What’s next for AI in 2025

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 the last couple of years we’ve had a go at predicting what’s coming next in AI. A fool’s game given how fast this industry moves. But we’re on a roll, and we’re doing it again.

How did we score last time round? Our four hot trends to watch out for in 2024 included what we called customized chatbots—interactive helper apps powered by multimodal large language models (check: we didn’t know it yet, but we were talking about what everyone now calls agents, the hottest thing in AI right now); generative video (check: few technologies have improved so fast in the last 12 months, with OpenAI and Google DeepMind releasing their flagship video generation models, Sora and Veo, within a week of each other this December); and more general-purpose robots that can do a wider range of tasks (check: the payoffs from large language models continue to trickle down to other parts of the tech industry, and robotics is top of the list). 

We also said that AI-generated election disinformation would be everywhere, but here—happily—we got it wrong. There were many things to wring our hands over this year, but political deepfakes were thin on the ground

So what’s coming in 2025? We’re going to ignore the obvious here: You can bet that agents and smaller, more efficient, language models will continue to shape the industry. Instead, here are five alternative picks from our AI team.

1. Generative virtual playgrounds 

If 2023 was the year of generative images and 2024 was the year of generative video—what comes next? If you guessed generative virtual worlds (a.k.a. video games), high fives all round.

We got a tiny glimpse of this technology in February, when Google DeepMind revealed a generative model called Genie that could take a still image and turn it into a side-scrolling 2D platform game that players could interact with. In December, the firm revealed Genie 2, a model that can spin a starter image into an entire virtual world.

Other companies are building similar tech. In October, the AI startups Decart and Etched revealed an unofficial Minecraft hack in which every frame of the game gets generated on the fly as you play. And World Labs, a startup cofounded by Fei-Fei Li—creator of ImageNet, the vast data set of photos that kick-started the deep-learning boom—is building what it calls large world models, or LWMs.

One obvious application is video games. There’s a playful tone to these early experiments, and generative 3D simulations could be used to explore design concepts for new games, turning a sketch into a playable environment on the fly. This could lead to entirely new types of games

But they could also be used to train robots. World Labs wants to develop so-called spatial intelligence—the ability for machines to interpret and interact with the everyday world. But robotics researchers lack good data about real-world scenarios with which to train such technology. Spinning up countless virtual worlds and dropping virtual robots into them to learn by trial and error could help make up for that.   

Will Douglas Heaven

2. Large language models that “reason”

The buzz was justified. When OpenAI revealed o1 in September, it introduced a new paradigm in how large language models work. Two months later, the firm pushed that paradigm forward in almost every way with o3—a model that just might reshape this technology for good.

Most models, including OpenAI’s flagship GPT-4, spit out the first response they come up with. Sometimes it’s correct; sometimes it’s not. But the firm’s new models are trained to work through their answers step by step, breaking down tricky problems into a series of simpler ones. When one approach isn’t working, they try another. This technique, known as “reasoning” (yes—we know exactly how loaded that term is), can make this technology more accurate, especially for math, physics, and logic problems.

It’s also crucial for agents.

In December, Google DeepMind revealed an experimental new web-browsing agent called Mariner. In the middle of a preview demo that the company gave to MIT Technology Review, Mariner seemed to get stuck. Megha Goel, a product manager at the company, had asked the agent to find her a recipe for Christmas cookies that looked like the ones in a photo she’d given it. Mariner found a recipe on the web and started adding the ingredients to Goel’s online grocery basket.

Then it stalled; it couldn’t figure out what type of flour to pick. Goel watched as Mariner explained its steps in a chat window: “It says, ‘I will use the browser’s Back button to return to the recipe.’”

It was a remarkable moment. Instead of hitting a wall, the agent had broken the task down into separate actions and picked one that might resolve the problem. Figuring out you need to click the Back button may sound basic, but for a mindless bot it’s akin to rocket science. And it worked: Mariner went back to the recipe, confirmed the type of flour, and carried on filling Goel’s basket.

Google DeepMind is also building an experimental version of Gemini 2.0, its latest large language model, that uses this step-by-step approach to problem solving, called Gemini 2.0 Flash Thinking.

But OpenAI and Google are just the tip of the iceberg. Many companies are building large language models that use similar techniques, making them better at a whole range of tasks, from cooking to coding. Expect a lot more buzz about reasoning (we know, we know) this year.

—Will Douglas Heaven

3. It’s boom time for AI in science 

One of the most exciting uses for AI is speeding up discovery in the natural sciences. Perhaps the greatest vindication of AI’s potential on this front came last October, when the Royal Swedish Academy of Sciences awarded the Nobel Prize for chemistry to Demis Hassabis and John M. Jumper from Google DeepMind for building the AlphaFold tool, which can solve protein folding, and to David Baker for building tools to help design new proteins.

Expect this trend to continue next year, and to see more data sets and models that are aimed specifically at scientific discovery. Proteins were the perfect target for AI, because the field had excellent existing data sets that AI models could be trained on. 

The hunt is on to find the next big thing. One potential area is materials science. Meta has released massive data sets and models that could help scientists use AI to discover new materials much faster, and in December, Hugging Face, together with the startup Entalpic, launched LeMaterial, an open-source project that aims to simplify and accelerate materials research. Their first project is a data set that unifies, cleans, and standardizes the most prominent material data sets. 

AI model makers are also keen to pitch their generative products as research tools for scientists. OpenAI let scientists test its latest o1 model and see how it might support them in research. The results were encouraging. 

Having an AI tool that can operate in a similar way to a scientist is one of the fantasies of the tech sector. In a manifesto published in October last year, Anthropic founder Dario Amodei highlighted science, especially biology, as one of the key areas where powerful AI could help. Amodei speculates that in the future, AI could be not only a method of data analysis but a “virtual biologist who performs all the tasks biologists do.” We’re still a long way away from this scenario. But next year, we might see important steps toward it. 

—Melissa Heikkilä

4. AI companies get cozier with national security

There is a lot of money to be made by AI companies willing to lend their tools to border surveillance, intelligence gathering, and other national security tasks. 

The US military has launched a number of initiatives that show it’s eager to adopt AI, from the Replicator program—which, inspired by the war in Ukraine, promises to spend $1 billion on small drones—to the Artificial Intelligence Rapid Capabilities Cell, a unit bringing AI into everything from battlefield decision-making to logistics. European militaries are under pressure to up their tech investment, triggered by concerns that Donald Trump’s administration will cut spending to Ukraine. Rising tensions between Taiwan and China weigh heavily on the minds of military planners, too. 

In 2025, these trends will continue to be a boon for defense-tech companies like Palantir, Anduril, and others, which are now capitalizing on classified military data to train AI models. 

The defense industry’s deep pockets will tempt mainstream AI companies into the fold too. OpenAI in December announced it is partnering with Anduril on a program to take down drones, completing a year-long pivot away from its policy of not working with the military. It joins the ranks of Microsoft, Amazon, and Google, which have worked with the Pentagon for years. 

Other AI competitors, which are spending billions to train and develop new models, will face more pressure in 2025 to think seriously about revenue. It’s possible that they’ll find enough non-defense customers who will pay handsomely for AI agents that can handle complex tasks, or creative industries willing to spend on image and video generators. 

But they’ll also be increasingly tempted to throw their hats in the ring for lucrative Pentagon contracts. Expect to see companies wrestle with whether working on defense projects will be seen as a contradiction to their values. OpenAI’s rationale for changing its stance was that “democracies should continue to take the lead in AI development,” the company wrote, reasoning that lending its models to the military would advance that goal. In 2025, we’ll be watching others follow its lead. 

James O’Donnell

5. Nvidia sees legitimate competition

For much of the current AI boom, if you were a tech startup looking to try your hand at making an AI model, Jensen Huang was your man. As CEO of Nvidia, the world’s most valuable corporation, Huang helped the company become the undisputed leader of chips used both to train AI models and to ping a model when anyone uses it, called “inferencing.”

A number of forces could change that in 2025. For one, behemoth competitors like Amazon, Broadcom, AMD, and others have been investing heavily in new chips, and there are early indications that these could compete closely with Nvidia’s—particularly for inference, where Nvidia’s lead is less solid. 

A growing number of startups are also attacking Nvidia from a different angle. Rather than trying to marginally improve on Nvidia’s designs, startups like Groq are making riskier bets on entirely new chip architectures that, with enough time, promise to provide more efficient or effective training. In 2025 these experiments will still be in their early stages, but it’s possible that a standout competitor will change the assumption that top AI models rely exclusively on Nvidia chips.

Underpinning this competition, the geopolitical chip war will continue. That war thus far has relied on two strategies. On one hand, the West seeks to limit exports to China of top chips and the technologies to make them. On the other, efforts like the US CHIPS Act aim to boost domestic production of semiconductors.

Donald Trump may escalate those export controls and has promised massive tariffs on any goods imported from China. In 2025, such tariffs would put Taiwan—on which the US relies heavily because of the chip manufacturer TSMC—at the center of the trade wars. That’s because Taiwan has said it will help Chinese firms relocate to the island to help them avoid the proposed tariffs. That could draw further criticism from Trump, who has expressed frustration with US spending to defend Taiwan from China. 

It’s unclear how these forces will play out, but it will only further incentivize chipmakers to reduce reliance on Taiwan, which is the entire purpose of the CHIPS Act. As spending from the bill begins to circulate, next year could bring the first evidence of whether it’s materially boosting domestic chip production. 

James O’Donnell

The Download: what’s next for AI, and stem-cell therapies

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 AI in 2025

For the last couple of years we’ve had a go at predicting what’s coming next in AI. A fool’s game given how fast this industry moves. But we’re on a roll, and we’re doing it again.

How did we score last time round? Our four hot trends to watch out for in 2024 pretty much nailed it by including what we called customized chatbots (we didn’t know it yet, but we were talking about what everyone now calls agents, the hottest thing in AI right now), generative video, and more general-purpose robots that can do a wider range of tasks.

So what’s coming in 2025? Here are five picks from our AI team.

—James O’Donnell, Will Douglas Heaven & Melissa Heikkilä

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

Stem-cell therapies that work: 10 Breakthrough Technologies 2025

A quarter-century ago, researchers isolated powerful stem cells from embryos created through in vitro fertilization. These cells, theoretically able to morph into any tissue in the human body, promised a medical revolution. Think: replacement parts for whatever ails you. 

But stem-cell science didn’t go smoothly. Even though scientists soon learned to create these make-anything cells without embryos, coaxing them to become truly functional adult tissue proved harder than anyone guessed. Now, though, stem cells are finally on the brink of delivering. Read the full story.

Stem-cell therapies is one of our 10 Breakthrough Technologies for 2025, MIT Technology Review’s annual list of tech to watch. Check out the rest of the list, and cast your vote for the honorary 11th breakthrough—you have until 1 April!

The must-reads

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

1 Meta will no longer employ fact-checkers 
Instead, it will outsource fact verification to its users. (NYT $)
+ What could possibly go wrong!? (WSJ $)
+ The third party groups it employed say they were blindsided by the decision. (Wired $)

2 American workers are increasingly worried about robots
The wave of automation threatening their jobs is only growing stronger. (FT $)
+ Will we ever trust robots? (MIT Technology Review)

3 NASA isn’t sure how to bring Martian rocks and soil to Earth
It’s enormously expensive, and we can’t guarantee it’ll contain the first evidence of extraterrestrial life we hope it does. (WP $)
+ NASA is letting Trump decide how to do it…(NYT $)

4 Meta has abandoned its Quest Pro headset
What does this tell us about the state of consumer VR? Nothing good. (Fast Company $)
+ Turns out people don’t want to spend $1,000 on a headset. (Forbes $)

5 The man who blew up a Cybertruck used ChatGPT to plan the attack
He asked the chatbot how much explosive was needed to trigger the blast. (Reuters)

6 Hackers claim to have stolen a huge amount of location data
It’s a nightmare scenario for privacy advocates. (404 Media

7 A bitcoin investor has been ordered to disclose secret codes
Frank Richard Ahlgren III has been sentenced for tax fraud, and owes the US government more than $1 million. (Bloomberg $)

8 The world is far more interconnected than we realized
Networks of bacteria in the ocean are shedding new light on old connections. (Quanta Magazine)

9 The social web isn’t made for everyone 
Its constant updates are a nightmare for people with cognitive decline. (The Atlantic $)
+ How to fix the internet. (MIT Technology Review)

10 Is Elon Musk really one of the world’s top Diablo players? 👿
His ranking suggests he plays all day, every day. (WSJ $)

Quote of the day

“We have completely lost the plot.”

—A Meta employee laments the company’s decision to hire new board member Dana White, 404 Media reports.

The big story

How generative AI could reinvent what it means to play

June 2024

To make them feel alive, open-world games like Red Dead Redemption 2 are inhabited by vast crowds of computer-controlled characters. These animated people—called NPCs, for “nonplayer characters”—make these virtual worlds feel lived in and full. Often—but not always—you can talk to them.

After a while, however, the repetitive chitchat (or threats) of a passing stranger forces you to bump up against the truth: This is just a game. It’s still fun, but the illusion starts to weaken when you poke at it. 

It may not always be like that. Just as it is upending other industries, generative AI is opening the door to entirely new kinds of in-game interactions that are open-ended, creative, and unexpected. The game may not always have to end. 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.)

+ Why Feathers McGraw is cinema’s most sinister villain, bar none. ($)
+ Intrepid supper clubs sound terrible, but these other travel trends for 2025 are intriguing.
+ Steve Young is a literal pinball wizard, restoring 70-year old machines for the future generations to enjoy.
+ It’s time to pay our respects to a legend: Perry, the donkey who inspired Shrek’s four-legged sidekick, is no more. 🫏

Charts: Digital Habits of U.S. Consumers 2024

According to Deloitte’s “2024 Connected Consumer” study, most U.S. consumers — Gen Zs, Millennials, Gen Xs, older — spend more time interacting with people online than in person. Moreover, most feel that online interactions build meaningful connections, viewing digital relationships equal to face-to-face.

Deloitte’s study explores the digital habits of U.S. consumers. Conducted by the firm’s Center for Technology, Media & Telecommunications, the June 2024 survey gathered insights from nearly 4,000 U.S. consumers. It examined their use of tech devices and services.

According to the survey, 38% of respondents reported that they have either experimented with it or used generative AI for projects and tasks.

Respondents to the Deloitte study stated experimenting with gen AI increased their confidence in producing quality content and creativity.

Most generative AI users express interest in engaging with generative AI chatbots for various purposes.

TikTok ‘What’s Next’ Report: 10 Takeaways For Marketers via @sejournal, @MattGSouthern

TikTok has published its annual “What’s Next” trend report, which provides a glimpse into the emerging trends and strategies that will shape the coming year.

Here’s a breakdown of the key insights and takeaways from the report.

Top 10 Takeaways From TikTok’s Report

1. Collaboration

TikTok recommends brands partner with a wide range of creators to build more connections.

According to the report:

  • 2 out of 3 TikTok users appreciate when brands collaborate with a variety of creators.
  • Partnering with creators in different niches helps brands reach unique audiences.
    • Example: Supercell’s “Squad Busters” gaming campaign engaged both gamer and non-gamer creators, reaching 261 million people worldwide.

2. Authenticity

Authenticity in branding continues to drive success. The report highlights:

  • 40% of TikTok users find brands that showcase personality through relatable content more relevant.
  • 45% of social/video platform users say that feeling “understood” by a brand enhances relevance.
  • Strategies like street interviews, behind-the-scenes content, and storytelling can help build authenticity for your brand.

3. Diverse Perspectives

TikTok’s report shows brands find success amplifying diverse voices and perspectives.

Key findings include:

  • 81% of TikTok users say the platform introduces them to new topics and trends they didn’t know they liked.
  • Campaigns that encourage users to share their personal stories drive engagement.

4. Female Bonding

TikTok’s report highlights the rise of “girlhood” topics and women connecting around shared experiences.

The report reveals:

  • 72% of women on TikTok feel the platform makes it easy to connect with communities with a similar lived experience.
  • Today’s “girlhood” topics range from pay transparency and self-care to “ASMR” hairstyles and designer splurges.

5. AI-Fueled Creativity

TikTok users and brands are embracing AI.

The report highlights:

  • TikTok users are 1.4x more likely than users on other platforms to feel excited about Generative AI in ads.
  • Brands can use TikTok’s free tools to leverage AI.
    • Example: Lidl tapped into the trending #potaxie universe using AI tools to create new shopping experiences.

6. Value Of Comments

TikTok’s comment sections are becoming a tool for consumer-brand collaboration.

Key details include:

  • 68% of TikTok users believe brands should use comments to understand their audience better.
  • Real-time feedback enables brands to update products or launch new ones based on consumer suggestions.
    • Example: Wingstop upgraded its Hot Honey Rub flavor to a permanent menu item after demand surged in TikTok comments, increasing customer satisfaction.

7. Dynamic Storytelling

TikTok is driving a shift toward dynamic, multi-format storytelling.

According to the report:

  • 76% of TikTok users enjoy seeing a mix of images and videos.
    • Example: Travel creators use TikTok’s Image Ads to share destination tips in a simple, swipeable format, removing the pressure of capturing everything on video.

8. Redefining Milestones

TikTok is reshaping traditional milestones like homeownership and marriage into more personal, relatable goals.

Key data includes:

  • 50% of social and video platform users seek content that reflects their own lives.
    • Example: DoorDash’s #5to9 campaign encouraged users to share how side hustles help them achieve personal milestones and passions.

9. Accessibility

TikTok’s Symphony tools, like dubbing and custom avatars, are helping brands connect with global audiences through multilingual and accessible content:

  • Example: VietJet used AI-generated avatars with multilingual capabilities, increasing ad recall and consideration while maintaining cost efficiency.

10. Emerging Communities

TikTok’s niche communities continue to shape the platform’s identity and cultural relevance.

Popular micro-communities include:

  • #WomenInSTEM – Highlighting women in traditionally male-dominated fields.
  • #Granfluencers – Older generations engaging with audiences of all ages.
  • #CorporateBaddies – Celebrating confidence and style in corporate life.
  • #Delulu – A lighthearted trend about embracing optimism, even if unrealistic.

In Summary

TikTok’s latest report shows it’s no longer just a place for dance videos. Success here depends on real engagement, working with diverse creators, and staying flexible with trends.

The platform’s pushing for actual conversations in comments rather than one-way marketing. While AI and new features are useful tools, authentic connections matter most.

For anyone planning their 2025 strategy, these community and engagement trends are worth watching.


Featured Image: Screenshot from TikTok ‘What’s Next’ Trend Report, January 2025. 

How Rendering Affects SEO: Takeaways From Google’s Martin Splitt via @sejournal, @MattGSouthern

Google has released a new episode of its Search Central Lightning Talks, which focuses on rendering strategies, an important topic for web developers.

In this video, Martin Splitt, a Developer Advocate at Google, explains the intricacies of different rendering methods and how these approaches impact website performance, user experience, and search engine optimization (SEO).

This episode also connects to recent discussions about the overuse of JavaScript and its effects on AI search crawlers, a topic previously addressed by Search Engine Journal.

Splitt’s insights offer practical guidance for developers who want to optimize their websites for modern search engines and users.

What Is Rendering?

Splitt begins by explaining what rendering means in the context of websites.

He explains rendering in simple terms, saying:

“Rendering in this context is the process of pulling data into a template. There are different strategies as to where and when this happens, so let’s take a look together.”

In the past, developers would directly edit and upload HTML files to servers.

However, modern websites often use templates to simplify the creation of pages with similar structures but varying content, such as product listings or blog posts.

Splitt categorizes rendering into three main strategies:

  1. Pre-Rendering (Static Site Generation)
  2. Server-Side Rendering (SSR)
  3. Client-Side Rendering (CSR)

1. Pre-Rendering

Screenshot from: YouTube.com/GoogleSearchCentral, January 2025.

Pre-rendering, also known as static site generation, generates HTML files in advance and serves them to users.

Splitt highlights its simplicity and security:

“It’s also very robust and very secure, as there isn’t much interaction happening with the server, and you can lock it down quite tightly.”

However, he also notes its limitations:

“It also can’t respond to interactions from your visitors. So that limits what you can do on your website.”

Tools such as Jekyll, Hugo, and Gatsby automate this process by combining templates and content to create static files.

Advantages:

  • Simple setup with minimal server requirements
  • High security due to limited server interaction
  • Robust and reliable performance

Disadvantages:

  • Requires manual or automated regeneration whenever content changes
  • Limited interactivity, as pages cannot dynamically respond to user actions

2. Server-Side Rendering (SSR): Flexibility with Trade-Offs

Screenshot from: YouTube.com/GoogleSearchCentral, January 2025.

Server-side rendering dynamically generates web pages on the server each time a user visits a site.

This approach enables websites to deliver personalized content, such as user-specific dashboards and interactive features, like comment sections.

Splitt says:

“The program decides on things like the URL, visitor, cookies, and other things—what content to put into which template and return it to the user’s browser.”

Splitt also points out its flexibility:

“It can respond to things like a user’s login status or actions, like signing up for a newsletter or posting a comment.”

But he acknowledges its downsides:

“The setup is a bit more complex and requires more work to keep it secure, as users’ input can now reach your server and potentially cause problems.”

Advantages:

  • Supports dynamic user interactions and tailored content
  • Can accommodate user-generated content, such as reviews and comments

Disadvantages:

  • Complex setup and ongoing maintenance
  • Higher resource consumption, as pages are rendered for each visitor
  • Potentially slower load times due to server response delays

To alleviate resource demands, developers can use caching or proxies to minimize redundant processing.

3. Client-Side Rendering (CSR): Interactivity with Risks

Screenshot from: YouTube.com/GoogleSearchCentral, January 2025.

Client-side rendering uses JavaScript to fetch and display data in the user’s browser.

This method creates interactive websites and web applications, especially those with real-time updates or complex user interfaces.

Splitt highlights its app-like functionality:

“The interactions feel like they’re in an app. They happen smoothly in the background without the page reloading visibly.”

However, he cautions about its risks:

“The main issue with CSR usually is the risk that, in case something goes wrong during transmission, the user won’t see any of your content. That can also have SEO implications.”

Advantages:

  • Users enjoy a smooth, app-like experience without page reloads.
  • It allows features like offline access using progressive web apps (PWAs).

Disadvantages:

  • It depends heavily on the user’s device and browser.
  • Search engines may have trouble indexing JavaScript-rendered content, leading to SEO challenges.
  • Users might see blank pages if JavaScript fails to load or run.

Splitt suggests a hybrid approach called “hydration ” to improve SEO.

In this method, the server initially renders the content, and then client-side rendering handles further interactions.

Screenshot from: YouTube.com/GoogleSearchCentral, January 2025.

How to Choose the Right Rendering Strategy

Splitt points out that there is no one-size-fits-all solution for website development.

Developers should consider what a website needs by looking at specific factors.

Splitt says:

“In the end, that depends on a bunch of factors, such as what does your website do? How often does the content change? What kind of interactions do you want to support? And what kind of resources do you have to build, run, and maintain your setup?”

He provides a visual summary of the pros and cons of each approach to help developers make informed choices.

Screenshot from: YouTube.com/GoogleSearchCentral, January 2025.

Connecting the Dots: Rendering and JavaScript Overuse

This episode continues earlier discussions about the drawbacks of excessive JavaScript use, especially regarding SEO in the age of AI search crawlers.

As previously reported, AI crawlers like GPTBot often have difficulty processing websites that rely heavily on JavaScript, which can decrease their visibility in search results.

To address this issue, Splitt recommends using server-side rendering or pre-rendering to ensure that essential content is accessible to both users and search engines. Developers are encouraged to implement progressive enhancement techniques and to limit JavaScript usage to situations where it genuinely adds value.

See the video below to learn more about rendering strategies.


Featured Image: Screenshot from: YouTube.com/GoogleSearchCentral, January 2025

New Study Highlights Martech Challenges To Reach Target Audiences via @sejournal, @gregjarboe

A new study conducted by Forrester Consulting on behalf of TransUnion has revealed significant challenges faced by many marketing teams.

These challenges primarily stem from the complexity of their marketing technology (martech) stacks.

The study found that a substantial 70% of marketing leaders struggle to effectively identify and reach their target audiences across various channels.

This difficulty arises from the fragmented nature of their martech systems, often involving a multitude of tools.

Two-thirds of the marketers surveyed reported using 16 or more martech solutions, significantly increasing the complexity of their operations.

This complexity presents several critical obstacles for marketing teams. These challenges include difficulties in personalizing customer journeys, scaling marketing efforts effectively, integrating AI capabilities, and ultimately, wasting valuable marketing budgets.

In a press release, Matt Spiegel, executive vice president and head of TruAudience marketing solutions at TransUnion, said,

“Marketing leaders know what they need to do—they’re just stuck juggling 16 or more martech solutions, creating overwhelming complexity.”

He added,

“It’s not about changing your stack but leveraging identity and data tools to connect these disconnected tools. Without that connection, inefficiencies become significant concerns. We hear from teams every day struggling to bring it all together. But when they do, the difference is massive.”

However, the research also highlights a promising solution: The utilization of identity resolution tools. By integrating their fragmented data sets through these tools, organizations can significantly improve their marketing outcomes.

The study revealed that organizations leveraging identity resolution are more likely to meet or exceed their customer experience and understanding goals, improve customer insights, and make more data-driven decisions.

What Else Can Marketing Leaders Do?

Beyond identity resolution, marketing leaders can employ several strategies to effectively identify and reach their target audiences across various channels.

Data-driven segmentation plays a crucial role. Instead of relying solely on demographics, marketers should utilize a wider range of data points, such as purchase history, website behavior, social media engagement, and interests, to create highly targeted audience segments.

Customer data platforms (CDPs) can be instrumental in this process, as they unify customer data from diverse sources, providing a single, comprehensive view of each individual, which enables more precise segmentation and personalized messaging.

Omnichannel marketing is essential for a seamless customer experience. Marketers should ensure consistent messaging and experiences across all touchpoints, including email, social media, website, mobile apps, and physical stores.

Utilizing cross-channel retargeting, where customers who have interacted with the brand on one channel are reached through targeted ads on other platforms, can significantly enhance reach and engagement.

Search Engine Optimization (SEO) offers strong tactics for marketing leaders to identify and reach their target audiences such as conducting audience research and learning more about the audience that searches for a keyword, uses words in their bio, or visits a website.

Additionally, focusing on high-quality, original content – this content should address the specific needs and interests of the target audience while incorporating relevant keywords naturally. Lastly, prioritizing user experience (UX), not just for Google, but also to satisfy the user.

Content marketing is another powerful tool for marketing leaders to embrace. This requires conducting in-depth audience research and developing buyer personas and gathering direct feedback from their target audience.

Marketers can implement a content pillar strategy that creates in-depth content pieces and cluster supporting content around them. Then  distributes and promotes content effectively, whilst leveraging social media, email marketing, and community building.

Social media marketing offers valuable insights and engagement opportunities. Marketing leaders should conduct in-depth audience research with advanced targeting options – go beyond demographics and leverage social listening tools to understand audience needs and preferences.

They should create engaging content combined with paid advertising and develop shareable content, run targeted ads, and collaborate with influencers.

Marketing leaders need to build and engage with online communities and actively participate in conversations, host contests, and run live Q&A sessions. Lastly, leveraging influencer marketing by partnering with influential figures within the target audience can amplify reach and build trust.

Digital Public Relations (PR) ensures promotion online to reach target audiences such as building relationships with relevant media and journalists. This involves identifying and cultivating relationships with key media outlets and journalists who cover topics relevant to their target audience. And, creating compelling and newsworthy stories with stories relevant to the target audience’s interests that offer unique insights or perspectives.

Monitoring online conversations and media mentions allows for understanding brand perception, addressing concerns, and identifying engagement opportunities.

Paid advertising strategies can effectively expand reach, whilst programmatic advertising allows for highly targeted campaigns across various channels.

Finally, leveraging Customer Relationship Management (CRM) systems is crucial. By effectively utilizing the customer data stored within their CRM systems, marketers can gain valuable insights into customer interactions, preferences, and purchase history.

This data can then be used to personalize email campaigns, website experiences, and other marketing messages, fostering stronger customer relationships and driving conversions.

See Your Customers Clearly

The study emphasizes the critical role of identity resolution in streamlining martech operations and achieving better marketing results.

By connecting the dots between their various systems, marketers can gain a clearer understanding of their customers, deliver more personalized experiences, and ultimately, achieve greater success in their marketing endeavors.

Spiegel concluded,

“At the end of the day, it’s about being able to see your customers clearly. When you connect the dots between systems, you’re creating better experiences for people. And that’s what drives results.”

By implementing the strategies above in conjunction with identity resolution, marketing leaders can gain a deeper understanding of their target audiences, deliver more relevant and personalized messages, and ultimately achieve greater success in their marketing campaigns.

About The Survey

Forrester Consulting conducted a survey on behalf of TransUnion in the fourth quarter of 2024 to assess the current state of martech and identity resolution programs within US enterprises. This survey gathered insights from 325 marketing technology decision-makers.

The survey focused on understanding the marketing goals and challenges faced by these decision-makers and was conducted over a two-month period, commencing in November 2024 and concluding in December 2024.

More resources: 


Featured Image: Cagkan Sayin/Shutterstock

How To Get Buy-In From Stakeholders Using Overlooked Soft Skills

Getting buy-in for projects either at work, or from an organization can be difficult, but for SEO projects, it can be even more challenging as it is not always easy to tie the SEO work to results.

To improve buy-in, looking to soft skills outside of SEO can make the difference.

If we know our soft skills and and what our strengths are, then we can understand others and be able to communicate with them better. This then helps when we want to get buy-in for projects, including SEO.

In this article, we go through some key areas to address to help you get buy-in at your company such as communication and the ability to cultivate trust.

Soft Skills

We spend a lot of time improving our technical SEO or working on keyword research and reporting, especially getting up to speed with Google Analytics 4 (GA4), but how much time do we spend on improving our soft skills? Do we know what our strengths are?

When working in SEO and with the wider team, soft skills become important.

Soft skills, also called interpersonal skills, are non-technical and impact your performance not only at work but also in your personal life.

They include how to manage your time, communicate with others, resolve conflict, and listen to others, to name just a few.

The CliftonStrengths helps individuals focus on what they are naturally good at. It helps assess your soft skills, including how empathetic you are, which is a great leadership and team player skill.

Empathy

Tom Critchlow said getting buy-in requires executive empathy. He explained that “executive presence is the art of seeing the problem from someone else’s point of view.”

We need to make the stakeholders, such as the CEO or CFO, want to care about SEO and how it can help them achieve their goals and the broader business objectives.

Empathy is putting oneself in another person’s shoes and seeing it from their side. We should apply this not only to the main stakeholders but to the development team or design team and others who will become your biggest allies.

Trust

Empathy is a key part of the trust triangle, and it also includes authenticity and logic.

It takes a long time to build trust, and when it is lost, most of the time, it can be traced back to a breakdown of one of them.

Your colleagues and the key stakeholders will trust you when:

  • They feel you care about them, which is empathy.
  • They have faith in your competence, which is the logic (and why it is important to show results from SEO work clearly)
  • They believe they are interacting with the real you, which is authenticity.
Trust TriangleScreenshot from hbr.org/2020/05/begin-with-trust, November 2024

Reporting

If we want the stakeholders to allocate more budget next quarter or even next year to SEO, review the previous reports you and your team have worked on and have shared with them over the year.

What reports have they read? Which ones have they ignored?

Make sure that you get feedback monthly or at least quarterly on what reports the stakeholders find useful and which metrics they want to see more of in the future.

Nobody wants to see pages of reports – the stakeholders are busy people. You should focus on reporting on the most important KPIs to them.

Some people with minimal time to fully understand SEO (such as the CEO and CFO) may think organic traffic is a given, and less investment would not necessarily mean less traffic.

Therefore, it is always important to show what the SEO team did and provide clear results.

For example, tell them “we created the content strategy and built out the blog on X topics, and this created an uplift in traffic and revenue by X%”. Showing the direct impact of SEO helps justify the SEO team and their work.

KISS

KISS stands for Keep It Simple, Stupid. Although this framework is used mainly in the design space, it can also be applied to the wider business.

It has been used in many companies, like Apple with the iPhone. Keeping something focused and simple is difficult.

We can also apply the KISS principle to SEO and get buy-in by removing the jargon that comes with it – just focusing on what the impact will be.

For example, instead of saying that we have a lot of 404 status codes when products are out of stock, show the stakeholders that the product pages return an empty page. There is nothing on the page to keep the user there.

Show the traffic to some of these key product pages, and when they are out of stock, calculate how much revenue is lost.

KISS goes back to the reporting element. Keep the reports simple and show only what the stakeholders value as important. Don’t include tracking of hundreds of keywords if they are not driving clicks.

Focus on the main terms that generate clicks and impressions in Google Search Console. Use the events in GA4 to show how many conversions the site and the pages have generated.

Open Line Of Communication

Make sure you speak to the stakeholders throughout the year, not just when reports are due or when you need more budget.

Share with them news such as the Google updates or any positive impact from the SEO work that has meant revenue and conversions are up.

Google updates are still important to share whether your site has been affected. It is better for the stakeholders to find out about these updates from the SEO team than from the client services team or those who do not work in SEO.

Other key elements to share are some insights from conferences. What are some initiatives they have done that have been successful? Were some of these the same initiatives you wanted to implement, but there was resistance?

Is there a company newsletter you can feature, or is there a marketing newsletter you can contribute to? Share these with the stakeholders.

If you or the team write for any third-party sites, share these articles internally.

Alternatively, if there was a webinar the SEO team took part in that had a lot of views and likes, send this to the stakeholders.

Integrate SEO Within The Company

Make SEO everyone’s responsibility.

Highlight in the meetings or conversations with stakeholders that doing a site migration, changing the homepage of the site, or amending the content management system (CMS) is not just the work of the SEO team. It is the responsibility of the whole company.

For example, a site migration cannot be done on a Friday evening, or the homepage should not be drastically changed during sales periods.

SEO should never be seen as an add-on and should be an integrated part of the marketing strategy.

Unfortunately, in many organizations, the SEO strategy can be outside the product and outside the marketing strategy. Create allies within the marketing and product team. Show them how SEO impacts and affects their KPIs and how SEO can help improve them.

Creating allies comes back to working on your soft skills.

We can still have those “water cooler moments” or informal chats even if we are remote working. Ask them how their weekend was, what their hobbies are, do they have family nearby.

In these informal chats, you may also find out their pain points. What are they struggling with? How can SEO help them?

When you start building your KPIs together and helping one another, this builds teamwork outside of your immediate team and helps build more trust.

Competitor Analysis

Not many are happy when their direct competitors beat them in revenue and traffic.

Competitor or market analysis always helps to show some of what others are doing. We can see an estimate of the traffic, the paid ads they are running, and the terms they are ranking for using third-party tools.

However, context should not be underestimated. It may be that the drop in traffic and revenue you are experiencing on your site, is not just your site. Some industries may have seen a dip, while others have seen an increase.

For example, during COVID-19, travel and hospitality saw a drop, whereas Zoom and online applications and games saw their sales increase.

It is now becoming more difficult to track customers, due to AI. And this won’t get easier next year as the search landscape will continue to change. Therefore, always remember to include the context of the industry when reporting on how your site is performing.

Show what others are doing in the market, including new initiatives. This will help build and keep the trust of the key stakeholders.

Mastering Soft Skills In Securing SEO Buy-In

Soft skills should never be underestimated when trying to get buy-in for projects. Understand the needs of your stakeholders and the wider team.

Spend time building rapport with them and learning about their challenges and how SEO and their team can work together to achieve more than if each one worked independently.

However, if you find yourself in a position where nobody is paying attention to the SEO, plan to start testing different elements of what they want to change with the website, for example, changing the categories or changing the home page.

Use a tool such as SEO Testing that allows you to test different URLs; you can do split testing and time-based testing. When you have the data, present it to the stakeholders to show them the results.

SEO is an industry where it is hard to get buy-in and harder to get the budget approved. But work on your soft skills – empathy and trust – to build a team that believes in SEO and supports you 100%.

More resources:


Featured Image: Marciobnws/Shutterstock

9 Actionable Steps to Improve Your Google Rankings via @sejournal, @ChuckPrice518

Many things have changed in SEO since Google first came online in 1998.

Today, with personalized results influenced by user behavior, location, and device, standing out in search engine results is more challenging than ever.

The one thing that hasn’t changed is this: Your organic traffic is directly tied to your search engine ranking positions (SERPs).

If your keywords rank at or near the top of Google’s search results, boundless traffic will follow. Conversely, a lack of visibility in the SERPs will leave your site struggling to attract organic traffic, regardless of its quality.

In this guide, I’ll break down actionable steps to boost your rankings.

How Long Does It Take To Improve Google Rankings?

I’m going to go out on a limb here and give you the definitive answer, “It depends.”

While I recognize this is frustrating and seems like a cop-out, it’s the truth.

SEO doesn’t happen in a vacuum and every situation offers a unique set of variables. Skill, budget, the level of competition, and how your website stacks up can all play a role in how quickly one can move the dial.

Google’s John Mueller has said it can take “several hours to several weeks” for Google to index new or updated content. However, even with drastic changes, it can take months – or even a year – to see a significant impact.

Mueller recommends:

  • Preventing server overload by making your server and website faster.
  • Prominently linking to new pages.
  • Avoiding unnecessary URLs like category page filters.
  • Using sitemaps and the URL inspection tool to speed up indexing.

The best way to rank faster? Create high-quality, useful content that searchers will love. In Mueller’s words, make your site “fantastic.”

1. Start With A Rock-Solid Technical & UX Foundation

Poor website structure and information architecture can doom even the best SEO campaigns. If your website is difficult for users to navigate and Google to crawl, your rankings are likely to suffer.

Building a solid technical and UX foundation ensures both search engines and users find what they’re looking for.

Key Technical SEO and UX Priorities:

  • Streamline Navigation: Make sure users can find any page on your site within three clicks.
  • Secure Your Site: Use HTTPS to build trust and protect user data.
  • Improve Load Times: Compress images, leverage browser caching, and reduce code and JavaScript bloat to deliver a fast-loading site across all devices.
  • Fix Errors: Use tools like Google Search Console to identify crawl issues, broken links, and other barriers that prevent Google from indexing your pages effectively.

While Core Web Vitals (e.g., LCP, FID, and CLS) are important indicators of performance, don’t get bogged down chasing perfect scores. A site that’s technically sound and provides a great user experience will naturally outperform competitors in the long run.

Actionable Recommendation

Audit your website using Google Search Console’s coverage and crawl stats reports. Identify and fix three major issues this week, such as broken links, slow-loading pages, mobile-friendliness problems, Core Web Vitals issues, or indexing errors.

Recheck crawl stats in two weeks to confirm improvements and ensure Google can efficiently index your site.

2. Deliver Helpful, Relevant, E-E-A-T-Oriented Content

High-quality content that embodies Experience, Expertise, Authoritativeness, and Trustworthiness (E-E-A-T) is a cornerstone of modern SEO.

Google rewards content that satisfies user intent and offers value, so prioritize crafting pieces that answer real questions and solve problems.

Google-Friendly Content Tips

  • Write Engaging Titles: Use concise, compelling headlines between 135–159 characters that resonate with your audience and highlight key benefits.
  • Craft Meta Descriptions: Write unique, engaging descriptions with naturally incorporated keywords, steering clear of auto-generated alternatives.
  • Leverage Expert Sources: Enhance your content with reputable citations, case studies, or insights from industry leaders to build authority.

Actionable Recommendation

Choose your top 3 underperforming URLs in terms of CTR or average position in Google Search Console.

Update each with a fresh expert citation or new insights aligned with search intent. Add a new section or FAQ to deepen the content. Track CTR and engagement metrics over the next four weeks to measure improvement.

3. Optimize Your Pages For Google

Making your pages engaging and search-engine-friendly requires optimizing both your content and the way it’s structured.

This involves crafting concise, descriptive titles, leveraging meta descriptions, and strategically using internal links to enhance user navigation and SEO performance.

Key Optimization Tactics

1. Craft Unique, Engaging Titles And Meta Descriptions

  • Titles under 60 characters or approximately 600 pixels in width ensure full display in SERPs. Prioritize clarity and relevance to attract clicks and align with user intent.
  • Write meta descriptions that align with search intent and include primary keywords without overstuffing.
  • Avoid auto-generated descriptions; manually craft compelling snippets.

2. Use Internal Linking Strategically

  • Add links between relevant pages to guide users and improve crawlability.
  • Use descriptive anchor text to clarify the destination page’s content. For example, instead of “click here,” use “compare digital marketing tools.”
  • Avoid excessive links on a single page to maintain clarity and avoid overwhelming users.

3. Focus On Content Structure And Readability

  • Use clear headings (H1, H2, H3) to organize content for users and search engines.
  • Break up text with bullet points, numbered lists, and visuals to improve readability.
  • Include related links for deeper dives into the subject matter.

Actionable Recommendation

Identify three underperforming pages with high impressions and low CTR using Google Search Console. Rewrite their meta descriptions to align with searcher intent, incorporating primary keywords naturally.

Add at least one internal link to each of these pages from related high-traffic content, using descriptive anchor text. Monitor changes in CTR and engagement metrics (e.g., bounce rate) over the next four weeks to assess improvements.

4. Implement Schema Markup For Rich Results

Schema markup helps search engines understand your content better and enhances your visibility with rich results like star ratings, pricing details, and more.

By structuring your data, you make it easier for search engines to deliver relevant information to users directly in the search results.

Sample Schema Markup

Below is an example of Product schema markup for an ecommerce website:

{
  "@context": "https://schema.org/",
  "@type": "Product",
  "name": "Organic Cotton T-Shirt",
  "image": "https://yourdomain.com/images/organic_cotton_shirts.jpg",
  "description": "A comfortable, eco-friendly organic cotton shirt.",
  "brand": "GreenThreads",
  "offers": {
    "@type": "Offer",
    "priceCurrency": "USD",
    "price": "19.99",
    "availability": "https://schema.org/InStock",
    "url": "https://yourdomain.com/organic_cotton_t-shirts"
  },
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.5",
    "reviewCount": "55"
  }
}

This code includes essential product details such as name, image, description, pricing, availability, and customer ratings, making it eligible for rich search results.

Choose The Right Schema Type

Schema.org provides various schema types designed for specific content formats, including:

  • Article Schema: Tailored for blog posts, news articles, and other written content.
  • FAQ Schema: Perfect for presenting frequently asked questions in an organized, search-friendly way.
  • Event Schema: Ideal for highlighting events with dates, locations, and ticketing details.
  • LocalBusiness Schema: Boosts visibility for businesses with physical locations by including address, hours, and contact info.
  • Recipe Schema: For recipe content, showcasing ingredients, cooking steps, and reviews.

Selecting the appropriate schema type for your content ensures better alignment with user search intent and increases your chances of appearing in rich search results.

How To Implement Schema Markup

Benefits Of Schema Markup

  • Enhanced Search Visibility: Stand out with rich snippets (e.g., stars, prices, and FAQs).
  • Higher Click-Through Rates (CTR): Well-structured results attract more attention.
  • Improved User Experience: Users get key information at a glance without clicking through multiple pages.

Actionable Recommendation

Select one key product or service page and implement schema markup using JSON-LD format. Validate the code using Google’s Rich Results Test. Track impressions, CTR, and click performance in Google Search Console over two weeks.

Aim for at least a 1% CTR improvement, which can translate to 100+ additional clicks if the page receives 10,000 monthly impressions.

If the initial implementation is successful, expand schema markup to five additional pages over the next month, focusing on high-traffic content.

5. Optimize For Mobile-First Indexing

Google now prioritizes the mobile version of your website for indexing and ranking. Ensuring your site is mobile-friendly is no longer optional – it’s essential for SEO success.

Key Strategies for Mobile Optimization:

  • Responsive Design: Use responsive design to ensure your site adjusts seamlessly across all devices.
  • Page Speed: Optimize loading times for mobile users by compressing images, enabling caching, and using a content delivery network (CDN).
  • Mobile-Friendly Navigation: Simplify navigation menus for smaller screens and prioritize essential links.
  • Clickable Elements: Ensure buttons and links are adequately spaced for touch interactions.

Actionable Recommendation

Use Google Search Console’s Mobile Usability report to identify pages with issues such as “Text too small to read” or “Clickable elements too close together.”

Focus on fixing three key problems, like adjusting text size, improving button spacing, or optimizing navigation. Enhance performance further by compressing images and enabling lazy loading.

Monitor bounce rates and mobile impressions in Google Analytics over the next four weeks, aiming for a 5% reduction in bounce rates and improved engagement.

6. Build High-Quality Backlinks

Backlinks are still critical for SEO, but the emphasis should be on quality over quantity. Links from reputable websites signal to Google that your site provides authoritative and valuable content.

That said, building backlinks isn’t an overnight win – it’s a long-term game that requires patience and consistent effort.

Strategies For Earning Quality Backlinks

  • Guest Blogging: Write insightful, high-value guest posts for well-regarded websites in your niche.
  • Content Outreach: Share your top-performing guides, studies, or resources with influencers or industry blogs.
  • Broken Link Building: Find broken links on authoritative websites and suggest your content as a replacement.
  • Digital PR Campaigns: Generate buzz around your brand or products to earn backlinks naturally from reputable publications.

Actionable Recommendation

Identify three high-authority websites in your niche using a tool like Ahrefs or Semrush.

Develop a targeted outreach plan to pitch high-value content, such as a guest post or a link to an existing guide or resource on your site.

Focus on offering genuine value to their audience. Track new backlinks acquired over the next three months using Google Search Console or a backlink monitoring tool, and measure their impact on referral traffic and rankings.

Disclaimer

Backlink acquisition is a marathon, not a sprint. Focus on creating high-quality content that naturally earns links, and steer clear of black-hat tactics – they’ll land you in hot water with Google.

7. Maintain Content Freshness

Google rewards websites that regularly update their content, as it signals ongoing relevance and authority. Stale or outdated information can damage your credibility and rankings.

Tips For Keeping Content Fresh

  • Update Statistics: Replace old data with the latest industry figures, case studies, or reports.
  • Add New Insights: Incorporate recent trends, expert quotes, or emerging tools.
  • Expand Content: Add multimedia elements like images, infographics, or videos to enrich your content.
  • Repurpose Content: Transform older posts into alternative formats like podcasts, webinars, or downloadable guides.

Actionable Recommendation

Review your top five performing pages in Google Analytics. Refresh two pages by adding updated data, insights, or visuals.

Track engagement metrics like bounce rate and time on page over the next four weeks, and aim for a 10% improvement in these key performance indicators (KPIs).

8. Enhance Local SEO For Businesses

For local businesses, being visible in local search results can make or break your bottom line. Optimizing your Google Business Profile (GBP) and using location-specific keywords are essential steps.

Key Local SEO Strategies

  • Optimize Your GBP: Ensure all business details – address, hours, photos, and categories – are accurate and compelling.
  • Incorporate Location-Specific Keywords: Add phrases like “best [service] in [city]” to your website’s content and meta descriptions.
  • Encourage Reviews: Proactively ask satisfied customers to leave positive reviews on Google and other platforms.

Actionable Recommendation

Review your Google Business Profile. Add or update three photos, refine your category selection, and ensure your business hours are accurate.

Identify three location-specific keywords and incorporate them into your homepage or a key service page. Monitor local impressions in GBP Insights over two weeks to measure impact.

9. Optimize For International Audiences

If you serve users in multiple countries, international SEO ensures your content resonates with diverse languages, regions, and cultures.

Key Strategies for International SEO

  • Use hreflang Tags: Tell search engines which language and regional version of a page to show users.
  • Localize Content: Translate text into local languages and adapt it for cultural nuances (e.g., currency, measurements).
  • Conduct Regional Keyword Research: Use tools like Google Keyword Planner to uncover location-specific terms.
  • Optimize Hosting and Domains: Use country-specific domains (e.g., example.co.uk) or host your site in your target regions for faster loading times.

Actionable Recommendation

Identify your top international markets in Google Analytics. Implement hreflang tags for at least one language or region, and translate your highest-performing page. Monitor international traffic in Google Analytics over three months to track growth.

Summary: Fundamentals Remain The Same

SEO doesn’t have to feel overwhelming. Start by implementing one or two actionable steps this week, such as refreshing content, updating your GBP, or optimizing a page for international audiences.

Use tools like Google Analytics and Search Console to track your progress over the next month and adjust as needed.

SEO may evolve, but the fundamentals remain the same.

By focusing on key strategies like delivering great content, optimizing for mobile and local audiences, and building high-quality backlinks, you can position your site for long-term success.

Make incremental improvements, track your metrics, and adapt based on what works. With a consistent approach, you’ll see your rankings, traffic, and engagement improve over time.

More resources: 


Featured Image: KT Stock photos/Shutterstock

Study: 40% Of Consumers Support Brand Trend-Jumping via @sejournal, @MattGSouthern

Social media influences modern culture and consumer behavior, so brands are pressured to stay relevant.

The 2025 Sprout Social Index reveals that 40% of consumers find it “cool” when brands engage in viral trends, while 33% consider it “embarrassing.”

Additionally, 27% of respondents say that participating in trends is only effective within 24-48 hours.

This data highlights the balance brands must maintain when engaging with online culture.

Generational Divide on Trend Participation

People’s views on brands that follow trends vary by generation. Gen Z, most active on TikTok and Instagram, often supports trend-following brands, while Boomers tend to disapprove.

This difference shows that brands need to understand their audiences.

Younger consumers may appreciate brands that engage in trends, as long as it feels genuine. In contrast, older consumers may require a more cautious approach to avoid alienation.

Success requires more than just being timely; authenticity and relatability are key.

Jumping on a viral meme or hashtag can seem forced if it lacks a clear connection to the brand. Brands should understand the cultural context of the trends they join.

A Balanced Approach to Trends

Engaging in trends can attract audiences and show cultural awareness, but it’s not a one-size-fits-all solution.

Data reveals that consumers value originality and consistent engagement just as much as aligning with trends.

Posting solely to maintain visibility or jumping on every viral moment can weaken a brand’s identity and fail to connect with its audience.

Instead, brands should adopt a balanced approach, which includes:

  • Selective Participation: Identify trends that align with the brand’s values, voice, and audience interests.
  • Cultural Awareness: Understand the deeper cultural significance of trends to ensure participation feels organic rather than opportunistic.
  • Original Content: Enhance trend-based content with original, human-centric storytelling that builds trust and loyalty over time.

What This Means For Marketers

Joining trends can help connect with audiences, but it needs to be done carefully. Brands should consider the benefits of engaging with a trend versus the risk of seeming fake or out of touch.

To be successful, marketers should:

  1. Focus on Relevant Trends: Use social listening tools to find conversations and trends that matter to their target audience.
  2. Act Fast: Create quick workflows to take advantage of trends within 24 to 48 hours.
  3. Stay True to Their Identity: Make sure all content, whether related to trends or not, reflects the brand’s core values and personality.

Looking Ahead

The 2025 Sprout Social Index shows how consumers feel about participating in trends.

About 40% support trend participation, while 33% oppose it. This divide highlights the need for careful decision-making.

Brands that value authenticity, cultural understanding, and quick actions will better connect with trends without losing their identity or driving away their audience.

Marketers must consider their audience’s preferences and online environment. When done correctly, joining trends can make a brand more relevant and help create lasting customer relationships.


Featured Image: Roman Samborskyi/Shutterstock

What’s next for our privacy?

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.

Every day, we are tracked hundreds or even thousands of times across the digital world. Cookies and web trackers capture every website link that we click, while code installed in mobile apps tracks every physical location that our devices—and, by extension, we—have visited. All of this is collected, packaged together with other details (compiled from public records, supermarket member programs, utility companies, and more), and used to create highly personalized profiles that are then shared or sold, often without our explicit knowledge or consent. 

A consensus is growing that Americans need better privacy protections—and that the best way to deliver them would be for Congress to pass comprehensive federal privacy legislation. While the latest iteration of such a bill, the American Privacy Rights Act of 2024, gained more momentum than previously proposed laws, it became so watered down that it lost support from both Republicans and Democrats before it even came to a vote. 

There have been some privacy wins in the form of limits on what data brokers—third-party companies that buy and sell consumers’ personal information for targeted advertisements, messaging, and other purposes—can do with geolocation data. 

These are still small steps, though—and they are happening as increasingly pervasive and powerful technologies collect more data than ever. And at the same time, Washington is preparing for a new presidential administration that has attacked the press and other critics, promised to target immigrants for mass deportation, threatened to seek retribution against perceived enemies, and supported restrictive state abortion laws. This is not even to mention the increased collection of our biometric data, especially for facial recognition, and the normalization of its use in all kinds of ways. In this light, it’s no stretch to say our personal data has arguably never been more vulnerable, and the imperative for privacy has never felt more urgent. 

So what can Americans expect for their personal data in 2025? We spoke to privacy experts and advocates about (some of) what’s on their mind regarding how our digital data might be traded or protected moving forward. 

Reining in a problematic industry

In early December, the Federal Trade Commission announced separate settlement agreements with the data brokers Mobilewalla and Gravy Analytics (and its subsidiary Venntel). Finding that the companies had tracked and sold geolocation data from users at sensitive locations like churches, hospitals, and military installations without explicit consent, the FTC banned the companies from selling such data except in specific circumstances. This follows something of a busy year in regulation of data brokers, including multiple FTC enforcement actions against other companies for similar use and sale of geolocation data, as well as a proposed rule from the Justice Department that would prohibit the sale of bulk data to foreign entities. 

And on the same day that the FTC announced these settlements in December, the Consumer Financial Protection Bureau proposed a new rule that would designate data brokers as consumer reporting agencies, which would trigger stringent reporting requirements and consumer privacy protections. The rule would prohibit the collection and sharing of people’s sensitive information, such as their salaries and Social Security numbers, without “legitimate purposes.” While the rule will still need to undergo a 90-day public comment period, and it’s unclear whether it will move forward under the Trump administration, if it’s finalized it has the power to fundamentally limit how data brokers do business.

Right now, there just aren’t many limits on how these companies operate—nor, for that matter, clear information on how many data brokerages even exist. Industry watchers estimate there may be 4,000 to 5,000 data brokers around the world, many of which we’ve never heard of—and whose names constantly shift. In California alone, the state’s 2024 Data Broker Registry lists 527 such businesses that have voluntarily registered there, nearly 90 of which also self-reported that they collect geolocation data. 

All this data is widely available for purchase by anyone who will pay. Marketers buy data to create highly targeted advertisements, and banks and insurance companies do the same to verify identity, prevent fraud, and conduct risk assessments. Law enforcement buys geolocation data to track people’s whereabouts without getting traditional search warrants. Foreign entities can also currently buy sensitive information on members of the military and other government officials. And on people-finder websites, basically anyone can pay for anyone else’s contact details and personal history.  

Data brokers and their clients defend these transactions by saying that most of this data is anonymized—though it’s questionable whether that can truly be done in the case of geolocation data. Besides, anonymous data can be easily reidentified, especially when it’s combined with other personal information. 

Digital-rights advocates have spent years sounding the alarm on this secretive industry, especially the ways in which it can harm already marginalized communities, though various types of data collection have sparked consternation across the political spectrum. Representative Cathy McMorris Rodgers, the Republican chair of the House Energy and Commerce Committee, for example, was concerned about how the Centers for Disease Control and Prevention bought location data to evaluate the effectiveness of pandemic lockdowns. Then a study from last year showed how easy (and cheap) it was to buy sensitive data about members of the US military; Senator Elizabeth Warren, a Democrat, called out the national security risks of data brokers in a statement to MIT Technology Review, and Senator John Cornyn, a Republican, later said he was “shocked” when he read about the practice in our story. 

But it was the 2022 Supreme Court decision ending the constitutional guarantee of legal abortion that spurred much of the federal action last year. Shortly after the Dobbs ruling, President Biden issued an executive order to protect access to reproductive health care; it included instructions for the FTC to take steps preventing information about visits to doctor’s offices or abortion clinics from being sold to law enforcement agencies or state prosecutors.

The new enforcers

With Donald Trump taking office in January, and Republicans taking control of both houses of Congress, the fate of the CFPB’s proposed rule—and the CFPB itself—is uncertain. Republicans, the people behind Project 2025, and Elon Musk (who will lead the newly created advisory group known as the Department of Government Efficiency) have long been interested in seeing the bureau “deleted,” as Musk put it on X. That would take an act of Congress, making it unlikely, but there are other ways that the administration could severely curtail its powers. Trump is likely to fire the current director and install a Republican who could rescind existing CFPB rules and stop any proposed rules from moving forward. 

Meanwhile, the FTC’s enforcement actions are only as good as the enforcers. FTC decisions do not set legal precedent in quite the same way that court cases do, says Ben Winters, a former Department of Justice official and the director of AI and privacy at the Consumer Federation of America, a network of organizations and agencies focused on consumer protection. Instead, they “require consistent [and] additional enforcement to make the whole industry scared of not having an FTC enforcement action against them.” (It’s also worth noting that these FTC settlements are specifically focused on geolocation data, which is just one of the many types of sensitive data that we regularly give up in order to participate in the digital world.)

Looking ahead, Tiffany Li, a professor at the University of San Francisco School of Law who focuses on AI and privacy law, is worried about “a defanged FTC” that she says would be “less aggressive in taking action against companies.” 

Lina Khan, the current FTC chair, has been the leader of privacy protection action in the US, notes Li, and she’ll soon be leaving. Andrew Ferguson, Trump’s recently named pick to be the next FTC chair, has come out in strong opposition to data brokers: “This type of data—records of a person’s precise physical locations—is inherently intrusive and revealing of people’s most private affairs,” he wrote in a statement on the Mobilewalla decision, indicating that he is likely to continue action against them. (Ferguson has been serving as a commissioner on the FTC since April 20214.) On the other hand, he has spoken out against using FTC actions as an alternative to privacy legislation passed by Congress. And, of course, this brings us right back around to that other major roadblock: Congress has so far failed to pass such laws—and it’s unclear if the next Congress will either. 

Movement in the states

Without federal legislative action, many US states are taking privacy matters into their own hands. 

In 2025, eight new state privacy laws will take effect, making a total of 25 around the country. A number of other states—like Vermont and Massachusetts—are considering passing their own privacy bills next year, and such laws could, in theory, force national legislation, says Woodrow Hartzog, a technology law scholar at Boston University School of Law. “Right now, the statutes are all similar enough that the compliance cost is perhaps expensive but manageable,” he explains. But if one state passed a law that was different enough from the others, a national law could be the only way to resolve the conflict. Additionally, four states—California, Texas, Vermont, and Oregon—already have specific laws regulating data brokers, including the requirement that they register with the state. 

Along with new laws, says Justin Brookman, the director of technology policy at Consumer Reports, comes the possibility that “we can put some more teeth on these laws.” 

Brookman points to Texas, where some of the most aggressive enforcement action at the state level has taken place under its Republican attorney general, Ken Paxton. Even before the state’s new consumer privacy bill went into effect in July, Paxton announced the creation of a special task force focused on enforcing the state’s privacy laws. He has since targeted a number of data brokers—including National Public Data, which exposed millions of sensitive customer records in a data breach in August, as well as companies that sell to them, like Sirius XM. 

At the same time, though, Paxton has moved to enforce the state’s strict abortion laws in ways that threaten individual privacy. In December, he sued a New York doctor for sending abortion pills to a Texas woman through the mail. While the doctor is theoretically protected by New York’s shield laws, which provide a safeguard from out-of-state prosecution, Paxton’s aggressive action makes it even more crucial that states enshrine data privacy protections into their laws, says Albert Fox Cahn, the executive director of the Surveillance Technology Oversight Project, an advocacy group. “There is an urgent need for states,” he says, “to lock down our resident’s’ data, barring companies from collecting and sharing information in ways that can be weaponized against them by out-of-state prosecutors.” 

Data collection in the name of “security”

While privacy has become a bipartisan issue, Republicans, in particular, are interested in “addressing data brokers in the context of national security,” such as protecting the data of military members or other government officials, says Winters. But in his view, it’s the effects on reproductive rights and immigrants that are potentially the “most dangerous” threats to privacy. 

Indeed, data brokers (including Venntel, the Gravy Analytics subsidiary named in the recent FTC settlement) have sold cell-phone data to Immigration and Customs Enforcement, as well as to Customs and Border Protection. That data has then been used to track individuals for deportation proceedings—allowing the agencies to bypass local and state sanctuary laws that ban local law enforcement from sharing information for immigration enforcement. 

“The more data that corporations collect, the more data that’s available to governments for surveillance,” warns Ashley Gorski, a senior attorney who works on national security and privacy at the American Civil Liberties Union.

The ACLU is among a number of organizations that have been pushing for the passage of another federal law related to privacy: the Fourth Amendment Is Not For Sale Act. It would close the so-called “data-broker loophole” that allows law enforcement and intelligence agencies to buy personal information from data brokers without a search warrant. The bill would “dramatically limit the ability of the government to buy Americans’ private data,” Gorski says. It was first introduced in 2021 and passed the House in April 2024, with the support of 123 Republicans and 93 Democrats, before stalling in the Senate. 

While Gorski is hopeful that the bill will move forward in the next Congress, others are less sanguine about these prospects—and alarmed about other ways that the incoming administration might “co-opt private systems for surveillance purposes,” as Hartzog puts it. So much of our personal information that is “collected for one purpose,” he says, could “easily be used by the government … to track us.” 

This is especially concerning, adds Winters, given that the next administration has been “very explicit” about wanting to use every tool at its disposal to carry out policies like mass deportations and to exact revenge on perceived enemies. And one possible change, he says, is as simple as loosening the government’s procurement processes to make them more open to emerging technologies, which may have fewer privacy protections. “Right now, it’s annoying to procure anything as a federal agency,” he says, but he expects a more “fast and loose use of commercial tools.” 

“That’s something we’ve [already] seen a lot,” he adds, pointing to “federal, state, and local agencies using the Clearviews of the world”—a reference to the controversial facial recognition company. 

The AI wild card

Underlying all of these debates on potential legislation is the fact that technology companies—especially AI companies—continue to require reams and reams of data, including personal data, to train their machine-learning models. And they’re quickly running out of it. 

This is something of a wild card in any predictions about personal data. Ideally, says Jennifer King, a privacy and data policy fellow at the Stanford Institute for Human-Centered Artificial Intelligence, the shortage would lead to ways for consumers to directly benefit, perhaps financially, from the value of their own data. But it’s more likely that “there will be more industry resistance against some of the proposed comprehensive federal privacy legislation bills,” she says. “Companies benefit from the status quo.” 

The hunt for more and more data may also push companies to change their own privacy policies, says Whitney Merrill, a former FTC official who works on data privacy at Asana. Speaking in a personal capacity, she says that companies “have felt the squeeze in the tech recession that we’re in, with the high interest rates,” and that under those circumstances, “we’ve seen people turn around, change their policies, and try to monetize their data in an AI world”—even if it’s at the expense of user privacy. She points to the $60-million-per-year deal that Reddit struck last year to license its content to Google to help train the company’s AI. 

Earlier this year, the FTC warned companies that it would be “unfair and deceptive” to “surreptitiously” change their privacy policies to allow for the use of user data to train AI. But again, whether or not officials follow up on this depends on those in charge. 

So what will privacy look like in 2025? 

While the recent FTC settlements and the CFPB’s proposed rule represent important steps forward in privacy protection—at least when it comes to geolocation data—Americans’ personal information still remains widely available and vulnerable. 

Rebecca Williams, a senior strategist at the ACLU for privacy and data governance, argues that all of us, as individuals and communities, should take it upon ourselves to do more to protect ourselves and “resist … by opting out” of as much data collection as possible. That means checking privacy settings on accounts and apps, and using encrypted messaging services. 

Cahn, meanwhile, says he’ll “be striving to protect [his] local community, working to enact safeguards to ensure that we live up to our principles and stated commitments.” One example of such safeguards is a proposed New York City ordinance that would ban the sharing of any location data originating from within the city limits. Hartzog says that kind of local activism has already been effective in pushing for city bans on facial recognition. 

“Privacy rights are at risk, but they’re not gone, and it’s not helpful to take an overly pessimistic look right now,” says Li, the USF law professor. “We definitely still have privacy rights, and the more that we continue to fight for these rights, the more we’re going to be able to protect our rights.”