So after IAWN’s warning went out, operators of JWST ran an analysis: Though the asteroid would vanish from most scopes by late March, this one might be able to see the rock until sometime in May, which would allow researchers to greatly refine their assessment of the asteroid’s orbit and its odds of making Earth impact.

Understanding 2024 YR4’s trajectory was important, but “the size was the main motivator,” says Andy Rivkin, an astronomer at Johns Hopkins University’s Applied Physics Laboratory, who led the proposal to use JWST to observe the asteroid. The hope was that even if the impact odds remained high until 2028, JWST would find that 2024 YR4 was on the smaller side of the 130-to-300-feet size range—meaning it would still be a danger, but a far less catastrophic one. 

The JWST proposal was accepted by NASA on February 5. But the earliest it could conduct its observations was early March. And time really wasn’t on Earth’s side.

February 7, 2025

GEMINI SOUTH TELESCOPE, CHILE

“At this point, [2024 YR4] was too faint for the Catalina telescopes,” says Catalina’s Wierzchoś. “In our opinion, this was a big deal.” 

So Wierzchoś and his colleagues put in a rare emergency request to commandeer the Gemini Observatory, an internationally funded and run facility featuring two large, eagle-eyed telescopes—one in Chile and one atop Hawaii’s Mauna Kea volcano. Their request was granted, and on February 7, they trained the Chile-based Gemini South telescope onto 2024 YR4. 

This composite image was captured by a team of astronomers using the Gemini Multi-Object Spectrograph (GMOS). The hazy dot at the center is asteroid 2024 YR4.
INTERNATIONAL GEMINI OBSERVATORY/NOIRLAB/NSF/AURA/M. ZAMANI

The odds of Earth impact dropped ever so slightly, to 2.2%—a minor, but still welcome, development. 

Mid-February 2025

MAGDALENA RIDGE OBSERVATORY, NEW MEXICO

By this point, the roster of 2024 YR4 hunters also included the tiny team operating the Magdalena Ridge Observatory (MRO), which sits atop a tranquil mountain in New Mexico.

“It’s myself and my husband,” says Eileen Ryan, the MRO director. “We’re the only two astronomers running the telescope. We have a daytime technician. It’s kind of a mom-and-pop organization.” 

Still, the scope shouldn’t be underestimated. “We can see maybe a cell-phone-size object that’s illuminated at geosynchronous orbit,” Ryan says, referring to objects 22,000 miles away. But its most impressive feature is its mobility. While other observatories have slowly swiveling telescopes, MRO’s scope can move like the wind. “We can track the fastest objects,” she says, with a grin—noting that the telescope was built in part to watch missiles for the US Air Force. Its agility and long-distance vision explain why the Space Force is one of MRO’s major clients: It can be used to spy on satellites and spacecraft anywhere from low Earth orbit right out to the lunar regions. And that meant spying on the super-speedy, super-sneaky 2024 YR4 wasn’t a problem for MRO, whose own observations were vital in refining the asteroid’s impact odds.

Dr Eileen Ryan
Eileen Ryan is the director of the Magdalena Ridge Observatory in New Mexico.
COURTESY PHOTO

Then, in mid-February, MRO and all ground-based observatories came up against an unsolvable problem: The full moon was out, shining so brightly that it blinded any telescope that dared point at the night sky. “During the full moon, the observatories couldn’t observe for a week or so,” says NEOCC’s Fenucci. To most of us, the moon is a beautiful silvery orb. But to astronomers, it’s a hostile actor. “We abhor the moon,” says Denneau. 

All any of them could do was wait. Those tracking 2024 YR4 vacillated between being animated and slightly trepidatious. The thought that the asteroid could still stand a decent chance of impacting Earth after it faded from view did weigh a little on their minds. 

Nevertheless, Farnocchia maintained his characteristic sangfroid throughout. “I try to stress about the things I can control,” he says. “All we can do is to explain what the situation is, and that we need new data to say more.”

February 18, 2025

CENTER FOR NEAR-EARTH OBJECT STUDIES, CALIFORNIA 

As the full moon finally faded into a crescent of light, the world’s largest telescopes sprang back into action for one last shot at glory. “The dark time came again,” says Hainaut, with a smile.

New observations finally began to trickle in, and Sentry, Aegis, and NEODyS readjusted their forecasts. It wasn’t great news: The odds of an Earth impact in 2032 jumped up to 3.1%, officially making 2024 YR4 the most dangerous asteroid ever discovered.

This declaration made headlines across the world—and certainly made the curious public sit up and wonder if they had yet another apocalyptic concern to fret about. But, as ever, the asteroid hunters held fast in their prediction that sooner or later—ideally sooner—more observations would cause those impact odds to drop. 

“We kept at it,” says Ryan. But time was running short; they started to “search for out-of-the-box ways to image this asteroid,” says Fenucci. 

Planetary defense researchers soon realized that 2024 YR4 wasn’t too far away from NASA’s Lucy spacecraft, a planetary science mission making a series of flybys of various asteroids. If Lucy could be redirected to catch up to 2024 YR4 instead, it would give humanity its best look at the rock, allowing Sentry and company to confirm or dispel our worst fears. 

Sadly, NASA ran the numbers, and it proved to be a nonstarter: 2024 YR4 was too speedy and too far for Lucy to pursue. 

It was really starting to look as if JWST would be the last, best hope to track 2024 YR4. 


A CHANGE OF FATE

February 19, 2025

VERY LARGE TELESCOPE, CHILE and MAGDALENA RIDGE OBSERVATORY, NEW MEXICO

Just one day after 2024 YR made history, the VLT, MRO, and others caught sight of it again, and Sentry, Aegis, and NEODyS voraciously consumed their new data. 

The odds of an Earth impact suddenly dropped to 1.5%

Astronomers didn’t really have time to react to the possibility that this was a good sign—they just kept sending their observations onward.

February 20, 2025

SUBARU TELESCOPE, HAWAII

Yet another observatory had been itching to get into the game for weeks, but it wasn’t until February 20 that Tsuyoshi Terai, an astronomer at Japan’s Subaru Telescope, sitting atop Mauna Kea, finally caught 2024 YR4 shifting between the stars. He added his data to the stream.

And all of a sudden, the asteroid lost its lethal luster. The odds of its hitting Earth were now just 0.3%. 

At this point, you might expect that all those tracking it would be in a single control room somewhere, eyes glued to their screens, watching the odds drop before bursting into cheers and rapturous applause. But no—the astronomers who had spent so long observing this asteroid remained scattered across the globe. And instead of erupting into cheers, they exchanged modestly worded emails of congratulations—the digital equivalent of a nod or a handshake.

Dr. Tsuyoshi Tera at a workstation with many monitors
In late February, data from Tsuyoshi Terai, an astronomer at Japan’s Subaru Telescope, which sits atop Mauna Kea, confirmed that 2024 YR4 was not so lethal after all.
NAOJ

“It was a relief,” says Terai. “I was very pleased that our data contributed to put an end to the risk of 2024 YR4.” 

February 24, 2025

INTERNATIONAL ASTEROID WARNING NETWORK

Just a few days later, and thanks to a litany of observations continuing to flood in, IAWN issued the all-clear. This once-ominous asteroid’s odds of inconveniencing our planet were at 0.004%—one in 25,000. Today, the odds of an Earth impact in 2032 are exactly zero.

“It was kinda fun while it lasted,” says Denneau. 

Planetary defenders may have had a blast defending the world, but these astronomers still took the cosmic threat deeply seriously—and never once took their eyes off the prize. “In my mind, the observers and orbit teams were the stars of this story,” says Fast, NASA’s acting planetary defense officer.

Farnocchia shrugs off the entire thing. “It was the expected outcome,” he says. “We just didn’t know when that would happen.”

Looking back on it now, though, some 2024 YR4 trackers are allowing themselves to dwell on just how close this asteroid came to being a major danger. “It’s wild to watch it all play out,” says Denneau. “We were weeks away from having to spin up some serious mitigation planning.” But there was no need to work out how the save the world. It turned out that 2024 YR4 was never a threat to begin with—it just took a while to check. 

And these experiences in handling a dicey space rock will only serve to make the world a safer place to live. One day, an asteroid very much like 2024 YR4 will be seen heading straight for Earth. And those tasked with tracking it will be officially battle-tested, and better prepared than ever to do what needs to be done.


A POSTSCRIPT

March 27, 2025

JAMES WEBB SPACE TELESCOPE, DEEP SPACE, ONE MILLION MILES FROM EARTH

But the story of 2024 YR4 is not quite over—in fact, if this were a movie, it would have an after-credits scene.

After the Earth-impact odds fell off a cliff, JWST went ahead with its observations in March anyway. It found out that 2024 YR4 was 200 feet across—so large that a direct strike on a city would have proved horrifically lethal. Earth just didn’t have to worry about it anymore. 

But the moon might. Thanks in part to JWST, astronomers calculated a 3.8% chance that 2024 YR4 will impact the lunar surface in 2032. Additional JWST observations in May bumped those odds up slightly, to 4.3%, and the orbit can no longer be refined until the asteroid’s next Earth flyby in 2028. 

“It may hit the moon!” says Denneau. “Everybody’s still very excited about that.” 

A lunar collision would give astronomers a wonderful opportunity not only to study the physics of an asteroid impact, but also to demonstrate to the public just how good they are at precisely predicting the future motions of potentially lethal space rocks. “It’s a thing we can plan for without having to defend the Earth,” says Denneau.

If 2024 YR4 is truly going to smash into the moon, the impact—likely on the side facing Earth—would unleash an explosion equivalent to hundreds of nuclear bombs. An expansive crater would be carved out in the blink of an eye, and a shower of debris would erupt in all directions. 

None of this supersonic wreckage would pose any danger to Earth, but it would look spectacular: You’d be able to see the bright flash of the impact from terra firma with the naked eye.

“If that does happen, it’ll be amazing,” says Denneau. It will be a spectacular way to see the saga of 2024 YR4—once a mere speck on his computer screen—come to an explosive end, from a front-row seat.

Robin George Andrews is an award-winning science journalist and doctor of volcanoes based in London. He regularly writes about the Earth, space, and planetary sciences, and is the author of two critically acclaimed books: Super Volcanoes (2021) and How to Kill An Asteroid (2024).

Inside Amsterdam’s high-stakes experiment to create fair welfare AI

This story is a partnership between MIT Technology Review, Lighthouse Reports, and Trouw, and was supported by the Pulitzer Center. 

Two futures

Hans de Zwart, a gym teacher turned digital rights advocate, says that when he saw Amsterdam’s plan to have an algorithm evaluate every welfare applicant in the city for potential fraud, he nearly fell out of his chair. 

It was February 2023, and de Zwart, who had served as the executive director of Bits of Freedom, the Netherlands’ leading digital rights NGO, had been working as an informal advisor to Amsterdam’s city government for nearly two years, reviewing and providing feedback on the AI systems it was developing. 

According to the city’s documentation, this specific AI model—referred to as “Smart Check”—would consider submissions from potential welfare recipients and determine who might have submitted an incorrect application. More than any other project that had come across his desk, this one stood out immediately, he told us—and not in a good way. “There’s some very fundamental [and] unfixable problems,” he says, in using this algorithm “on real people.”

From his vantage point behind the sweeping arc of glass windows at Amsterdam’s city hall, Paul de Koning, a consultant to the city whose résumé includes stops at various agencies in the Dutch welfare state, had viewed the same system with pride. De Koning, who managed Smart Check’s pilot phase, was excited about what he saw as the project’s potential to improve efficiency and remove bias from Amsterdam’s social benefits system. 

A team of fraud investigators and data scientists had spent years working on Smart Check, and de Koning believed that promising early results had vindicated their approach. The city had consulted experts, run bias tests, implemented technical safeguards, and solicited feedback from the people who’d be affected by the program—more or less following every recommendation in the ethical-AI playbook. “I got a good feeling,” he told us. 

These opposing viewpoints epitomize a global debate about whether algorithms can ever be fair when tasked with making decisions that shape people’s lives. Over the past several years of efforts to use artificial intelligence in this way, examples of collateral damage have mounted: nonwhite job applicants weeded out of job application pools in the US, families being wrongly flagged for child abuse investigations in Japan, and low-income residents being denied food subsidies in India. 

Proponents of these assessment systems argue that they can create more efficient public services by doing more with less and, in the case of welfare systems specifically, reclaim money that is allegedly being lost from the public purse. In practice, many were poorly designed from the start. They sometimes factor in personal characteristics in a way that leads to discrimination, and sometimes they have been deployed without testing for bias or effectiveness. In general, they offer few options for people to challenge—or even understand—the automated actions directly affecting how they live. 

The result has been more than a decade of scandals. In response, lawmakers, bureaucrats, and the private sector, from Amsterdam to New York, Seoul to Mexico City, have been trying to atone by creating algorithmic systems that integrate the principles of “responsible AI”—an approach that aims to guide AI development to benefit society while minimizing negative consequences. 

CHANTAL JAHCHAN

Developing and deploying ethical AI is a top priority for the European Union, and the same was true for the US under former president Joe Biden, who released a blueprint for an AI Bill of Rights. That plan was rescinded by the Trump administration, which has removed considerations of equity and fairness, including in technology, at the national level. Nevertheless, systems influenced by these principles are still being tested by leaders in countries, states, provinces, and cities—in and out of the US—that have immense power to make decisions like whom to hire, when to investigate cases of potential child abuse, and which residents should receive services first. 

Amsterdam indeed thought it was on the right track. City officials in the welfare department believed they could build technology that would prevent fraud while protecting citizens’ rights. They followed these emerging best practices and invested a vast amount of time and money in a project that eventually processed live welfare applications. But in their pilot, they found that the system they’d developed was still not fair and effective. Why? 

Lighthouse Reports, MIT Technology Review, and the Dutch newspaper Trouw have gained unprecedented access to the system to try to find out. In response to a public records request, the city disclosed multiple versions of the Smart Check algorithm and data on how it evaluated real-world welfare applicants, offering us unique insight into whether, under the best possible conditions, algorithmic systems can deliver on their ambitious promises.  

The answer to that question is far from simple. For de Koning, Smart Check represented technological progress toward a fairer and more transparent welfare system. For de Zwart, it represented a substantial risk to welfare recipients’ rights that no amount of technical tweaking could fix. As this algorithmic experiment unfolded over several years, it called into question the project’s central premise: that responsible AI can be more than a thought experiment or corporate selling point—and actually make algorithmic systems fair in the real world.

A chance at redemption

Understanding how Amsterdam found itself conducting a high-stakes endeavor with AI-driven fraud prevention requires going back four decades, to a national scandal around welfare investigations gone too far. 

In 1984, Albine Grumböck, a divorced single mother of three, had been receiving welfare for several years when she learned that one of her neighbors, an employee at the social service’s local office, had been secretly surveilling her life. He documented visits from a male friend, who in theory could have been contributing unreported income to the family. On the basis of his observations, the welfare office cut Grumböck’s benefits. She fought the decision in court and won.

Albine Grumböck in the courtroom with her lawyer and assembled spectators
Albine Grumböck, whose benefits had been cut off, learns of the judgement for interim relief.
ROB BOGAERTS/ NATIONAAL ARCHIEF

Despite her personal vindication, Dutch welfare policy has continued to empower welfare fraud investigators, sometimes referred to as “toothbrush counters,” to turn over people’s lives. This has helped create an atmosphere of suspicion that leads to problems for both sides, says Marc van Hoof, a lawyer who has helped Dutch welfare recipients navigate the system for decades: “The government doesn’t trust its people, and the people don’t trust the government.”

Harry Bodaar, a career civil servant, has observed the Netherlands’ welfare policy up close throughout much of this time—first as a social worker, then as a fraud investigator, and now as a welfare policy advisor for the city. The past 30 years have shown him that “the system is held together by rubber bands and staples,” he says. “And if you’re at the bottom of that system, you’re the first to fall through the cracks.”

Making the system work better for beneficiaries, he adds, was a large motivating factor when the city began designing Smart Check in 2019. “We wanted to do a fair check only on the people we [really] thought needed to be checked,” Bodaar says—in contrast to previous department policy, which until 2007 was to conduct home visits for every applicant. 

But he also knew that the Netherlands had become something of a ground zero for problematic welfare AI deployments. The Dutch government’s attempts to modernize fraud detection through AI had backfired on a few notorious occasions.

In 2019, it was revealed that the national government had been using an algorithm to create risk profiles that it hoped would help spot fraud in the child care benefits system. The resulting scandal saw nearly 35,000 parents, most of whom were migrants or the children of migrants, wrongly accused of defrauding the assistance system over six years. It put families in debt, pushed some into poverty, and ultimately led the entire government to resign in 2021.  

front page of Trouw from January 16, 2021

COURTESY OF TROUW

In Rotterdam, a 2023 investigation by Lighthouse Reports into a system for detecting welfare fraud found it to be biased against women, parents, non-native Dutch speakers, and other vulnerable groups, eventually forcing the city to suspend use of the system. Other cities, like Amsterdam and Leiden, used a system called the Fraud Scorecard, which was first deployed more than 20 years ago and included education, neighborhood, parenthood, and gender as crude risk factors to assess welfare applicants; that program was also discontinued.

The Netherlands is not alone. In the United States, there have been at least 11 cases in which state governments used algorithms to help disperse public benefits, according to the nonprofit Benefits Tech Advocacy Hub, often with troubling results. Michigan, for instance, falsely accused 40,000 people of committing unemployment fraud. And in France, campaigners are taking the national welfare authority to court over an algorithm they claim discriminates against low-income applicants and people with disabilities. 

This string of scandals, as well as a growing awareness of how racial discrimination can be embedded in algorithmic systems, helped fuel the growing emphasis on responsible AI. It’s become “this umbrella term to say that we need to think about not just ethics, but also fairness,” says Jiahao Chen, an ethical-AI consultant who has provided auditing services to both private and local government entities. “I think we are seeing that realization that we need things like transparency and privacy, security and safety, and so on.” 

The approach, based on a set of tools intended to rein in the harms caused by the proliferating technology, has given rise to a rapidly growing field built upon a familiar formula: white papers and frameworks from think tanks and international bodies, and a lucrative consulting industry made up of traditional power players like the Big 5 consultancies, as well as a host of startups and nonprofits. In 2019, for instance, the Organisation for Economic Co-operation and Development, a global economic policy body, published its Principles on Artificial Intelligence as a guide for the development of “trustworthy AI.” Those principles include building explainable systems, consulting public stakeholders, and conducting audits. 

But the legacy left by decades of algorithmic misconduct has proved hard to shake off, and there is little agreement on where to draw the line between what is fair and what is not. While the Netherlands works to institute reforms shaped by responsible AI at the national level, Algorithm Audit, a Dutch NGO that has provided ethical-AI auditing services to government ministries, has concluded that the technology should be used to profile welfare recipients only under strictly defined conditions, and only if systems avoid taking into account protected characteristics like gender. Meanwhile, Amnesty International, digital rights advocates like de Zwart, and some welfare recipients themselves argue that when it comes to making decisions about people’s lives, as in the case of social services, the public sector should not be using AI at all.

Amsterdam hoped it had found the right balance. “We’ve learned from the things that happened before us,” says Bodaar, the policy advisor, of the past scandals. And this time around, the city wanted to build a system that would “show the people in Amsterdam we do good and we do fair.”

Finding a better way

Every time an Amsterdam resident applies for benefits, a caseworker reviews the application for irregularities. If an application looks suspicious, it can be sent to the city’s investigations department—which could lead to a rejection, a request to correct paperwork errors, or a recommendation that the candidate receive less money. Investigations can also happen later, once benefits have been dispersed; the outcome may force recipients to pay back funds, and even push some into debt.

Officials have broad authority over both applicants and existing welfare recipients. They can request bank records, summon beneficiaries to city hall, and in some cases make unannounced visits to a person’s home. As investigations are carried out—or paperwork errors fixed—much-needed payments may be delayed. And often—in more than half of the investigations of applications, according to figures provided by Bodaar—the city finds no evidence of wrongdoing. In those cases, this can mean that the city has “wrongly harassed people,” Bodaar says. 

The Smart Check system was designed to avoid these scenarios by eventually replacing the initial caseworker who flags which cases to send to the investigations department. The algorithm would screen the applications to identify those most likely to involve major errors, based on certain personal characteristics, and redirect those cases for further scrutiny by the enforcement team.

If all went well, the city wrote in its internal documentation, the system would improve on the performance of its human caseworkers, flagging fewer welfare applicants for investigation while identifying a greater proportion of cases with errors. In one document, the city projected that the model would prevent up to 125 individual Amsterdammers from facing debt collection and save €2.4 million annually. 

Smart Check was an exciting prospect for city officials like de Koning, who would manage the project when it was deployed. He was optimistic, since the city was taking a scientific approach, he says; it would “see if it was going to work” instead of taking the attitude that “this must work, and no matter what, we will continue this.”

It was the kind of bold idea that attracted optimistic techies like Loek Berkers, a data scientist who worked on Smart Check in only his second job out of college. Speaking in a cafe tucked behind Amsterdam’s city hall, Berkers remembers being impressed at his first contact with the system: “Especially for a project within the municipality,” he says, it “was very much a sort of innovative project that was trying something new.”

Smart Check made use of an algorithm called an “explainable boosting machine,” which allows people to more easily understand how AI models produce their predictions. Most other machine-learning models are often regarded as “black boxes” running abstract mathematical processes that are hard to understand for both the employees tasked with using them and the people affected by the results. 

The Smart Check model would consider 15 characteristics—including whether applicants had previously applied for or received benefits, the sum of their assets, and the number of addresses they had on file—to assign a risk score to each person. It purposefully avoided demographic factors, such as gender, nationality, or age, that were thought to lead to bias. It also tried to avoid “proxy” factors—like postal codes—that may not look sensitive on the surface but can become so if, for example, a postal code is statistically associated with a particular ethnic group.

In an unusual step, the city has disclosed this information and shared multiple versions of the Smart Check model with us, effectively inviting outside scrutiny into the system’s design and function. With this data, we were able to build a hypothetical welfare recipient to get insight into how an individual applicant would be evaluated by Smart Check.  

This model was trained on a data set encompassing 3,400 previous investigations of welfare recipients. The idea was that it would use the outcomes from these investigations, carried out by city employees, to figure out which factors in the initial applications were correlated with potential fraud. 

But using past investigations introduces potential problems from the start, says Sennay Ghebreab, scientific director of the Civic AI Lab (CAIL) at the University of Amsterdam, one of the external groups that the city says it consulted with. The problem of using historical data to build the models, he says, is that “we will end up [with] historic biases.” For example, if caseworkers historically made higher rates of mistakes with a specific ethnic group, the model could wrongly learn to predict that this ethnic group commits fraud at higher rates. 

The city decided it would rigorously audit its system to try to catch such biases against vulnerable groups. But how bias should be defined, and hence what it actually means for an algorithm to be fair, is a matter of fierce debate. Over the past decade, academics have proposed dozens of competing mathematical notions of fairness, some of which are incompatible. This means that a system designed to be “fair” according to one such standard will inevitably violate others.

Amsterdam officials adopted a definition of fairness that focused on equally distributing the burden of wrongful investigations across different demographic groups. 

In other words, they hoped this approach would ensure that welfare applicants of different backgrounds would carry the same burden of being incorrectly investigated at similar rates. 

Mixed feedback

As it built Smart Check, Amsterdam consulted various public bodies about the model, including the city’s internal data protection officer and the Amsterdam Personal Data Commission. It also consulted private organizations, including the consulting firm Deloitte. Each gave the project its approval. 

But one key group was not on board: the Participation Council, a 15-member advisory committee composed of benefits recipients, advocates, and other nongovernmental stakeholders who represent the interests of the people the system was designed to help—and to scrutinize. The committee, like de Zwart, the digital rights advocate, was deeply troubled by what the system could mean for individuals already in precarious positions. 

Anke van der Vliet, now in her 70s, is one longtime member of the council. After she sinks slowly from her walker into a seat at a restaurant in Amsterdam’s Zuid neighborhood, where she lives, she retrieves her reading glasses from their case. “We distrusted it from the start,” she says, pulling out a stack of papers she’s saved on Smart Check. “Everyone was against it.”

For decades, she has been a steadfast advocate for the city’s welfare recipients—a group that, by the end of 2024, numbered around 35,000. In the late 1970s, she helped found Women on Welfare, a group dedicated to exposing the unique challenges faced by women within the welfare system.

City employees first presented their plan to the Participation Council in the fall of 2021. Members like van der Vliet were deeply skeptical. “We wanted to know, is it to my advantage or disadvantage?” she says. 

Two more meetings could not convince them. Their feedback did lead to key changes—including reducing the number of variables the city had initially considered to calculate an applicant’s score and excluding variables that could introduce bias, such as age, from the system. But the Participation Council stopped engaging with the city’s development efforts altogether after six months. “The Council is of the opinion that such an experiment affects the fundamental rights of citizens and should be discontinued,” the group wrote in March 2022. Since only around 3% of welfare benefit applications are fraudulent, the letter continued, using the algorithm was “disproportionate.”

De Koning, the project manager, is skeptical that the system would ever have received the approval of van der Vliet and her colleagues. “I think it was never going to work that the whole Participation Council was going to stand behind the Smart Check idea,” he says. “There was too much emotion in that group about the whole process of the social benefit system.” He adds, “They were very scared there was going to be another scandal.” 

But for advocates working with welfare beneficiaries, and for some of the beneficiaries themselves, the worry wasn’t a scandal but the prospect of real harm. The technology could not only make damaging errors but leave them even more difficult to correct—allowing welfare officers to “hide themselves behind digital walls,” says Henk Kroon, an advocate who assists welfare beneficiaries at the Amsterdam Welfare Association, a union established in the 1970s. Such a system could make work “easy for [officials],” he says. “But for the common citizens, it’s very often the problem.” 

Time to test 

Despite the Participation Council’s ultimate objections, the city decided to push forward and put the working Smart Check model to the test. 

The first results were not what they’d hoped for. When the city’s advanced analytics team ran the initial model in May 2022, they found that the algorithm showed heavy bias against migrants and men, which we were able to independently verify. 

As the city told us and as our analysis confirmed, the initial model was more likely to wrongly flag non-Dutch applicants. And it was nearly twice as likely to wrongly flag an applicant with a non-Western nationality than one with a Western nationality. The model was also 14% more likely to wrongly flag men for investigation. 

In the process of training the model, the city also collected data on who its human case workers had flagged for investigation and which groups the wrongly flagged people were more likely to belong to. In essence, they ran a bias test on their own analog system—an important way to benchmark that is rarely done before deploying such systems. 

What they found in the process led by caseworkers was a strikingly different pattern. Whereas the Smart Check model was more likely to wrongly flag non-Dutch nationals and men, human caseworkers were more likely to wrongly flag Dutch nationals and women. 

The team behind Smart Check knew that if they couldn’t correct for bias, the project would be canceled. So they turned to a technique from academic research, known as training-data reweighting. In practice, that meant applicants with a non-Western nationality who were deemed to have made meaningful errors in their applications were given less weight in the data, while those with a Western nationality were given more.

Eventually, this appeared to solve their problem: As Lighthouse’s analysis confirms, once the model was reweighted, Dutch and non-Dutch nationals were equally likely to be wrongly flagged. 

De Koning, who joined the Smart Check team after the data was reweighted, said the results were a positive sign: “Because it was fair … we could continue the process.” 

The model also appeared to be better than caseworkers at identifying applications worthy of extra scrutiny, with internal testing showing a 20% improvement in accuracy.

Buoyed by these results, in the spring of 2023, the city was almost ready to go public. It submitted Smart Check to the Algorithm Register, a government-run transparency initiative meant to keep citizens informed about machine-learning algorithms either in development or already in use by the government.

For de Koning, the city’s extensive assessments and consultations were encouraging, particularly since they also revealed the biases in the analog system. But for de Zwart, those same processes represented a profound misunderstanding: that fairness could be engineered. 

In a letter to city officials, de Zwart criticized the premise of the project and, more specifically, outlined the unintended consequences that could result from reweighting the data. It might reduce bias against people with a migration background overall, but it wouldn’t guarantee fairness across intersecting identities; the model could still discriminate against women with a migration background, for instance. And even if that issue were addressed, he argued, the model might still treat migrant women in certain postal codes unfairly, and so on. And such biases would be hard to detect.

“The city has used all the tools in the responsible-AI tool kit,” de Zwart told us. “They have a bias test, a human rights assessment; [they have] taken into account automation bias—in short, everything that the responsible-AI world recommends. Nevertheless, the municipality has continued with something that is fundamentally a bad idea.”

Ultimately, he told us, it’s a question of whether it’s legitimate to use data on past behavior to judge “future behavior of your citizens that fundamentally you cannot predict.” 

Officials still pressed on—and set March 2023 as the date for the pilot to begin. Members of Amsterdam’s city council were given little warning. In fact, they were only informed the same month—to the disappointment of Elisabeth IJmker, a first-term council member from the Green Party, who balanced her role in municipal government with research on religion and values at Amsterdam’s Vrije University. 

“Reading the words ‘algorithm’ and ‘fraud prevention’ in one sentence, I think that’s worth a discussion,” she told us. But by the time that she learned about the project, the city had already been working on it for years. As far as she was concerned, it was clear that the city council was “being informed” rather than being asked to vote on the system. 

The city hoped the pilot could prove skeptics like her wrong.

Upping the stakes

The formal launch of Smart Check started with a limited set of actual welfare applicants, whose paperwork the city would run through the algorithm and assign a risk score to determine whether the application should be flagged for investigation. At the same time, a human would review the same application. 

Smart Check’s performance would be monitored on two key criteria. First, could it consider applicants without bias? And second, was Smart Check actually smart? In other words, could the complex math that made up the algorithm actually detect welfare fraud better and more fairly than human caseworkers? 

It didn’t take long to become clear that the model fell short on both fronts. 

While it had been designed to reduce the number of welfare applicants flagged for investigation, it was flagging more. And it proved no better than a human caseworker at identifying those that actually warranted extra scrutiny. 

What’s more, despite the lengths the city had gone to in order to recalibrate the system, bias reemerged in the live pilot. But this time, instead of wrongly flagging non-Dutch people and men as in the initial tests, the model was now more likely to wrongly flag applicants with Dutch nationality and women. 

Lighthouse’s own analysis also revealed other forms of bias unmentioned in the city’s documentation, including a greater likelihood that welfare applicants with children would be wrongly flagged for investigation. (Amsterdam officials did not respond to a request for comment about this finding, nor other follow up questions about general critiques of the city’s welfare system.)

The city was stuck. Nearly 1,600 welfare applications had been run through the model during the pilot period. But the results meant that members of the team were uncomfortable continuing to test—especially when there could be genuine consequences. In short, de Koning says, the city could not “definitely” say that “this is not discriminating.” 

He, and others working on the project, did not believe this was necessarily a reason to scrap Smart Check. They wanted more time—say, “a period of 12 months,” according to de Koning—to continue testing and refining the model. 

They knew, however, that would be a hard sell. 

In late November 2023, Rutger Groot Wassink—the city official in charge of social affairs—took his seat in the Amsterdam council chamber. He glanced at the tablet in front of him and then addressed the room: “I have decided to stop the pilot.”

The announcement brought an end to the sweeping multiyear experiment. In another council meeting a few months later, he explained why the project was terminated: “I would have found it very difficult to justify, if we were to come up with a pilot … that showed the algorithm contained enormous bias,” he said. “There would have been parties who would have rightly criticized me about that.” 

Viewed in a certain light, the city had tested out an innovative approach to identifying fraud in a way designed to minimize risks, found that it had not lived up to its promise, and scrapped it before the consequences for real people had a chance to multiply. 

But for IJmker and some of her city council colleagues focused on social welfare, there was also the question of opportunity cost. She recalls speaking with a colleague about how else the city could’ve spent that money—like to “hire some more people to do personal contact with the different people that we’re trying to reach.” 

City council members were never told exactly how much the effort cost, but in response to questions from MIT Technology Review, Lighthouse, and Trouw on this topic, the city estimated that it had spent some €500,000, plus €35,000 for the contract with Deloitte—but cautioned that the total amount put into the project was only an estimate, given that Smart Check was developed in house by various existing teams and staff members. 

For her part, van der Vliet, the Participation Council member, was not surprised by the poor result. The possibility of a discriminatory computer system was “precisely one of the reasons” her group hadn’t wanted the pilot, she says. And as for the discrimination in the existing system? “Yes,” she says, bluntly. “But we have always said that [it was discriminatory].” 

She and other advocates wished that the city had focused more on what they saw as the real problems facing welfare recipients: increases in the cost of living that have not, typically, been followed by increases in benefits; the need to document every change that could potentially affect their benefits eligibility; and the distrust with which they feel they are treated by the municipality. 

Can this kind of algorithm ever be done right?

When we spoke to Bodaar in March, a year and a half after the end of the pilot, he was candid in his reflections. “Perhaps it was unfortunate to immediately use one of the most complicated systems,” he said, “and perhaps it is also simply the case that it is not yet … the time to use artificial intelligence for this goal.”

“Niente, zero, nada. We’re not going to do that anymore,” he said about using AI to evaluate welfare applicants. “But we’re still thinking about this: What exactly have we learned?”

That is a question that IJmker thinks about too. In city council meetings she has brought up Smart Check as an example of what not to do. While she was glad that city employees had been thoughtful in their “many protocols,” she worried that the process obscured some of the larger questions of “philosophical” and “political values” that the city had yet to weigh in on as a matter of policy. 

Questions such as “How do we actually look at profiling?” or “What do we think is justified?”—or even “What is bias?” 

These questions are, “where politics comes in, or ethics,” she says, “and that’s something you cannot put into a checkbox.”

But now that the pilot has stopped, she worries that her fellow city officials might be too eager to move on. “I think a lot of people were just like, ‘Okay, well, we did this. We’re done, bye, end of story,’” she says. It feels like “a waste,” she adds, “because people worked on this for years.”

CHANTAL JAHCHAN

In abandoning the model, the city has returned to an analog process that its own analysis concluded was biased against women and Dutch nationals—a fact not lost on Berkers, the data scientist, who no longer works for the city. By shutting down the pilot, he says, the city sidestepped the uncomfortable truth—that many of the concerns de Zwart raised about the complex, layered biases within the Smart Check model also apply to the caseworker-led process.

“That’s the thing that I find a bit difficult about the decision,” Berkers says. “It’s a bit like no decision. It is a decision to go back to the analog process, which in itself has characteristics like bias.” 

Chen, the ethical-AI consultant, largely agrees. “Why do we hold AI systems to a higher standard than human agents?” he asks. When it comes to the caseworkers, he says, “there was no attempt to correct [the bias] systematically.” Amsterdam has promised to write a report on human biases in the welfare process, but the date has been pushed back several times.

“In reality, what ethics comes down to in practice is: nothing’s perfect,” he says. “There’s a high-level thing of Do not discriminate, which I think we can all agree on, but this example highlights some of the complexities of how you translate that [principle].” Ultimately, Chen believes that finding any solution will require trial and error, which by definition usually involves mistakes: “You have to pay that cost.”

But it may be time to more fundamentally reconsider how fairness should be defined—and by whom. Beyond the mathematical definitions, some researchers argue that the people most affected by the programs in question should have a greater say. “Such systems only work when people buy into them,” explains Elissa Redmiles, an assistant professor of computer science at Georgetown University who has studied algorithmic fairness. 

No matter what the process looks like, these are questions that every government will have to deal with—and urgently—in a future increasingly defined by AI. 

And, as de Zwart argues, if broader questions are not tackled, even well-intentioned officials deploying systems like Smart Check in cities like Amsterdam will be condemned to learn—or ignore—the same lessons over and over. 

“We are being seduced by technological solutions for the wrong problems,” he says. “Should we really want this? Why doesn’t the municipality build an algorithm that searches for people who do not apply for social assistance but are entitled to it?”


Eileen Guo is the senior reporter for features and investigations at MIT Technology Review. Gabriel Geiger is an investigative reporter at Lighthouse Reports. Justin-Casimir Braun is a data reporter at Lighthouse Reports.

Additional reporting by Jeroen van Raalte for Trouw, Melissa Heikkilä for MIT Technology Review, and Tahmeed Shafiq for Lighthouse Reports. Fact checked by Alice Milliken. 

You can read a detailed explanation of our technical methodology here. You can read Trouw‘s companion story, in Dutch, here.

This giant microwave may change the future of war

Imagine: China deploys hundreds of thousands of autonomous drones in the air, on the sea, and under the water—all armed with explosive warheads or small missiles. These machines descend in a swarm toward military installations on Taiwan and nearby US bases, and over the course of a few hours, a single robotic blitzkrieg overwhelms the US Pacific force before it can even begin to fight back. 

Maybe it sounds like a new Michael Bay movie, but it’s the scenario that keeps the chief technology officer of the US Army up at night.

“I’m hesitant to say it out loud so I don’t manifest it,” says Alex Miller, a longtime Army intelligence official who became the CTO to the Army’s chief of staff in 2023.

Even if World War III doesn’t break out in the South China Sea, every US military installation around the world is vulnerable to the same tactics—as are the militaries of every other country around the world. The proliferation of cheap drones means just about any group with the wherewithal to assemble and launch a swarm could wreak havoc, no expensive jets or massive missile installations required. 

While the US has precision missiles that can shoot these drones down, they don’t always succeed: A drone attack killed three US soldiers and injured dozens more at a base in the Jordanian desert last year. And each American missile costs orders of magnitude more than its targets, which limits their supply; countering thousand-dollar drones with missiles that cost hundreds of thousands, or even millions, of dollars per shot can only work for so long, even with a defense budget that could reach a trillion dollars next year.

The US armed forces are now hunting for a solution—and they want it fast. Every branch of the service and a host of defense tech startups are testing out new weapons that promise to disable drones en masse. There are drones that slam into other drones like battering rams; drones that shoot out nets to ensnare quadcopter propellers; precision-guided Gatling guns that simply shoot drones out of the sky; electronic approaches, like GPS jammers and direct hacking tools; and lasers that melt holes clear through a target’s side.

Then there are the microwaves: high-powered electronic devices that push out kilowatts of power to zap the circuits of a drone as if it were the tinfoil you forgot to take off your leftovers when you heated them up. 

That’s where Epirus comes in. 

When I went to visit the HQ of this 185-person startup in Torrance, California, earlier this year, I got a behind-the-scenes look at its massive microwave, called Leonidas, which the US Army is already betting on as a cutting-edge anti-drone weapon. The Army awarded Epirus a $66 million contract in early 2023, topped that up with another $17 million last fall, and is currently deploying a handful of the systems for testing with US troops in the Middle East and the Pacific. (The Army won’t get into specifics on the location of the weapons in the Middle East but published a report of a live-fire test in the Philippines in early May.) 

Up close, the Leonidas that Epirus built for the Army looks like a two-foot-thick slab of metal the size of a garage door stuck on a swivel mount. Pop the back cover, and you can see that the slab is filled with dozens of individual microwave amplifier units in a grid. Each is about the size of a safe-deposit box and built around a chip made of gallium nitride, a semiconductor that can survive much higher voltages and temperatures than the typical silicon. 

Leonidas sits on top of a trailer that a standard-issue Army truck can tow, and when it is powered on, the company’s software tells the grid of amps and antennas to shape the electromagnetic waves they’re blasting out with a phased array, precisely overlapping the microwave signals to mold the energy into a focused beam. Instead of needing to physically point a gun or parabolic dish at each of a thousand incoming drones, the Leonidas can flick between them at the speed of software.

Leonidas device in a warehouse with the United States flag
The Leonidas contains dozens of microwave amplifier units and can pivot to direct waves at incoming swarms of drones.
EPIRUS

Of course, this isn’t magic—there are practical limits on how much damage one array can do, and at what range—but the total effect could be described as an electromagnetic pulse emitter, a death ray for electronics, or a force field that could set up a protective barrier around military installations and drop drones the way a bug zapper fizzles a mob of mosquitoes.

I walked through the nonclassified sections of the Leonidas factory floor, where a cluster of engineers working on weaponeering—the military term for figuring out exactly how much of a weapon, be it high explosive or microwave beam, is necessary to achieve a desired effect—ran tests in a warren of smaller anechoic rooms. Inside, they shot individual microwave units at a broad range of commercial and military drones, cycling through waveforms and power levels to try to find the signal that could fry each one with maximum efficiency. 

On a live video feed from inside one of these foam-padded rooms, I watched a quadcopter drone spin its propellers and then, once the microwave emitter turned on, instantly stop short—first the propeller on the front left and then the rest. A drone hit with a Leonidas beam doesn’t explode—it just falls.

Compared with the blast of a missile or the sizzle of a laser, it doesn’t look like much. But it could force enemies to come up with costlier ways of attacking that reduce the advantage of the drone swarm, and it could get around the inherent limitations of purely electronic or strictly physical defense systems. It could save lives.

Epirus CEO Andy Lowery, a tall guy with sparkplug energy and a rapid-fire southern Illinois twang, doesn’t shy away from talking big about his product. As he told me during my visit, Leonidas is intended to lead a last stand, like the Spartan from whom the microwave takes its name—in this case, against hordes of unmanned aerial vehicles, or UAVs. While the actual range of the Leonidas system is kept secret, Lowery says the Army is looking for a solution that can reliably stop drones within a few kilometers. He told me, “They would like our system to be the owner of that final layer—to get any squeakers, any leakers, anything like that.”

Now that they’ve told the world they “invented a force field,” Lowery added, the focus is on manufacturing at scale—before the drone swarms really start to descend or a nation with a major military decides to launch a new war. Before, in other words, Miller’s nightmare scenario becomes reality. 

Why zap?

Miller remembers well when the danger of small weaponized drones first appeared on his radar. Reports of Islamic State fighters strapping grenades to the bottom of commercial DJI Phantom quadcopters first emerged in late 2016 during the Battle of Mosul. “I went, ‘Oh, this is going to be bad,’ because basically it’s an airborne IED at that point,” he says.

He’s tracked the danger as it’s built steadily since then, with advances in machine vision, AI coordination software, and suicide drone tactics only accelerating. 

Then the war in Ukraine showed the world that cheap technology has fundamentally changed how warfare happens. We have watched in high-definition video how a cheap, off-the-shelf drone modified to carry a small bomb can be piloted directly into a faraway truck, tank, or group of troops to devastating effect. And larger suicide drones, also known as “loitering munitions,” can be produced for just tens of thousands of dollars and launched in massive salvos to hit soft targets or overwhelm more advanced military defenses through sheer numbers. 

As a result, Miller, along with large swaths of the Pentagon and DC policy circles, believes that the current US arsenal for defending against these weapons is just too expensive and the tools in too short supply to truly match the threat.

Just look at Yemen, a poor country where the Houthi military group has been under constant attack for the past decade. Armed with this new low-tech arsenal, in the past 18 months the rebel group has been able to bomb cargo ships and effectively disrupt global shipping in the Red Sea—part of an effort to apply pressure on Israel to stop its war in Gaza. The Houthis have also used missiles, suicide drones, and even drone boats to launch powerful attacks on US Navy ships sent to stop them.

The most successful defense tech firm selling anti-drone weapons to the US military right now is Anduril, the company started by Palmer Luckey, the inventor of the Oculus VR headset, and a crew of cofounders from Oculus and defense data giant Palantir. In just the past few months, the Marines have chosen Anduril for counter-drone contracts that could be worth nearly $850 million over the next decade, and the company has been working with Special Operations Command since 2022 on a counter-drone contract that could be worth nearly a billion dollars over a similar time frame. It’s unclear from the contracts what, exactly, Anduril is selling to each organization, but its weapons include electronic warfare jammers, jet-powered drone bombs, and propeller-driven Anvil drones designed to simply smash into enemy drones.

In this arsenal, the cheapest way to stop a swarm of drones is electronic warfare: jamming the GPS or radio signals used to pilot the machines. But the intense drone battles in Ukraine have advanced the art of jamming and counter-jamming close to the point of stalemate. As a result, a new state of the art is emerging: unjammable drones that operate autonomously by using onboard processors to navigate via internal maps and computer vision, or even drones connected with 20-kilometer-long filaments of fiber-optic cable for tethered control.

But unjammable doesn’t mean unzappable. Instead of using the scrambling method of a jammer, which employs an antenna to block the drone’s connection to a pilot or remote guidance system, the Leonidas microwave beam hits a drone body broadside. The energy finds its way into something electrical, whether the central flight controller or a tiny wire controlling a flap on a wing, to short-circuit whatever’s available. (The company also says that this targeted hit of energy allows birds and other wildlife to continue to move safely.)

Tyler Miller, a senior systems engineer on Epirus’s weaponeering team, told me that they never know exactly which part of the target drone is going to go down first, but they’ve reliably seen the microwave signal get in somewhere to overload a circuit. “Based on the geometry and the way the wires are laid out,” he said, one of those wires is going to be the best path in. “Sometimes if we rotate the drone 90 degrees, you have a different motor go down first,” he added.

The team has even tried wrapping target drones in copper tape, which would theoretically provide shielding, only to find that the microwave still finds a way in through moving propeller shafts or antennas that need to remain exposed for the drone to fly. 

EPIRUS

Leonidas also has an edge when it comes to downing a mass of drones at once. Physically hitting a drone out of the sky or lighting it up with a laser can be effective in situations where electronic warfare fails, but anti-drone drones can only take out one at a time, and lasers need to precisely aim and shoot. Epirus’s microwaves can damage everything in a roughly 60-degree arc from the Leonidas emitter simultaneously and keep on zapping and zapping; directed energy systems like this one never run out of ammo.

As for cost, each Army Leonidas unit currently runs in the “low eight figures,” Lowery told me. Defense contract pricing can be opaque, but Epirus delivered four units for its $66 million initial contract, giving a back-of-napkin price around $16.5 million each. For comparison, Stinger missiles from Raytheon, which soldiers shoot at enemy aircraft or drones from a shoulder-mounted launcher, cost hundreds of thousands of dollars a pop, meaning the Leonidas could start costing less (and keep shooting) after it downs the first wave of a swarm.

Raytheon’s radar, reversed

Epirus is part of a new wave of venture-capital-backed defense companies trying to change the way weapons are created—and the way the Pentagon buys them. The largest defense companies, firms like Raytheon, Boeing, Northrop Grumman, and Lockheed Martin, typically develop new weapons in response to research grants and cost-plus contracts, in which the US Department of Defense guarantees a certain profit margin to firms building products that match their laundry list of technical specifications. These programs have kept the military supplied with cutting-edge weapons for decades, but the results may be exquisite pieces of military machinery delivered years late and billions of dollars over budget.

Rather than building to minutely detailed specs, the new crop of military contractors aim to produce products on a quick time frame to solve a problem and then fine-tune them as they pitch to the military. The model, pioneered by Palantir and SpaceX, has since propelled companies like Anduril, Shield AI, and dozens of other smaller startups into the business of war as venture capital piles tens of billions of dollars into defense.

Like Anduril, Epirus has direct Palantir roots; it was cofounded by Joe Lonsdale, who also cofounded Palantir, and John Tenet, Lonsdale’s colleague at the time at his venture fund, 8VC. (Tenet, the son of former CIA director George Tenet, may have inspired the company’s name—the elder Tenet’s parents were born in the Epirus region in the northwest of Greece. But the company more often says it’s a reference to the pseudo-mythological Epirus Bow from the 2011 fantasy action movie Immortals, which never runs out of arrows.) 

While Epirus is doing business in the new mode, its roots are in the old—specifically in Raytheon, a pioneer in the field of microwave technology. Cofounded by MIT professor Vannevar Bush in 1922, it manufactured vacuum tubes, like those found in old radios. But the company became synonymous with electronic defense during World War II, when Bush spun up a lab to develop early microwave radar technology invented by the British into a workable product, and Raytheon then began mass-producing microwave tubes—known as magnetrons—for the US war effort. By the end of the war in 1945, Raytheon was making 80% of the magnetrons powering Allied radar across the world.

From padded foam chambers at the Epirus HQ, Leonidas devices can be safely tested on drones.
EPIRUS

Large tubes remained the best way to emit high-power microwaves for more than half a century, handily outperforming silicon-based solid-state amplifiers. They’re still around—the microwave on your kitchen counter runs on a vacuum tube magnetron. But tubes have downsides: They’re hot, they’re big, and they require upkeep. (In fact, the other microwave drone zapper currently in the Pentagon pipeline, the Tactical High-power Operational Responder, or THOR, still relies on a physical vacuum tube. It’s reported to be effective at downing drones in tests but takes up a whole shipping container and needs a dish antenna to zap its targets.)

By the 2000s, new methods of building solid-state amplifiers out of materials like gallium nitride started to mature and were able to handle more power than silicon without melting or shorting out. The US Navy spent hundreds of millions of dollars on cutting-edge microwave contracts, one for a project at Raytheon called Next Generation Jammer—geared specifically toward designing a new way to make high-powered microwaves that work at extremely long distances.

Lowery, the Epirus CEO, began his career working on nuclear reactors on Navy aircraft carriers before he became the chief engineer for Next Generation Jammer at Raytheon in 2010. There, he and his team worked on a system that relied on many of the same fundamentals that now power the Leonidas—using the same type of amplifier material and antenna setup to fry the electronics of a small target at much closer range rather than disrupting the radar of a target hundreds of miles away. 

The similarity is not a coincidence: Two engineers from Next Generation Jammer helped launch Epirus in 2018. Lowery—who by then was working at the augmented-reality startup RealWear, which makes industrial smart glasses—joined Epirus in 2021 to run product development and was asked to take the top spot as CEO in 2023, as Leonidas became a fully formed machine. Much of the founding team has since departed for other projects, but Raytheon still runs through the company’s collective CV: ex-Raytheon radar engineer Matt Markel started in January as the new CTO, and Epirus’s chief engineer for defense, its VP of engineering, its VP of operations, and a number of employees all have Raytheon roots as well.

Markel tells me that the Epirus way of working wouldn’t have flown at one of the big defense contractors: “They never would have tried spinning off the technology into a new application without a contract lined up.” The Epirus engineers saw the use case, raised money to start building Leonidas, and already had prototypes in the works before any military branch started awarding money to work on the project.

Waiting for the starting gun

On the wall of Lowery’s office are two mementos from testing days at an Army proving ground: a trophy wing from a larger drone, signed by the whole testing team, and a framed photo documenting the Leonidas’s carnage—a stack of dozens of inoperative drones piled up in a heap. 

Despite what seems to have been an impressive test show, it’s still impossible from the outside to determine whether Epirus’s tech is ready to fully deliver if the swarms descend. 

The Army would not comment specifically on the efficacy of any new weapons in testing or early deployment, including the Leonidas system. A spokesperson for the Army’s Rapid Capabilities and Critical Technologies Office, or RCCTO, which is the subsection responsible for contracting with Epirus to date, would only say in a statement that it is “committed to developing and fielding innovative Directed Energy solutions to address evolving threats.” 

But various high-ranking officers appear to be giving Epirus a public vote of confidence. The three-star general who runs RCCTO and oversaw the Leonidas testing last summer told Breaking Defense that “the system actually worked very well,” even if there was work to be done on “how the weapon system fits into the larger kill chain.”

And when former secretary of the Army Christine Wormuth, then the service’s highest-ranking civilian, gave a parting interview this past January, she mentioned Epirus in all but name, citing “one company” that is “using high-powered microwaves to basically be able to kill swarms of drones.” She called that kind of capability “critical for the Army.” 

The Army isn’t the only branch interested in the microwave weapon. On Epirus’s factory floor when I visited, alongside the big beige Leonidases commissioned by the Army, engineers were building a smaller expeditionary version for the Marines, painted green, which it delivered in late April. Videos show that when it put some of its microwave emitters on a dock and tested them out for the Navy last summer, the microwaves left their targets dead in the water—successfully frying the circuits of outboard motors like the ones propelling Houthi drone boats. 

Epirus is also currently working on an even smaller version of the Leonidas that can mount on top of the Army’s Stryker combat vehicles, and it’s testing out attaching a single microwave unit to a small airborne drone, which could work as a highly focused zapper to disable cars, data centers, or single enemy drones. 

Epirus' drone defense unit
Epirus’s microwave technology is also being tested in devices smaller than the traditional Leonidas.
EPIRUS

While neither the Army nor the Navy has yet to announce a contract to start buying Epirus’s systems at scale, the company and its investors are actively preparing for the big orders to start rolling in. It raised $250 million in a funding round in early March to get ready to make as many Leonidases as possible in the coming years, adding to the more than $300 million it’s raised since opening its doors in 2018.

“If you invent a force field that works,” Lowery boasts, “you really get a lot of attention.”

The task for Epirus now, assuming that its main customers pull the trigger and start buying more Leonidases, is ramping up production while advancing the tech in its systems. Then there are the more prosaic problems of staffing, assembly, and testing at scale. For future generations, Lowery told me, the goal is refining the antenna design and integrating higher-powered microwave amplifiers to push the output into the tens of kilowatts, allowing for increased range and efficacy. 

While this could be made harder by Trump’s global trade war, Lowery says he’s not worried about their supply chain; while China produces 98% of the world’s gallium, according to the US Geological Survey, and has choked off exports to the US, Epirus’s chip supplier uses recycled gallium from Japan. 

The other outside challenge may be that Epirus isn’t the only company building a drone zapper. One of China’s state-owned defense companies has been working on its own anti-drone high-powered microwave weapon called the Hurricane, which it displayed at a major military show in late 2024. 

It may be a sign that anti-electronics force fields will become common among the world’s militaries—and if so, the future of war is unlikely to go back to the status quo ante, and it might zag in a different direction yet again. But military planners believe it’s crucial for the US not to be left behind. So if it works as promised, Epirus could very well change the way that war will play out in the coming decade. 

While Miller, the Army CTO, can’t speak directly to Epirus or any specific system, he will say that he believes anti-drone measures are going to have to become ubiquitous for US soldiers. “Counter-UAS [Unmanned Aircraft System] unfortunately is going to be like counter-IED,” he says. “It’s going to be every soldier’s job to think about UAS threats the same way it was to think about IEDs.” 

And, he adds, it’s his job and his colleagues’ to make sure that tech so effective it works like “almost magic” is in the hands of the average rifleman. To that end, Lowery told me, Epirus is designing the Leonidas control system to work simply for troops, allowing them to identify a cluster of targets and start zapping with just a click of a button—but only extensive use in the field can prove that out.

Epirus CEO Andy Lowery sees the Leonidas as providing a last line of defense against UAVs.
EPIRUS

In the not-too-distant future, Lowery says, this could mean setting up along the US-Mexico border. But the grandest vision for Epirus’s tech that he says he’s heard is for a city-scale Leonidas along the lines of a ballistic missile defense radar system called PAVE PAWS, which takes up an entire 105-foot-tall building and can detect distant nuclear missile launches. The US set up four in the 1980s, and Taiwan currently has one up on a mountain south of Taipei. Fill a similar-size building full of microwave emitters, and the beam could reach out “10 or 15 miles,” Lowery told me, with one sitting sentinel over Taipei in the north and another over Kaohsiung in the south of Taiwan.

Riffing in Greek mythological mode, Lowery said of drones, “I call all these mischief makers. Whether they’re doing drugs or guns across the border or they’re flying over Langley [or] they’re spying on F-35s, they’re all like Icarus. You remember Icarus, with his wax wings? Flying all around—‘Nobody’s going to touch me, nobody’s going to ever hurt me.’”

“We built one hell of a wax-wing melter.” 

Sam Dean is a reporter focusing on business, tech, and defense. He is writing a book about the recent history of Silicon Valley returning to work with the Pentagon for Viking Press and covering the defense tech industry for a number of publications. Previously, he was a business reporter at the Los Angeles Times.

This piece has been updated to clarify that Alex Miller is a civilian intelligence official. 

Inside the controversial tree farms powering Apple’s carbon neutral goal

We were losing the light, and still about 20 kilometers from the main road, when the car shuddered and died at the edge of a strange forest. 

The grove grew as if indifferent to certain unspoken rules of botany. There was no understory, no foreground or background, only the trees themselves, which grew as a wall of bare trunks that rose 100 feet or so before concluding with a burst of thick foliage near the top. The rows of trees ran perhaps the length of a New York City block and fell away abruptly on either side into untidy fields of dirt and grass. The vista recalled the husk of a failed condo development, its first apartments marooned when the builders ran out of cash.

Standing there against the setting sun, the trees were, in their odd way, also rather stunning. I had no service out here—we had just left a remote nature preserve in southwestern Brazil—but I reached for my phone anyway, for a picture. The concern on the face of my travel partner, Clariana Vilela Borzone, a geographer and translator who grew up nearby, flicked to amusement. My camera roll was already full of eucalyptus.

The trees sprouted from every hillside, along every road, and more always seemed to be coming. Across the dirt path where we were stopped, another pasture had been cleared for planting. The sparse bushes and trees that had once shaded cattle in the fields had been toppled and piled up, as if in a Pleistocene gravesite. 

Borzone’s friends and neighbors were divided on the aesthetics of these groves. Some liked the order and eternal verdancy they brought to their slice of the Cerrado, a large botanical region that arcs diagonally across Brazil’s midsection. Its native savanna landscape was largely gnarled, low-slung, and, for much of the year, rather brown. And since most of that flora had been cleared decades ago for cattle pasture, it was browner and flatter still. Now that land was becoming trees. It was becoming beautiful. 

sun setting over the Cerrado with a flock of animals grazing in the foreground
Some locals say they like the order and eternal verdancy of the eucalyptus, which often stand in stark contrast to the Cerrado’s native savanna landscape.
PABLO ALBARENGA

Others considered this beauty a mirage. “Green deserts,” they called the groves, suggesting bounty from afar but holding only dirt and silence within. These were not actually forests teeming with animals and undergrowth, they charged, but at best tinder for a future megafire in a land parched, in part, by their vigorous growth. This was in fact a common complaint across Latin America: in Chile, the planted rows of eucalyptus were called the “green soldiers.” It was easy to imagine getting lost in the timber, a funhouse mirror of trunks as far as the eye could see.

The timber companies that planted these trees push back on these criticisms as caricatures of a genus that’s demonized all over the world. They point to their sustainable forestry certifications and their handsome spending on fire suppression, and to the microphones they’ve placed that record cacophonies of birds and prove the groves are anything but barren. Whether people like the look of these trees or not, they are meeting a human need, filling an insatiable demand for paper and pulp products all over the world. Much of the material for the world’s toilet and tissue paper is grown in Brazil, and that, they argue, is a good thing: Grow fast and furious here, as responsibly as possible, to save many more trees elsewhere. 

But I was in this region for a different reason: Apple. And also Microsoft and Meta and TSMC, and many smaller technology firms too. I was here because tech executives many thousands of miles away were racing toward, and in some cases stumbling, on their way to meet their climate promises—too little time, and too much demand for new devices and AI data centers. Not far from here, they had struck some of the largest-ever deals for carbon credits. They were asking something new of this tree: Could Latin America’s eucalyptus be a scalable climate solution? 

On a practical level, the answer seemed straightforward. Nobody disputed how swiftly or reliably eucalyptus could grow in the tropics. This knowledge was the product of decades of scientific study and tabulations of biomass for wood or paper. Each tree was roughly 47% carbon, which meant that many tons of it could be stored within every planted hectare. This could be observed taking place in real time, in the trees by the road. Come back and look at these young trees tomorrow, and you’d see it: fresh millimeters of carbon, chains of cellulose set into lignin. 

At the same time, Apple and the others were also investing in an industry, and a tree, with a long and controversial history in this part of Brazil and elsewhere. They were exerting their wealth and technological oversight to try to make timber operations more sustainable, more supportive of native flora, and less water intensive. Still, that was a hard sell to some here, where hundreds of thousands of hectares of pasture are already in line for planting; more trees were a bleak prospect in a land increasingly racked by drought and fire. Critics called the entire exercise an excuse to plant even more trees for profit. 

Borzone and I did not plan to stay and watch the eucalyptus grow. Garden or forest or desert, ally or antagonist—it did not matter much with the stars of the Southern Cross emerging and our gas tank empty. We gathered our things from our car and set off down the dirt road through the trees.

A big promise

My journey into the Cerrado had begun months earlier, in the fall of 2023, when the actress Octavia Spencer appeared as Mother Nature in an ad alongside Apple CEO Tim Cook. In 2020, the company had set a goal to go “net zero” by the end of the decade, at which point all of its products—laptops, CPUs, phones, earbuds—would be produced without increasing the level of carbon in the atmosphere. “Who wants to disappoint me first?” Mother Nature asked with a sly smile. It was a third of the way to 2030—a date embraced by many corporations aiming to stay in line with the UN’s goal of limiting warming to 1.5 °C over preindustrial levels—and where was the progress?

Tim Cook
Apple CEO Tim Cook stares down Octavia Spencer as “Mother Nature” in their ad spot touting the company’s claims for carbon neutrality.
APPLE VIA YOUTUBE

Cook was glad to inform her of the good news: The new Apple Watch was leading the way. A limited supply of the devices were already carbon neutral, thanks to things like recycled materials and parts that were specially sent by ship—not flown—from one factory to another. These special watches were labeled with a green leaf on Apple’s iconically soft, white boxes.

Critics were quick to point out that declaring an individual product “carbon neutral” while the company was still polluting had the whiff of an early victory lap, achieved with some convenient accounting. But the work on the watch spoke to the company’s grand ambitions. Apple claimed that changes like procuring renewable power and using recycled materials had enabled it to cut emissions 75% since 2015. “We’re always prioritizing reductions; they’ve got to come first,” Chris Busch, Apple’s director of environmental initiatives, told me soon after the launch. 

The company also acknowledged that it could not find reductions to balance all its emissions. But it was trying something new. 

Since the 1990s, companies have purchased carbon credits based largely on avoiding emissions. Take some patch of forest that was destined for destruction and protect it; the stored carbon that wasn’t lost is turned into credits. But as the carbon market expanded, so did suspicion of carbon math—in some cases, because of fraud or bad science, but also because efforts to contain deforestation are often frustrated, with destruction avoided in one place simply happening someplace else. Corporations that once counted on carbon credits for “avoided” emissions can no longer trust them. (Many consumers feel they can’t either, with some even suing Apple over the ways it used past carbon projects to make its claims about the Apple Watch.)

But that demand to cancel out carbon dioxide hasn’t gone anywhere—if anything, as AI-driven emissions knock some companies off track from reaching their carbon targets (and raise questions about the techniques used to claim emissions reductions), the need is growing. For Apple, even under the rosiest assumptions about how much it will continue to pollute, the gap is significant: In 2024, the company reported offsetting 700,000 metric tons of CO2, but the number it will need to hit in 2030 to meet its goals is 9.6 million. 

So the new move is to invest in carbon “removal” rather than avoidance. The idea implies a more solid achievement: taking carbon molecules out of the atmosphere. There are many ways to attempt that, from trying to change the pH of the oceans so that they absorb more of the molecules to building machines that suck carbon straight out of the air. But these are long-term fixes. None of these technologies work at the scale and price that would help Apple and others meet their shorter-term targets. For that, trees have emerged again as the answer. This time the idea is to plant new ones instead of protecting old ones. 

To expand those efforts in a way that would make a meaningful dent in emissions, Apple determined, it would also need to make carbon removal profitable. A big part of this effort would be driven by the Restore Fund, a $200 million partnership with Goldman Sachs and Conservation International, a US environmental nonprofit, to invest in “high quality” projects that promoted reforestation on degraded lands.  

Profits would come from responsibly turning trees into products, Goldman’s head of sustainability explained when the fund was announced in 2021. But it was also an opportunity for Apple, and future investors, to “almost look at, touch, and feel their carbon,” he said—a concreteness that carbon credits had previously failed to offer. “The aim is to generate real, measurable carbon benefits, but to do that alongside financial returns,” Busch told me. It was intended as a flywheel of sorts: more investors, more planting, more carbon—an approach to climate action that looked to abundance rather than sacrifice.

pedestrian walks past the Apple Store with reflection of branches in the glass
Apple's Carbon Neutral logo with the product Apple Watch

Apple markets its watch as a carbon-neutral product, a claim based in part on the use of carbon credits.

The announcement of the carbon-neutral Apple Watch was the occasion to promote the Restore Fund’s three initial investments, which included a native forestry project as well as eucalyptus farms in Paraguay and Brazil. The Brazilian timber plans were by far the largest in scale, and were managed by BTG Pactual, Latin America’s largest investment bank. 

Busch connected me with Mark Wishnie, head of sustainability for Timberland Investment Group, BTG’s US-based subsidiary, which acquires and manages properties on behalf of institutional investors. After years in the eucalyptus business, Wishnie, who lives in Seattle, was used to strong feelings about the tree. It’s just that kind of plant—heralded as useful, even ornamental; demonized as a fire starter, water-intensive, a weed. “Has the idea that eucalyptus is invasive come up?” he asked pointedly. (It’s an “exotic” species in Brazil, yes, but the risk of invasiveness is low for the varieties most commonly planted for forestry.) He invited detractors to consider the alternative to the scale and efficiency of eucalyptus, which, he pointed out, relieves the pressure that humans put on beloved old-growth forests elsewhere. 

Using eucalyptus for carbon removal also offered a new opportunity. Wishnie was overseeing a planned $1 billion initiative that was set to transform BTG’s timber portfolio; it aimed at a 50-50 split between timber and native restoration on old pastureland, with an emphasis on connecting habitats along rivers and streams. As a “high quality” project, it was meant to do better than business as usual. The conservation areas would exceed the legal requirements for native preservation in Brazil, which range from 20% to 35% in the Cerrado. In a part of Brazil that historically gets little conservation attention, it would potentially represent the largest effort yet to actually bring back the native landscape. 

When BTG approached Conservation International with the 50% figure, the organization thought it was “too good to be true,” Miguel Calmon, the senior director of the nonprofit’s Brazilian programs, told me. With the restoration work paid for by the green financing and the sale of carbon credits, scale and longevity could be achieved. “Some folks may do this, but they never do this as part of the business,” he said. “It comes from not a corporate responsibility. It’s about, really, the business that you can optimize.”

So far, BTG has raised $630 million for the initiative and earmarked 270,000 hectares, an area more than double the city of Los Angeles. The first farm in the plan, located on a 24,000-hectare cattle ranch, was called Project Alpha. The location, Wishnie said, was confidential. 

“We talk about restoration as if it’s a thing that happens,” Mark Wishnie says, promoting BTG’s plans to intermingle new farms alongside native preserves.
COURTESY OF BTG

But a property of that size sticks out, even in a land of large farms. It didn’t take very much digging into municipal land records in the Brazilian state of Mato Grosso do Sul, where many of the company’s Cerrado holdings are located, to turn up a recently sold farm that matched the size. It was called Fazenda Engano, or “Deception Farm”—hence the rebrand. The land was registered to an LLC with links to holding companies for other BTG eucalyptus plantations located in a neighboring region that locals had taken to calling the Cellulose Valley for its fast-expanding tree farms and pulp factories.  

The area was largely seen as a land of opportunity, even as some locals had raised the alarm over concerns that the land couldn’t handle the trees. They had allies in prominent ecologists who have long questioned the wisdom of tree-planting in the Cerrado—and increasingly spar with other conservationists who see great potential in turning pasture into forest. The fight has only gotten more heated as more investors hunt for new climate solutions. 

Still, where Apple goes, others often follow. And when it comes to sustainability, other companies look to it as a leader. I wasn’t sure if I could visit Project Alpha and see whether Apple and its partners had really found a better way to plant, but I started making plans to go to the Cerrado anyway, to see the forests behind those little green leaves on the box. 

Complex calculations

In 2015, a study by Thomas Crowther, an ecologist then at ETH Zürich, attempted a census of global tree cover, finding more than 3 trillion trees in all. A useful number, surprisingly hard to divine, like counting insects or bacteria. 

A follow-up study a few years later proved more controversial: Earth’s surface held space for at least 1 trillion more trees. That represented a chance to store 200 metric gigatons, or about 25%, of atmospheric carbon once they matured. (The paper was later corrected in multiple ways, including an acknowledgment that the carbon storage potential could be about one-third less.)

The study became a media sensation, soon followed by a fleet of tree-planting initiatives with “trillion” in the name—most prominently through a World Economic Forum effort launched by Salesforce CEO Marc Benioff at Davos, which President Donald Trump pledged to support during his first term. 

But for as long as tree planting has been heralded as a good deed—from Johnny Appleseed to programs that promise a tree for every shoe or laptop purchased—the act has also been chased closely by a follow-up question: How many of those trees survive? Consider Trump’s most notable planting, which placed an oak on the White House grounds in 2018. It died just over a year later. 

Donald Trump and Emmanuel Macron with shovels of dirt around a sapling. Melania Trump stands behind them watching.
During President Donald Trump’s first term, he and French president Emmanuel Macron planted an oak on the South Lawn of the White House.
CHIP SOMODEVILLA/GETTY IMAGES

To critics, including Bill Gates, the efforts were symbolic of short-term thinking at the expense of deeper efforts to cut or remove carbon. (Gates’s spat with Benioff descended to name-calling in the New York Times. “Are we the science people or are we the idiots?” he asked.) The lifespan of a tree, after all, is brief—a pit stop—compared with the thousand-year carbon cycle, so its progeny must carry the torch to meaningfully cancel out emissions. Most don’t last that long. 

“The number of trees planted has become a kind of currency, but it’s meaningless,” Pedro Brancalion, a professor of tropical forestry at the University of São Paulo, told me. He had nothing against the trees, which the world could, in general, use a lot more of. But to him, a lot of efforts were riding more on “good vibes” than on careful strategy. 

Soon after arriving in São Paulo last summer, I drove some 150 miles into the hills outside the city to see the outdoor lab Brancalion has filled with experiments on how to plant trees better: trees given too many nutrients or too little; saplings monitored with wires and tubes like ICU admits, or skirted with tarps that snatch away rainwater. At the center of one of Brancalion’s plots stands a tower topped with a whirling station, the size of a hobby drone, monitoring carbon going in and out of the air (and, therefore, the nearby vegetation)—a molecular tango known as flux. 

Brancalion works part-time for a carbon-focused restoration company, Re:Green, which had recently sold 3 million carbon credits to Microsoft and was raising a mix of native trees in parts of the Amazon and the Atlantic Forest. While most of the trees in his lab were native ones too, like jacaranda and brazilwood, he also studies eucalyptus. The lab in fact sat on a former eucalyptus farm; in the heart of his fields, a grove of 80-year-old trees dripped bark like molting reptiles. 

Pedro H.S. Brancalion
To Pedro Brancalion, a lot of tree-planting efforts are riding more on “good vibes” than on careful strategy. He experiments with new ways to grow eucalyptus interspersed with native species.
PABLO ALBARENGA

Eucalyptus planting swelled dramatically under Brazil’s military dictatorship in the 1960s. The goal was self-sufficiency—a nation’s worth of timber and charcoal, quickly—and the expansion was fraught. Many opinions of the tree were forged in a spate of dubious land seizures followed by clearing of the existing vegetation—disputes that, in some places, linger to this day. Still, that campaign is also said to have done just as Wishnie described, easing the demand that would have been put on regions like the Amazon as Rio and São Paulo were built. 

The new trees also laid the foundation for Brazil to become a global hub for engineered forestry; it’s currently home to about a third of the world’s farmed eucalyptus. Today’s saplings are the products of decades of tinkering with clonal breeding, growing quick and straight, resistant to pestilence and drought, with exacting growth curves that chart biomass over time: Seven years to maturity is standard for pulp. Trees planted today grow more than three times as fast as their ancestors. 

If the goal is a trillion trees, or many millions of tons of carbon, no business is better suited to keeping count than timber. It might sound strange to claim carbon credits for trees that you plan to chop down and turn into toilet paper or chairs. Whatever carbon is stored in those ephemeral products is, of course, a blip compared with the millennia that CO2 hangs in the atmosphere. 

But these carbon projects take a longer view. While individual trees may go, more trees are planted. The forest constantly regrows and recaptures carbon from the air. Credits are issued annually over decades, so long as the long-term average of the carbon stored in the grove continues to increase. What’s more, because the timber is constantly being tracked, the carbon is easy to measure, solving a key problem with carbon credits. 

Most mature native ecosystems, whether tropical forests or grasslands, will eventually store more carbon than a tree farm. But that could take decades. Eucalyptus can be planted immediately, with great speed, and the first carbon credits are issued in just a few years. “It fits a corporate model very well, and it fits the verification model very well,” said Robin Chazdon, a forest researcher at Australia’s University of the Sunshine Coast.

Today’s eucalyptus saplings—like those shown here in Brancalion’s lab—are the products of decades of tinkering with clonal breeding, growing quick and straight.
PABLO ALBARENGA

Reliability and stability have also made eucalyptus, as well as pine, quietly dominant in global planting efforts. A 2019 analysis published in Nature found that 45% of carbon removal projects the researchers studied worldwide involved single-species tree farms. In Brazil, the figure was 82%. The authors called this a “scandal,” accusing environmental organizations and financiers of misleading the public and pursuing speed and convenience at the expense of native restoration.  

In 2023, the nonprofit Verra, the largest bearer of carbon credit standards, said it would forbid projects using “non-native monocultures”—that is, plants like eucalyptus or pine that don’t naturally grow in the places where they’re being farmed. The idea was to assuage concerns that carbon credits were going to plantations that would have been built anyway given the demand for wood, meaning they wouldn’t actually remove any extra carbon from the atmosphere.

The uproar was immediate—from timber companies, but also from carbon developers and NGOs. How would it be possible to scale anything—conservation, carbon removal—without them?

Verra reversed course several months later. It would allow non-native monocultures so long as they grew in land that was deemed “degraded,” or previously cleared of vegetation—land like cattle pasture. And it took steps to avoid counting plantings in close proximity to other areas of fast tree growth, the idea being that they wanted to avoid rewarding purely industrial projects that would’ve been planted anyway. 

Native trees surrounded by eucalyptus
Despite the potential benefits of intermixing them, foresters generally prefer to keep eucalyptus and native species separate.
PABLO ALBARENGA

Brancalion happened to agree with the criticisms of exotic monocultures. But all the same, he believed eucalyptus had been unfairly demonized. It was a marvelous genus, actually, with nearly 800 species with unique adaptations. Natives could be planted as monocultures too, or on stolen land, or tended with little care. He had been testing ways to turn eucalyptus from perceived foes into friends of native forest restoration.

His idea was to use rows of eucalyptus, which rocket above native species, as a kind of stabilizer. While these natives can be valuable—either as lumber or for biodiversity—they may grow slowly, or twist in ways that make their wood unprofitable, or suddenly and inexplicably die. It’s never like that with eucalyptus, which are wonderfully predictable growers. Eventually, their harvested wood would help pay for the hard work of growing the others. 

In practice, foresters have generally preferred to keep things separate. Eucalyptus here; restoration there. It was far more efficient. The approach was emblematic, Brancalion thought, of letting the economics of the industry guide what was planted, how, and where, even with green finance involved. Though he admitted he was speaking as something of a competitor given his own carbon work, he was perplexed by Apple’s choices. The world’s richest company was doing eucalyptus? And with a bank better known locally as a major investor in industries, like beef and soy, that contributed to deforestation than any efforts for native restoration.

It also worried him to see the planting happening west of here, in the Cerrado, where land is cheaper and also, for much of the year, drier. “It’s like a bomb,” Brancalion told me. “You can come interview me in five, six years. You don’t have to be super smart to realize what will happen after planting too many eucalyptus in a dry region.” He wished me luck on my journey westward.   

The sacrifice zone

Savanna implies openness, but the European settlers passing through the Cerrado called it the opposite; the name literally means “closed.” Grasses and shrubs grow to chest height, scaled as if to maximize human inconvenience. A machete is advised. 

As I headed with Borzone toward a small nature preserve called Parque do Pombo, she told me that young Brazilians are often raised with a sense of dislike, if not fear, of this land. When Borzone texted her mother, a local biologist, to say where we were going, she replied: “I hear that place is full of ticks.” (Her intel, it turned out, was correct.)

At one point, even prominent ecologists, fearing total destruction of the Amazon, advocated moving industry to the Cerrado, invoking a myth about casting a cow into piranha-infested waters so that the other cows could ford downstream.
PABLO ALBARENGA

What can be easy to miss is the fantastic variety of these plants, the result of natural selection cranked into overdrive. Species, many of which blew in from the Amazon, survived by growing deep roots through the acidic soil and thicker bark to resist regular brush fires. Many of the trees developed the ability to shrivel upon themselves and drop their leaves during the long, dry winter. Some call it a forest that has grown upside down, because much of the growth occurs in the roots. The Cerrado is home to 12,000 flowering plant species, 4,000 of which are found only there. In terms of biodiversity, it is second in the world only to its more famous neighbor, the Amazon. 

Caryocar brasiliense flowers and fruits
Pequi is an edible fruit-bearing tree common in the Cerrado—one of the many unique species native to the area.
ADOBE STOCK

Each stop on our drive seemed to yield a new treasure for Borzone to show me: Guavira, a tree that bears fruit in grape-like bunches that appear only two weeks in a year; it can be made into a jam that is exceptionally good on toast. Pequi, more divisive, like fermented mango mixed with cheese. Others bear names Borzone can only faintly recall in the Indigenous Guaraní language and is thus unable to google. Certain uses are more memorable: Give this one here, a tiny frond that looks like a miniature Christmas fir, to make someone get pregnant.

Borzone had grown up in the heart of the savanna, and the land had changed significantly since she was a kid going to the river every weekend with her family. Since the 1970s, about half of the savanna has been cleared, mostly for ranching and, where the soil is good, soybeans. At that time, even prominent ecologists, fearing total destruction of the Amazon, advocated moving industry here, invoking what Brazilians call the boi de piranha—a myth about casting a cow into infested waters so that the other cows could ford downstream. 

Toby Pennington, a Cerrado ecologist at the University of Exeter, told me it remains a sacrificial zone, at times faring worse when environmentally minded politicians are in power. In 2023, when deforestation fell by half in the Amazon, it rose by 43% in the Cerrado. Some ecologists warn that this ecosystem could be entirely gone in the next decade.

Perhaps unsurprisingly, there’s a certain prickliness among grassland researchers, who are, like their chosen flora, used to being trampled. In 2019, 46 of them authored a response in Science to Crowther’s trillion-trees study, arguing not about tree counting but about the land he proposed for reforestation. Much of it, they argued, including places like the Cerrado, was not appropriate for so many trees. It was too much biomass for the land to handle. (If their point was not already clear, the scientists later labeled the phenomenon “biome awareness disparity,” or BAD.)

“It’s a controversial ecosystem,” said Natashi Pilon, a grassland ecologist at the University of Campinas near São Paulo. “With Cerrado, you have to forget everything that you learn about ecology, because it’s all based in forest ecology. In the Cerrado, everything works the opposite way. Burning? It’s good. Shade? It’s not good.” The Cerrado contains a vast range of landscapes, from grassy fields to wooded forests, but the majority of it, she explained, is poorly suited to certain rules of carbon finance that would incentivize people to protect or restore it. While the underground forest stores plenty of carbon, it builds up its stock slowly and can be difficult to measure. 

The result is a slightly uncomfortable position for ecologists studying and trying to protect a vanishing landscape. Pilon and her former academic advisor, Giselda Durigan, a Cerrado ecologist at the Environmental Research Institute of the State of São Paulo and one of the scientists behind BAD, have gotten accustomed to pushing back on people who arrived preaching “improvement” through trees—first from nonprofits, mostly of the trillion-trees variety, but now from the timber industry. “They are using the carbon discourse as one more argument to say that business is great,” Durigan told me. “They are happy to be seen as the good guys.” 

Durigan saw tragedy in the way that Cerrado had been transformed into cattle pasture in just a generation, but there was also opportunity in restoring it once the cattle left. Bringing the Cerrado back would be hard work—usually requiring fire and hacking away at invasive grasses. But even simply leaving it alone could allow the ecosystem to begin to repair itself and offer something like the old savanna habitat. Abandoned eucalyptus farms, by contrast, were nightmares to return to native vegetation; the strange Cerrado plants refused to take root in the highly modified soil. 

In recent years, Durigan had visited hundreds of eucalyptus farms in the area, shadowing her students who had been hired by timber companies to help establish promised corridors of native vegetation in accordance with federal rules. “They’re planting entire watersheds,” she said. “The rivers are dying.” 

Durigan saw plants in isolated patches growing taller than they normally would, largely thanks to the suppression of regular brush fires. They were throwing shade on the herbs and grasses and drawing more water. The result was an environment gradually choking on itself, at risk of collapse during drought and retaining only a fraction of the Cerrado’s original diversity. If this was what people meant by bringing back the Cerrado, she believed it was only hastening its ultimate disappearance. 

In a recent survey of the watershed around the Parque do Pombo, which is hemmed in on each side by eucalyptus, two other researchers reported finding “devastation” and turned to Plato’s description of Attica’s forests, cleared to build the city of Athens: “What remains now compared to what existed is like the skeleton of a sick man … All the rich and soft soil has dissolved, leaving the country of skin and bones.” 

aerial view of the highway with trucks. On the right hand side trees are being felled and stacked by machines
A highway runs through the Cellulose Valley, connecting commercial eucalyptus farms and pulp factories.
PABLO ALBARENGA

After a long day of touring the land—and spinning out on the clay—we found that our fuel was low. The Parque do Pombo groundskeeper looked over at his rusting fuel tank and apologized. It had been spoiled by the last rain. At least, he said, it was all downhill to the highway. 

The road of opportunity

We only made it about halfway down the eucalyptus-lined road. After the car huffed and left us stranded, Borzone and I started walking toward the highway, anticipating a long night. We remembered locals’ talk of jaguars recently pushed into the area by development. 

But after only 30 minutes or so, a set of lights came into view across the plain. Then another, and another. Then the outline of a tractor, a small tanker truck, and, somewhat curiously, a tour bus. The gear and the vehicles bore the logo of Suzano, the world’s largest pulp and paper company.

After talking to a worker, we boarded the empty tour bus and were taken to a cluster of spotlit tents, where women prepared eucalyptus seedlings, stacking crates of them on white fold-out tables. A night shift like this one was unusual. But they were working around the clock—aiming to plant a million trees per day across Suzano’s farms, in preparation for opening the world’s largest pulp factory just down the highway. It would open in a few weeks with a capacity of 2.55 million metric tons of pulp per year. 

Semi trucks laden with trees
Eucalyptus has become the region’s new lifeblood. “I’m going to plant some eucalyptus / I’ll get rich and you’ll fall in love with me,” sings a local country duo.
PABLO ALBARENGA

The tour bus was standing by to take the workers down the highway at 1 a.m., arriving in the nearest city, Três Lagoas, by 3 a.m. to pick up the next shift. “You don’t do this work without a few birds at home to feed,” a driver remarked as he watched his colleagues filling holes in the field by the light of their headlamps. After getting permission from his boss, he drove us an hour each way to town to the nearest gas station.

This highway through the Cellulose Valley has become known as a road of opportunity, with eucalyptus as the region’s new lifeblood after the cattle industry shrank its footprint. Not far from the new Suzano factory, a popular roadside attraction is an oversize sculpture of a black bull at the gates of a well-known ranch. The ranch was recently planted, and the bull is now guarded by a phalanx of eucalyptus. 

On TikTok, workers post selfies and views from tractors in the nearby groves, backed by a song from the local country music duo Jads e Jadson. “I’m going to plant some eucalyptus / I’ll get rich and you’ll fall in love with me,” sings a down-on-his-luck man at risk of losing his fiancée. Later, when he cuts down the trees and becomes a wealthy man with better options, he cuts off his betrothed, too. 

The race to plant more eucalyptus here is backed heavily by the state government, which last year waived environmental requirements for new farms on pasture and hopes to quickly double its area in just a few years. The trees were an important component of Brazil’s plan to meet its global climate commitments, and the timber industry was keen to cash in. Companies like Suzano have already proposed that tens of thousands of their hectares become eligible for carbon credits. 

What’s top of mind for everyone, though, is worsening fires. Even when we visited in midwinter, the weather was hot and dry. The wider region was in a deep drought, perhaps the worst in 700 years, and in a few weeks, one of the worst fire seasons ever would begin. Suzano would be forced to make a rare pause in its planting when soil temperatures reached 154 °F. 

Posted along the highway are constant reminders of the coming danger: signs, emblazoned with the logos of a dozen timber companies, that read “FOGO ZERO,” or “ZERO FIRE.” 

land recently cleared on eucalyptus with the straight trunk stacked in piles along a dirt road for the machines to pass through
The race to plant more eucalyptus is backed heavily by the state government, which hopes to quickly double its area in just a few years.
PABLO ALBARENGA

In other places struck by megafires, like Portugal and Chile, eucalyptus has been blamed for worsening the flames. (The Chilean government has recently excluded pine and eucalyptus farms from its climate plans.) But here in Brazil, where climate change is already supersizing the blazes, the industry offers sophisticated systems to detect and suppress fires, argued Calmon of Conservation International. “You really need to protect it because that’s your asset,” he said. (BTG also noted that in parts of the Cerrado where human activity has increased, fires have decreased.) 

Eucalyptus is often portrayed as impossibly thirsty compared with other trees, but Calmon pointed out it is not uniquely so. In some parts of the Cerrado, it has been found to consume four times as much water as native vegetation; in others, the two landscapes have been roughly in line. It depends on many factors—what type of soil it’s planted in, what Cerrado vegetation coexists with it, how intensely the eucalyptus is farmed. Timber companies, which have no interest in seeing their own plantations run dry, invest heavily in managing water. Another hope, Wishnie told me, is that by vastly increasing the forest canopy, the new eucalyptus will actually gather moisture and help produce rain. 

Marine Dubos-Raoul
Marine Dubos-Raoul has tracked waves of planting in the Cerrado for years and has spoken to residents who worry about how the trees strain local water supplies.
PABLO ALBARENGA

That’s a common narrative and one that’s been taught in schools here in Três Lagoas for decades, Borzone explained when we met up the day after our rescue with Marine Dubos-Raoul, a local geographer and university professor, and two of her students. Dubos-Raoul laughed uneasily. If this idea about rain was in fact true, they hadn’t seen it here. They crouched around the table at the cafe, speaking in a hush; their opinions weren’t particularly popular in this lumber town.

Dubos-Raoul had long tracked the impacts of the waves of planting on longtime rural residents, who complained that industry had taken their water or sprayed their gardens with pesticides. 

The evidence tying the trees to water problems in the region, Dubos-Raoul admitted, is more anecdotal than data driven. But she heard it in conversation after conversation. “People would have tears in their eyes,” she said. “It was very clear to them that it was connected to the arrival of the eucalyptus.” (Since our meeting, a study, carried out in response to demands from local residents, has blamed the planting for 350 depleted springs in the area, sparking a rare state inquiry into the issue.) In any case, Dubos-Raoul thought, it didn’t make much sense to keep adding matches to the tinderbox.

Shortly after talking with Dubos-Raoul, we ventured to the town of Ribas do Rio Pardo to meet Charlin Castro at his family’s river resort. Suzano’s new pulp factory stood on the horizon, surrounded by one of the densest areas of planting in the region. 

The Suzano pulp factory—the world’s largest—has pulled the once-sleepy town of Ribas do Rio Pardo into the bustling hub of Brazil’s eucalyptus industry.
PABLO ALBARENGA
five people with a dog, seated outdoors under a pergola
Charlin Castro, his father Camilo, and other locals talk about how the area around the family’s river resort has changed since eucalyptus came to town.
two men in the river; the opposite bank has been cordoned off with caution tape.
The public area for bathing on the far side of the shrinking river was closed after the Suzano pulp factory was installed.

Charlin and Camilo admit they aren’t exactly sure what is causing low water levels—maybe it’s silt, maybe it’s the trees.
PABLO ALBARENGA

With thousands of workers arriving, mostly temporarily, to build the factory and plant the fields, the sleepy farming village had turned into a boomtown, and developed something of a lawless reputation—prostitution, homelessness, collisions between logging trucks and drunk drivers—and Castro was chronicling much of it for a hyperlocal Instagram news outlet, while also running for city council. 

But overall, he was thankful to Suzano. The factory was transforming the town into a “a real place,” as he put it, even if change was at times painful. 

His father, Camilo, gestured with a sinewy arm over to the water, where he recalled boat races involving canoes with crews of a dozen. That was 30 years ago. It was impossible to imagine now as I watched a family cool off in this bend in the river, the water just knee deep. But it’s hard to say what exactly is causing the low water levels. Perhaps it’s silt from the ranches, Charlin suggested. Or a change in the climate. Or, maybe, it could be the trees. 

Upstream, Ana Cláudia (who goes by “Tica”) and Antonio Gilberto Lima were more certain what was to blame. The couple, who are in their mid-60s, live in a simple brick house surrounded by fruit trees. They moved there a decade ago, seeking a calm retirement—one of a hundred or so families taking part in land reforms that returned land to smallholders. But recently, life has been harder. To preserve their well, they had let their vegetable garden go to seed. Streams were dry, and the old pools in the pastures where they used to fish were gone, replaced by trees; tapirs were rummaging through their garden, pushed, they believed, by lack of habitat. 

Antônio Gilberto Lima and Ana Cláudia Gregório Braguim standing in front of semi trucks
Ana Cláudia and Antonio Gilberto Lima have seen their land struggle since eucalyptus plantations took over the region.
PABLO ALBARENGA
close up of a hand touching a branch with numerous bite holes and brown spots on all the leaves
Plants have been attacked by hungry insects at their home.
closeup on a cluster of insects nesting in a plant
Pollinators like these stingless bees, faced with a lack of variety of native plant species, must fly greater distances to collect pollen they need.

They were surrounded by eucalyptus, planted in waves with the arrival of each new factory. No one was listening, they told me, as the cattle herd bellowed outside the door. “The trees are sad,” Gilberto said, looking out over his few dozen pale-humped animals grazing around scattered Cerrado species left in the paddock. Tica told me she knew that paper and pulp had to come from somewhere, and that many people locally were benefiting. But the downsides were getting overlooked, she thought. They had signed a petition to the government, organized by Dubos-Raoul, seeking to rein in the industry. Perhaps, she hoped, it could reach American investors, too. 

The green halo 

A few weeks before my trip, BTG had decided it was ready to show off Project Alpha. The visit was set for my last day in Brazil; the farm formerly known as Fazenda Engano was further upriver in Camapuã, a town that borders Ribas do Rio Pardo. It was a long, circuitous drive north to get out there, but it wouldn’t be that way much longer; a new highway was being paved that would directly connect the two towns, part of an initiative between the timber industry and government to expand the cellulose hub northward. A local official told me he expected tens of thousands of hectares of eucalyptus in the next few years.

For now, though, it was still the frontier. The intention was to plant “well outside the forest sector,” Wishnie told me—not directly in the shadow of a mill, but close enough for the operation to be practical, with access to labor and logistics. That distance was important evidence that the trees would store more carbon than what’s accounted for in a business-as-usual scenario. The other guarantee was the restoration. It wasn’t good business to buy land and not plant every acre you could with timber. It was made possible only with green investments from Apple and others.

That morning, Wishnie had emailed me a press release announcing that Microsoft had joined Apple in seeking help from BTG to help meet its carbon demands. The technology giant had made the largest-ever purchase of carbon credits, representing 8 million tons of CO2, from Project Alpha, following smaller commitments from TSMC and Murata, two of Apple’s suppliers. 

I was set to meet Carlos Guerreiro, head of Latin American operations for BTG’s timber subsidiary, at a gas station in town, where we would set off together for the 24,000-hectare property. A forester in Brazil for much of his life, he had flown in from his home near São Paulo early that morning; he planned to check out the progress of the planting at Project Alpha and then swing down to the bank’s properties across the Cellulose Valley, where BTG was finalizing a $376 million deal to sell land to Suzano. 

BTG plans to mix preserves of native restoration and eucalyptus farms and eventually reach a 50-50 mix on their properties.
COURTESY OF BTG

Guerreiro defended BTG’s existing holdings as sustainable engines of development in the region. But all the same, Project Alpha felt like a new beginning for the company, he told me. About a quarter of this property had been left untouched when the pasture was first cleared in the 1980s, but the plan now was to restore an additional 13% of the property to native Cerrado plants, bringing the total to 37%. (BTG says it will protect more land on future farms to arrive at its 50-50 target.) Individual patches of existing native vegetation would be merged with others around the property, creating a 400-meter corridor that largely followed the streams and rivers—beyond the 60 meters required by law. 

The restoration work was happening with the help of researchers from a Brazilian university, though they were still testing the best methods. We stood over trenches that had been planted with native seeds just weeks before, shoots only starting to poke out of the dirt. Letting the land regenerate on its own was often preferable, Guerreiro told me, but the best approach would depend on the specifics of each location. In other places, assistance with planting or tending or clearing back the invasive grasses could be better. 

The approach of largely letting things be was already yielding results, he noted: In parts of the property that hadn’t been grazed in years, they could already see the hardscrabble Cerrado clawing back with a vengeance. They’d been marveling at the fauna, caught on camera traps: tapirs, anteaters, all kinds of birds. They had even spotted a jaguar. The project would ensure that this growth would continue for decades. The land wouldn’t be sold to another rancher and go back to looking like other parts of the property, which were regularly cleared of native habitat. The hope, he said, was that over time the regenerating ecosystems would store more carbon, and generate more credits, than the eucalyptus. (The company intends to submit its carbon plans to Verra later this year.)

We stopped for lunch at the dividing line between the preserve and the eucalyptus, eating ham sandwiches in the shade of the oldest trees on the property, already two stories tall and still, by Guerreiro’s estimate, putting on a centimeter per day. He was planting at a rate of 40,000 seedlings per day in neat trenches filled with white lime to make the sandy Cerrado soil more inviting. In seven years or so, half of the trees will be thinned and pulped. The rest will keep growing. They’ll stand for seven years longer and grow thick and firm enough for plywood. The process will then start anew. Guerreiro described a model where clusters of farms mixed with preserves like this one will be planted around mills throughout the Cerrado. But nothing firm had been decided.

Eucalyptus tree seedlings
“Under no circumstances should planting eucalyptus ever be considered a viable project to receive carbon credits in the Cerrado,” says Lucy Rowland, an expert on the region at the University of Exeter.
PABLO ALBARENGA

This experiment, Wishnie told me later, could have a big payoff. The important thing, he reminded me, was that stretches of the Cerrado would be protected at a scale no one had achieved before—something that wouldn’t happen without eucalyptus. He strongly disagreed with the scientists who said eucalyptus didn’t fit here. The government had analyzed the watershed, he explained, and he was confident the land could support the trees. At the end of the day, the choice was between doing something and doing nothing. “We talk about restoration as if it’s a thing that happens,” he said. 

When I asked Pilon to take a look at satellite imagery and photos of the property, she was unimpressed. It looked to her like yet another misguided attempt at planting trees in an area that had once naturally been a dense savanna. (Her assessment is supported by a land survey from the 1980s that classified this land as a typical Cerrado ecosystem—some trees, but mostly shrubbery. BTG responded that the survey was incorrect and the satellite images clearly showed a closed-canopy forest.) 

As Lucy Rowland, an expert on the region at the University of Exeter and another BAD signatory, put it: “Under no circumstances should planting eucalyptus ever be considered a viable project to receive carbon credits in the Cerrado.” 

Over months of reporting, the way that both sides spoke in absolutes about how to save this vanishing ecosystem had become familiar. Chazdon, the Australia-based forest researcher, told me she too felt that the tenor of the argument over how and where to grow has become more vehement as demand for tree-based carbon removal has intensified. “Nobody’s a villain,” she said. “There are disconnects on both sides.”

Chazdon had been excited to hear about BTG’s project. It was, she thought, the type of thing that was sorely needed in conservation—mixing profitable enterprises with an approach to restoration that considers the wider landscape. “I can understand why the Cerrado ecologists are up in arms,” she said. “They get the feeling that nobody cares about their ecosystems.” But demands for ecological purity could indeed get in the way of doing much of anything—especially in places like the Cerrado, where laws and financing favor destruction over restoration. 

Still, thinking about the scale of the carbon removal problem, she considered it sensible to wonder about the future that was being hatched. While there is, in fact, a limit to how much additional land the world needs for pulp and plywood products in the near future, there is virtually no limit to how much land it could devote to sequestering carbon. Which means we need to ask hard questions about the best way to use it. 

More eucalyptus may support claims about greener paper products, but some argue that it’s not so simple for laptops and smart watches and ChatGPT queries.
PABLO ALBARENGA

It was true, Chazdon said, that planting eucalyptus in the Cerrado was an act of destruction—it’d make that land nearly impossible to recover. The areas preserved in between them would also likely struggle to fully renew itself, without fire or clearing. She would feel more comfortable with such large-scale projects if the bar for restoration were much higher—say, 75% or more. But that almost certainly wouldn’t satisfy her grassland colleagues who don’t want any eucalyptus at all. And it might not fit the profit model—the flywheel that Apple and others are seeking in order to scale up carbon removal fast. 

Barbara Haya, who studies carbon offsets at the University of California, Berkeley, encouraged me to think about all of it differently. The improvements to planting eucalyptus here, at this farm, could be a perfectly good thing for this industry, she said. Perhaps they merit some claim about greener toilet paper or plywood. Haya would leave that debate to the ecologists.

But we weren’t talking about toilet paper or plywood. We were talking about laptops and smart watches and ChatGPT. And the path to connecting those things to these trees was more convoluted. The carbon had to be disentangled first from the wood’s other profitable uses and then from the wider changes that were happening in this region and its industries. There seemed to be many plausible scenarios for where this land was heading. Was eucalyptus the only feasible route for carbon to find its way here? 

Haya is among the experts who argue that the idea of precisely canceling out corporate emissions to reach carbon neutrality is a broken one. That’s not to say protecting nature can’t help fight climate change. Conserving existing forests and grasslands, for example, could often yield greater carbon and biodiversity benefits in the long run than planting new forests. But the carbon math used to justify those efforts was often fuzzier. This makes every claim of carbon neutrality fragile and drives companies toward projects that are easier to prove, she thinks, but perhaps have less impact. 

One idea is that companies should instead shift to a “contribution” model that tracks how much money they put toward climate mitigation, without worrying about the exact amount of carbon removed. “Let’s say the goal is to save the Cerrado,” Haya said. “Could they put that same amount of money and really make a difference?” Such an approach, she pointed out, could help finance the preservation of those last intact Cerrado remnants. Or it could fund restoration, even if the restored vegetation takes years to grow or sometimes needs to burn. 

The approach raises its own questions—about how to measure the impact of those investments and what kinds of incentives would motivate corporations to act. But it’s a vision that has gained more popularity as scrutiny of carbon credits grows and the options available to companies narrow. With the current state of the world, “what private companies do matters more than ever,” Haya told me. “We need them not to waste money.” 

In the meantime, it’s up to the consumer reading the label to decide what sort of path we’re on. 

A row of eucalyptus running horizontally across the frame in a pink and purple sky
“There’s nothing wrong with the trees,” geographer and translator Clariana Vilela Borzone says. “I have to remind myself of that.”
PABLO ALBARENGA

Before we left the farm, Borzone and I had one more task: to plant a tree. The sun was getting low over Project Alpha when I was handed an iron contraption that cradled a eucalyptus seedling, pulled from a tractor piled with plants. 

“There’s nothing wrong with the trees,” Borzone had said earlier, squinting up at the row of 18-month-old eucalyptus, their fluttering leaves flashing in the hot wind as if in an ill-practiced burlesque show. “I have to remind myself of that.” But still it felt strange putting one in the ground. We were asking so much of it, after all. And we were poised to ask more.

I squeezed the handle, pulling the iron hinge taut and forcing the plant deep into the soil. It poked out at a slight angle that I was sure someone else would need to fix later, or else this eucalyptus tree would grow askew. I was slow and clumsy in my work, and by the time I finished, the tractor was far ahead of us, impossibly small on the horizon. The worker grabbed the tool from my hand and headed toward it, pushing seedlings down as he went, hurried but precise, one tree after another.

Gregory Barber is a journalist based in San Francisco. 

This story was produced in partnership with the McGraw Center for Business Journalism at the Craig Newmark Graduate School of Journalism at the City University of New York, as well as support from the Fund for Investigative Journalism.

Inside a romance scam compound—and how people get tricked into being there

Heading north in the dark, the only way Gavesh could try to track his progress through the Thai countryside was by watching the road signs zip by. The Jeep’s three occupants—Gavesh, a driver, and a young Chinese woman—had no languages in common, so they drove for hours in nervous silence as they wove their way out of Bangkok and toward Mae Sot, a city on Thailand’s western border with Myanmar.

When they reached the city, the driver pulled off the road toward a small hotel, where another car was waiting. “I had some suspicions—like, why are we changing vehicles?” Gavesh remembers. “But it happened so fast.”

They left the highway and drove on until, in total darkness, they parked at what looked like a private house. “We stopped the vehicle. There were people gathered. Maybe 10 of them. They took the luggage and they asked us to come,” Gavesh says. “One was going in front, there was another one behind, and everyone said: ‘Go, go, go.’” 

Gavesh and the Chinese woman were marched through the pitch-black fields by flashlight to a riverside where a boat was moored. By then, it was far too late to back out.

Gavesh’s journey had started, seemingly innocently, with a job ad on Facebook promising work he desperately needed.

Instead, he found himself trafficked into a business commonly known as “pig butchering”—a form of fraud in which scammers form romantic or other close relationships with targets online and extract money from them. The Chinese crime syndicates behind the scams have netted billions of dollars, and they have used violence and coercion to force their workers, many of them people trafficked like Gavesh, to carry out the frauds from large compounds, several of which operate openly in the quasi-lawless borderlands of Myanmar. 

We spoke to Gavesh and five other workers from inside the scam industry, as well as anti-trafficking experts and technology specialists. Their testimony reveals how global companies, including American social media and dating apps and international cryptocurrency and messaging platforms, have given the fraud business the means to become industrialized. By the same token, it is Big Tech that may hold the key to breaking up the scam syndicates—if only these companies can be persuaded or compelled to act.


We’re identifying Gavesh using a pseudonym to protect his identity. He is from a country in South Asia, one he asked us not to name. He hasn’t shared his story much, and he still hasn’t told his family. He worries about how they’d handle it. 

Until the pandemic, he had held down a job in the tourism industry. But lockdowns had gutted the sector, and two years later he was working as a day laborer to support himself and his father and sister. “I was fed up with my life,” he says. “I was trying so hard to find a way to get out.”

When he saw the Facebook post in mid-2022, it seemed like a godsend. A company in Thailand was looking for English-speaking customer service and data entry specialists. The monthly salary was $1,500—far more than he could earn at home—with meals, travel costs, a visa, and accommodation included. “I knew if I got this job, my life would turn around. I would be able to give my family a good life,” Gavesh says.

What came next was life-changing, but not in the way Gavesh had hoped. The advert was a fraud—and a classic tactic syndicates use to force workers like Gavesh into an economy that operates as something like a dark mirror of the global outsourcing industry. 

The true scale of this type of fraud is hard to estimate, but the United Nations reported in 2023 that hundreds of thousands of people had been trafficked to work as online scammers in Southeast Asia. One 2024 study, from the University of Texas, estimates that the criminal syndicates that run these businesses have stolen at least $75 billion since 2020. 

These schemes have been going on for more than two decades, but they’ve started to capture global attention only recently, as the syndicates running them increasingly shift from Chinese targets toward the West. And even as investigators, international organizations, and journalists gradually pull back the curtain on the brutal conditions inside scamming compounds and document their vast scale, what is far less exposed is the pivotal role platforms owned by Big Tech play throughout the industry—from initially coercing individuals to become scammers to, finally, duping scam targets out of their life savings. 

As losses mount, governments and law enforcement agencies have looked for ways to disrupt the syndicates, which have become adept at using ungoverned spaces in lawless borderlands and partnering with corrupt regimes. But on the whole, the syndicates have managed to stay a step ahead of law enforcement—in part by relying on services from the world’s tech giants. Apple iPhones are their preferred scamming tools. Meta-owned Facebook and WhatsApp are used to recruit people into forced labor, as is Telegram. Social media and messaging platforms, including Facebook, Instagram, WhatsApp, WeChat, and X, provide spaces for scammers to find and lure targets. So do dating apps, including Tinder. Some of the scam compounds have their own Starlink terminals. And cryptocurrencies like tether and global crypto platforms like Binance have allowed the criminal operations to move money with little or no oversight.

view from the back of crowd of people seated on the ground in a courtyard surrounded aby guards
Scam workers sit inside Myanmar’s KK Park, a notorious fraud hub near the border with Thailand, following a recent crackdown by law enforcement.
REUTERS

“Private-sector corporations are, unfortunately, inadvertently enabling this criminal industry,” says Andrew Wasuwongse, the Thailand country director at the anti-trafficking nonprofit International Justice Mission (IJM). “The private sector holds significant tools and responsibility to disrupt and prevent its further growth.”

Yet while the tech sector has, slowly, begun to roll out anti-scam tools and policies, experts in human trafficking, platform integrity, and cybercrime tell us that these measures largely focus on the downstream problem: the losses suffered by the victims of the scams. That approach overlooks the other set of victims, often from lower-income countries, at the far end of a fraud “supply chain” that is built on human misery—and on Big Tech. Meanwhile, the scams continue on a mass scale.

Tech companies could certainly be doing more to crack down, the experts say. Even relatively small interventions, they argue, could start to erode the business model of the scam syndicates; with enough of these, the whole business could start to founder. 

“The trick is: How do you make it unprofitable?” says Eric Davis, a platform integrity expert and senior vice president of special projects at the Institute for Security and Technology (IST), a think tank in California. “How do you create enough friction?”

That question is only becoming more urgent as many tech companies pull back on efforts to moderate their platforms, artificial intelligence supercharges scam operations, and the Trump administration signals broad support for deregulation of the tech sector while withdrawing support from organizations that study the scams and support the victims. All these trends may further embolden the syndicates. And even as the human costs keep building, global governments exert ineffectual pressure—if any at all—on the tech sector to turn its vast financial and technical resources against a criminal economy that has thrived in the spaces Silicon Valley built. 


Capturing a vulnerable workforce

The roots of “pig butchering” scams reach back to the offshore gambling industry that emerged from China in the early 2000s. Online casinos had become hugely popular in China, but the government cracked down, forcing the operators to relocate to Cambodia, the Philippines, Laos, and Myanmar. There, they could continue to target Chinese gamblers with relative impunity. Over time, the casinos began to use social media to entice people back home, deploying scam-like tactics that frequently centered on attractive and even nude dealers.

The doubts didn’t really start until after Gavesh reached Bangkok’s Suvarnabhumi Airport. As time ticked by, it began to occur to him that he was alone, with no money, no return ticket, and no working SIM card.

“Often the romance scam was a part of that—building romantic relationships with people that you eventually would aim to hook,” says Jason Tower, Myanmar country director at the United States Institute of Peace (USIP), a research and diplomacy organization funded by the US government, who researches the cyber scam industry. (USIP’s leadership was recently targeted by the Trump administration and Elon Musk’s Department of Government Efficiency task force, leaving the organization’s future uncertain; its website, which previously housed its research, is also currently offline.)

By the late 2010s, many of the casinos were big, professional operations. Gradually, says Tower, the business model turned more sinister, with a tactic called sha zhu pan in Chinese emerging as a core strategy. Scamming operatives work to “fatten up” or cultivate a target by building a relationship before going in for the “slaughter”—persuading them to invest in a supposedly once-in-a-lifetime scheme and then absconding with the money. “That actually ended up being much, much more lucrative than online gambling,” Tower says. (The international law enforcement organization Interpol no longer uses the graphic term “pig butchering,” citing concerns that it dehumanizes and stigmatizes victims.) 

Like other online industries, the romance scamming business was supercharged by the pandemic. There were simply more isolated people to defraud, and more people out of work who might be persuaded to try scamming others—or who were vulnerable to being trafficked into the industry.

Initially, most of the workers carrying out the frauds were Chinese, as were the fraud victims. But after the government in Beijing tightened travel restrictions, making it hard to recruit Chinese laborers, the syndicates went global. They started targeting more Western markets and turning, Tower says, to “much more malign types of approaches to tricking people into scam centers.” 


Getting recruited

Gavesh was scrolling through Facebook when he saw the ad. He sent his résumé to a Telegram contact number. A human resources representative replied and had him demonstrate his English and typing skills over video. It all felt very professional. “I didn’t have any reason to suspect,” he says.

The doubts didn’t really start until after he reached Bangkok’s Suvarnabhumi Airport. After being met at arrivals by a man who spoke no English, he was left to wait. As time ticked by, it began to occur to Gavesh that he was alone, with no money, no return ticket, and no working SIM card. Finally, the Jeep arrived to pick him up.

Hours later, exhausted, he was on a boat crossing the Moei River from Thailand into Myanmar. On the far bank, a group was waiting. One man was in military uniform and carried a gun. “In my country, if we see an army guy when we are in trouble, we feel safe,” Gavesh says. “So my initial thoughts were: Okay, there’s nothing to be worried about.”

They hiked a kilometer across a sodden paddy field and emerged at the other side caked in mud. There a van was parked, and the driver took them to what he called, in broken English, “the office.” They arrived at the gate of a huge compound, surrounded by high walls topped with barbed wire. 

While some people are drawn into online scamming directly by friends and relatives, Facebook is, according to IJM’s Wasuwongse, the most common entry point for people recruited on social media. 

Meta has known for years that its platforms host this kind of content. Back in 2019, the BBC exposed “slave markets” that were running on Instagram; in 2021, the Wall Street Journal reported, drawing on documents leaked by a whistleblower, that Meta had long struggled to rein in the problem but took meaningful action only after Apple threatened to pull Instagram from its app store. 

Today, years on, ads like the one that Gavesh responded to are still easy to find on Facebook if you know what to look for.

Examples of fraudulent Facebook ads, shared by International Justice Mission.

They are typically posted in job seekers’ groups and usually seem to be advertising legitimate jobs in areas like customer service. They offer attractive wages, especially for people with language skills—usually English or Chinese. 

The traffickers tend to finish the recruitment process on encrypted or private messaging apps. In our research, many experts said that Telegram, which is notorious for hosting terrorist content, child sexual abuse material, and other communication related to criminal activity, was particularly problematic. Many spoke with a combination of anger and resignation about its apparent lack of interest in working with them to address the problem; Mina Chiang, founder of Humanity Research Consultancy, an anti-trafficking organization, accuses the app of being “very much complicit” in human trafficking and “proactively facilitating” these scams. (Telegram did not respond to a request for comment.)

But while Telegram users have the option of encrypting their messages end to end, making them almost impossible to monitor, social media companies are of course able to access users’ posts. And it’s here, at the beginning of the romance scam supply chain, where Big Tech could arguably make its most consequential intervention. 

Social media is monitored by a combination of human moderators and AI systems, which help flag users and content—ads, posts, pages—that break the law or violate the companies’ own policies. Dangerous content is easiest to police when it follows predictable patterns or is posted by users acting in distinctive and suspicious ways.

“They have financial resources. You can hire the most talented coding engineers in the world. Why can’t you just find people who understand the issue properly?”

Anti-trafficking experts say the scam advertising tends to follow formulaic templates and use common language, and that they routinely report the ads to Meta and point out the markers they have identified. Their hope is that this information will be fed into the data sets that train the content moderation models. 

While individual ads may be taken down, even in big waves—last November, Meta said it had purged 2 million accounts connected to scamming syndicates over the previous year—experts say that Facebook still continues to be used in recruiting. And new ads keep appearing. 

(In response to a request for comment, a Meta spokesperson shared links to policies about bans on content or advertisements that facilitate human trafficking, as well as company blog posts telling users how to protect themselves from romance scams and sharing details about the company’s efforts to disrupt fraud on its platforms, one stating that it is “constantly rolling out new product features to help protect people on [its] apps from known scam tactics at scale.” The spokesperson also said that WhatsApp has spam detection technology, and millions of accounts are banned per month.)

Anti-trafficking experts we spoke with say that as recently as last fall, Meta was engaging with them and had told them it was ramping up its capabilities. But Chiang says there still isn’t enough urgency from tech companies. “There’s a question about speed. They might be able to say That’s the goal for the next two years. No. But that’s not fast enough. We need it now,” she says. “They have financial resources. You can hire the most talented coding engineers in the world. Why can’t you just find people who understand the issue properly?”

Part of the answer comes down to money, according to experts we spoke with. Scaling up content moderation and other processes that could cause users to be kicked off a platform requires not only technological staff but also legal and policy experts—which not everyone sees as worth the cost. 

“The vast majority of these companies are doing the minimum or less,” says Tower of USIP. “If not properly incentivized, either through regulatory action or through exposure by media or other forms of pressure … often, these companies will underinvest in keeping their platforms safe.”


Getting set up

Gavesh’s new “office” turned out to be one of the most infamous scamming hubs in Southeast Asia: KK Park in Myanmar’s Myawaddy region. Satellite imagery shows it as a densely packed cluster of buildings, surrounded by fields. Most of it has been built since late 2019. 

Inside, it runs like a hybrid of a company campus and a prison. 

When Gavesh arrived, he handed over his phone and passport and was assigned to a dormitory and an employer. He was allowed his own phone back only for short periods, and his calls were monitored. Security was tight. He had to pass through airport-style metal detectors when he went in or out of the office. Black-uniformed personnel patrolled the buildings, while armed men in combat fatigues watched the perimeter fences from guard posts. 

On his first full day, he was put in front of a computer with just four documents on it, which he had to read over and over—guides on how to approach strangers. On his second day, he learned to build fake profiles on social media and dating apps. The trick was to find real people on Instagram or Facebook who were physically attractive, posted often, and appeared to be wealthy and living “a luxurious life,” he says, and use their photos to build a new account: “There are so many Instagram models that pretend they have a lot of money.”

After Gavesh was trafficked into Myanmar, he was taken to KK Park. Most of the compound has been built since late 2019.
LUKE DUGGLEBY/REDUX

Next, he was given a batch of iPhone 8s—most people on his team used between eight and 10 devices each—loaded with local SIM cards and apps that spoofed their location so that they appeared to be in the US. Using male and female aliases, he set up dozens of accounts on Facebook, WhatsApp, Telegram, Instagram, and X and profiles on several dating platforms, though he can’t remember exactly which ones. 

Different scamming operations teach different techniques for finding and reaching out to potential victims, several people who worked in the compounds tell us. Some people used direct approaches on dating apps, Facebook, Instagram, or—for those targeting Chinese victims—WeChat. One worker from Myanmar sent out mass messages on WhatsApp, pretending to have accidentally messaged a wrong number, in the hope of striking up a conversation. (Tencent, which owns WeChat, declined to comment.)

Some scamming workers we spoke to were told to target white, middle-aged or older men in Western countries who seemed to be well off. Gavesh says he would pretend to be white men and women, using information found from Google to add verisimilitude to his claims of living in, say, Miami Beach. He would chat with the targets, trying to figure out from their jobs, spending habits, and ambitions whether they’d be worth investing time in.

One South African woman, trafficked to Myanmar in 2022, says she was given a script and told to pose as an Asian woman living in Chicago. She was instructed to study her assigned city and learn quotidian details about life there. “They kept on punishing people all the time for not knowing or for forgetting that they’re staying in Chicago,” she says, “or for forgetting what’s Starbucks or what’s [a] latte.” 

Fake users have, of course, been a problem on social media platforms and dating sites for years. Some platforms, such as X, allow practically anyone to create accounts and even to have them verified for a fee. Others, including Facebook, have periodically conducted sweeps to get rid of fake accounts engaged in what Meta calls “coordinated inauthentic behavior.” (X did not respond to requests for comment.)

But scam workers tell us they were advised on simple ways to circumvent detection mechanisms on social media. They were given basic training in how to avoid suspicious behavior such as adding too many contacts too quickly, which might trigger the company to review whether someone’s profile is authentic. The South African woman says she was shown how to manipulate the dates on a Facebook account “to seem as if you opened the account in 2019 or whatever,” making it easier to add friends. (Meta’s spam filters—meant to reduce the spread of unwanted content—include limits on friend requests and bulk messaging.)

Wang set up a Tinder profile with a picture of a dog and a bio that read, “I am a dog.” It passed through the platform’s verification system without a hitch.

Dating apps, whose users generally hope to meet other users in real life, have a particular need to make sure that people are who they say they are. But Match Group, the parent company of Tinder, ended its partnership with a company doing background checks in 2023. It now encourages users to verify their profile with a selfie and further ID checks, though insiders say these systems are often rudimentary. “They just check a box and [do] what is legally required or what will make the media get off of [their] case,” says one tech executive who has worked with multiple dating apps on safety systems, speaking on the condition of anonymity because they were not permitted to speak about their work with certain companies. 

Fangzhou Wang, an assistant professor at the University of Texas at Arlington who studies romance scams, ran a test: She set up a Tinder profile with a picture of a dog and a bio that read, “I am a dog.” It passed through the platform’s verification system without a hitch. “They are not providing enough security measures to filter out fraudulent profiles,” Wang says. “Everybody can create anything.”

Like recruitment ads, the scam profiles tend to follow patterns that should raise red flags. They use photos copied from existing users or made by artificial intelligence, and the accounts are sometimes set up using phone numbers generated by voice-over-internet-protocol services. Then there’s the scammers’ behavior: They swipe too fast, or spend too much time logged in. “A normal human doesn’t spend … eight hours on a dating app a day,” the tech executive says. 

What’s more, scammers use the same language over and over again as they reach out to potential targets. “The majority of them are using predesigned scripts,” says Wang. 

It would be fairly easy for platforms to detect these signs and either stop accounts from being created or make the users go through further checks, experts tell us. Signals of some of these behaviors “can potentially be embedded into a type of machine-learning algorithm,” Wang says. She approached Tinder a few years ago with her research into the language that scammers use on the platforms, and offered to help build data sets for its moderation models. She says the company didn’t reply. 

(In a statement, Yoel Roth, vice president of trust and safety at Match Group, said that the company invests in “proactive tools, advanced detection systems and user education to help prevent harm.” He wrote, “We use proprietary AI-powered tools to help identify scammer messaging, and unlike many platforms, we moderate messages, which allows us to detect suspicious patterns early and act quickly,” adding that the company has recently worked with Reality Defender, a provider of deepfake detection tools, to strengthen its ability to detect AI-generated content. A company spokesperson reported having no record of Wang’s outreach but said that the company “welcome[s] collaboration and [is] always open to reviewing research that can help strengthen user safety.”)

A recent investigation published in The Markup found that Match Group has long possessed the tools and resources to track sex offenders and other bad actors but has resisted efforts to roll out safety protocols for fear they might slow growth. 

This tension, between the desire to keep increasing the number of users and the need to ensure that these users and their online activity are authentic, is often behind safety issues on platforms. While no platform wants to be a haven for fraudsters, identity verification creates friction for users, which stops real people as well as impostors from signing up. And again, cracking down on platform violations costs money.

According to Josh Kim, an economist who works in Big Tech, it would be costly for tech companies to build out the legal, policy, and operational teams for content moderation tools that could get users kicked off a platform—and the expense is one companies may find hard to justify in the current business climate. “The shift toward profitability means that you have to be very selective in … where you invest the resources that you have,” he says.

“My intuition here is that unless there are fines or pressure from governments or regulatory agencies or the public themselves,” he adds, “the current atmosphere in the tech ecosystem is to focus on building a product that is profitable and grows fast, and things that don’t contribute to those two points are probably being deprioritized.”


Getting online—and staying in line

At work, Gavesh wore a blue tag, marking him as belonging to the lowest rank of workers. “On top of us are the ones who are wearing the yellow tags—they call themselves HR or translators, or office guys,” he says. “Red tags are team leaders, managers … And then moving from that, they have black and ash tags. Those are the ones running the office.” Most of the latter were Chinese, Gavesh says, as were the really “big bosses,” who didn’t wear tags at all.

Within this hierarchy operated a system of incentives and punishments. Workers who followed orders and proved successful at scamming could rise through the ranks to training or supervisory positions, and gain access to perks like restaurants and nightclubs. Those who failed to meet the targets or broke the rules faced violence and humiliation. 

Gavesh says he was once beaten because he broke an unwritten rule that it was forbidden to cross your legs at work. Yawning was banned, and bathroom breaks were limited to two minutes at a time. 

rows of workers lit by their screens

KATHERINE LAM

Beatings were usually conducted in the open, though the most severe punishments at Gavesh’s company happened in a room called the “water jail.” One day a coworker was there alongside the others, “and the next day he was not,” Gavesh recalls. When the colleague was brought back to the office, he had been so badly beaten he couldn’t walk or speak. “They took him to the front, and they said: ‘If you do not listen to us, this is what will happen to you.’”

Gavesh was desperate to leave but felt there was no chance of escaping. The armed guards seemed ready to shoot, and there were rumors in the compound that some people who jumped the fence had been found drowned in the river. 

This kind of physical and psychological abuse is routine across the industry. Gavesh and others we spoke to describe working 12 hours or more a day, without days off. They faced strict quotas for the number of scam targets they had to have on the hook. If they failed to reach them, they were punished. The UN has documented cases of torture, arbitrary detention, and sexual violence in the compounds. We heard accounts of people made to perform calisthenics and being thrashed on the backside in front of other workers. 

Even if someone could escape, there is often no authority to appeal to on the outside. KK Park and other scam factories in Myanmar are situated in a geopolitical gray zone—borderlands where criminal enterprises have based themselves for decades, trading in narcotics and other unlawful industries. Armed groups, some of them operating under the command of the military, are credibly believed to profit directly from the trade in people and contraband in these areas, in some cases facing international sanctions as a result. Illicit industries in Myanmar have only expanded since a military coup in 2021. By August 2023, according to UN estimates, more than 120,000 people were being held in the country for the purposes of forced scamming, making it the largest hub for the frauds in Southeast Asia. 

Workers who followed orders and proved successful at scamming could rise through the ranks and gain access to perks like restaurants and nightclubs. Those who failed to meet the targets or broke the rules faced violence and humiliation. 

In at least some attempt to get a handle on this lawlessness, Thailand tried to cut off internet services for some compounds across its western border starting last May. Syndicates adapted by running fiber-optic cables across the river. When some of those were discovered, they were severed by Thai authorities. Thailand again ramped up its crackdowns on the industry earlier this year, with tactics that included cutting off internet, gas, and electricity to known scamming enclaves, following the trafficking of a Chinese celebrity through Thailand into Myanmar. 

Still, the scammers keep adapting—again, using Western technology. “We’ve started to see and hear of Starlink systems being used by these compounds,” says Eric Heintz, a global analyst at IJM.

While the military junta has criminalized the use of unauthorized satellite internet service, intercepted shipments and raids on scamming centers over the past year indicate that syndicates smuggle in equipment. The crackdowns seem to have had a limited impact—a Wired investigation published in February found that scamming networks appeared to be “widely using” Starlink in Myanmar. The journalist, using mobile-phone connection data collected by an online advertising industry tool, identified eight known scam compounds on the Myanmar-Thailand border where hundreds of phones had used Starlink more than 40,000 times since November 2024. He also identified photos that appeared to show dozens of Starlink satellite dishes on a scamming compound rooftop.

Starlink could provide another prime opportunity for systematic efforts to interrupt the scams, particularly since it requires a subscription and is able to geofence its services. “I could give you coordinates of where some of these [scamming operations] are, like IP addresses that are connecting to them,” Heintz says. “That should make a huge paper trail.” 

Starlink’s parent company, SpaceX, has previously limited access in areas of Ukraine under Russian occupation, after all. Its policies also state that SpaceX may terminate Starlink services to users who participate in “fraudulent” activities. (SpaceX did not respond to a request for comment.)

Knowing the locations of scam compounds could also allow Apple to step in: Workers rely on iPhones to make contact with victims, and these have to be associated with an Apple ID, even if the workers use apps to spoof their addresses. 

As Heintz puts it, “[If] you have an iCloud account with five phones, and you know that those phones’ GPS antenna locates those phones inside a known scam compound, then all of those phones should be bricked. The account should be locked.” 

(Apple did not provide a response to a request for comment.)

“This isn’t like the other trafficking cases that we’ve worked on, where we’re trying to find a boat in the middle of the ocean,” Heintz adds. “These are city-size compounds. We all know where they are, and we’ve watched them being built via satellite imagery. We should be able to do something location-based to take these accounts offline.”


Getting paid

Once Gavesh developed a relationship on social media or a dating site, he was supposed to move the conversation to WhatsApp. That platform is end-to-end encrypted, meaning even Meta can’t read the content of messages—although it should be possible for the company to spot a user’s unusual patterns of behavior, like opening large numbers of WhatsApp accounts or sending numerous messages in a short span of time.

“If you have an account that is suddenly adding people in large quantities all over the world, should you immediately flag it and freeze that account or require that that individual verify his or her information?” USIP’s Tower says.

After cultivating targets’ trust, scammers would inevitably shift the conversation to the subject of money. Having made themselves out to be living a life of luxury, they would offer a chance to share in the secrets of their wealth. Gavesh was taught to make the approach as if it were an extension of an existing intimacy. “I would not show this platform to anyone else,” he says he was supposed to say. “But since I feel like you are my life partner, I feel like you are my future.”

Lower-level workers like Gavesh were only expected to get scamming targets on the hook; then they’d pass off the relationship to a manager. From there, there is some variation in the approach, but the target is sometimes encouraged to set up an account with a mainstream crypto exchange and buy some tokens. Then the scammer sends the victim—or “customer,” as some workers say they called these targets—a link to a convincing, but fake, crypto investment platform.

After the target invests an initial amount of money, the scammer typically sends fake investment return charts that seem to show the value of that stake rising and rising. To demonstrate good faith, the scammer sends a few hundred dollars back to the victim’s crypto wallet, all the while working to convince the mark to keep investing. Then, once the customer is all in, the scammer goes in for the kill, using every means possible to take more money. “We [would] pull out bigger amounts from the customers and squeeze them out of their possessions,” one worker tells us.  

The design of cryptocurrency allows some degree of anonymity, but with enough time, persistence, and luck, it’s possible to figure out where tokens are flowing. It’s also possible, though even more difficult, to discover who owns the crypto wallets.

In early 2024, University of Texas researchers John M. Griffin and Kevin Mei published a paper that followed money from crypto wallets associated with scammers. They tracked hundreds of thousands of transactions, collectively worth billions of dollars—money that was transferred in and out of mainstream exchanges, including Binance, Coinbase, and Crypto.com. 

hands in the dark holding a phone with an image of a woman's torso
Scam workers spend time gaining the trust of their targets, often by deploying fraudulent personas and developing romantic relationships.
REUTERS/CARLOS BARRIA

Some scam syndicates would move crypto off these big exchanges, launder it through anonymous platforms known as mixers (which can be used to obscure crypto transactions), and then come back to the exchanges to cash out into fiat currency such as dollars.

Griffin and Mei were able to identify deposit addresses on Binance and smaller platforms, including Hong Kong–based Huobi and Seychelles-based OKX, that were collectively receiving billions of dollars from suspected scams. These addresses were being used over and over again to send and receive money, “suggesting limited monitoring by crypto exchanges,” the authors wrote.

(We were unable to reach OKX for comment; Coinbase and Huobi did not respond to requests for comment. A Binance spokesperson said that the company disputes the findings of the University of Texas study, alleging that they are “misleading at best and, at worst, wildly inaccurate.” The spokesperson also said that the company has extensive know-your-customer requirements, uses internal and third-party tools to spot illicit activity, freezes funds, and works with law enforcement to help reclaim stolen assets, claiming to have “proactively prevented $4.2 billion in potential losses for 2.8 million users from scams and frauds” and “recovered $88 million in stolen or misplaced funds” last year. A Crypto.com spokesperson said that the company is “committed to security, compliance and consumer protection” and that it uses “robust” transaction monitoring and fraud detection controls, “rigorously investigates accounts flagged for potential fraudulent activity or victimization,” and has internal blacklisting processes for wallet addresses known to be linked to scams.)

But while tracking illicit payments through the crypto ecosystem is possible, it’s “messy” and “complicated” to actually pin down who owns a scam wallet, according to Griffin Hotchkiss, a writer and use-case researcher at the Ethereum Foundation who has worked on crypto projects in Myanmar and who spoke in his personal capacity. Investigators have to build models that connect users to accounts by the flows of money going through them, which involves a degree of “guesswork” and “red string and sticky notes on the board trying to trace the flow of funds,” he says.

There are, however, certain actors within the crypto ecosystem who should have a good vantage point for observing how money moves through it. The most significant of these is Tether Holdings, a company formerly based in the British Virgin Islands (it has since relocated to El Salvador) that issues tether or USDT, a so-called stablecoin whose value is nominally pegged to the US dollar. Tether is widely used by crypto traders to park their money in dollar-denominated assets without having to convert cryptocurrencies into fiat currency. It is also widely used in criminal activity. 

“There was this one guy I was chatting with, [using] a girl’s profile. He was trying to make a living. He was working in a cafe. He had a daughter who was living with [her] mother. That story was really touching. And, like, you don’t want to get these people [involved].” 

There is more than $140 billion worth of USDT in circulation; in 2023, TRM Labs, a firm that traces crypto fraud, estimated that $19.3 billion worth of tether transactions was associated with illicit activity. In January 2024, the UN’s Office on Drugs and Crime said that tether was a leading means of exchange for fraudsters and money launderers operating in Southeast Asia. In October, US federal investigators reportedly opened an investigation alleging possible sanctions violations and complicity in money laundering (though at the time, Tether Holdings’ CEO said there was “no indication” the company was under investigation).

Tech experts tell us that USDT is ever-present in the scam business, used to move money and as the main medium of exchange on anonymous marketplaces such as Cambodia-based Huione Guarantee, which has been accused of allowing romance scammers to launder the proceeds of their crimes. (Cambodia revoked the banking license of Huione Pay in March of this year. Huione, which did not respond to a request for comment, has previously denied engaging in criminal activity.)

While much of the crypto ecosystem is decentralized, USDT “does have a central authority” that could intervene, Hotchkiss says. Tether’s code has functions that allow the company to blacklist users, freeze accounts, and even destroy tokens, he adds. (Tether Holdings did not respond to requests for comment.)

In practice, Hotchkiss says, the company has frozen very few accounts—and, like other experts we spoke to, he thinks it’s unlikely to happen at scale. If it were to start acting like a regulator or a bank, the currency would lose a fundamental part of its appeal: its anonymity and independence from the mainstream of finance. The more you intervene, “the less trust people have in your coin,” he says. “The incentives are kind of misaligned.”


Getting out

Gavesh really wasn’t very good at scamming. The knowledge that the person on the other side of the conversation was working hard for money that he was trying to steal weighed heavily on him. “There was this one guy I was chatting with, [using] a girl’s profile,” he says. “He was trying to make a living. He was working in a cafe. He had a daughter who was living with [her] mother. That story was really touching. And, like, you don’t want to get these people [involved].” 

The nature of the work left him racked with guilt. “I believe in karma,” he says. “What goes around comes around.”

Twice during Gavesh’s incarceration, he was sold on from one “employer” to another, but he still struggled with scamming. In February 2023, he was put up for sale a third time, along with some other workers.

“We went to the boss and begged him not to sell [us] and to please let us go home,” Gavesh says. The boss eventually agreed but told them it would cost them. As well as forgoing their salaries, they had to pay a ransom—Gavesh’s was set at 72,000 Thai baht, more than $2,000. 

Gavesh managed to scrape the money together, and he and around a dozen others were driven to the river in a military vehicle. “We had to be very silent,” he says. They were told “not to make any sounds or anything—just to get on the boat.” They slipped back into Thailand the way they had come.

close up on a guard counting money with a small figure in wearing a blue tag standing behind waiting

KATHERINE LAM

To avoid checkpoints on the way to Bangkok, the smugglers took paths through the jungle and changed vehicles around 10 times.

The group barely had enough money to survive a couple of days in the city, so they stuck together, staying in a cheap hotel while figuring out what to do next. With the help of a compatriot, Gavesh got in touch with IJM, which offered to help him navigate the legal bureaucracy ahead.

The traffickers hadn’t given him back his passport, and he was in Thailand without authorization. It was April before he was finally able to board a flight home, where he faced yet more questioning from police and immigration officials. He told his family he had “a small visa issue” and that he had lost his passport in Bangkok. He has never told them about his ordeal. “It would be very hard for them to process,” he says.

Recent history shows it’s very unlikely Gavesh will get any justice. That’s part of the reason why disrupting scams’ technology supply chain is so important: It’s incredibly challenging to hold the people operating the syndicates accountable. They straddle borders and jurisdictions. They have trafficked people from more than 60 countries, according to research from USIP, and scam targets come from all over the world. Much of the stolen money is moved through crypto wallets based in secrecy jurisdictions. “This thing is really like an onion. You’ve got layer after layer after layer of it, and it’s just really difficult to see where jurisdiction starts and where jurisdiction ends,” Tower says.

Chinese authorities are often more willing to cooperate with the military junta and armed groups in Myanmar that Western governments will not deal with, and they have cracked down where they can on operations involving their nationals. Thailand has also stepped up its efforts to address the human trafficking crisis and shut down scamming operations across its border in recent months. But when it comes to regulating tech platforms, the reaction from governments has been slower. 

The few legislative efforts in the US, which are still in the earliest stages, focus on supporting law enforcement and financial institutions, not directly on ways to address the abuse of American tech platforms for scamming. And they probably won’t take that on anytime soon. Trump, who has been boosted and courted by several high-profile tech executives, has indicated that his administration opposes heavier online moderation. One executive order, signed in February, vows to impose tariffs on foreign governments if they introduce measures that could “inhibit the growth” of US companies—particularly those in tech—or compel them to moderate online content. 

The Trump White House also supports reducing regulation in the crypto industry; it has halted major investigations into crypto companies and just this month removed sanctions on the crypto mixer Tornado Cash. In what was widely seen as a nod to libertarian-leaning crypto-enthusiasts, Trump pardoned Ross Ulbricht, the founder of the dark web marketplace Silk Road and one of the earlier adopters of crypto for large-scale criminal activity. The administration’s embrace of crypto could indeed have implications for the scamming industry, notes Kim, the economist: “It makes it much easier for crypto services to proliferate and have wider-spread adoption, and that might make it easier for criminal enterprises to tap into that and exploit that for their own means.” 

What’s more, the new US administration has overseen the rollback of funding for myriad international aid programs, primarily programs run through the US Agency for International Development and including those working to help the people who’ve been trafficked into scam compounds. In late February, CNN reports, every one of the agency’s anti-trafficking projects was halted.

This all means it’s up to the tech companies themselves to act on their own initiative. And Big Tech has rarely acted without legislative threats or significant social or financial pressure. Companies won’t do anything if “it’s not mandatory, it’s not enforced by the government,” and most important, if companies don’t profit from it, says Wang, from the University of Texas. While a group of tech companies, including Meta, Match, and Coinbase, last year announced the formation of Tech Against Scams, a collaboration to share tips and best practices, experts tell us there are no concrete actions to point to yet. 

And at a time when more resources are desperately needed to address the growing problems on their platforms, social media companies like X, Meta, and others have laid off hundreds of people from their trust and safety departments in recent years, reducing their capacity to tackle even the most pressing issues. Since the reelection of Trump, Meta has signaled an even greater rollback of its moderation and fact checking, a decision that earned praise from the president. 

Still, companies may feel pressure given that a handful of entities and executives have in recent years been held legally responsible for criminal activity on their platforms. Changpeng Zhao, who founded Binance, the world’s largest cryptocurrency exchange, was sentenced to four months in jail last April after pleading guilty to breaking US money-laundering laws, and the company had to forfeit some $4 billion for offenses that included allowing users to bypass sanctions. Then last May, Alexey Pertsev, a Tornado Cash cofounder, was sentenced to more than five years in a Dutch prison for facilitating the laundering of money stolen by, among others, the Lazarus Group, North Korea’s infamous state-backed hacking team. And in August last year, French authorities arrested Pavel Durov, the CEO of Telegram, and charged him with complicity in drug trafficking and distribution of child sexual abuse material. 

“I think all social media [companies] should really be looking at the case of Telegram right now,” USIP’s Tower says. “At that CEO level, you’re starting to see states try to hold a company accountable for its role in enabling major transnational criminal activity on a global scale.”

Compounding all the challenges, however, is the integration of cheap and easy-to-use artificial intelligence into scamming operations. The trafficked individuals we spoke to, who had mostly left the compounds before the widespread adoption of generative AI, said that if targets suggested a video call they would deflect or, as a last resort, play prerecorded video clips. Only one described the use of AI by his company; he says he was paid to record himself saying various sentences in ways that reflected different emotions, for the purposes of feeding the audio into an AI model. Recently, reports have emerged of scammers who have used AI-powered “face swap” and voice-altering products so that they can impersonate their characters more convincingly. “Malicious actors can exploit these models, especially open-source models, to produce content at an unprecedented scale,” says Gabrielle Tran, senior analyst for technology and society at IST. “These models are purposefully being fine-tuned … to serve as convincing humans.”  

Experts we spoke with warn that if platforms don’t pick up the pace on enforcement now, they’re likely to fall even further behind. 

Every now and again, Gavesh still goes on Facebook to report pages he thinks are scams. He never hears back. 

But he is working again in the tourism industry and on the path to recovering from his ordeal. “I can’t say that I’m 100% out of the trauma, but I’m trying to survive because I have responsibilities,” he says. 

He chose to speak out because he doesn’t want anyone else to be tricked—into a scamming compound, or into giving up their life savings to a stranger. He’s seen behind the scenes into a brutal industry that exploits people’s real needs for work, connection, and human contact, and he wants to make sure no one else ends up where he did. 

“There’s a very scary world,” he says. “A world beyond what we have seen.”

Peter Guest is a journalist based in London. Emily Fishbein is a freelance journalist focusing on Myanmar.

Additional reporting by Nu Nu Lusan. 

How the Ukraine-Russia war is reshaping the tech sector in Eastern Europe

At first glance, the Mosphera scooter may look normal—just comically oversized. It’s like the monster truck of scooters, with a footplate seven inches off the ground that’s wide enough to stand on with your feet slightly apart—which you have to do to keep your balance, because when you flip the accelerator with a thumb, it takes off like a rocket. While the version I tried in a parking lot in Riga’s warehouse district had a limiter on the motor, the production version of the supersized electric scooter can hit 100 kilometers (62 miles) per hour on the flat. The all-terrain vehicle can also go 300 kilometers on a single charge and climb 45-degree inclines. 

Latvian startup Global Wolf Motors launched in 2020 with a hope that the Mosphera would fill a niche in micromobility. Like commuters who use scooters in urban environments, farmers and vintners could use the Mosphera to zip around their properties; miners and utility workers could use it for maintenance and security patrols; police and border guards could drive them on forest paths. And, they thought, maybe the military might want a few to traverse its bases or even the battlefield—though they knew that was something of a long shot.

When co-founders Henrijs Bukavs and Klavs Asmanis first went to talk to Latvia’s armed forces, they were indeed met with skepticism—a military scooter, officials implied, didn’t make much sense—and a wall of bureaucracy. They found that no matter how good your pitch or how glossy your promo video (and Global Wolf’s promo is glossy: a slick montage of scooters jumping, climbing, and speeding in formation through woodlands and deserts), getting into military supply chains meant navigating layer upon layer of officialdom.

Then Russia launched its full-scale invasion of Ukraine in February 2022, and everything changed. In the desperate early days of the war, Ukrainian combat units wanted any equipment they could get their hands on, and they were willing to try out ideas—like a military scooter—that might not have made the cut in peacetime. Asmanis knew a Latvian journalist heading to Ukraine; through the reporter’s contacts, the startup arranged to ship two Mospheras to the Ukrainian army. 

Within weeks, the scooters were at the front line—and even behind it, being used by Ukrainian special forces scouts on daring reconnaissance missions. It was an unexpected but momentous step for Global Wolf, and an early indicator of a new demand that’s sweeping across tech companies along Ukraine’s borders: for civilian products that can be adapted quickly for military use.

COURTESY OF GLOBAL WOLF

Global Wolf’s high-definition marketing materials turned out to be nowhere near as effective as a few minutes of grainy phone footage from the war. The company has since shipped out nine more scooters to the Ukrainian army, which has asked for another 68. Where Latvian officials once scoffed, the country’s prime minister went to see Mosphera’s factory in April 2024, and now dignitaries and defense officials from the country are regular visitors. 

It might have been hard a few years ago to imagine soldiers heading to battle on oversized toys made by a tech startup with no military heritage. But Ukraine’s resistance to Russia’s attacks has been a miracle of social resilience and innovation—and the way the country has mobilized is serving both a warning and an inspiration to its neighbors. They’ve watched as startups, major industrial players, and political leaders in Ukraine have worked en masse to turn civilian technology into weapons and civil defense systems. They’ve seen Ukrainian entrepreneurs help bootstrap a military-industrial complex that is retrofitting civilian drones into artillery spotters and bombers, while software engineers become cyberwarriors and AI companies shift to battlefield intelligence. Engineers work directly with friends and family on the front line, iterating their products with incredible speed.

Their successes—often at a fraction of the cost of conventional weapons systems—have in turn awakened European governments and militaries to the potential of startup-style innovation and startups to the potential dual uses of their products, meaning ones that have legitimate civilian applications but can be modified at scale to turn them into weapons. 

This heady mix of market demand and existential threat is pulling tech companies in Latvia and the other Baltic states into a significant pivot. Companies that can find military uses for their products are hardening them and discovering ways to get them in front of militaries that are increasingly willing to entertain the idea of working with startups. It’s a turn that may only become more urgent if the US under incoming President Donald Trump becomes less willing to underwrite the continent’s defense.

But while national governments, the European Union, and NATO are all throwing billions of dollars of public money into incubators and investment funds—followed closely by private-sector investors—some entrepreneurs and policy experts who have worked closely with Ukraine warn that Europe might have only partially learned the lessons from Ukraine’s resistance.

If Europe wants to be ready to meet the threat of attack, it needs to find new ways of working with the tech sector. That includes learning how Ukraine’s government and civil society adapted to turn civilian products into dual-use tools quickly and cut through bureaucracy to get innovative solutions to the front. Ukraine’s resilience shows that military technology isn’t just about what militaries buy but about how they buy it, and about how politics, civil society, and the tech sector can work together in a crisis. 

“[Ukraine], unfortunately, is the best defense technology experimentation ground in the world right now. If you are not in Ukraine, then you are not in the defense business.”

“I think that a lot of tech companies in Europe would do what is needed to do. They would put their knowledge and skills where they’re needed,” says Ieva Ilves, a veteran Latvian diplomat and technology policy expert. But many governments across the continent are still too slow, too bureaucratic, and too worried that they might appear to be wasting money, meaning, she says, that they are not necessarily “preparing the soil for if [a] crisis comes.”

“The question is,” she says, “on a political level, are we capable of learning from Ukraine?”

Waking up the neighbors

Many Latvians and others across the Baltic nations feel the threat of Russian aggression more viscerally than their neighbors in Western Europe. Like Ukraine, Latvia has a long border with Russia and Belarus, a large Russian-speaking minority, and a history of occupation. Also like Ukraine, it has been the target of more than a decade of so-called “hybrid war” tactics—cyberattacks, disinformation campaigns, and other attempts at destabilization—directed by Moscow. 

Since Russian tanks crossed into Ukraine two-plus years ago, Latvia has stepped up its preparations for a physical confrontation, investing more than €300 million ($316 million) in fortifications along the Russian border and reinstating a limited form of conscription to boost its reserve forces. Since the start of this year, the Latvian fire service has been inspecting underground structures around the country, looking for cellars, parking garages, and metro stations that could be turned into bomb shelters.

And much like Ukraine, Latvia doesn’t have a huge military-industrial complex that can churn out artillery shells or tanks en masse. 

What it and other smaller European countries can produce for themselves—and potentially sell to their allies—are small-scale weapons systems, software platforms, telecoms equipment, and specialized vehicles. The country is now making a significant investment in tools like Exonicus, a medical technology platform founded 11 years ago by Latvian sculptor Sandis Kondrats. Users of its augmented-reality battlefield-medicine training simulator put on a virtual reality headset that presents them with casualties, which they have to diagnose and figure out how to treat. The all-digital training saves money on mannequins, Kondrats says, and on critical field resources.

“If you use all the medical supplies on training, then you don’t have any medical supplies,” he says. Exonicus has recently broken into the military supply chain, striking deals with the Latvian, Estonian, US, and German militaries, and it has been training Ukrainian combat medics.

Medical technology company Exonicus has created an augmented-reality battlefield-medicine training simulator that presents users with casualties, which they have to diagnose and figure out how to treat.
GATIS ORLICKIS/BALTIC PICTURES

There’s also VR Cars, a company founded by two Latvian former rally drivers, that signed a contract in 2022 to develop off-road vehicles for the army’s special forces. And there is Entangle, a quantum encryption company that sells widgets that turn mobile phones into secure communications devices, and has recently received an innovation grant from the Latvian Ministry of Defense.

Unsurprisingly, a lot of the focus in Latvia has been on unmanned aerial vehicles (UAVs), or drones, which have become ubiquitous on both sides fighting in Ukraine, often outperforming weapons systems that cost an order of magnitude more. In the early days of the war, Ukraine found itself largely relying on machines bought from abroad, such as the Turkish-made Bayraktar strike aircraft and jury-rigged DJI quadcopters from China. It took a while, but within a year the country was able to produce home-grown systems.

As a result, a lot of the emphasis in defense programs across Europe is on UAVs that can be built in-country. “The biggest thing when you talk to [European ministries of defense] now is that they say, ‘We want a big amount of drones, but we also want our own domestic production,’” says Ivan Tolchinsky, CEO of Atlas Dynamics, a drone company headquartered in Riga. Atlas Dynamics builds drones for industrial uses and has now made hardened versions of its surveillance UAVs that can resist electronic warfare and operate in battlefield conditions.

Agris Kipurs founded AirDog in 2014 to make drones that could track a subject autonomously; they were designed for people doing outdoor sports who wanted to film themselves without needing to fiddle with a controller. He and his co-founders sold the company to a US home security company, Alarm.com, in 2020. “For a while, we did not know exactly what we would build next,” Kipurs says. “But then, with the full-scale invasion of Ukraine, it became rather obvious.”

His new company, Origin Robotics, has recently “come out of stealth mode,” he says, after two years of research and development. Origin has built on the team’s experience in consumer drones and its expertise in autonomous flight to begin to build what Kipurs calls “an airborne precision-guided weapon system”—a guided bomb that a soldier can carry in a backpack. 

The Latvian government has invested in encouraging startups like these, as well as small manufacturers, to develop military-capable UAVs by establishing a €600,000 prize fund for domestic drone startups and a €10 million budget to create a new drone program, working with local and international manufacturers. 

VR Cars was founded by two Latvian former rally drivers and has developed off-road vehicles for the army’s special forces.

Latvia is also the architect and co-leader, with the UK, of the Drone Coalition, a multicountry initiative that’s directing more than €500 million toward building a drone supply chain in the West. Under the initiative, militaries run competitions for drone makers, rewarding high performers with contracts and sending their products to Ukraine. Its grantees are often not allowed to publicize their contracts, for security reasons. “But the companies which are delivering products through that initiative are new to the market,” Kipurs says. “They are not the companies that were there five years ago.”

Even national telecommunications company LMT, which is partly government owned, is working on drones and other military-grade hardware, including sensor equipment and surveillance balloons. It’s developing a battlefield “internet of things” system—essentially, a system that can track in real time all the assets and personnel in a theater of war. “In Latvia, more or less, we are getting ready for war,” says former naval officer Kaspars Pollaks, who heads an LMT division that focuses on defense innovation. “We are just taking the threat really seriously. Because we will be operationally alone [if Russia invades].”

The Latvian government’s investments are being mirrored across Europe: NATO has expanded its Defence Innovation Accelerator for the North Atlantic (DIANA) program, which runs startup incubators for dual-use technologies across the continent and the US, and launched a separate €1 billion startup fund in 2022. Adding to this, the European Investment Fund, a publicly owned investment company, launched a €175 million fund-of-funds this year to support defense technologies with dual-use potential. And the European Commission has earmarked more than €7 billion for defense research and development between now and 2027. 

Private investors are also circling, looking for opportunities to profit from the boom. Figures from the European consultancy Dealroom show that fundraising by dual-use and military-tech companies on the continent was just shy of $1 billion in 2023—up nearly a third over 2022, despite an overall slowdown in venture capital activity. 

Atlas Dynamics builds drones for industrial uses and now makes hardened versions that can resist electronic warfare and operate in battlefield conditions.
ATLAS AERO

When Atlas Dynamics started in 2015, funding was hard to come by, Tolchinsky says: “It’s always hard to make it as a hardware company, because VCs are more interested in software. And if you start talking about the defense market, people say, ‘Okay, it’s a long play for 10 or 20 years, it’s not interesting.’” That’s changed since 2022. “Now, what we see because of this war is more and more venture capital that wants to invest in defense companies,” Tolchinsky says.

But while money is helping startups get off the ground, to really prove the value of their products they need to get their tools in the hands of people who are going to use them. When I asked Kipurs if his products are currently being used in Ukraine, he only said: “I’m not allowed to answer that question directly. But our systems are with end users.”

Battle tested

Ukraine has moved on from the early days of the conflict, when it was willing to take almost anything that could be thrown at the invaders. But that experience has been critical in pushing the government to streamline its procurement processes dramatically to allow its soldiers to try out new defense-tech innovations. 

a soldier's hands as he kneels on the ground to assemble a UAV

Origin Robotics has built on a history of producing consumer drones to create a guided bomb that a soldier can carry in a backpack. 

This system has, at times, been chaotic and fraught with risk. Fake crowdfunding campaigns have been set up to scam donors and steal money. Hackers have used open-source drone manuals and fake procurement contracts in phishing attacks in Ukraine. Some products have simply not worked as well at the front as their designers hoped, with reports of US-made drones falling victim to Russian jamming—or even failing to take off at all. 

Technology that doesn’t work at the front puts soldiers at risk, so in many cases they have taken matters into their own hands. Two Ukrainian drone makers tell me that military procurement in the country has been effectively flipped on its head: If you want to sell your gear to the armed forces, you don’t go to the general staff—you go directly to the soldiers and put it in their hands. Once soldiers start asking their senior officers for your tool, you can go back to the bureaucrats and make a deal.

Many foreign companies have simply donated their products to Ukraine—partly out of a desire to help, and partly because they’ve identified a (potentially profitable) opportunity to expose them to the shortened innovation cycles of conflict and to get live feedback from those fighting. This can be surprisingly easy as some volunteer units handle their own parallel supply chains through crowdfunding and donations, and they are eager to try out new tools if someone is willing to give them freely. One logistics specialist supplying a front line unit, speaking anonymously as he’s not authorized to talk to the media, tells me that this spring, they turned to donated gear from startups in Europe and the US to fill gaps left by delayed US military aid, including untested prototypes of UAVs and communications equipment. 

All of this has allowed many companies to bypass the traditionally slow process of testing and demonstrating their products, for better and worse.

Tech companies’ rush into the conflict zone has unnerved some observers, who are worried that by going to war, companies have sidestepped ethical and safety concerns over their tools. Clearview AI gave Ukraine access to its controversial facial recognition tools to help identify Russia’s war dead, for example, sparking moral and practical questions over accuracy, privacy, and human rights—publishing images of those killed in war is arguably a violation of the Geneva Convention. Some high-profile tech executives, including Palantir CEO Alex Karp and former Google CEO-turned-military-tech-investor Eric Schmidt, have used the conflict to try to shift the global norms for using artificial intelligence in war, building systems that let machines select targets for attacks—which some experts worry is a gateway into autonomous “killer robots.”

LMT’s Pollaks says he has visited Ukraine often since the war began. Though he declines to give more details, he euphemistically describes Ukraine’s wartime bureaucracy as “nonstandardized.” If you want to blow something up in front of an audience in the EU, he says, you have to go through a whole lot of approvals, and the paperwork can take months, even years. In Ukraine, plenty of people are willing to try out your tools.

“[Ukraine], unfortunately, is the best defense technology experimentation ground in the world right now,” Pollaks says. “If you are not in Ukraine, then you are not in the defense business.”

Jack Wang, principal at UK-based venture capital fund Project A, which invests in military-tech startups, agrees that the Ukraine “track” can be incredibly fruitful. “If you sell to Ukraine, you get faster product and tech iteration, and live field testing,” he says. “The dollars might vary. Sometimes zero, sometimes quite a bit. But you get your product in the field faster.” 

The feedback that comes from the front is invaluable. Atlas Dynamics has opened an office in Ukraine, and its representatives there work with soldiers and special forces to refine and modify their products. When Russian forces started jamming a wide band of radio frequencies to disrupt communication with the drones, Atlas designed a smart frequency-hopping system, which scans for unjammed frequencies and switches control of the drone over to them, putting soldiers a step ahead of the enemy.

At Global Wolf, battlefield testing for the Mosphera has led to small but significant iterations of the product, which have come naturally as soldiers use it. One scooter-related problem on the front turned out to be resupplying soldiers in entrenched positions with ammunition. Just as urban scooters have become last-mile delivery solutions in cities, troops found that the Mosphera was well suited to shuttling small quantities of ammo at high speeds across rough ground or through forests. To make this job easier, Global Wolf tweaked the design of the vehicle’s optional extra trailer so that it perfectly fits eight NATO standard-sized bullet boxes.

Within weeks of Russia’s full-scale invasion, Mosphera scooters were at Ukraine’s front line—and even behind it, being used by Ukrainian special forces scouts.
GLOBAL WOLF

Some snipers prefer the electric Mosphera to noisy motorbikes or quads, using the vehicles to weave between trees to get into position. But they also like to shoot from the saddle—something they couldn’t do from the scooter’s footplate. So Global Wolf designed a stable seat that lets shooters fire without having to dismount. Some units wanted infrared lights, and the company has made those, too. These types of requests give the team ideas for new upgrades: “It’s like buying a car,” Asmanis says. “You can have it with air conditioning, without air conditioning, with heated seats.”

Being battle-tested is already proving to be a powerful marketing tool. Bukavs told me he thinks defense ministers are getting closer to moving from promises toward “action.” The Latvian police have bought a handful of Mospheras, and the country’s military has acquired some, too, for special forces units. (“We don’t have any information on how they’re using them,” Asmanis says. “It’s better we don’t ask,” Bukavs interjects.) Military distributors from several other countries have also approached them to market their units locally. 

Although they say their donations were motivated first and foremost by a desire to help Ukraine resist the Russian invasion, Bukavs and Asmanis admit that they have been paid back for their philanthropy many times over. 

Of course, all this could change soon, and the Ukraine “track” could very well be disrupted when Trump returns to office in January. The US has provided more than $64 billion worth of military aid to Ukraine since the start of the full-scale invasion. A significant amount of that has been spent in Europe, in what Wang calls a kind of “drop-shipping”—Ukraine asks for drones, for instance, and the US buys them from a company in Europe, which ships them directly to the war effort. 

Wang showed me a recent pitch deck from one European military-tech startup. In assessing the potential budgets available for its products, it compares the Ukrainian budget, which was in the tens of millions of dollars, and the “donated from everybody else” budget, which was a billion dollars. A large amount of that “everybody else” money comes from the US.

If, as many analysts expect, the Trump administration dramatically reduces or entirely stops US military aid to Ukraine, these young companies focused on military tech and dual-use tech will likely take a hit. “Ideally, the European side will step up their spending on European companies, but there will be a short-term gap,” Wang says.

A lasting change? 

Russia’s full-scale invasion exposed how significantly the military-industrial complex in Europe has withered since the Cold War. Across the continent, governments have cut back investments in hardware like ships, tanks, and shells, partly because of a belief that wars would be fought on smaller scales, and partly to trim their national budgets. 

“After decades of Europe reducing its combat capability,” Pollaks says, “now we are in the situation we are in. [It] will be a real challenge to ramp it up. And the way to do that, at least from our point of view, is real close integration between industry and the armed forces.”

This would hardly be controversial in the US, where the military and the defense industry often work closely together to develop new systems. But in Europe, this kind of collaboration would be “a bit wild,” Pollaks says. Militaries tend to be more closed off, working mainly with large defense contractors, and European investors have tended to be more squeamish about backing companies whose products could end up going to war.

As a result, despite the many positive signs for the developers of military tech, progress in overhauling the broader supply chain has been slower than many people in the sector would like.

Several founders of dual-use and military-tech companies in Latvia and the other Baltic states tell me they are often invited to events where they pitch to enthusiastic audiences of policymakers, but they never see any major orders afterward. “I don’t think any amount of VC blogging or podcasting will change how the military actually procures technology,” says Project A’s Wang. Despite what’s happening next door, Ukraine’s neighbors are still ultimately operating in peacetime. Government budgets remain tight, and even if the bureaucracy has become more flexible, layers upon layers of red tape remain.  

soldier in full camoflage firing a gun in a wooded area with smoke and several other soldiers out of focus behind him
Soldiers of the Latvian National Defense Service learn field combat skills in a training exercise.
GATIS INDRēVICS/ LATVIAN MINISTRY OF DEFENSE

Even Global Wolf’s Bukavs laments that a caravan of political figures has visited their factory but has not rewarded the company with big contracts. Despite Ukraine’s requests for the Mosphera scooters, for instance, they ultimately weren’t included in Latvia’s 2024 package of military aid due to budgetary constraints. 

What this suggests is that European governments have learned a partial lesson from Ukraine—that startups can give you an edge in conflict. But experts worry that the continent’s politics means it may still struggle to innovate at speed. Many Western European countries have built up substantial bureaucracies to protect their democracies from corruption or external influences. Authoritarian states aren’t so hamstrung, and they, too, have been watching the war in Ukraine closely. Russian forces are reportedly testing Chinese and Iranian drones at the front line. Even North Korea has its own drone program. 

The solution isn’t necessarily to throw out the mechanisms for accountability that are part of democratic society. But the systems that have been built up for good governance have led to fragility, sometimes leading governments to worry more about the politics of procurement than preparing for crises, according to Ilves and other policy experts I spoke to. 

“Procurement problems grow bigger and bigger when democratic societies lose trust in leadership,” says Ilves, who now advises Ukraine’s Ministry of Digital Transformation on cybersecurity policy and international cooperation. “If a Twitter [troll] starts to go after a defense procurement budget, he can start to shape policy.”

That makes it hard to give financial support to a tech company whose products you don’t need now, for example, but whose capabilities might be useful to have in an emergency—a kind of merchant marine for technology, on constant reserve in case it’s needed. “We can’t push European tech to keep innovating imaginative crisis solutions,” Ilves says. “Business is business. It works for money, not for ideas.” 

Even in Riga the war can feel remote, despite the Ukrainian flags flying from windows and above government buildings. Conversations about ordnance delivery and electronic warfare held in airy warehouse conversions can feel academic, even faintly absurd. In one incubator hub I visited in April, a company building a heavy-duty tracked ATV worked next door to an accounting software startup. On the top floor, bean bag chairs were laid out and a karaoke machine had been set up for a party that evening. 

A sense of crisis is needed to jolt politicians, companies, and societies into understanding that the front line can come to them, Ilves says: “That’s my take on why I think the Baltics are ahead. Unfortunately not because we are so smart, but because we have this sense of necessity.” 

Nevertheless, she says her experience over the past few years suggests there’s cause for hope if, or when, danger breaks through a country’s borders. Before the full-scale invasion, Ukraine’s government wasn’t exactly popular among the domestic business and tech communities. “And yet, they came together and put their brains and resources behind [the war effort],” she says. “I have a feeling that our societies are sometimes better than we think.” 

Peter Guest is a journalist based in London. 

This grim but revolutionary DNA technology is changing how we respond to mass disasters

Seven days

No matter who he called—his mother, his father, his brother, his cousins—the phone would just go to voicemail. Cell service was out around Maui as devastating wildfires swept through the Hawaiian island. But while Raven Imperial kept hoping for someone to answer, he couldn’t keep a terrifying thought from sneaking into his mind: What if his family members had perished in the blaze? What if all of them were gone?

Hours passed; then days. All Raven knew at that point was this: there had been a wildfire on August 8, 2023, in Lahaina, where his multigenerational, tight-knit family lived. But from where he was currently based in Northern California, Raven was in the dark. Had his family evacuated? Were they hurt? He watched from afar as horrifying video clips of Front Street burning circulated online.

Much of the area around Lahaina’s Pioneer Mill Smokestack was totally destroyed by wildfire.
ALAMY

The list of missing residents meanwhile climbed into the hundreds.

Raven remembers how frightened he felt: “I thought I had lost them.”

Raven had spent his youth in a four-bedroom, two-bathroom, cream-colored home on Kopili Street that had long housed not just his immediate family but also around 10 to 12 renters, since home prices were so high on Maui. When he and his brother, Raphael Jr., were kids, their dad put up a basketball hoop outside where they’d shoot hoops with neighbors. Raphael Jr.’s high school sweetheart, Christine Mariano, later moved in, and when the couple had a son in 2021, they raised him there too.

From the initial news reports and posts, it seemed as if the fire had destroyed the Imperials’ entire neighborhood near the Pioneer Mill Smokestack—a 225-foot-high structure left over from the days of Maui’s sugar plantations, which Raven’s grandfather had worked on as an immigrant from the Philippines in the mid-1900s.

Then, finally, on August 11, a call to Raven’s brother went through. He’d managed to get a cell signal while standing on the beach.

“Is everyone okay?” Raven asked.

“We’re just trying to find Dad,” Raphael Jr. told his brother.

Raven Imperial sitting in the grass
From his current home in Northern California, Raven Imperial spent days not knowing what had happened to his family in Maui.
WINNI WINTERMEYER

In the three days following the fire, the rest of the family members had slowly found their way back to each other. Raven would learn that most of his immediate family had been separated for 72 hours: Raphael Jr. had been marooned in Kaanapali, four miles north of Lahaina; Christine had been stuck in Wailuku, more than 20 miles away; both young parents had been separated from their son, who escaped with Christine’s parents. Raven’s mother, Evelyn, had also been in Kaanapali, though not where Raphael Jr. had been.

But no one was in contact with Rafael Sr. Evelyn had left their home around noon on the day of the fire and headed to work. That was the last time she had seen him. The last time they had spoken was when she called him just after 3 p.m. and asked: “Are you working?” He replied “No,” before the phone abruptly cut off.

“Everybody was found,” Raven says. “Except for my father.”

Within the week, Raven boarded a plane and flew back to Maui. He would keep looking for him, he told himself, for as long as it took.


That same week, Kim Gin was also on a plane to Maui. It would take half a day to get there from Alabama, where she had moved after retiring from the Sacramento County Coroner’s Office in California a year earlier. But Gin, now an independent consultant on death investigations, knew she had something to offer the response teams in Lahaina. Of all the forensic investigators in the country, she was one of the few who had experience in the immediate aftermath of a wildfire on the vast scale of Maui’s. She was also one of the rare investigators well versed in employing rapid DNA analysis—an emerging but increasingly vital scientific tool used to identify victims in unfolding mass-casualty events.

Gin started her career in Sacramento in 2001 and was working as the coroner 17 years later when Butte County, California, close to 90 miles north, erupted in flames. She had worked fire investigations before, but nothing like the Camp Fire, which burned more than 150,000 acres—an area larger than the city of Chicago. The tiny town of Paradise, the epicenter of the blaze, didn’t have the capacity to handle the rising death toll. Gin’s office had a refrigerated box truck and a 52-foot semitrailer, as well as a morgue that could handle a couple of hundred bodies.

Kim Gin
Kim Gin, the former Sacramento County coroner, had worked fire investigations in her career, but nothing prepared her for the 2018 Camp Fire.
BRYAN TARNOWSKI

“Even though I knew it was a fire, I expected more identifications by fingerprints or dental [records]. But that was just me being naïve,” she says. She quickly realized that putting names to the dead, many burned beyond recognition, would rely heavily on DNA.

“The problem then became how long it takes to do the traditional DNA [analysis],” Gin explains, speaking to a significant and long-standing challenge in the field—and the reason DNA identification has long been something of a last resort following large-scale disasters.

While more conventional identification methods—think fingerprints, dental information, or matching something like a knee replacement to medical records—can be a long, tedious process, they don’t take nearly as long as traditional DNA testing.

Historically, the process of making genetic identifications would often stretch on for months, even years. In fires and other situations that result in badly degraded bone or tissue, it can become even more challenging and time consuming to process DNA, which traditionally involves reading the 3 billion base pairs of the human genome and comparing samples found in the field against samples from a family member. Meanwhile, investigators frequently need equipment from the US Department of Justice or the county crime lab to test the samples, so backlogs often pile up.

A supply kit with swabs, gloves, and other items needed to take a DNA sample in the field.
A demo chip for ANDE’s rapid DNA box.

This creates a wait that can be horrendous for family members. Death certificates, federal assistance, insurance money—“all that hinges on that ID,” Gin says. Not to mention the emotional toll of not knowing if their loved ones are alive or dead.

But over the past several years, as fires and other climate-change-fueled disasters have become more common and more cataclysmic, the way their aftermath is processed and their victims identified has been transformed. The grim work following a disaster remains—surveying rubble and ash, distinguishing a piece of plastic from a tiny fragment of bone—but landing a positive identification can now take just a fraction of the time it once did, which may in turn bring families some semblance of peace more swiftly than ever before.

The key innovation driving this progress has been rapid DNA analysis, a methodology that focuses on just over two dozen regions of the genome. The 2018 Camp Fire was the first time the technology was used in a large, live disaster setting, and the first time it was used as the primary way to identify victims. The technology—deployed in small high-tech field devices developed by companies like industry leader ANDE, or in a lab with other rapid DNA techniques developed by Thermo Fisher—is increasingly being used by the US military on the battlefield, and by the FBI and local police departments after sexual assaults and in instances where confirming an ID is challenging, like cases of missing or murdered Indigenous people or migrants. Yet arguably the most effective way to use rapid DNA is in incidents of mass death. In the Camp Fire, 22 victims were identified using traditional methods, while rapid DNA analysis helped with 62 of the remaining 63 victims; it has also been used in recent years following hurricanes and floods, and in the war in Ukraine.

“These families are going to have to wait a long period of time to get identification. How do we make this go faster?”

Tiffany Roy, a forensic DNA expert with consulting company ForensicAid, says she’d be concerned about deploying the technology in a crime scene, where quality evidence is limited and can be quickly “exhausted” by well-meaning investigators who are “not trained DNA analysts.” But, on the whole, Roy and other experts see rapid DNA as a major net positive for the field. “It is definitely a game-changer,” adds Sarah Kerrigan, a professor of forensic science at Sam Houston State University and the director of its Institute for Forensic Research, Training, and Innovation.

But back in those early days after the Camp Fire, all Gin knew was that nearly 1,000 people had been listed as missing, and she was tasked with helping to identify the dead. “Oh my goodness,” she remembers thinking. “These families are going to have to wait a long period of time to get identification. How do we make this go faster?”


Ten days

One flier pleading for information about “Uncle Raffy,” as people in the community knew Rafael Sr., was posted on a brick-red stairwell outside Paradise Supermart, a Filipino store and restaurant in Kahului, 25 miles away from the destruction. In it, just below the words “MISSING Lahaina Victim,” the 63-year-old grandfather smiled with closed lips, wearing a blue Hawaiian shirt, his right hand curled in the shaka sign, thumb and pinky pointing out.

Raphael Imperial Sr
Raven remembers how hard his dad, Rafael, worked. His three jobs took him all over town and earned him the nickname “Mr. Aloha.”
COURTESY OF RAVEN IMPERIAL

“Everybody knew him from restaurant businesses,” Raven says. “He was all over Lahaina, very friendly to everybody.” Raven remembers how hard his dad worked, juggling three jobs: as a draft tech for Anheuser-Busch, setting up services and delivering beer all across town; as a security officer at Allied Universal security services; and as a parking booth attendant at the Sheraton Maui. He connected with so many people that coworkers, friends, and other locals gave him another nickname: “Mr. Aloha.”

Raven also remembers how his dad had always loved karaoke, where he would sing “My Way,” by Frank Sinatra. “That’s the only song that he would sing,” Raven says. “Like, on repeat.” 

Since their home had burned down, the Imperials ran their search out of a rental unit in Kihei, which was owned by a local woman one of them knew through her job. The woman had opened her rental to three families in all. It quickly grew crowded with side-by-side beds and piles of donations.

Each day, Evelyn waited for her husband to call.

She managed to catch up with one of their former tenants, who recalled asking Rafael Sr. to leave the house on the day of the fires. But she did not know if he actually did. Evelyn spoke to other neighbors who also remembered seeing Rafael Sr. that day; they told her that they had seen him go back into the house. But they too did not know what happened to him after.

A friend of Raven’s who got into the largely restricted burn zone told him he’d spotted Rafael Sr.’s Toyota Tacoma on the street, not far from their house. He sent a photo. The pickup was burned out, but a passenger-side door was open. The family wondered: Could he have escaped?

Evelyn called the Red Cross. She called the police. Nothing. They waited and hoped.


Back in Paradise in 2018, as Gin worried about the scores of waiting families, she learned there might in fact be a better way to get a positive ID—and a much quicker one. A company called ANDE Rapid DNA had already volunteered its services to the Butte County sheriff and promised that its technology could process DNA and get a match in less than two hours.

“I’ll try anything at this point,” Gin remembers telling the sheriff. “Let’s see this magic box and what it’s going to do.”

In truth, Gin did not think it would work, and certainly not in two hours. When the device arrived, it was “not something huge and fantastical,” she recalls thinking. A little bigger than a microwave, it looked “like an ordinary box that beeps, and you put stuff in, and out comes a result.”

The “stuff,” more specifically, was a cheek or bloodstain swab, or a piece of muscle, or a fragment of bone that had been crushed and demineralized. Instead of reading 3 billion base pairs in this sample, Selden’s machine examined just 27 genome regions characterized by particular repeating sequences. It would be nearly impossible for two unrelated people to have the same repeating sequence in those regions. But a parent and child, or siblings, would match, meaning you could compare DNA found in human remains with DNA samples taken from potential victims’ family members. Making it even more efficient for a coroner like Gin, the machine could run up to five tests at a time and could be operated by anyone with just a little basic training.

ANDE’s chief scientific officer, Richard Selden, a pediatrician who has a PhD in genetics from Harvard, didn’t come up with the idea to focus on a smaller, more manageable number of base pairs to speed up DNA analysis. But it did become something of an obsession for him after he watched the O.J. Simpson trial in the mid-1990s and began to grasp just how long it took for DNA samples to get processed in crime cases. By this point, the FBI had already set up a system for identifying DNA by looking at just 13 regions of the genome; it would later add seven more. Researchers in other countries had also identified other sets of regions to analyze. Drawing on these various methodologies, Selden homed in on the 27 specific areas of DNA he thought would be most effective to examine, and he launched ANDE in 2004.

But he had to build a device to do the analysis. Selden wanted it to be small, portable, and easily used by anyone in the field. In a conventional lab, he says, “from the moment you take that cheek swab to the moment that you have the answer, there are hundreds of laboratory steps.” Traditionally, a human is holding test tubes and iPads and sorting through or processing paperwork. Selden compares it all to using a “conventional typewriter.” He effectively created the more efficient laptop version of DNA analysis by figuring out how to speed up that same process.

No longer would a human have to “open up this bottle and put [the sample] in a pipette and figure out how much, then move it into a tube here.” It is all automated, and the process is confined to a single device.

gloved hands load a chip cartridge into the ANDE machine
The rapid DNA analysis boxes from ANDE can be used in the field by anyone with just a bit of training.
ANDE

Once a sample is placed in the box, the DNA binds to a filter in water and the rest of the sample is washed away. Air pressure propels the purified DNA to a reconstitution chamber and then flattens it into a sheet less than a millimeter thick, which is subjected to about 6,000 volts of electricity. It’s “kind of an obstacle course for the DNA,” he explains.

The machine then interprets the donor’s genome and and provides an allele table with a graph showing the peaks for each region and its size. This data is then compared with samples from potential relatives, and the machine reports when it has a match.

Rapid DNA analysis as a technology first received approval for use by the US military in 2014, and in the FBI two years later. Then the Rapid DNA Act of 2017 enabled all US law enforcement agencies to use the technology on site and in real time as an alternative to sending samples off to labs and waiting for results.

But by the time of the Camp Fire the following year, most coroners and local police officers still had no familiarity or experience with it. Neither did Gin. So she decided to put the “magic box” through a test: she gave Selden, who had arrived at the scene to help with the technology, a DNA sample from a victim whose identity she’d already confirmed via fingerprint. The box took about 90 minutes to come back with a result. And to Gin’s surprise, it was the same identification she had already made. Just to make sure, she ran several more samples through the box, also from victims she had already identified. Again, results were returned swiftly, and they confirmed hers.

“I was a believer,” she says.

The next year, Gin helped investigators use rapid DNA technology in the 2019 Conception disaster, when a dive boat caught fire off the Channel Islands in Santa Barbara. “We ID’d 34 victims in 10 days,” Gin says. “Completely done.” Gin now works independently to assist other investigators in mass-fatality events and helps them learn to use the ANDE system.

Its speed made the box a groundbreaking innovation. Death investigations, Gin learned long ago, are not as much about the dead as about giving peace of mind, justice, and closure to the living.


Fourteen days

Many of the people who were initially on the Lahaina missing persons list turned up in the days following the fire. Tearful reunions ensued.

Two weeks after the fire, the Imperials hoped they’d have the same outcome as they loaded into a truck to check out some exciting news: someone had reported seeing Rafael Sr. at a local church. He’d been eating and had burns on his hands and looked disoriented. The caller said the sighting had occurred three days after the fire. Could he still be in the vicinity?

When the family arrived, they couldn’t confirm the lead.

“We were getting a lot of calls,” Raven says. “There were a lot of rumors saying that they found him.”

None of them panned out. They kept looking.


The scenes following large-scale destructive events like the fires in Paradise and Lahaina can be sprawling and dangerous, with victims sometimes dispersed across a large swath of land if many people died trying to escape. Teams need to meticulously and tediously search mountains of mixed, melted, or burned debris just to find bits of human remains that might otherwise be mistaken for a piece of plastic or drywall. Compounding the challenge is the comingling of remains—from people who died huddled together, or in the same location, or alongside pets or other animals.

This is when the work of forensic anthropologists is essential: they have the skills to differentiate between human and animal bones and to find the critical samples that are needed by DNA specialists, fire and arson investigators, forensic pathologists and dentists, and other experts. Rapid DNA analysis “works best in tandem with forensic anthropologists, particularly in wildfires,” Gin explains.

“The first step is determining, is it a bone?” says Robert Mann, a forensic anthropologist at the University of Hawaii John A. Burns School of Medicine on Oahu. Then, is it a human bone? And if so, which one?

Rober Mann in a lab coat with a human skeleton on the table in front of him
Forensic anthropologist Robert Mann has spent his career identifying human remains.
AP PHOTO/LUCY PEMONI

Mann has served on teams that have helped identify the remains of victims after the terrorist attacks of September 11, 2001, and the 2004 Indian Ocean tsunami, among other mass-casualty events. He remembers how in one investigation he received an object believed to be a human bone; it turned out to be a plastic replica. In another case, he was looking through the wreckage of a car accident and spotted what appeared to be a human rib fragment. Upon closer examination, he identified it as a piece of rubber weather stripping from the rear window. “We examine every bone and tooth, no matter how small, fragmented, or burned it might be,” he says. “It’s a time-consuming but critical process because we can’t afford to make a mistake or overlook anything that might help us establish the identity of a person.”

For Mann, the Maui disaster felt particularly immediate. It was right near his home. He was deployed to Lahaina about a week after the fire, as one of more than a dozen forensic anthropologists on scene from universities in places including Oregon, California, and Hawaii.

While some anthropologists searched the recovery zone—looking through what was left of homes, cars, buildings, and streets, and preserving fragmented and burned bone, body parts, and teeth—Mann was stationed in the morgue, where samples were sent for processing.

It used to be much harder to find samples that scientists believed could provide DNA for analysis, but that’s also changed recently as researchers have learned more about what kind of DNA can survive disasters. Two kinds are used in forensic identity testing: nuclear DNA (found within the nuclei of eukaryotic cells) and mitochondrial DNA (found in the mitochondria, organelles located outside the nucleus). Both, it turns out, have survived plane crashes, wars, floods, volcanic eruptions, and fires.

Theories have also been evolving over the past few decades about how to preserve and recover DNA specifically after intense heat exposure. One 2018 study found that a majority of the samples actually survived high heat. Researchers are also learning more about how bone characteristics change depending on the degree. “Different temperatures and how long a body or bone has been exposed to high temperatures affect the likelihood that it will or will not yield usable DNA,” Mann says.

Typically, forensic anthropologists help select which bone or tooth to use for DNA testing, says Mann. Until recently, he explains, scientists believed “you cannot get usable DNA out of burned bone.” But thanks to these new developments, researchers are realizing that with some bone that has been charred, “they’re able to get usable, good DNA out of it,” Mann says. “And that’s new.” Indeed, Selden explains that “in a typical bad fire, what I would expect is 80% to 90% of the samples are going to have enough intact DNA” to get a result from rapid analysis. The rest, he says, may require deeper sequencing.

The aftermath of large-scale destructive events like the fire in Lahaina can be sprawling and dangerous. Teams need to meticulously search through mountains of mixed, melted, or burned debris to find bits of human remains.
GLENN FAWCETT VIA ALAMY

Anthropologists can often tell “simply by looking” if a sample will be good enough to help create an ID. If it’s been burned and blackened, “it might be a good candidate for DNA testing,” Mann says. But if it’s calcined (white and “china-like”), he says, the DNA has probably been destroyed.

On Maui, Mann adds, rapid DNA analysis made the entire process more efficient, with tests coming back in just two hours. “That means while you’re doing the examination of this individual right here on the table, you may be able to get results back on who this person is,” he says. From inside the lab, he watched the science unfold as the number of missing on Maui quickly began to go down.

Within three days, 42 people’s remains were recovered inside Maui homes or buildings and another 39 outside, along with 15 inside vehicles and one in the water. The first confirmed identification of a victim on the island occurred four days after the fire—this one via fingerprint. The ANDE rapid DNA team arrived two days after the fire and deployed four boxes to analyze multiple samples of DNA simultaneously. The first rapid DNA identification happened within that first week.


Sixteen days

More than two weeks after the fire, the list of missing and unaccounted-for individuals was dwindling, but it still had 388 people on it. Rafael Sr. was one of them.

Raven and Raphael Jr. raced to another location: Cupies café in Kahului, more than 20 miles from Lahaina. Someone had reported seeing him there.

Rafael’s family hung posters around the island, desperately hoping for reliable information. (Phone number redacted by MIT Technology Review.)
ERIKA HAYASAKI

The tip was another false lead.

As family and friends continued to search, they stopped by support hubs that had sprouted up around the island, receiving information about Red Cross and FEMA assistance or donation programs as volunteers distributed meals and clothes. These hubs also sometimes offered DNA testing.

Raven still had a “50-50” feeling that his dad might be out there somewhere. But he was beginning to lose some of that hope.


Gin was stationed at one of the support hubs, which offered food, shelter, clothes, and support. “You could also go in and give biological samples,” she says. “We actually moved one of the rapid DNA instruments into the family assistance center, and we were running the family samples there.” Eliminating the need to transport samples from a site to a testing center further cut down any lag time.

Selden had once believed that the biggest hurdle for his technology would be building the actual device, which took about eight years to design and another four years to perfect. But at least in Lahaina, it was something else: persuading distraught and traumatized family members to offer samples for the test.

Nationally, there are serious privacy concerns when it comes to rapid DNA technology. Organizations like the ACLU warn that as police departments and governments begin deploying it more often, there must be more oversight, monitoring, and training in place to ensure that it is always used responsibly, even if that adds some time and expense. But the space is still largely unregulated, and the ACLU fears it could give rise to rogue DNA databases “with far fewer quality, privacy, and security controls than federal databases.”

Family support centers popped up around Maui to offer clothing, food, and other assistance, and sometimes to take DNA samples to help find missing family members.

In a place like Hawaii, these fears are even more palpable. The islands have a long history of US colonialism, military dominance, and exploitation of the Native population and of the large immigrant working-class population employed in the tourism industry.

Native Hawaiians in particular have a fraught relationship with DNA testing. Under a US law signed in 1921, thousands have a right to live on 200,000 designated acres of land trust, almost for free. It was a kind of reparations measure put in place to assist Native Hawaiians whose land had been stolen. Back in 1893, a small group of American sugar plantation owners and descendants of Christian missionaries, backed by US Marines, held Hawaii’s Queen Lili‘uokalani in her palace at gunpoint and forced her to sign over 1.8 million acres to the US, which ultimately seized the islands in 1898.

Queen Liliuokalani in a formal seated portrait
Hawaii’s Queen Lili‘uokalani was forced to sign over 1.8 million acres to the US.
PUBLIC DOMAIN VIA WIKIMEDIA COMMONS

To lay their claim to the designated land and property, individuals first must prove via DNA tests how much Hawaiian blood they have. But many residents who have submitted their DNA and qualified for the land have died on waiting lists before ever receiving it. Today, Native Hawaiians are struggling to stay on the islands amid skyrocketing housing prices, while others have been forced to move away.

Meanwhile, after the fires, Filipino families faced particularly stark barriers to getting information about financial support, government assistance, housing, and DNA testing. Filipinos make up about 25% of Hawaii’s population and 40% of its workers in the tourism industry. They also make up 46% of undocumented residents in Hawaii—more than any other group. Some encountered language barriers, since they primarily spoke Tagalog or Ilocano. Some worried that people would try to take over their burned land and develop it for themselves. For many, being asked for DNA samples only added to the confusion and suspicion.

Selden says he hears the overall concerns about DNA testing: “If you ask people about DNA in general, they think of Brave New World and [fear] the information is going to be used to somehow harm or control people.” But just like regular DNA analysis, he explains, rapid DNA analysis “has no information on the person’s appearance, their ethnicity, their health, their behavior either in the past, present, or future.” He describes it as a more accurate fingerprint.

Gin tried to help the Lahaina family members understand that their DNA “isn’t going to go anywhere else.” She told them their sample would ultimately be destroyed, something programmed to occur inside ANDE’s machine. (Selden says the boxes were designed to do this for privacy purposes.) But sometimes, Gin realizes, these promises are not enough.

“You still have a large population of people that, in my experience, don’t want to give up their DNA to a government entity,” she says. “They just don’t.”

Kim Gin
Gin understands that family members are often nervous to give their DNA samples. She promises the process of rapid DNA analysis respects their privacy, but she knows sometimes promises aren’t enough.
BRYAN TARNOWSKI

The immediate aftermath of a disaster, when people are suffering from shock, PTSD, and displacement, is the worst possible moment to try to educate them about DNA tests and explain the technology and privacy policies. “A lot of them don’t have anything,” Gin says. “They’re just wondering where they’re going to lay their heads down, and how they’re going to get food and shelter and transportation.”

Unfortunately, Lahaina’s survivors won’t be the last people in this position. Particularly given the world’s current climate trajectory, the risk of deadly events in just about every neighborhood and community will rise. And figuring out who survived and who didn’t will be increasingly difficult. Mann recalls his work on the Indian Ocean tsunami, when over 227,000 people died. “The bodies would float off, and they ended up 100 miles away,” he says. Investigators were at times left with remains that had been consumed by sea creatures or degraded by water and weather. He remembers how they struggled to determine: “Who is the person?”

Mann has spent his own career identifying people including “missing soldiers, sailors, airmen, Marines, from all past wars,” as well as people who have died recently. That closure is meaningful for family members, some of them decades, or even lifetimes, removed.

In the end, distrust and conspiracy theories did in fact hinder DNA-identification efforts on Maui, according to a police department report.


33 days

By the time Raven went to a family resource center to submit a swab, some four weeks had gone by. He remembers the quick rub inside his cheek.

Some of his family had already offered their own samples before Raven provided his. For them, waiting wasn’t an issue of mistrusting the testing as much as experiencing confusion and chaos in the weeks after the fire. They believed Uncle Raffy was still alive, and they still held hope of finding him. Offering DNA was a final step in their search.

“I did it for my mom,” Raven says. She still wanted to believe he was alive, but Raven says: “I just had this feeling.” His father, he told himself, must be gone.

Just a day after he gave his sample—on September 11, more than a month after the fire—he was at the temporary house in Kihei when he got the call: “It was,” Raven says, “an automatic match.”

Raven gave a cheek swab about a month after the disappearance of his father. It didn’t take long for him to get a phone call: “It was an automatic match.”
WINNI WINTERMEYER

The investigators let the family know the address where the remains of Rafael Sr. had been found, several blocks away from their home. They put it into Google Maps and realized it was where some family friends lived. The mother and son of that family had been listed as missing too. Rafael Sr., it seemed, had been with or near them in the end.

By October, investigators in Lahaina had obtained and analyzed 215 DNA samples from family members of the missing. By December, DNA analysis had confirmed the identities of 63 of the most recent count of 101 victims. Seventeen more had been identified by fingerprint, 14 via dental records, and two through medical devices, along with three who died in the hospital. While some of the most damaged remains would still be undergoing DNA testing months after the fires, it’s a drastic improvement over the identification processes for 9/11 victims, for instance—today, over 20 years later, some are still being identified by DNA.

Raphael Imperial Sr
Raven remembers how much his father loved karaoke. His favorite song was “My Way,” by Frank Sinatra. 
COURTESY OF RAVEN IMPERIAL

Rafael Sr. was born on October 22, 1959, in Naga City, the Philippines. The family held his funeral on his birthday last year. His relatives flew in from Michigan, the Philippines, and California.

Raven says in those weeks of waiting—after all the false tips, the searches, the prayers, the glimmers of hope—deep down the family had already known he was gone. But for Evelyn, Raphael Jr., and the rest of their family, DNA tests were necessary—and, ultimately, a relief, Raven says. “They just needed that closure.”

Erika Hayasaki is an independent journalist based in Southern California.

How one mine could unlock billions in EV subsidies

A collection of brown pipes emerge at odd angles from the mud and overgrown grasses on a pine farm north of the tiny town of Tamarack, Minnesota.

Beneath these capped drill holes, Talon Metals has uncovered one of America’s densest nickel deposits—and now it wants to begin tunneling deep into the rock to extract hundreds of thousands of metric tons of mineral-rich ore a year.

If regulators approve the mine, it could mark the starting point in what this mining exploration company claims would become the country’s first complete domestic nickel supply chain, running from the bedrock beneath the Minnesota earth to the batteries in electric vehicles across the nation.


This is the second story in a two-part series exploring the hopes and fears surrounding a single mining proposal in a tiny Minnesota town. You can read the first part here.


The US government is poised to provide generous support at every step, distributing millions to billions of dollars in subsidies for those refining the metal, manufacturing the batteries, and buying the cars and trucks they power.

The products generated with the raw nickel that would flow from this one mining project could theoretically net more than $26 billion in subsidies, just through federal tax credits created by the Inflation Reduction Act (IRA). That’s according to an original analysis by Bentley Allan, an associate professor of political science at Johns Hopkins University and co-director of the Net Zero Industrial Policy Lab, produced in coordination with MIT Technology Review

One of the largest beneficiaries would be battery manufacturers that use Talon’s nickel, which could secure more than $8 billion in tax credits. About half of that could go to the EV giant Tesla, which has already agreed to purchase tens of thousands of metric tons of the metal from this mine. 

But the biggest winner, at least collectively, would be American consumers who buy EVs powered by those batteries. All told, they could enjoy nearly $18 billion in savings. 

While it’s been widely reported that the IRA could unleash at least hundreds of billions of federal dollars, MIT Technology Review wanted to provide a clearer sense of the law’s on-the-ground impact by zeroing in on a single project and examining how these rich subsidies could be unlocked at each point along the supply chain. (Read my related story on Talon’s proposal and the community reaction to it here.) 

We consulted with Allan to figure out just how much money is potentially in play, where it’s likely to go, and what it may mean for emerging industries and the broader economy. 

These calculations are all high-end estimates meant to assess the full potential of the act, and they assume that every company and customer qualifies for every tax credit available at each point along the supply chain. In the end, the government almost certainly won’t hand out the full amounts that Allan calculated, given the varied and complex restrictions in the IRA and other factors.

In addition, Talon itself may not obtain any subsidies directly through the law, according to recent but not-yet-final IRS interpretations. But thanks to rich EV incentives that will stimulate demand for domestic critical minerals, the company still stands to benefit indirectly from the IRA.


How $26 billion in tax credits could break down across a new US nickel supply chain


The sheer scale of the numbers offer a glimpse into how and why the IRA, signed into law in August 2022, has already begun to drive projects, reconfigure sourcing arrangements, and accelerate the shift away from fossil fuels.

Indeed, the policies have dramatically altered the math for corporations considering whether, where, and when to build new facilities and factories, helping to spur at least tens of billions of dollars’ worth of private investments into the nation’s critical-mineral-to-EV supply chain, according to several analyses.

“If you try to work out the math on these for five minutes, you start to be really shocked by what you see on paper,” Allan says, noting that the IRA’s incentives ensure that many more projects could be profitably and competitively developed in the US. “It’s going to transform the country in a serious way.”

An urgent game of catch-up

For decades, the US steadily offshored the messy business of mining and processing metals, leaving other nations to deal with the environmental damage and community conflicts that these industries often cause. But the country is increasingly eager to revitalize these sectors as climate change and simmering trade tensions with China raise the economic, environmental, and geopolitical stakes. 

Critical minerals like lithium, cobalt, nickel, and copper are the engine of the emerging clean-energy economy, essential for producing solar panels, wind turbines, batteries, and EVs. Yet China dominates production of the source materials, components, and finished goods for most of these products, following decades of strategic government investments and targeted trade policies. It refines 71% of the type of nickel used for batteries and produces more than 85% of the world’s battery cells, according to Benchmark Mineral Intelligence. 

The US is now in a high-stakes scramble to catch up and ensure its unfettered access to these materials, either by boosting domestic production or by locking in supply chains through friendly trading partners. The IRA is the nation’s biggest bet, by far, on bolstering these industries and countering China’s dominance over global cleantech supply chains. By some estimates, it could unlock more than $1 trillion in federal incentives.

“It should be sufficient to drive transformational progress in clean-energy adoption in the United States,” says Kimberly Clausing, a professor at the UCLA School of Law who previously served as deputy assistant secretary for tax analysis at the Treasury Department. “The best modeling seems to show it will reduce emissions substantially, getting us halfway to our Paris Agreement goals.”

Among other subsidies, the IRA provides tax credits that companies can earn for producing critical minerals, electrode materials, and batteries, enabling them to substantially cut their federal tax obligations. 

But the provisions that are really driving the rethinking of sourcing and supply chains are the so-called domestic content requirements contained in the tax credits for purchasing EVs. For consumers to earn the full credits, and for EV makers to benefit from the boost in demand they’ll generate, a significant share of the critical minerals the batteries contain must be produced in the US, sourced from free-trade partners, or recycled in North America, among other requirements. 

This makes the critical minerals coming out of a mine like Talon’s especially valuable to US car companies since it could help ensure that their EV models and customers qualify for these credits. 

Mining and refining

Nickel, like the deposits found in Minnesota, is of particular importance for cleaning up the auto sector. The metal boosts the amount of energy that can be packed into battery cathodes, extending the range of cars and making possible heavier electric vehicles, like trucks and even semis.

Global nickel demand could rise 112% by 2040, according to the International Energy Agency, owing primarily to an expected ninefold increase in demand for EV batteries. But there’s only one dedicated nickel mine operating in the US today, and most processing of the metal happens overseas. 

A former Talon worker pulls tubes of bedrock from drill pipe and places them into a box for further inspection.
ACKERMAN + GRUBER

In a preliminary economic analysis of the proposed mine released in 2021, Talon said it hoped to dig up nearly 11 million metric tons of ore over a nine-year period, including more than 140,000 tons of nickel. That’s enough to produce lithium-ion batteries that could power almost 2.4 million electric vehicles, Allan finds. 

After Talon mines the ore, the company plans to ship the material more than 400 miles west by rail to a planned processing site in central North Dakota that would produce what’s known as “nickel in concentrate,” which is generally around 10% pure. 

But that’s not enough to earn any subsidies under the current interpretation of the IRA’s tax credit for critical-mineral production. The law specifies that a company must convert nickel into a highly refined form known as “nickel sulphate” or process the metal to at least 99% purity by mass to be eligible for tax credits that cover 10% of the operating cost. Allan estimates that whichever company or companies carry out that step could earn subsidies that exceed $55 million. 

From there, the nickel would still need to be processed and mixed with other metals to produce the “cathode active materials” that go into a battery. Whatever companies carry out that step could secure some share of another $126.5 million in tax savings, thanks to a separate credit covering 10% of the costs of generating these materials, Allan notes.

Some share of the subsidies from these two tax credits might go to Tesla, which has stressed that it’s bringing more aspects of battery manufacturing in-house. For instance, it’s in the process of constructing its own lithium refinery and cathode plant in Texas. 

But it’s not yet clear what other companies could be involved in processing the nickel mined by Talon and, thus, who would benefit from these particular provisions.

Talon and other mining companies have campaigned to have the costs for mining raw materials included in the critical-mineral production tax credit, but the IRS recently stated in a proposed rule that this step won’t qualify.

Todd Malan, Talon’s chief external affairs officer and head of climate strategy, argues that this and other recent determinations will limit the incentives for companies to develop new mines in the US, or to make sure that any mines that are developed meet the higher environmental and labor standards the Biden administration and others have been calling for.

(The determinations could change since the Treasury Department and IRS have said they are still considering including the costs of mining in the tax credits. They have requested additional comments on the matter.) 

Even if Talon doesn’t obtain any IRA subsidies, it still stands to earn federal funds in several other ways. The company is set to receive a nearly $115 million grant from the Department of Energy to build the North Dakota processing site, through funds freed up under the Bipartisan Infrastructure Law. In addition, in September Talon secured nearly $21 million in matching grants through the Defense Production Act, which will support further nickel exploration in Minnesota and at another site the company is evaluating in Michigan. (These numbers are not included in Allan’s overall $26 billion estimate.)


Talon Metals could receive $136 million in federal subsidies

$115 million to build a nickel processing site in North Dakota with funds from the Bipartisan Infrastructure Law
$21 million through the Defense Production Act to support additional nickel exploration in the Midwest.

The math

Allan says that his findings are best thought of as ballpark figures. Some of Talon’s estimates have already changed, and the actual mineral quantities and operating costs will depend on a variety of factors, including how the company’s plans shift, what state and local regulators ultimately approve, what Talon actually pulls out of the ground, how much nickel the ore contains, and how much costs shift throughout the supply chain in the coming years.

His analysis assumes a preparation cost of $6.68 per kilowatt-hour for cathode active materials, based on an earlier analysis in the journal Energies. It did not evaluate any potential subsidies associated with other metals that Talon may extract from the mine, such as iron, copper, and cobalt. Please see his full research brief on the Net Zero Industrial Policy Lab site. 

Companies can use the IRA tax credits to reduce or even eliminate their federal tax obligations, both now and in tax years to come. In addition, businesses can transfer and sell the tax credits to other taxpayers.

Most of the tax credits in the IRA begin to phase out in 2030, so companies need to move fast to take advantage of them. The subsidies for critical-mineral production, however, don’t have any such cutoff.

Where will the money go and what will it do?

The $136 million in direct federal grants would double Talon’s funds for exploratory drilling efforts and cover about 27% of the development cost for its North Dakota processing plant.

The company says that these projects will help accelerate the country’s shift toward EVs and reduce the nation’s reliance on China for critical minerals. Further, Talon notes the mine will provide significant local economic benefits, including about 300 new jobs. That’s in addition to the nearly 100 employees already working in or near Tamarack. The company also expects the operation to generate nearly $110 million in mineral royalties and taxes paid to the state, local government, and the regional school district.

Plenty of citizens around Tamarack, however, argue that any economic benefits will come with steep trade-offs in terms of environmental and community impacts. A number of local tribal members fear the project could contaminate waterways and harm the region’s plants and animals. 

“The energy transition cannot be built by desecrating native lands,” said Leanna Goose, a member of the Leech Lake Band of Ojibwe, in an email. “If these ‘critical’ minerals leave the ground and are taken out from on or near our reservations, our people would be left with polluted water and land.”

Meanwhile, as it becomes clear just how much federal money is at stake, opposition to the IRA and other climate-related laws is hardening. Congressional Republicans, some of whom have portrayed the tax subsidies as corporate handouts to the “wealthy and well connected,” have repeatedly attempted to repeal key provisions of the laws. In addition, some environmentalists and left-wing critics have chided the government for offering generous subsidies to controversial companies and projects, including Talon’s. 

Talon stresses that it has made significant efforts to limit pollution and address Indigenous concerns. In addition, Malan pushed back on Allan’s findings. He says the overall estimate of $26 billion in subsidies across the supply chain significantly exaggerates the likely outcome, given numerous ways that companies and consumers might fail to qualify for the tax credits.

“I think it’s too much to tie it back to a little mining company in Minnesota,” he says. 

He emphasizes that Talon will earn money only for selling the metal it extracts, and that it will receive other federal grants only if it secures permits to proceed on its projects. (The company could also apply to receive separate IRA tax credits that cover a portion of the investments made into certain types of energy projects, but it has not at this time.)

Boosting the battery sector

The next stop in the supply chain is the battery makers. 

The amount of nickel that Talon expects to pull from the mine could be used to produce cathodes for nearly 190 million kilowatt-hours’ worth of lithium-ion batteries, according to Allan’s findings. 

Manufacturing that many batteries could generate some $8.5 billion from a pair of IRA tax credits worth $45 per kilowatt-hour, dwarfing the potential subsidies for processing the nickel.

Any number of companies might purchase metals from Talon to build batteries, but Tesla has already agreed to buy 75,000 tons of nickel in concentrate from the North Dakota facility. (The companies have not disclosed the financial terms of the deal.)

Given the batteries that could be produced with this amount of metal, Tesla’s share of these tax savings could exceed $4 billion, Allan found. 

The tax credits add up to “a third of the cost of the battery, full stop,” he says. “These are big numbers. The entire cost of building the plant, at least, is covered by the IRA.”


What Talon’s nickel may mean for Tesla


The math

The subsidies for battery makers would flow from two credits within the IRA. Those include a $35-per-kilowatt-hour tax credit for manufacturing battery cells and a $10-per-kilowatt-hour credit for producing battery modules, which are the bundles of interoperating cells that slot into vehicles. Allan’s calculations assume that all the metal will be used to produce nickel-rich NMC 811 batteries, and that every EV will include an 80-kilowatt-hour battery pack that costs $153 per kilowatt-hour to produce.

Where will the money go and what will it do?

Those billions are just what Tesla could secure in tax credits from the nickel it buys from Talon. It and other battery makers could qualify for still more government subsidies for batteries produced with critical minerals from other sources. 

Tesla didn’t respond to inquiries from MIT Technology Review. But its executives have said they believe Tesla’s batteries will qualify for the manufacturing tax credits, even before Talon’s mining and processing plants are up and running.

On an earnings call last January, Zachary Kirkhorn, who was then the company’s chief financial officer, said that Tesla expected the battery subsidies from its current production lines to total $150 million to $250 million per quarter in 2023. He said the company intends to use the tax credits to lower prices and promote greater adoption of electric vehicles: “We want to use this to accelerate sustainable energy, which is our mission and also the goal of [the IRA].” 

But these potential subsidies are clear evidence that the US government is dedicating funds to the wrong societal priorities, says Jenna Yeakle, an organizer for the Sierra Club North Star Chapter in Minnesota, which added its name to a letter to the White House criticizing federal support for Talon’s proposals. 

“People are struggling to pay rent and put food on the table and to navigate our monopolized corporate health-care system,” she says. “Do we need to be subsidizing Elon Musk’s bank account?”

Still, the IRA’s tax credits will go to numerous battery companies beyond Tesla. 

In fact, the incentives are already reshaping the marketplace, driving a sharp increase in the number of battery and electric-vehicle projects announced, according to the EV Supply Chain Dashboard, a database managed by Jay Turner, a professor of environmental studies at Wellesley College and author of Charged: A History of Batteries and Lessons for a Clean Energy Future. 

As of press time, 81 battery and EV-related projects representing $79 billion in investments and more than 50,000 jobs have been announced across the US since Biden signed the IRA. On an annual basis, that’s nearly three times the average dollar figures announced in recent years before the law was enacted. The projects include BMW, Hyundai, and Ford battery plants, Tesla’s semi manufacturing pilot plant in Nevada, and Redwoods Materials’ battery recycling facility in South Carolina. 

“It’s really exceptional,” Turner says. “I don’t think anybody expected to see so many battery projects, so many jobs, and so many investments over the past year.”

Driving EV sales

The biggest subsidy, though also the most diffuse one, would go to American consumers. 

The IRA offers two tax credits worth up to $7,500 combined for purchasing EVs and plug-in hybrids if the battery materials and components comply with the domestic content requirements.

Since the nickel that Talon expects to extract from the Minnesota mine could power nearly 2.4 million electric vehicles, consumers could collectively see $17.7 billion in potential savings if all those vehicles qualify for both credits, Allan finds. 

Talon’s Malan says this estimate significantly overstates the likely consumer savings, noting that many purchases won’t qualify. Indeed, an individual with a gross income that exceeds $150,000 won’t be eligible, nor will pickups, vans, and SUVs that cost more than $80,000. That would rule out, for instance, the high-end model of Tesla’s Cybertruck.

A number of Tesla models are currently excluded from one or both consumer credits, for varied and confusing reasons. But the Talon deal and other recent sourcing arrangements, as well as the company’s plans to manufacture more of its own batteries, could help more of Tesla’s vehicles to qualify in the coming months or years. 

The IRA’s consumer incentives are likely to do more to stimulate demand than previous federal EV policies, in large part because customers can take them in the form of a price cut at the point of sale, says Gil Tal, director of the Electric Vehicle Research Center at the University of California, Davis. Previously, such incentives would simply reduce the buyer’s federal obligations come tax season. 

RMI, a nonprofit research group focused on clean energy, projects that all the EV provisions within the IRA, which also include subsidies for new charging stations, will spur the sales of an additional 37 million electric cars and trucks by 2032. That would propel EV sales to around 80% of new passenger-automobile purchases. Those vehicles, in turn, could eliminate 2.4 billion tons of transportation emissions by 2040. 

red Tesla Model3
In a preliminary economic analysis, Talon said it hoped to dig up more than 140,000 tons of nickel. That’s enough to produce lithium-ion batteries that could power almost 2.4 million electric vehicles.
TESLA

The math

The IRA offers two tax credits that could apply to EV buyers. The first is a $3,750 credit for those who purchase vehicles with batteries that contain a significant portion of critical minerals that were mined or processed in the US, or in a country with which the US has a free-trade agreement. The required share is 50% in 2024 but reaches 80% beginning in 2027. Cars and trucks may also qualify if the materials came from recycling in North America.

Buyers can also earn a separate $3,750 credit if a specified share of the battery components in the vehicle were manufactured or assembled in North America. The share is 60% this year and next but reaches 100% in 2029.

The big bet

There are lingering questions about how many of the projects sparked by the country’s new green industrial policies will ultimately be built—and what the US will get for all the money it’s giving up. 

After all, the tens of billions of dollars’ worth of tax credits that could be granted throughout the Talon-to-Tesla-to-consumer nickel supply chain is money that isn’t going to the federal government, and isn’t funding services for American taxpayers.

The IRA’s impacts on tax coffers are certain to come under greater scrutiny as the programs ramp up, the dollar figures rise, projects run into trouble, and the companies or executives benefiting engage in questionable practices. After all, that’s exactly what happened in the aftermath of the country’s first major green industrial policy efforts a decade ago, when the high-profile failures of Solyndra, Fisker, and other government-backed clean-energy ventures fueled outrage among conservative critics. 

Nevertheless, Tom Moerenhout, a research scholar at Columbia University’s Center on Global Energy Policy, insists it’s wrong to think of these tax credits as forgone federal revenue. 

In many cases, the projects set to get subsidies for 10% of their operating costs would not otherwise have existed in the first place, since those processing plants and manufacturing facilities would have been built in other, cheaper countries. “They would simply go to China,” he says.

UCLA’s Clausing doesn’t entirely agree with that take, noting that some of this money will go to projects that would have happened anyway, and some of the resources will simply be pulled from other sectors of the economy or different project types. 

“It doesn’t behoove us as experts to argue this is free money,” she says. “Resources really do have costs. Money doesn’t grow on trees.”

But any federal expenses here are “still cheaper than the social cost of carbon,” she adds, referring to the estimated costs from the damage associated with ongoing greenhouse-gas pollution. “And we should keep our eyes on the prize and remember that there are some social priorities worth paying for—and this is one of those.”

In the end, few expect the US’s sweeping climate laws to completely achieve any of the hopes underlying them on their own. They won’t propel the US to net-zero emissions. They won’t enable the country to close China’s massive lead in key minerals and cleantech, or fully break free from its reliance on the rival nation. Meanwhile, the battle to lock down access to critical minerals will only become increasingly competitive as more nations accelerate efforts to move away from fossil fuels—and it will generate even more controversy as communities push back against proposals over concerns about environmental destruction.

But the evidence is building that the IRA in particular is spurring real change, delivering at least some progress on most of the goals that drove its passage: galvanizing green-tech projects, cutting emissions, creating jobs, and moving the nation closer to its clean-energy future. 

“It is catalyzing investment up and down the supply chain across North America,” Allan says. “It is a huge shot in the arm of American industry.”