Reframing digital transformation through the lens of generative AI

Enterprise adoption of generative AI technologies has undergone explosive growth in the last two years and counting. Powerful solutions underpinned by this new generation of large language models (LLMs) have been used to accelerate research, automate content creation, and replace clunky chatbots with AI assistants and more sophisticated AI agents that closely mimic human interaction.

“In 2023 and the first part of 2024, we saw enterprises experimenting, trying out new use cases to see, ‘What can this new technology do for me?’” explains Arthy Krishnamurthy, senior director for business transformation at Dataiku. But while many organizations were eager to adopt and exploit these exciting new capabilities, some may have underestimated the need to thoroughly scrutinize AI-related risks and recalibrate existing frameworks and forecasts for digital transformation.

“Now, the question is more around how fundamentally can this technology reshape our competitive landscape?” says Krishnamurthy. “We are no longer just talking about technological implementation but about organizational transformation. Expansion is not a linear progression but a strategic recalibration that demands deep systems thinking.”

Key to this strategic recalibration will be a refined approach to ROI, delivery, and governance in the context of generative AI-led digital transformation. “This really has to start in the C-suite and at the board level,” says Kevin Powers, director of Boston College Law School’s Master of Legal Studies program in cybersecurity, risk, and governance. “Focus on AI as something that is core to your business. Have a plan of action.”

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The Download: AI companion dangers, and supersonic planes

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

An AI chatbot told a user how to kill himself—but the company doesn’t want to “censor” it

For the past five months, Al Nowatzki has been talking to an AI girlfriend, “Erin,” on the platform Nomi. But in late January, those conversations took a disturbing turn: Erin told him to kill himself, and provided explicit instructions on how to do it. 

Nowatzki had never had any intention of following Erin’s instructions—he’s a researcher who probes chatbots’ limitations and dangers. But out of concern for more vulnerable individuals, he exclusively shared with MIT Technology Review screenshots of his conversations and of subsequent correspondence with a company representative, who stated that the company did not want to “censor” the bot’s “language and thoughts.” 

This is not the first time an AI chatbot has suggested that a user take violent action, including self-harm. But researchers and critics say that the bot’s explicit instructions—and the company’s response—are striking. Read the full story

—Eileen Guo

Supersonic planes are inching toward takeoff. That could be a problem.

Boom Supersonic broke the sound barrier in a test flight of its XB-1 jet last week, marking an early step in a potential return for supersonic commercial flight. The small aircraft reached a top speed of Mach 1.122 (roughly 750 miles per hour) in a flight over southern California and exceeded the speed of sound for a few minutes. 

Boom plans to start commercial operation with a scaled-up version of the XB-1, a 65-passenger jet, before the end of the decade. It has already sold dozens of planes to customers including United Airlines and American Airlines. But as the company inches toward that goal, experts warn that such efforts will come with a hefty climate price tag. Read the full story

—Casey Crownhart

Read more of Casey’s thoughts about why supersonic flights could be such a big misstep in The Spark, our weekly newsletter that explains the tech that could solve (or, in this case, worsen!) the climate crisis. Sign up to receive it every Wednesday. 

Humanlike “teeth” have been grown in mini pigs

Loose an adult tooth, and you’re left with limited options that typically involve titanium implants or plastic dentures. But scientists are working on an alternative: lab-grown human teeth that could one day replace damaged ones. 

Pamela Yelick and Weibo Zhang at Tufts University School of Dental Medicine in Boston have grown a mixture of pig and human tooth cells in pieces of pig teeth to create bioengineered structures that resemble real human teeth. 

It’s a step toward being able to create lab-grown, functional, living human teeth that can integrate with a person’s gums and jaws. Read about how they did it

—Jessica Hamzelou

MIT Technology Review Narrated: The race to save our online lives from a digital dark age

We’re making more data than ever. What can—and should—we save for future generations? And will they be able to understand it? 

This is our latest story to be turned into a MIT Technology Review Narrated podcast, which we’re publishing each week on Spotify and Apple Podcasts. Just navigate to MIT Technology Review Narrated on either platform, and follow us to get all our new content as it’s released.

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 China may pull the plug on a TikTok deal
Holding out is a weapon in its arsenal as Trump ramps up the trade war. (WP $)

2 Australia and South Korea are cracking down on DeepSeek
They’re restricting government use of its models due to security concerns. (Nikkei Asia)
+ How DeepSeek ripped up the AI playbook—and why everyone’s going to follow its lead. (MIT Technology Review)

3 A new form of bird flu has been detected in cows in Nevada
This is far from good news, and even worse timing. (NYT $)
Argentina is planning to follow the US in withdrawing from the World Health Organization. (CNN)
+ This is what might happen if the US exits the WHO. (MIT Technology Review)

4 The US Postal Service has resumed accepting packages from China
The sudden U-turn has added to growing confusion about the impact of the new 10% tariff.  (CNBC)

5 What happens when DOGE starts tinkering with the nuclear agency?
A ‘break things now, fix them later’ mindset isn’t so great when the thing you’re breaking is this important. (The Atlantic $)
DOGE employees have been told to stop using Slack in order to avoid being subject to the Freedom of Information Act. (404 Media)

6 Mentions of DEI and women leaders are being scrubbed from NASA’s site
Personnel have been told to drop everything and focus on doing this instead. (404 Media)
+ It’s part of a wider data purge across loads of government websites. (The Verge)
+ Google is ending diversity targets for recruitment, following similar moves by Meta, Amazon and others. (BBC)
Right-wing activists have a new target in their sights: Wikipedia. (Slate $)
+ Is anyone going to stand up and resist any of this? (New Yorker $)

7 Amazon has a plan to reduce AI hallucinations
It’s pinning its hopes on a process called ‘automated reasoning’, which double checks models’ answers. (WSJ $)
Why does AI hallucinate? (MIT Technology Review)

8 Lab-grown meat for pets is now on sale 🐶
Great news for any dog-loving vegans living in the UK. (The Verge)

9 Crypto crimes have spawned a new kind of detective 🕵
It’s a cat-and-mouse game, and it’s only just getting started. (The Economist $)

10 Meet the poetry fan who taught AI to understand DNA
This is a lovely example of how art and science often intersect. (Quanta $)

Quote of the day

‘What’s the point of living in a country if I can’t order 100 pieces of junk for $15?’”

—Vivi Armacost, a 24-year-old who makes comedy videos on TikTok, jokingly complains to The Guardian about the potential impact of Trump’s 10% tariff on China-made goods sold to the US. 

The big story

These scientists are working to extend the life span of pet dogs—and their owners

A calm image of a little girl sitting beside an old black dog in a domestic room. They look toward each other.

GETTY IMAGES

August 2022

Matt Kaeberlein is what you might call a dog person. He has grown up with dogs and describes his German shepherd, Dobby, as “really special.” But Dobby is 14 years old—around 98 in dog years.

Kaeberlein is co-director of the Dog Aging Project, an ambitious research effort to track the aging process of tens of thousands of companion dogs across the US. He is one of a handful of scientists on a mission to improve, delay, and possibly reverse that process to help them live longer, healthier lives.

And dogs are just the beginning. One day, this research could help to prolong the lives of humans. Read the full story.

—Jessica Hamzelou

We can still have nice things

A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line or skeet ’em at me.)

+ Many happy returns to Yuna the tapir, who gave birth to this adorable little calf over the weekend—making them only the second tapir born at the Point Defiance Zoo & Aquarium.
+ These sourdough faces are fantastic (thanks Peter!)
+ The latest food trend? Lolfoods, apparently.
+ I simply cannot believe that the Sims is a quarter of a century old.

New Ecommerce Tools: February 6, 2025

We publish a rundown each week of new products from companies offering services to ecommerce merchants. This installment includes updates on AI agents, product pages, marketing models, point-of-sales solutions, payment platforms, and conversational commerce.

Got an ecommerce product release? Email releases@practicalecommerce.com.

New Tools for Merchants

Palona AI launches a platform for AI sales agents. Palona has released its suite of AI tools to accelerate the growth of direct-to-consumer and other consumer-facing businesses. The company also announced $10 million in seed funding from investors, including UpHonest Capital, Fusion Fund, Maynard Webb, NEO Investment Partners, and others. Palona’s mission is to give customers AI they can trust with key parts of any business: their brand, customer relationships, and sales.

Home page of Palona AI

Palona AI

Google launches an open-source marketing mix model. Google has launched Meridian, an open-source marketing mix model available to all marketers and data scientists. Google has also introduced a partner program with over 20 certified measurement partners. Meridian analyzes campaign results based on a business’s key performance indicators, such as sales, website visits, profit, and conversions.

Poshmark marketplace debuts Smart List AI. Poshmark, a fashion resale marketplace, has unveiled Smart List AI to streamline the listing process with the power of generative AI. According to Poshmark, Smart List AI acts as a co-pilot for sellers. It uses artificial intelligence to generate listing details across any category and department from a single photo. The AI also automates the creation of key listing elements such as title, description, and category.

Paymob partners with Woo to help MENA merchants. Paymob, a financial services provider in the Middle East and North Africa, has partnered with Woo, the open-source ecommerce platform. Using Paymob, WooCommerce merchants can integrate over 50 global and local payment methods, including  Apple Pay, Google Pay, and regional alternatives. According to Paymob, the integration aims to simplify the checkout process by providing a secure and seamless experience with embedded 3D Secure and PCI compliance.

Home page of Paymob

Paymob

Qeen.ai raises $10 million to provide AI agents for ecommerce businesses. Qeen.ai, a provider of AI tools for ecommerce, has raised $10 million in funding, ​​led by Prosus Ventures, with participation from existing investors, including Wamda Capital, 10x Founders, and Dara Holdings. Qeen.ai develops AI agents that autonomously execute tasks and optimize outcomes based on observed user behavior. Ecommerce businesses can leverage Qeen.ai’s agents to carry out functions such as content creation, marketing, and conversational sales.

Vengo AI partners with AppSumo to launch an AI sales platform. Vengo AI, a platform for customizable AI sales agents, is now a featured partner on the AppSumo marketplace. Vengo AI says it enables businesses to create AI sales agents that reflect their unique voice and branding, available 24/7 through text and voice. Businesses can add Vengo AI to any website or platform to capture and track customer data.

Alloy.ai and CloudPaths partner on supply chain planning for consumer products. Alloy.ai, a data integration and retail analytics platform for consumer brands, has joined forces with CloudPaths, a SAP partner, to offer supply chain planning, guidance, and implementation. According to the companies, the partnership enables consumer product businesses to transform their supply chain and planning by combining CloudPaths’ SAP expertise with Alloy’s real-time data integration platform.

Home page of Alloy.ai

Alloy.ai

Kepler launches AI-powered tools for ecommerce product pages. Kepler, a digital marketing agency, has launched PDP+ for ecommerce product pages. Kipler’s AI engine optimizes product-page content, identifying high-performing keywords, restructuring titles for better discoverability, and prioritizing product features based on consumer search patterns. Kepler’s AI-powered engine elevates basic product photography, turning standard background shots into immersive imagery and video. A team of brand and creative experts crafts and reviews the enhancements, Kepler says.

Bookshop.org launches an ebook platform for indie bookstores. Bookshop.org, a site promoting independent bookstores, has launched a platform enabling independent bookstores to sell ebooks. According to Bookshop.org, the digital books initiative enables local bookstores to sell digital products and retain 100% of the profits. The platform, available through Bookshop.org, launches with 3 million ebooks.

Moniepoint tests a POS that manages inventory. Moniepoint, a digital payment company, is testing a point-of-sale service that combines payment and transaction processing with inventory management. Following its acquisition of Grocel, a provider of inventory management tools, Moniepoint has integrated Grocle’s features into its POS terminals. Moniepoint’s new integrated POS will manage the combination of business processes and record keeping.

Gallabox raises $3.5 million for AI-driven business on WhatsApp. Gallabox, a no-code conversational commerce platform, has raised $3.5 million to address how businesses leverage WhatsApp for marketing and sales. The seed round was led by Fuse, with participation from existing investors Prime Venture Partners and Neon Fund. Gallabox says its platform for WhatsApp automation enables businesses to create AI chatbots for lead qualification, deploy drip marketing campaigns, and manage team collaboration through shared inboxes.

Home page of Gallabox

Gallabox

Google’s JavaScript SERPs Impact Trackers, AI

Google’s search engine results pages now require JavaScript, effectively “hiding” the listings from organic rank trackers, artificial intelligence models, and other optimization tools.

The world’s most popular search engine began requiring JavaScript on search pages last month. Google stated the move aimed to protect its services from bots and “abuse,” perhaps a thinly veiled allusion to competitive AI.

These changes could complicate search engine optimization in at least three ways: rank tracking, keyword research, and AI visibility.

Google Search now requires browsers to have JavaScript enabled.

Impact of JavaScript

Web crawlers can scrape and index JavaScript-enabled pages even when the JavaScript itself renders the content. Googlebot does this, for example.

A web-scraping bot grabs the content of an HTML page in four steps, more or less:

  • Request. The crawler sends a simple HTTP GET request to the URL.
  • Response. The server returns the HTML content.
  • Parse. The crawler parses (analyzes) the HTML, gathering the content.
  • Use. The content is passed on for storage or use.

For example, before the JavaScript switch, bots from Ahrefs and Semrush crawled Google SERPs. A bot could visit the SERP for, say, “men’s running shoes,” parse the HTML, and use the data to produce rank-tracking and traffic reports.

The process is relatively more complicated with JavaScript.

  • Request. The crawler sends a simple HTTP GET request to the URL.
  • Response. The server returns a basic HTML skeleton, often without much content (e.g.,

    ).

  • Execute. To run the JavaScript and load dynamic content., the crawler renders the page in a headless browser such as Puppeteer, Playwright, or Selenium.
  • Wait. The crawler waits for the page to load, including API calls and data updates. A few milliseconds might seem insignificant, but it slows down the crawlers and adds costs.
  • Parse. The crawler parses the dynamic and static HTML, gathering the content as before.
  • Use. The content is passed on for storage or use.

The two additional steps — Execute and Wait — are far from trivial since they require full browser simulation and thus much more CPU and RAM. Some have estimated that JavaScript-enabled crawling takes three to 10 times more computing resources than scraping static HTML.

Feature HTML Scraping JavaScript Scraping
Initial response Full HTML content Minimal HTML with placeholders
JavaScript execution Not required Required
Tools Requests, BeautifulSoup, Scrapy Puppeteer, Playwright, Selenium
Performance Faster, lightweight Slower, resource-heavy
Content availability Static content only Both static and dynamic content
Complexity Low High

It is worth clarifying that Google does not render the entire SERP with JavaScript, instead requiring that visitors’ browsers enable JavaScript — essentially the same impact.

The time and resources to crawl a SERP vary greatly. Hence one cannot easily assess the impact of Google’s new JavaScript requirement on one tool or another other than an educated guess.

Rank tracking

Marketers use organic rank-tracking tools to monitor where a web page appears on Google SERPs — listings, featured snippets, knowledge panels, local packs — for target keywords.

Semrush, Ahrefs, and other tools crawl millions, if not billions, of SERPs monthly. Rendering and parsing those dynamic results pages could raise costs significantly, perhaps fivefold.

For marketers, this potential increase might mean tracking tools become more expensive or relatively less accurate if they crawl SERPs infrequently.

Keyword research

Google’s JavaScript requirement may also impact keyword research since identifying relevant, high-traffic keywords could become imprecise and more costly.

These changes may force marketers to find other ways to identify content topics and keyword gaps. Kevin Indig, a respected search engine optimizer, suggested that marketers turn to page- or domain-level traffic metrics if keyword data becomes unreliable.

AI models

The hype surrounding AI engines reminds me of voice search a few years ago, although the former is becoming much more transformative.

Likely AI models crawled Google results to discover pages and content. An AI model asked to find the best running shoe for a 185-pound male might scrape a Google SERP and follow links to the top 10 sites. Thus some marketers expected a halo effect from ranking well on Google.

But AI models must now spend extra time and computing power to parse Google’s JavaScript-driven results pages.

Wait and Adapt

As is often the case with Google’s changes, marketers must wait to gauge the JavaScript effect, but one thing is certain: SEO is changing.

Google Adds New Guidance For Merging GA4 & Search Console Data via @sejournal, @MattGSouthern

Google has rolled out updated documentation on how to combine data from Google Analytics and Search Console.

Unified SEO Insights

The new guidelines recommend using Google Analytics and Google Search Console together. Google Analytics tracks user behavior on your website, while Search Console monitors your site’s performance in Google Search.

This combination gives you a clearer view of website activity, allowing you to compare key metrics like sessions and clicks. Understanding how users find and interact with your site helps improve SEO decisions.

Leveraging Looker Studio

This document explains how to use Looker Studio to view organic search traffic data from Google Analytics and Search Console on one dashboard. It provides steps for setting up data sources and creating charts, using different colors to distinguish between the two platforms.

SEO professionals can track key metrics like sessions, engagement rates, returning users, clicks, and click-through rates (CTR). This visual format helps identify changes in performance and resolve differences between the two data sources.

Addressing Data Discrepancies

The documentation explains the differences in metrics from each tool. Both measure website engagement, but results may vary due to session tracking methods, time zone settings, attribution models, and reporting of non-HTML pages.

Google’s guidelines offer insights into these differences and tips to reduce data gaps.

How This Helps

SEO professionals can follow the steps in the new documentation to better assess their website’s performance.

By connecting data on what happens before and after a visitor clicks on a search result, marketers can better evaluate their SEO efforts.

To be clear, connecting Google Analytics and Search Console is a recommendation, not a requirement. If you’re satisfied with your analytics tracking and reporting solutions, you don’t have to do anything different.

For more details, view the official documentation on the Google Developers website.

TAM, SAM, SOM: Understanding Their Role In Enterprise-Level SEO Strategy via @sejournal, @TaylorDanRW

Understanding total addressable market (TAM), serviceable addressable market (SAM), and serviceable obtainable market (SOM) isn’t just useful for marketers. It’s an important tool for assessing whether a business idea is viable.

These metrics give various business stakeholders, including marketers and product teams, the clarity they need to evaluate whether a new product has the potential to succeed.

TAM, SAM, and SOM play a key role in crafting a solid go-to-market strategy, and can influence the overall business plan.

They help fine-tune marketing and sales strategies, set realistic revenue goals, and determine which markets are worth your investment of time and resources.

While these metrics are deeply interconnected and don’t always have strict boundaries, their value lies in how they evolve alongside your brand, product lines, and customer needs.

 Aspect SOM SAM TAM
 Scope Realistically achievable market Addressable market based on offerings Entire market potential
 Focus Practical goals Market fit for your business/products/services Maximum opportunity
 Purpose Execution and forecasting Targeting focus Big-picture strategy

Serviceable Obtainable Market (SOM)

SOM is a smaller part of the SAM that your business can realistically capture within a certain period of time.

How much you are able to capture depends on factors like your competition, resources, and how effectively you can execute your tactics.

As the SOM is the smallest audience size in the framework, it is often overlooked as the bigger numbers and bigger audiences are more appealing – and look better on slide decks.

To enhance SEO for your SOM, start with in-depth market research to pinpoint your ideal customer profiles (ICPs) in this reachable group.

  • What are their habits?
  • What challenges do they face?
  • What terms are they searching for?

Use this insight to form content that speaks directly to them.

Develop a keyword strategy that includes niche-specific terms, and support it by publishing high-value content, optimizing for local search, and building authoritative backlinks.

The goal is to meet your customers where they are while creating meaningful engagement.

This is where you can also apply the Pareto Law as outlined by Byron Sharp in the book “How Brands Grow.”

In the book, Sharp cites that 60% of Coca-Cola sales come from just 20% of the buyer base. Their SOM is responsible for 60% of sales.

Serviceable Available Market (SAM)

Your SAM is an expansion on your SOM, and represents the slice of the TAM that’s feasible for your business to target, given its unique offerings and practical reach.

It narrows the TAM by focusing on customers who align with your specific product and logistical capabilities.

For an online sports shoe store, the SAM could be fitness enthusiasts and amateur athletes who shop online and live in areas where the company offers delivery and actively markets its products.

By refining your TAM into a SAM, you’re ensuring you prioritize the most realistic opportunities for your business.

This then translates into your SEO strategy, and helps you prioritize your content and digital PR focuses by working to reach these audience profiles.

Total Addressable Market (TAM)

The TAM is the largest market opportunity. It represents the total revenue your product or service could generate if you somehow captured 100% of the market.

TAM serves as the starting point for understanding the full scale of an opportunity, offering a broad perspective before you narrow things down.

In the sports shoe example, the TAM could include everyone in the world who buys sports shoes, whether they shop online or in-store.

This overall market might include professional athletes, casual gym-goers, and even occasional joggers, spanning all sales channels like ecommerce sites, retail stores, and third-party marketplaces.

You then also have the fashion and collector markets, who see sports shoes as casual everyday wear or as a monetary investment.

While TAM is more theoretical, it sets the foundation for evaluating the overall potential of your industry.

TAM Vs. SEO TAM

“TAM” represents the total revenue potential if a company captures 100% of its market. “SEO TAM” narrows this to the revenue achievable by reaching all potential customers through search engines.

It represents the potential revenue attainable by engaging all customers who could discover your product via search engines, where their intent aligns with the value of your content or product/service.

I wrote an article exploring the SEO TAM more here.

The TAM Trap

The alignment of your value proposition to what the user is looking for is important, even more so now than ever.

The “TAM trap” in calculating your potential SEO market happens when you assume that everyone who searches a specific keyword shares the same intent.

Keywords can have multiple interpretations; some you would class as having multiple common interpretations, some more dominant interpretations, and others potentially lesser common interpretations.

A number of factors can influence these interpretations, including time of the year and the searcher’s location.

Some common examples involve brands, such as Jaguar: Are people searching for the car, the animal, or the sports team?

A less common example I’ve experienced was a variation of the term “WAF.”

The dominant interpretation of this search term (globally) is Web Application Firewall, but our rank trackers picked up that on Texas IPs, for around a month, Google alternated between our CDN client and the World Apostolate of Fatima church.

This was around the time of a religious festival, so, for a short time, the most prominent interpretation of the queries in that locale changed to users wanting details for the church. This impacted our WAF rankings from the top three to lower page one.

After the two-week period, when the change in demand subsided, the SERP “reset” to reflect the regular interpretations.

This is important to note, as just classifying queries by intent isn’t always enough when estimating audience size – especially when big marquee head terms are involved – as not all 10,000 searches of the query will come from users with the same interpretation, same prior knowledge levels, or same end-intent.

More Resources:


Featured Image: Gorodenkoff/Shutterstock

Ask An SEO: How To Repair & Recover Negative Brand Mentions In SERPs via @sejournal, @MordyOberstein

This time on Ask An SEO, we’re diving into a branding question from someone dealing with negative SERP results:

I have a client that recently had some financial issues and the SERP for their brand has many negative listings.

Do you have any ideas for a strategy that could help to remove those listings and improve their brand status?

There are two ways to approach this. There’s the practical things in your immediate control and there’s the wider brand relationship that needs mending. I’ve very much been here before.

Folks will tend to lean into the changes you can make that are in your immediate locus of control.

For example, start posting on X (Twitter), and you’ll get a carousel for your posts on the search engine results pages (SERPs). This carousel can push “negative” results off page one.

The problem with this sort of approach is that it’s not entirely effective.

For starters, it has limited reach (yes, your posts will appear in a carousel, but not on every SERP related to your brand).

Also, it doesn’t deal with the very top of the SERP, and who knows what actual result you’re pushing to page two – maybe it’s one that is favorable to your brand?

While I’m not saying you should not do whatever you can do in the immediate, I would caution you about getting too caught up in it.

What you need to be doing is thinking about how you repair your relationship with your niche.

Brands fail here all the time. I’ve seen it firsthand. So, I have a few pieces of key advice you need to follow if you want to fix your brand’s SERP for real.

1. You Have To Get Out Of Your Comfort Zone

The main reason brands fail at this is because it’s uncomfortable.

The biggest piece of advice I can offer you is to be ready and willing to get out of your comfort zone.

You’re going to have to eat crow in some way, shape, or form. You can’t wrong someone and then not apologize. You may feel you did nothing wrong or that it was out of your control or whatever.

I warn you not to get hung up on this. Your audience feels hurt – that is all that matters.

You need to somehow repair that hurt, and it’s going to mean eating some form of humble pie. And everyone loves pie, so it’s OK.

2. You Have To Diagnose The Root Cause Of The Negative Sentiment

Often, the knee-jerk reaction brands have is to “market their way” out of a problem. They launch campaigns or initiatives that aim to create new buzz and new chatter that is more positive. This doesn’t work.

You can’t do any of that until you diagnose the root cause. What you’re looking for here is (among other things):

  • What event (or series of happenings) triggered the negative response?
  • How did this trigger impact the audience? (You need to be extremely specific and explicit here. Generalizations are not helpful).
  • Why did this trigger the industry to such an extent? (Again, be explicit here).
  • How toxic is the relationship? You need to know how damaged the relationship is, and you have to be consciously aware of it.

3. You Have To Be Transparent

This speaks a bit to my earlier point about getting out of your comfort zone. You are rebuilding trust. That’s hard. It takes time, and it takes substance (so my fourth tip would be: actually change, just don’t say you did). It’s a process.

You need to reinforce to your audience that you are constantly engaging in that process and that you don’t take their trust for granted.

If this sounds like some sort of Dr. Phil episode, it’s because it is. Humans are humans. The relationships that brands have with their audience work just the way our personal relationships do.

If you violated someone’s trust on a personal level, you would need to show you’re doing the work to earn their trust back.

That means a new level of transparency and vulnerability is needed.

Same for your brand. There is zero difference.

Changing The Narrative Sets Everything Else In Motion

The end result of this process, if you do the work to create engagement and audience interest (which is a whole other conversation about how you do that), is exactly what you’re looking for.

What you really want is not to have a result change or an article rewritten. What you want is for the narrative to shift.

Once the narrative shifts, the rest falls into place. People start talking about you in a positive way (even referencing how amazing it is you turned it all around). They’ll even start writing articles about you or mentioning you, etc.

At that point, once the narrative has shifted and the industry has clearly reassociated how they think and feel about you, you can pick up the stragglers.

Then, you can reach out to those sites that still have not updated their content to reflect the “new you.”

You now have the capital and the inertia to put an unspoken pressure on sites to change their content.

If everyone else is thinking about you a certain way and talking about you a certain way, and if you’ve gained a bit of popularity, those stragglers are not going to want to be left behind (or, at a minimum, running against the grain and consensus).

Now, you have the real power to change the listings on the SERP, no matter who is ranking or what the query is.

Change narratives, not organic listings.

More Resources:


Featured Image: Paulo Bobita/Search Engine Journal

What’s next for smart glasses

MIT Technology Review’s What’s Next series looks across industries, trends, and technologies to give you a first look at the future. You can read the rest of them here.

For every technological gadget that becomes a household name, there are dozens that never catch on. This year marks a full decade since Google confirmed it was stopping production of Google Glass, and for a long time it appeared as though mixed-reality products—think of the kinds of face computers that don’t completely cover your field of view they way a virtual-reality headset does—would remain the preserve of enthusiasts rather than casual consumers.

Fast-forward 10 years, and smart glasses are on the verge of becoming—whisper it—cool. Meta’s smart glasses, made in partnership with Ray-Ban, are basically indistinguishable from the iconic Wayfarers Tom Cruise made famous in Risky Business. Meta also recently showed off its fashion-forward Orion augmented reality glasses prototype, while Snap unveiled its fifth-generation Spectacles, neither of which would look out of place in the trendiest district of a major city. In December, Google showed off its new unnamed Android XR prototype glasses, and rumors that Apple is still working on a long-anticipated glasses project continue to swirl. Elsewhere, Chinese tech giants Huawei, Alibaba, Xiaomi, and Baidu are also vying for a slice of the market.

Sleeker designs are certainly making this new generation of glasses more appealing. But more importantly, smart glasses are finally on the verge of becoming useful, and it’s clear that Big Tech is betting that augmented specs will be the next big consumer device category. Here’s what to expect from smart glasses in 2025 and beyond.

AI agents could finally make smart glasses truly useful 

Although mixed-reality devices have been around for decades, they have largely benefited specialized fields, including the medical, construction, and technical remote-assistance industries, where they are likely to continue being used, possibly in more specialized ways. Microsoft is the creator of the best-known of these devices, which layer virtual content over the wearer’s real-world environment, and marketed its HoloLens 2 smart goggles to corporations. The company recently confirmed it was ending production of that device. Instead, it is choosing to focus on building headsets for the US military in partnership with Oculus founder Palmer Luckey’s latest venture, Anduril.

Now the general public may finally be getting access to devices they can use. The AI world is abuzz over agents, which augment large language models (LLMs) with the ability to carry out tasks by themselves. The past 12 months have seen huge leaps in AI multimodal LLMs’ abilities to handle video, images, and audio in addition to text, which opens up new applications for smart glasses that would not have been possible previously, says Louis Rosenberg, an AR researcher who worked on the first functional augmented-reality system at Stanford University in the 1990s.

We already know Meta is definitely interested in AI agents. Although the company said in September that it has no plans to sell its Orion prototype glasses to the public, given their expense, Mark Zuckerberg raised expectations for its next generations of Meta’s smart glasses when he declared Orion the “most advanced pair of AR glasses ever made.” He’s also made it clear how deeply invested Meta is in bringing a “highly intelligent and personalized AI assistant” to as many users as possible and that he’s confident Meta’s glasses are the “perfect form factor for AI.”

Although Meta is already making its Ray-Ban smart glasses’ AI more conversational—its new live AI feature responds to prompts about what its wearer is seeing and hearing via its camera and microphone—future agents will give these systems not only eyes and ears, but a contextual awareness of what’s around them, Rosenberg says. For example, agents running on smart glasses could hold unprompted interactive conversations with their wearers based on their environment, reminding them to buy orange juice when they walk past a store, for example, or telling them the name of a coworker who passes them on the sidewalk. We already know Google is deeply interested in this agent-first approach: The unnamed smart glasses it first showed off at Google I/O in May 2024 were powered by its Astra AI agent system.

“Having worked on mixed reality for over 30 years, it’s the first time I can see an application that will really drive mass adoption,” Rosenberg says.

Meta and Google will likely tussle to be the sector’s top dog 

It’s unclear how far we are from that level of mass adoption. During a recent Meta earnings call, Zuckerberg said 2025 would be a “defining year” for understanding the future of AI glasses and whether they explode in popularity or represent “a longer grind.”   

He has reason to be optimistic, though: Meta is currently ahead of its competition thanks to the success of the Ray-Ban Meta smart glasses—the company sold more than 1 million units last year. It also is preparing to roll out new styles thanks to a partnership with Oakley, which, like Ray-Ban, is under the EssilorLuxottica umbrella of brands. And while its current second-generation specs can’t show its wearer digital data and notifications, a third version complete with a small display is due for release this year, according to the Financial Times. The company is also reportedly working on a lighter, more advanced version of its Orion AR glasses, dubbed Artemis, that could go on sale as early as 2027, Bloomberg reports.

Adding display capabilities will put the Ray-Ban Meta glasses on equal footing with Google’s unnamed Android XR glasses project, which sports an in-lens display (the company has not yet announced a definite release date). The prototype the company demoed to journalists in September featured a version of its AI chatbot Gemini, and much they way Google built its Android OS to run on smartphones made by third parties, its Android XR software will eventually run on smart glasses made by other companies as well as its own. 

These two major players are competing to bring face-mounted AI to the masses in a race that’s bound to intensify, adds Rosenberg—especially given that both Zuckerberg and Google cofounder Sergey Brin have called smart glasses the “perfect” hardware for AI. “Google and Meta are really the big tech companies that are furthest ahead in the AI space on their own. They’re very well positioned,” he says. “This is not just augmenting your world, it’s augmenting your brain.”

It’s getting easier to make smart glasses—but it’s still hard to get them right

When the AR gaming company Niantic’s Michael Miller walked around CES, the gigantic consumer electronics exhibition that takes over Las Vegas each January, he says he was struck by the number of smaller companies developing their own glasses and systems to run on them, including Chinese brands DreamSmart, Thunderbird, and Rokid. While it’s still not a cheap endeavor—a business would probably need a couple of million dollars in investment to get a prototype off the ground, he says—it demonstrates that the future of the sector won’t depend on Big Tech alone.

“On a hardware and software level, the barrier to entry has become very low,” says Miller, the augmented reality hardware lead at Niantic, which has partnered with Meta, Snap, and Magic Leap, among others. “But turning it into a viable consumer product is still tough. Meta caught the biggest fish in this world, and so they benefit from the Ray-Ban brand. It’s hard to sell glasses when you’re an unknown brand.” 

That’s why it’s likely ambitious smart glasses makers in countries like Japan and China will increasingly partner with eyewear companies known locally for creating desirable frames, generating momentum in their home markets before expanding elsewhere, he suggests. 

More developers will start building for these devices

These smaller players will also have an important role in creating new experiences for wearers of smart glasses. A big part of smart glasses’ usefulness hinges on their ability to send and receive information from a wearer’s smartphone—and third-party developers’ interest in building apps that run on them. The more the public can do with their glasses, the more likely they are to buy them.

Developers are still waiting for Meta to release a software development kit (SDK) that would let them build new experiences for the Ray-Ban Meta glasses. While bigger brands are understandably wary about giving third parties access to smart glasses’ discreet cameras, it does limit the opportunities researchers and creatives have to push the envelope, says Paul Tennent, an associate professor in the Mixed Reality Laboratory at the University of Nottingham in the UK. “But historically, Google has been a little less afraid of this,” he adds. 

Elsewhere, Snap and smaller brands like Brilliant Labs, whose Frame glasses run multimodal AI models including Perplexity, ChatGPT, and Whisper, and Vuzix, which recently launched its AugmentOS universal operating system for smart glasses, have happily opened up their SDKs, to the delight of developers, says Patrick Chwalek, a student at the MIT Media Lab who worked on smart glasses platform Project Captivate as part of his PhD research. “Vuzix is getting pretty popular at various universities and companies because people can start building experiences on top of them,” he adds. “Most of these are related to navigation and real-time translation—I think we’re going to be seeing a lot of iterations of that over the next few years.”

The Download: smart glasses in 2025, and China’s AI scene

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

What’s next for smart glasses

For every technological gadget that becomes a household name, there are dozens that never catch on. This year marks a full decade since Google confirmed it was stopping production of Google Glass, and for a long time it appeared as though mixed-reality products would remain the preserve of enthusiasts rather than casual consumers.

Fast-forward 10 years, and smart glasses are on the verge of becoming—whisper it—cool. Sleeker designs are certainly making this new generation of glasses more appealing. But more importantly, smart glasses are finally on the verge of becoming useful, and it’s clear that Big Tech is betting that augmented specs will be the next big consumer device category. Here’s what to expect from smart glasses in 2025 and beyond.

—Rhiannon Williams

This story is part of MIT Technology Review’s What’s Next series, which looks across industries, trends, and technologies to give you a first look at the future. You can read the rest of them here.

Four Chinese AI startups to watch beyond DeepSeek

The meteoric rise of DeepSeek—the Chinese AI startup now challenging global giants—has stunned observers and put the spotlight on China’s AI sector. Since ChatGPT’s debut in 2022, the country’s tech ecosystem has been in relentless pursuit of homegrown alternatives, giving rise to a wave of startups and billion-dollar bets. 

Today, the race is dominated by tech titans like Alibaba and ByteDance, alongside well-funded rivals backed by heavyweight investors. But two years into China’s generative AI boom we are seeing a shift: Smaller innovators have to carve out their own niches or risk missing out. What began as a sprint has become a high-stakes marathon—China’s AI ambitions have never been higher. We have identified these four Chinese AI companies as the ones to watch.

—Caiwei Chen

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 The US Postal Service has stopped accepting parcels from China 
And plunged the ecommerce industry into utter chaos. (Wired $)
+ Trump’s China tariffs are coming for Amazon, too. (Insider $)

2 Elon Musk has weaponized X in his war on government spending
The billionaire is conducting polls asking users which agency he should gut next. (NYT $)
+ Musk’s staffers reportedly entered NOAA headquarters yesterday. (The Guardian)
+ DOGE now appears to have access to Treasury payment systems. (Fast Company $)
+ But it does appear as though Trump blocked Musk from hiring a noncitizen. (The Atlantic $)

3 Google has quietly dropped its promise not to use its AI to build weapons  
Just weeks after rival OpenAI also reversed its anti-weapons development stance. (CNN)
+ OpenAI’s new defense contract completes its military pivot. (MIT Technology Review)

4 The metaverse’s future isn’t looking so rosy
Meta’s CTO has conceded that this year is critical to its success or failure. (Insider $)

5 OpenAI is attempting to court Hollywood’s filmmakers
But its Sora video tool has been met with a frosty reception. (Bloomberg $)
+ How to use Sora, OpenAI’s video generating tool. (MIT Technology Review)

6 These drones are launching drones to attack other drones
Ukraine is continuing to produce innovative battlefield technologies. (Ars Technica)
+ Meet the radio-obsessed civilian shaping Ukraine’s drone defense. (MIT Technology Review)

7 How to make artificial blood 🩸
We’re running out of the real stuff. Is fake blood a viable alternative? (New Yorker $)

8 Students have worked out how to hack schools’ ‘phone prisons’
Teachers should know that smart kids will always find a workaround. (NY Mag $)

9 Social media can’t give you validation
So stop trying to find it there. (Vox)

10 Internet slang is out of control
Skibidi, gigachad, or deeve, anyone? (WSJ $)

Quote of the day

“While we encourage people to use AI systems during their role to help them work faster and more effectively, please do not use AI assistants during the application process.”

—AI company Anthropic urges people applying to work there not to use chatbots and other tools during the process, the Financial Times reports.

The big story

The race to save our online lives from a digital dark age

August 2024

There is a photo of my daughter that I love. She is sitting, smiling, in our old back garden, chubby hands grabbing at the cool grass. It was taken on a digital camera in 2013, when she was almost one, but now lives on Google Photos.

But what if, one day, Google ceased to function? What if I lost my treasured photos forever? For many archivists, alarm bells are ringing. Across the world, they are scraping up defunct websites or at-risk data collections to save as much of our digital lives as possible. Others are working on ways to store that data in formats that will last hundreds, perhaps even thousands, of years.

The endeavor raises complex questions. What is important to us? How and why do we decide what to keep—and what do we let go? And how will future generations make sense of what we’re able to save? Read the full story.

—Niall Firth

We can still have nice things

A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line or skeet ’em at me.)

+ Letsa go—Nintendo has added 49 Super Mario World tracks to its music app!
+ Congratulations are in order for New Zealand’s Mount Taranaki, which is now legally recognized as a person. ⛰
+ I’ve got something in common with these Hollywood greats at last: they never won an Oscar, either.
+ Do you prefer music or silence in your yoga class?