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Paris Saint-Germain, CrowdIQ set out to measure crowd atmosphere with data

Paris Saint-Germain enjoys one of soccer’s best home match atmospheres, but club executives still had questions. Why? And how could it be even better? By collaborating with crowd analytics provider CrowdIQ — who, at PSG’s suggestion, added audio inputs to its AI algorithms — the Ligue 1 power developed a methodology for assessing what factors […]

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Paris Saint-Germain enjoys one of soccer’s best home match atmospheres, but club executives still had questions. Why? And how could it be even better?

By collaborating with crowd analytics provider CrowdIQ — who, at PSG’s suggestion, added audio inputs to its AI algorithms — the Ligue 1 power developed a methodology for assessing what factors drove lively experiences at Parc des Princes for its men’s and women’s teams. This new Atmosphere Index has helped PSG devise its matchday programming, sponsor activations and more.

“One of the business challenges that’s important for us is to maximize the match day experience for two real factors,” said PSG Chief Innovation & Digital Officer Jerry Newman, a former executive at Meta, Chelsea FC and The FA, the governing body for soccer in England. “The first is that a great experience in the stadium is great from a consumer perspective. And secondly, there’s a few academic papers that say, actually, the fan is the 12th man in many respects within sport, and if you can figure out a way in which you can improve the atmosphere, it could have an impact on the pitch.”

CrowdIQ’s high-resolution cameras, which also power FanCam, feed its computer vision algorithms to estimate not only fan demographics but also behavior, such as when they arrive at their seats and where they are looking. Its attention tracking product takes photos every second to understand if fans are watching the pitch, checking their phones or looking at stadium signage or videoboards.

PSG then exported its CRM and ticketing data. Opta event data was also added to understand the action happening on the field, such as goals, corner kicks or tackles.

Newman summarized the working definition of a good atmosphere as “a combination of attention, noise and time spent in seat.” Among the findings published in the new white paper:

— Fans reported 10% higher satisfaction for UEFA Champions League matches than for domestic Ligue 1 contests. (PSG won its first Champions League title this past year but has won 11 of the past 13 Ligue 1 trophies, including four straight).

— Attendees arrived about 25 minutes earlier for Champions League matches.

— A key emotional spike in fan interest and energy was noted about 15 minutes before kickoff.

— The Atmosphere Index was typically higher when fans arrived earlier.

“It’s been really helpful, from everything to how we present the match, to how we run promotions to get people into the stadiums, how we improve our F&B, how do we improve traffic into the stadium,” Newman said. “All with the ultimate goal of having the best atmosphere.”

Newman noted that driving revenue is not a primary goal of these efforts to further enhance crowd atmosphere, but it has an indirect impact. A better atmosphere might attract more sponsors and new fans, he said, and winning more matches is valuable from a brand and commercial perspective.

“The idea here is taking something subjective to objective, which in turn makes the crowd a better place to be, makes the game a better place to be, could increase team performance, but also could increase fan satisfaction, arrival times, which means more revenue for the team,” said Katherine Rowe, VP/Client Strategy & Insights for CrowdIQ, a 2023 honoree as one of SBJ’s Most Innovative Sports Tech Companies.

PSG pioneered the Atmosphere Index with CrowdIQ, but the AI firm is now working with other partners to modify the models to be applicable for different sports, different geographies, different venues. The Spurs are a longtime CrowdIQ user — and strategic partner of PSG since earlier this year — who have been collaborating on an NBA version of the index. The Titans will begin collecting fan data next season to inform a fan-centric design of their new Nissan Stadium.

“It’s going to be completely unique to every single partner and every single sport,” CrowdIQ CRO Rachel Goodger said. “What creates a good atmosphere in the NBA versus with PSG is very different, and what matters to those clubs is very different.”



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Silicon Valley Startups Duped by Developer Who Faked Resume, Worked 4 Jobs Simultaneously

A Mumbai-based engineer who excelled in interviews reportedly held multiple Silicon Valley startup jobs at once, often disappearing after landing offers of up to $200K. Soham Parekh impressed on paper, but founders say most of his resume was fake. As TechCrunch reports, Soham Parekh, who reportedly aced technical interviews and was offered salaries of up […]

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A Mumbai-based engineer who excelled in interviews reportedly held multiple Silicon Valley startup jobs at once, often disappearing after landing offers of up to $200K. Soham Parekh impressed on paper, but founders say most of his resume was fake.

As TechCrunch reports, Soham Parekh, who reportedly aced technical interviews and was offered salaries of up to $200,000, became the center of a startup-world cautionary tale last week when Playground AI founder Suhail Doshi posted a viral warning: “There’s a guy named Soham Parekh (in India) who works at 3–4 startups at the same time. He’s been preying on YC companies and more. Beware.”

As KRON4 reports, Doshi, who said he fired Parekh after just one week, called his resume “90% fake” and claimed he “made up constant lies,” including listing a master’s from Georgia Tech. The university told Fortune it has no record of his enrollment.

More than a dozen founders have since come forward with similar stories. At Antimetal, Parekh was reportedly the first engineering hire in 2022. “Really smart and likable,” said CEO Matt Parkhurst, but “we realized pretty quickly that he was working at multiple companies and let him go.”

At Create, Marcus Lowe said Parekh showed up once, pushed back his start date twice, and was eventually caught working for a competing startup while on Lowe’s payroll. When confronted, he ghosted.

As Fortune reports, Leaping AI co-founder Arkadiy Telegin nearly hired Parekh full time after a standout interview, offering $160K–$200K plus equity. “He really crushed my interview. I interviewed around 50 people in the prior two weeks before talking to him and he passed, by far, all of the people I interviewed,” he told Fortune. “He also was a very likeable person.”

Telegin went on to add that immediately upon being hired, Parekh started acting strangely and making excuses for why he wasn’t producing code, including drone strikes, floods, and electricity outages. He never signed a contract or sent an invoice.

In some cases, multiple Y Combinator startup founders realized after the fact they’d all been “dating the same guy,” as Telegin put it.  At least 10 companies hired and fired Parekh, and others say they rejected him after odd interview behavior or suspicious GitHub activity.

In a TBPN podcast interview, Parekh confirmed he had been working at several startups at once, sometimes up to 140 hours a week. “I’m not proud of what I’ve done,” he said. He cited financial hardship and claimed he genuinely cared about the mission of each company. Still, he admitted his actions took a toll and said, “That’s not something I endorse.”

Parekh recently announced on X that he’s now working exclusively at Darwin Studios, but both he and the CEO deleted the posts shortly after. In a statement to TechCrunch, Darwin’s founder called Parekh “an incredibly talented engineer” and said the team believed in his ability to help bring products to market.

Some see Parekh as a symptom of overemployment in remote tech culture. Others call him a scammer who’s burned founders, wasted time, and undermined trust in hiring. One developer tallied at least 10 confirmed jobs, eight rejected offers, and “likely many, many more.”

Whether Parekh’s next move is redemption or rebrand remains to be seen.

Image: RachaStock/Getty Images





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High-tech company makes key breakthrough that could revolutionize smartphones and EVs: ‘A pivotal commercial milestone’

Ampcera didn’t just put out another new product. As CEO Sumin Zhu, Ph.D, put it, “It’s a shift.” One that may change how devices like your phone and electric car hold their charge. Interesting Engineering reports that this U.S.-based company has begun commercial shipments of its nano-sulfide solid electrolyte powders. This may sound like a […]

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Ampcera didn’t just put out another new product. As CEO Sumin Zhu, Ph.D, put it, “It’s a shift.” One that may change how devices like your phone and electric car hold their charge.

Interesting Engineering reports that this U.S.-based company has begun commercial shipments of its nano-sulfide solid electrolyte powders. This may sound like a new energy sports drink, and it sort of is — but for your devices. 

These powders don’t splash around like battery liquid; they allow energy to flow through solids. In other words, the battery can run cooler, charge faster, and last a lot longer.

“A pivotal commercial milestone,” Zhu said, per Interesting Engineering. 

Ampcera itself reassured that the new materials offer “enhanced safety with 50% more energy compared to current lithium-ion batteries.”

This isn’t lab theory. Orders are in. Over 200 customers are already using the new materials in tests.

Most solid-state batteries still rely on liquids that can overheat or break down. 

This new material changes that. According to Interesting Engineering, Ampcera claims that its solid-state cells achieve an energy density of 400 Wh/kg and retain 80% of their capacity after fast charging. That’s like charging your phone before dinner and still having battery left the next week.

Fewer failures also mean fewer rare materials wasted. That cuts down on mining and reduces air and water pollution from material processing. 

“Enhanced safety with 50% more energy” isn’t just a promise — it’s already in use. A more stable battery design reduces the likelihood of thermal runaway — the kind of failure that leads to overheating or worse. For people in dense cities or sensitive environments, that reliability could mean fewer safety issues, lower insurance costs, and peace of mind.

It could also reshape how we power future tech. Think grid storage, electric delivery trucks, and even military-grade gear. Faster charging and dependable power systems affect everything from emergency response to aviation.

If supply chains cooperate, these next-gen batteries could start showing up within two years. Not splashy, but it’s the kind of upgrade, along with smart green tech like solar panels, that quietly makes things safer, faster, and cleaner to use.

Join our free newsletter for weekly updates on the latest innovations improving our lives and shaping our future, and don’t miss this cool list of easy ways to help yourself while helping the planet.


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At least 36 new tech unicorns were minted in 2025 so far

With AI igniting an investor frenzy, every month, more startups obtain unicorn status. Using data from Crunchbase and PitchBook, TechCrunch tracked down the VC-backed startups that became unicorns so far this year. While most are AI-related, a surprising number are focused in other industries like satellite space companies like Loft Orbital and blockchain-based trading site […]

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With AI igniting an investor frenzy, every month, more startups obtain unicorn status.

Using data from Crunchbase and PitchBook, TechCrunch tracked down the VC-backed startups that became unicorns so far this year. While most are AI-related, a surprising number are focused in other industries like satellite space companies like Loft Orbital and blockchain-based trading site Kalshi.  

This list will be updated throughout the year, so check back and see the latest powerhouse startups who are now worth over $1 billion.

June

Linear — $1.25 billion: This software development product management tool last raised an $82 million Series C, valuing the company at $1.25 billion, according to Pitchbook. The company, founded in 2019, has raised more than $130 million in funding to date from investors including Accel and Sequoia Capital. 

Gecko — $1.62 billion: This company makes data-gathering robotics that climb, crawl, swim, and fly. Founded in 2013, the company last raised a $121 million Series D, valuing the company at $1.6 billion, according to Pitchbook. The company has raised more than $340 million in funding to date from investors including Cox Enterprises and Drive Capital. 

Meter — $1.38 billion: This company, which offers managed Internet infrastructure service to enterprises, last raised a $170 million Series C, valuing the company at $1.38 billion, according to Pitchbook. The company, founded in 2015, has raised more than $250 in funding to date, from investors including General Catalyst, Sequoia Capital, Sam Atlaman, and Lachy Groom. 

Teamworks — This sports software company last raised a $247 million Series F, valuing the company at $1.25 billion, according to Pitchbook. The company, founded in 2006, has raised more than $400 million in funding to date from investors including Seaport Capital and General Catalyst.  

Thinking Machines — This AI research company, founded just last year by OpenAI alumn Mira Murati, raised a $2 billion seed round, valuing the company at $10 billion, according to Pitchbook. The company’s investors include a16z and Nvidia. 

Kalshi — $2 billion: The popular prediction markets company, founded in 2018, last raised an $185 million Series C, valuing the company at $2 billion, according to Pitchbook. The company has raised more than $290 million in funding to date, from investors including Sequoia and Global Founders Capital. 

Decagon — This customer service AI agent company, founded in 2023, last raised a $131 million Series C, valuing the company at $1.5 billion, according to Pitchbook. The company has raised more than $231 million in funding to date, from investors including a16z and Accel. 

May

Pathos — $1.6 billion: This drug development company, founded in 2020, last raised a $365 million Series D, valuing the company at $1.6 billion, according to Pitchbook. The company has raised more than $460 million to date from investors, including General Catalyst and Altimeter Capital Management. 

Statsig — $1.1 billion: This product development platform, founded in 2021, last raised an $100 million Series C, valuing the company at $1.1 billion, according to Pitchbook. The company has raised around $153 million to date, from investors including Sequoia, Mardona, and ICONIQ Growth. 

SpreeAI — $1.5 billion: This shopping tech company last raised an undisclosed round, according to Pitchbook, that valued the company at $1.5 billion. The company, founded in 2020, has raised more than $20 million to date from investors including The Davidson Group. 

Function — $2.5 billion: This health tech company, founded in 2020, last raised a $200 million round, according to Pitchbook, valuing the company at $2.5 billion. The company has raised more than $250 million in funding to date, from investors including a16z. 

Owner — $1 billion: This restaurant marketing software company, founded in 2018, last raised a $120 million Series C, valuing the company at $1 billion, per Pitchbook. The company has raised more than $180 million in funding to date, from investors including Headline, Redpoint Ventures, SaaStr Fund, and Meritech Capital. 

Awardco — $1 billion: This employee engagement platform last raised a $165 million Series B, valuing the company at $1 billion, per Pitchbook. The company, founded in 2012, has raised more than $230 million in funding to date, from investors including General Catalyst. 

April

Nourish — $1 billion: This dietitian tele-health company last raised a $70 million Series B, according to Pitchbook, valuing the company at $1 billion. The company, founded in 2020, has raised more than $100 million in funding to date from investors including Index Ventures and Thrive Capital. 

Chapter — $1.38 billion: This Medicare guide health tech company, founded in 2013, last raised a $75 million Series D, valuing it at $1.38 billion, according to Pitchbook. The company has raised $186 million in funding to date, with investors including XYZ Venture Capital and Narya. 

Threatlocker — $1.2 billion: This Orlando-based data protection company last raised a $60 million Series E, valuing the company at $1.2 billion, according to Pitchbook. The company, founded in 2017, has raised more than $200 million in funding to date, from investors including General Atlantic and StepStone Group. 
Cyberhaven — $1 billion: This data detection company last raised a $100 million Series D in April, according to Pitchbook, valuing the company at $1 billion. The company, launched in 2015, has raised more than $200 million in funding to date, with investors including Khlosa Ventrues and Redpoint Ventures.

March 

Fleetio — $1.5 billion: This Alabama-based startup creates software to help make fleet operations easier. It last raised a $454 million Series D at a $1.5 billion valuation, according to PitchBook. It was launched in 2012 and has raised $624 million in funding to date, with investors including Elephant and Growth Equity at Goldman Sachs Alternatives.

The Bot Company — $2 billion: This robotics platform last raised a $150 million early-stage round, valuing it at $2 billion, according to PitchBook. The company, which was founded in 2024, has raised $300 million to date in funding. 

Celestial AI — $2.5 billion: The AI company raised a $250 million Series C led by Fidelity that valued the company at $2.5 billion, per Crunchbase. The company, based in California, was launched in 2020 and counts BlackRock and Engine Ventures as investors. It has raised more than $580 million in capital to date, per PitchBook. 

Underdog Fantasy — $1.3 billion: The sports gaming company last raised a $70 million Series C valuing the company at $1.3 billion, according to Crunchbase. The company, founded in 2020, has raised more than $100 million in capital to date, per PitchBook. Investors include Spark Capital. 

Build Ops — $1 billion: This software company last raised a $122.6 million Series C, valuing it at $1 billion. Build Ops, which was launched in 2018, has raised $273 million in total, according to PitchBook, with investors including Founders Fund and Fika Ventures. 

Insilico Medicine — $1 billion: The drug research company raised a $110 million Series E valuing the company at $1 billion, per Crunchbase. It launched in 2014, has raised more than $500 million to date in capital, and counts Lilly Ventures and Value Partners Group as investors. 

Olipop — $2 billion: This popular probiotic soda company last raised a $137.9 million Series C at a $1.96 billion valuation. It was founded in 2018 and has raised $243 million to date with investors including Scoop Ventures and J.P. Morgan Growth Equity Partners. 

Peregrine — $2.5 billion: This data analysis and integration platform, launched in 2017, last raised a $190 million Series C with a valuation of $2.5 billion. It has raised more than $250 million in funding to date, according to PitchBook, with investors including Sequoia and Fifth Down Capital. 

Assured — $1 billion: The AI company helps process claims and last raised a $23 million Series B, valuing the company at $1 billion. It was launched in 2019 and has raised a little more than $26 million to date, with investors including ICONIQ Capital and Kleiner Perkins. 

February 

Abridge — $2.8 billion: This medtech company, founded in 2018, last raised a $250 million Series D at a $2.75 billion valuation, per PitchBook. The company has raised more than $460 million to date in funding and counts Elad Gil and IVP as investors. 

OpenEvidence — $1 billion: This medtech company, founded in 2017, last raised a $75 million Series A at a $1 billion valuation, per PitchBook. The company has raised $135 million to date in funding and counts Sequoia Capital as an investor. 

Hightouch — $1.2 billion: The data platform, founded in 2018, last raised an $80 million Series C at a $1.2 billion valuation, per PitchBook. The company has raised $171 million to date in funding and counts Sapphire Ventures and Bain Capital Ventures as investors.

January

Kikoff — $1 billion: This personal finance platform last raised an undisclosed amount that valued it at $1 billion, according to PitchBook. The company, founded in 2019, has raised $42.5 million to date and counts Female Founders Fund, Lightspeed Venture Partners, and basketballer Steph Curry as investors. 

Netradyne — $1.35 billion: Founded in 2015, this computer vision startup raised a $90 million Series D valuing it at $1.35 billion, according to Crunchbase. The round was led by Point72 Ventures.

Hippocratic AI — $1.6 billion: This startup, founded in 2023, creates healthcare models. It raised a $141 million Series B, valuing it at $1.64 billion, according to Crunchbase. The round was led by Kleiner Perkins. 

Truveta — $1 billion: This genetic research company raised a $320 million round valuing it at $1 billion, according to Crunchbase. Founded in 2020, its investors include the CVCs from Microsoft and Regeneron Pharmaceuticals. 

Clay — $1.25 billion: Founded in 2017, Clay is an AI sales platform. The company raised a $40 million Series B, valuing it at $1.25 billion, according to PitchBook. It has raised more than $100 million to date and counts Sequoia, First Round, Boldstar, and Box Group as investors.  

Mercor — $2 billion: This contract recruiting startup raised a $100 million Series B valuing it at $2 billion. The company, founded in 2022, counts Felicis, Menlo Ventures, Jack Dorsey, Peter Thiel, and Anthology Fund as investors. 

Loft Orbital — $1 billion: Founded in 2017, the satellite company raised a $170 million Series C valuing the company at $1 billion, according to Crunchbase. Investors in the round included Temasek and Tikehau Capital. 

This post was updated to reflect what Peregine does.



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This app is helping me unwind in new ways, and it might help you breathe your way to a better mood, too

I care and have thought a lot about the intersection between technology and mental health. That hasn’t always been the case, though. I owned my first smartphone at 15, did a computer science degree at 18, and landed a tech-related job at 21. But at no point did I consider how looking at a screen […]

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I care and have thought a lot about the intersection between technology and mental health. That hasn’t always been the case, though. I owned my first smartphone at 15, did a computer science degree at 18, and landed a tech-related job at 21. But at no point did I consider how looking at a screen was affecting me internally.

In recent years, that has changed. The world is more aware of the potential dangers of screen time and social media. It’s also something that I’ve thought more about as my children have gotten older. How do I shape, coach, and advise my children in these matters? It’s a question I keep coming back to.



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Bob Costas talks sports media on ‘Meet the Press’

HOF broadcaster Bob Costas said “sports is coming at people, if they want to access it, from so many different directions,” as tech companies like Amazon, Apple and Netflix get into live sports. Costas, appearing today on NBC’s “Meet the Press,” said, “Information and enjoyment in one way or another are coming at people from […]

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HOF broadcaster Bob Costas said “sports is coming at people, if they want to access it, from so many different directions,” as tech companies like Amazon, Apple and Netflix get into live sports. Costas, appearing today on NBC’s “Meet the Press,” said, “Information and enjoyment in one way or another are coming at people from so many different directions that even network television, which is still at the center of it, but it doesn’t own it, it doesn’t have the complete primacy that it once had.” Costas said that sports being so accessible today “does diminish it to some extent,” as “much of it is, for at least some portion of the audience, transactional now.” Costas touched on gambling and how the growth of sports betting means fans have a “different relationship to how that game plays out than if you’re just rooting for your team.” Costas said when he called games on MLB Network or Turner, he “refused to read the gambling promos.” Costas: “There’s an insidious aspect to it that I didn’t want to be part of.”

Other highlights from Costas’ interview:

  • On the intersection of politics and sports: “Anyone who says that politics has no place in sports has to be abysmally unaware of the history here. Because until fairly recently in our nation’s history sports and some aspects of entertainment have been the only avenues … that were broadly accessible to people of color or where someone like Billie Jean King could make a larger statement about women’s rights, not just within sports.”
  • On if he misses broadcasting: “I don’t miss what I used to do. I think I can still be effective and still enjoy it in an emeritus role. … I’ve had more than enough times at bat, and many years ago I passed the baton. And I’m generally satisfied and gratified with what my career has been” (“Meet the Press,” NBC, 7/6).



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$100 Million Signing Bonus for Me, Layoffs for You, Big Tech’s Divide

Hundred-million-dollar pay packages aren’t just for the Shohei Ohtanis and Cristiano Ronaldos of the world anymore. In Silicon Valley, nine-figure pay days are reportedly now being floated to the world’s top talent as the race to own AI enters a new frenzied stage. Meta has made at least 10 high-pay offers of up to $300 […]

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Hundred-million-dollar pay packages aren’t just for the Shohei Ohtanis and Cristiano Ronaldos of the world anymore. In Silicon Valley, nine-figure pay days are reportedly now being floated to the world’s top talent as the race to own AI enters a new frenzied stage.

Meta has made at least 10 high-pay offers of up to $300 million over four years to top OpenAI researchers for what it’s calling its Superintelligence Lab, Wired reported this week. Sam Altman claimed in June that OpenAI workers had been offered $100 million signing bonuses to jump ship. Meta spokesman Andy Stone called news of the reported pay “untrue,” saying “the size and structure of these compensation packages have been misrepresented all over the place.”

Whatever the actual figures are, it seems a select few researchers could see bank account balances that rival or surpass CEOs at other Big Tech companies — and they would out-earn other tech workers by numbers that are hard to envision. (A BI analysis of Meta’s federal filings last week found that software engineers at the company can make up to $480,000 in base salary.) A former Meta engineer who still works in the tech industry told us that as “top tech talent is finally being treated like top sports” many of tech’s rank and file workers are filled with resentment and jealousy, “especially amongst folks that have been in the industry a while.”

Demand for AI experts far outpaces the supply. Whatever enticing salaries Meta is actually offering must be outsized enough that they tempt people to abandon the sleek, hotbed of AI innovation to take on the task of bringing Meta, a company that bet everything on the metaverse, through yet another rebrand. To achieve Mark Zuckerberg’s dream of building a personalized AI for everyone, Meta no doubt needs to open its wallet.

Zuckerberg seems to be testing now how many zeros he needs to put on a check to get people to come play for his team. But perhaps more than anything, the eye-popping salaries underscore how the divide between top AI talent and the rest of us is becoming not just a gap, but a chasm.

“It doesn’t make sense for engineers, no matter how experienced and with great credentials, to make NBA players’ salaries,” says Natalia Luka, who studies economic sociology, organizations, and science and technology at University of California, Berkeley. The “exorbitant sums” that tech companies are paying, “not just for AI engineers, but also the computing power, the data centers, all of those costs,” she says, is putting enormous “pressure on them to cut costs elsewhere.”

“There’s this existential dread going around that the field is fundamentally changing,” says a former Meta engineer.

Just as top AI employees have humungous offer letters sent their way, thousands of tech employees are watching their job security crumble. Microsoft announced last week that it will lay off 9,000 workers (with the sales and Xbox divisions among those affected), bringing the total number of cuts at the company so far this year to about 15,000. These come as tech companies have spent nearly three years culling their ranks after overhiring and hoarding talent during the height of the Covid-19 pandemic. More than 600,000 tech workers have lost their jobs since Layoffs.fyi started tracking cuts in the industry in 2022. Tech jobs overall, however, have continued to grow, and are expected to do so twice as fast as other sectors over the next decade, according to a new report from CompTIA, a trade association for the IT industry.

Still, the disparity has alarmed many. “There’s this existential dread going around that the field is fundamentally changing, and the new entrants have had the rug pulled from under them as most companies are only hiring senior folks,” the former Meta engineer told us. While that “makes sense in the short term,” the person added, they fear it “is only going to make it impossible for them to grow the next generation of senior engineers.”

Some Meta insiders are deeply cynical about the new “Superintelligence” organization led by 28-year-old Alexandr Wang and recent hires from OpenAI and DeepMind. Screenshots from a group of Meta employees on Blind shared with Business Insider show one employee calling the new group “marketing BS to feed the media.” Some are concerned that Meta’s current GenAI org will be sidelined or laid off, with one post asking, “Should I switch away from GenAI? I feel like we’re all going to get fired.”

Companies everywhere have increasingly made investments and pivots to AI over the past few years, and other workers have been cut to foot the bills. Meta bought nearly half of Scale AI last month for $14 billion. Big Tech companies from Google to Meta have boasted about the ways they’re using AI to write code and become more efficient, all while the career ladder for entry-level software engineers topples. “You probably have to assume that just given the intense focus on all things AI right now, that it does diminish other potential areas of innovation, other potential investments, and by extension, it probably is going to diminish other workers in some capacity,” says Tim Herbert, chief research officer at CompTIA.

The concurrent battle between Meta and OpenAI over the industry’s most elite talent is far from the only one — companies are willing to pay more for AI talent at much lower levels, too. As of April 2024, entry level AI engineers made about 8.5% more than other engineers, according to Levels.fyi. Mid- and senior-level engineers earn about 11% more than similarly experienced engineers not working directly on AI. Demand for AI skills has grown by 21% annually since 2019, according to management consulting firm Bain & Company.

Not everyone is mad about the pay gap. A current engineer in Meta’s GenAI org told us they believe most people at the company understand the rationale, and even support it. “I cannot produce that kind of impact and hence do not deserve that kind of compensation,” they said. “I think most Meta employees are pretty much on board with this. If this team delivers disproportionately, we all benefit via stocks.”

The rush for AI talent isn’t so different from other eras of rapid tech innovation, where few have the skills to perform highly sought after work, says Sonny Tambe, a professor at the Wharton School of the University of Pennsylvania. “What’s different now is that the pace is much faster and there could be outsized rewards for companies who win this market, so the stakes are unusually high,” Tambe says. “AI companies don’t have time to wait for the talent pool to expand, and so the effect is more pronounced.”

Experts are skeptical that superstar athlete salaries will become the new norm for top AI talent; as more people are trained to lead generative AI teams, this may even become a passing fad. “The market is going to adjust in terms of having credentialed people who can do this kind of work,” Luka says. “Right now, it really is a fairly select group that knows how to run these giant AI systems.”

While we wait for more AI experts to emerge, there seems to be a two-tier system splitting inside Meta. Workers on Blind are describing Superintelligence recruits as “the chosen few.” One employee sarcastically noted that those working in the GenAI org will “get to label data for minimum wage.” Another noted, “Only a select few will get promoted… this is the era of elite internal poaching.” Tech companies will still need to invest in other areas to move their goals forward. For now, it’s a great time to be one of the few brightest brains on AI.


Amanda Hoover is a senior correspondent at Business Insider covering the tech industry. She writes about the biggest tech companies and trends.

Pranav Dixit is the Meta Correspondent at Business Insider based in the San Francisco Bay Area.

Business Insider’s Discourse stories provide perspectives on the day’s most pressing issues, informed by analysis, reporting, and expertise.





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