Meta Cuts 10% of Workforce While Redeploying 7,000 Workers Into AI — As Analysts Question the Returns

Meta to lay off roughly 8,000 employees and redirect thousands more into artificial intelligence roles in sweeping reorganization

Meta is laying off approximately 10% of its global workforce — around 8,000 employees — while simultaneously moving 7,000 workers into artificial intelligence-focused roles consolidated into four new internal organizations, a source familiar with the matter told NBC News. The company is expected to formally announce the restructuring on Wednesday, with affected employees receiving notification emails early that morning.

The cuts will also include leaving roughly 6,000 open positions unfilled, compounding the overall reduction in headcount. Meta employed 77,986 workers as of the end of March 2026, already down from its peak of 86,482 in 2022.

A Pivot Already Telegraphed — and Already Underway

The reorganization is not entirely new. Meta first outlined the changes in an internal memo circulated in April, whose authenticity the company confirmed to NBC News.

“We’re doing this as part of our continued effort to run the company more efficiently and to allow us to offset the other investments we’re making,” wrote Janelle Gale, now Meta’s head of people, in that memo. “This is not an easy tradeoff and it will mean letting go of people who have made meaningful contributions to Meta during their time here.”

Wednesday’s announcement follows layoffs of hundreds of employees in March that hit at least five departments, including the Reality Labs virtual reality division, as well as Facebook social teams, sales, recruiting, and global operations.

Massive Capital Bets on AI, With Uncertain Returns

Meta is dramatically escalating its financial commitment to AI infrastructure. In April, the company raised its 2026 capital expenditure guidance to $125 billion–$145 billion, up from a prior range of $115 billion–$135 billion, citing higher component pricing and expanded data center capacity.

Chief Financial Officer Susan Li framed the workforce restructuring as inseparable from that investment strategy during Meta’s first-quarter 2026 earnings call. “We’re very focused on leveraging AI tools to substantially increase our productivity, and we’re seeing that reflected in the accelerating output from our engineers,” she said.

But the scale of Meta’s AI spending is raising red flags on Wall Street. Analysts at JPMorgan Chase downgraded Meta shares after first-quarter earnings, arguing the company faces “a more challenging path to returns” compared with rivals in the AI race.

Bank of America analysts were more blunt: “Meta is investing even more in capacity for AI capabilities, and reducing headcount to make room for added expenses. This AI investment cycle is proving to be bigger than expected, and returns are less clear vs Cloud providers.” They warned the current approach may not be “sustainable long-term.”

Stock Slump Reflects Investor Unease

Meta’s stock is down nearly 9% for the year as of the time of reporting, ranking it fifth among the so-called “Magnificent 7” tech companies — ahead of only Tesla and Microsoft in year-to-date performance. Since reporting first-quarter earnings at the end of April, the stock has shed an additional 10%.

The trajectory underscores a tension at the heart of Meta’s strategy: the company is making enormous bets on AI while shedding the human workforce that built its existing products — and investors are not yet convinced the math works out.

What This Means for Workers

For the thousands of Meta employees facing layoffs, the company’s pivot to AI offers little comfort. The restructuring follows a well-worn Silicon Valley pattern in which AI investment is used to justify headcount reductions, with productivity gains promised but unevenly distributed.

Meta’s parent platforms — Facebook, Instagram, and WhatsApp — collectively reach billions of users worldwide. The workers being cut helped build and maintain those products. Their departure, framed internally as an efficiency measure, reflects a broader corporate trend of treating labor as a cost to be optimized rather than a foundation to be sustained.

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