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Snap is the latest high-profile company to double down on small, AI-powered ‘squads’ amid layoffs

Score another one for tiny teams.

On Wednesday, Snap CEO Evan Spiegel framed plans to slash 1,000 jobs as part of a shift the social-media company started last year toward organizing employees into small, AI-powered “squads.” He said the strategy is already playing out as AI cuts repetitive tasks and speeds up execution.

Leaders at several other big companies have recently made similar remarks about the benefits of leaner workforces and the role that AI plays in making small teams highly productive. In some cases, the comments were linked to layoffs.

“It would be disingenuous to pretend AI doesn’t change the mix of skills we need or the number of roles required in certain areas. It does,” Mike Cannon-Brookes, CEO of software company Atlassian, wrote last month in a securities filing about plans to cut 1,600 jobs.

“We’re starting to see projects that used to require big teams now be accomplished by a single very talented person,” Meta chief Mark Zuckerberg said on a January earnings call with analysts.

The tiny team trend isn’t limited to Big Tech. JPMorgan boss Jamie Dimon said in his annual letter to shareholders this month that “the real competitive battles” are waged by small, laser-focused teams.

Embracing startup culture

While startup founders have long prioritized scrappiness, the philosophy has been gaining traction among established businesses in recent years due to the AI boom. The technology allows just a few workers, or in some cases individuals, to carry out what previously required large teams, proponents say.

“We’re going to see 10-person companies with billion-dollar valuations pretty soon,” OpenAI CEO Sam Altman predicted in February 2024.

Leaner teams reflect a related shift away from middle managers and toward flatter hierarchies. Earlier this month, Block CEO Jack Dorsey described the “most ideal” setup as one where all 6,000 of the payments company’s employees report directly to him, while Amazon boss Andy Jassy said that flattening the tech giant’s structure has improved its speed.

Benefiting from shrinking teams requires changing how work gets done, said Erik Brynjolfsson, an economics professor at Stanford University.

“The winners won’t simply be the leanest organizations,” he said. “They’ll be the ones that best redesign work so humans and AI complement each other.”

Bias, morale, and pipeline problems

Going too small can be dicey, said Matt Poepsel, vice president of talent optimization at the Predictive Index, an HR software company. Workers who rely solely on AI for decision-making might amplify personal biases, he said, whereas groups provide checks and balances.

“AI is programmed to try to keep you using it,” said Poepsel. “That’s why I refer to it as the silicon sycophant, because it’s wired for a very different outcome.”

Companies going down the tiny team path also risk hurting morale, which can negatively impact business outcomes, said Alex Lovell, a political psychologist at O.C. Tanner, an employee-recognition software company.

Engagement is driven by interaction with colleagues and leaders, he said, and without that, “inspiration can decay.”

Another potential downside is that tiny teams can diminish talent pipelines, said Soumitra Shukla, a research fellow at Harvard Business School. Cutting entry-level roles, for example, can lead to shortages of experienced workers.

“You don’t have as many people to promote to seniors,” he said.

Further, early-stage professionals may start to question their ability to climb the corporate ladder at companies embracing tiny teams, added Shukla, also a researcher at The Burning Glass Institute, a nonprofit research organization that studies the future of work and learning.

“Junior talent is not going to be junior forever,” he said.




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Layoffs or an AI pivot? It’s hard to tell the difference now

Am I getting laid off, or is my company announcing a big AI pivot?

These days, it’s probably a bit of both.

A weird thing is happening in Corporate America. Companies are cleansing their layoff announcements with a healthy dose of AI strategy talk, writes BI’s Tim Paradis.

Australian-American software company Atlassian was the latest to announce some AI-branded job cuts. When it laid off 10% of its staff, CEO Mike Cannon-Brookes said the move was part of Atlassian’s repositioning in the “AI era.” (You can watch his four-minute video explaining the layoffs here.)

The news comes a few weeks after Jack Dorsey laid off 40% of Block’s staff while also pointing out that AI reshaped how the company could run.

Shedding staff because you’re ushering in a new era of AI efficiency is a convenient bit of corporate magic.

Atlassian’s stock was down more than 50% this year before the layoff announcement, a victim of the ongoing SaaSpocalypse. Block, meanwhile, was down more than 80% from its 2021 highs when it pulled the trigger on its cuts.

Block’s Dorsey said blaming layoffs on overhiring during the pandemic “misses all the complexity.”

The math does look simple here, though. Layoffs, which investors typically gobble up, and a sprinkle of AI reinvention can also be a sure-fire way to jumpstart a company that’s had a tough run.

My colleague broke down another interesting theory on the recent job cuts.

Alistair Barr, author of the Tech Memo newsletter (are you really not subscribed yet?), wrote about another driving force behind these cuts: restricted stock units.

RSUs are the generous chunks of equity that tech companies use as part of their comp packages. It’s a nice bit of financial engineering that works really well when business is booming.

But Alistair got an impromptu call from the CEO of a major public software company, who pointed out a red flag. The executive told him that RSUs are becoming a problem now that software companies’ shares are nosediving.

Basically, the lower your share price, the more RSUs you need to issue to maintain the same comp level to entice and retain tech talent. That dilutes existing shareholders, which is no bueno.




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Watch what Atlassian’s CEO said in a 4-minute video on the company’s AI-induced layoffs

  • Atlassian has cut 1,600 jobs, roughly 10% of its workforce, as it pivots to AI.
  • CEO Mike Cannon-Brookes addressed employees in a four-minute video explaining the layoffs.
  • He said he is “deeply sorry for the disruption” the layoff creates in their lives.

Atlassian CEO Mike Cannon-Brookes addressed employees in a four-minute video explaining why the company is laying off about 1,600 workers — roughly 10% of its workforce — as it pivots more aggressively toward AI.

Cannon-Brookes said in a message on the company’s blog that the decision was difficult but necessary as AI reshapes how software companies operate. The shift isn’t simply about cutting costs, he said, but about changing the mix of skills the company needs as it builds products for the AI era.

About 30% of the affected roles are based in Australia. The Australian-American software firm was founded in 2002 by Cannon-Brookes and Scott Farquhar, both of whom are ranked among Australia’s 50 richest people by Forbes.

The layoffs come amid a wider shift across the tech industry as companies restructure for the AI era. Last month, Block slashed nearly half its workforce, citing productivity gains from AI.

Watch Cannon-Brookes’ video message to employees here:




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Layoffs are feeling awfully tempting for companies right now

When the economy is uncertain, CEOs often reach for a familiar lever: job cuts.

And things are feeling far from certain these days.

January layoffs were the biggest for the start of a year since 2009, during the Great Recession, the outplacement firm Challenger, Gray & Christmas reported last week. The Labor Department on Friday also announced a surprise drop in employment in February.

Everywhere business leaders look, they see question marks: about the economy, tariff policy, congressional elections, the impact of AI, and global conflict.

A lack of clarity in business is nothing new, yet sometimes the fog grows thicker. When it does, holding onto cash starts to look like the smart call to some CEOs, said Sunil Setlur, founder of Cognisen.co, a leadership and organizational strategy advisory firm.

That can mean cutting people, he said, because payroll often represents the biggest line item on a company’s balance sheet.

What investors like

While cuts are unpleasant for all but the most hard-nosed CEOs — and, of course, the affected workers — they’re often a hit with investors.

From Meta to Spotify, Wall Street has rewarded companies that announce layoffs in recent years.

When markets applaud job cuts, and compensation is tied to a company’s stock performance, that incentive structure can make such decisions “easier than they might otherwise be,” Setlur said.

In some industries, like tech, where many companies bulked up during a pandemic-era boom, layoffs can also bring payroll back in line with demand, he said.

For years, some firms have been trying to thin layers of both middle management and rank-and-file workers to create smaller, more nimble teams.

Amazon, for example, said in January that it would cut 16,000 corporate workers as part of an effort to become the “world’s largest startup.” Since late 2022, it has cut more than 57,000 corporate roles.

A number of companies, exercising the leverage they hold in a softer job market, are tightening performance standards — another way to reduce head count without announcing it outright.

The AI factor

Much of the chatter around recent layoffs centers on fears that this is just the start of AI decimating white-collar jobs.

In late February, the tech company Block laid off more than 40% of its workforce, citing AI-generated efficiencies allowing smaller teams to get more done. The company’s cofounder and CEO, Jack Dorsey, predicted that more companies would eventually embrace a similar slim down because of AI.

By some measures, it’s already happening. At companies in five industries likely to feel “significant near-term impacts” from AI adoption, employment fell by 4%, on average, over the prior year, while net productivity rose, Morgan Stanley reported in February. The financial firm surveyed more than 900 executives in several countries, including the US.

“Despite the perception that adoption is still in early stages, new data show AI’s impact is both measurable and accelerating faster than expected,” the report said.

Friday’s employment report, which showed a loss of 92,000 jobs rather than a gain of 55,000 as economists forecast, also revealed weakness in tech. One economist wrote that the industry is losing jobs at one of the fastest rates of the last two decades.

Job cuts often don’t have as much to do with AI as with pragmatic decisions to reduce costs, said Alibek Dostiyarov, cofounder of Perceptis, which develops AI-powered software for professional services firms.

That’s particularly true for firms that grew rapidly during the pandemic, only to see demand soften subsequently.

“AI is just a convenient scapegoat,” Dostiyarov told Business Insider.

Instead, while he estimated that the technology could deliver long-term efficiency gains of 20% to 30%, Dostiyarov said it’s more likely to lead to task elimination rather than one-for-one job losses.

In general, Tim Walsh, CEO of KPMG US, doesn’t see AI behind many corporate cutbacks. Instead, he told Business Insider, many businesses are reviewing their overall workforce to reassess where they need people.

“Deploying AI does not automatically lead to workforce reduction,” Walsh said. KPMG, he said, will likely need to hire more people as it continues to develop and incorporate AI tools into its business.

Understandably, AI anxiety remains pervasive, however.

“A lot of people have been just waiting for the AI shoe to drop,” said Jeff Fettes, CEO of Laivly, which uses AI agents to support customer service work for Fortune 500 companies. Yet because it often takes companies a while to adopt new technology, not all of the reductions are likely to show up right away.

Do you have a story to share about your career or a layoff? Contact this reporter at tparadis@businessinsider.com.




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