Global AI‑linked tech layoffs surpass 39,000 after mass cuts at Meta, Microsoft
- Meta said April 23 it will cut about 8,000 jobs, or 10% of staff, while Microsoft opened first-ever U.S. buyouts for roughly 8,750 workers. - Meta will also scrap 6,000 open roles, and CNBC said tech layoffs in 2026 have already topped 92,000, with AI spending driving cuts. - Gartner says AI gains are uneven, especially outside marketing, complicating headcount bets. (gartner.com)
Meta and Microsoft have put more than 16,000 jobs in play in the same week as both companies accelerate spending on artificial intelligence. (cnbc.com 1) (cnbc.com 2) (cnbc.com 3) Meta told employees on April 23 that it will cut about 8,000 workers, or 10% of its workforce, starting May 20. The company is also canceling plans to fill 6,000 open roles. (cnbc.com) Microsoft, also on April 23, began its first voluntary buyout program in the company’s 51-year history. CNBC reported the offer could reach about 7% of Microsoft’s U.S. workforce, or roughly 8,750 employees. (cnbc.com) The cuts are landing as the biggest tech companies keep pouring money into the computing backbone for AI: new data centers, specialized chips and power-hungry cloud systems. CNBC reported Meta and Microsoft’s moves came months after Amazon’s broad layoffs and alongside industrywide cost pressure tied to AI infrastructure. (cnbc.com) (fastcompany.com) That does not mean every lost job was directly replaced by software. CNBC said companies are also still unwinding pandemic-era overhiring, even as executives look for labor savings to offset AI investment. (cnbc.com) The broader layoff picture is larger than these two companies. Layoffs.fyi’s tracker showed 98 tech companies with layoffs and 92,272 tech employees laid off in 2026 as of April 27. (layoffs.fyi) Gartner’s warning is that companies can overestimate what AI will do for productivity and headcount. In a March 25, 2025 release, Gartner said 37% of teams using traditional AI reported high productivity gains, compared with 34% for teams primarily using generative AI. (gartner.com) Gartner also said the gains are uneven by function, with marketing reporting stronger results than legal and human resources. That matters for companies making broad staffing decisions before AI benefits show up across the whole business. (gartner.com) A separate April 27 report citing Gartner analyst Caitlyn McDonough said one risk is that companies stop hiring junior workers as AI takes over repeatable tasks. McDonough said that can weaken internal talent pipelines and flatten career paths over time. (dynamicbusiness.com) The immediate story is simpler than the rhetoric around an “AI labor crisis.” Two of the world’s biggest software companies are cutting or buying out workers now, while betting that heavier AI spending will make them leaner later. (cnbc.com)
