Meta is moving 7,000 employees into AI roles ahead of sweeping layoffs
Meta is reassigning 7,000 employees to AI-focused teams as part of a major internal restructuring — one that runs alongside plans to cut roughly 8,000 jobs and close 6,000 open positions. The moves, set to take effect around May 20, 2026, affect close to 20% of the company's total workforce. For users of Facebook, Instagram, and WhatsApp, this is the clearest sign yet that the AI features appearing across those platforms aren't a side project — they're now the core business.
The pivot
Chief People Officer Janelle Gale confirmed the reassignments in an internal memo obtained by Bloomberg. Workers are being redistributed into three new groups: Applied AI Engineering, Agent Transformation Accelerator, and Central Analytics. The stated goal is a flatter management structure with smaller, faster teams built around what Meta calls "AI-native design principles" — meaning AI tools and agents are baked into how work gets done, not bolted on afterward.
CEO Mark Zuckerberg has made AI the company's explicit top priority, and the numbers back that up. Meta's capital expenditure for 2026 is projected at $125–145 billion, up from an already-revised estimate of $115–135 billion — an 84% jump from the $72 billion spent in 2025, per The Motley Fool. The company is competing directly with Google and OpenAI for dominance in large language models, and it's spending accordingly.
The friction
Not everyone inside Meta is on board. More than 1,000 employees signed an internal petition objecting to AI-powered monitoring tools — including software that tracks mouse movement — raising concerns about workplace surveillance tied to AI training practices, reports Republic World. The FTC has shown growing interest in Meta's internal AI monitoring practices, and the layoffs themselves come at a moment when OpenAI, Google, and Microsoft are actively recruiting from Meta's restructured teams.
The bet
Meta is wagering that concentrating its workforce on AI development — and using AI agents to offset headcount — will justify the enormous infrastructure spend over time. Whether that math holds depends on how quickly its AI products generate revenue against costs that are, for now, still accelerating. Investors are watching the profitability timeline closely, and the answers won't come from a memo.