Meta cuts 8,000 jobs on May 20 and plans to spend $115–135 billion on AI infrastructure by 2026, betting the company's future on massive compute capacity

Meta confirmed it will lay off approximately 10% of its global workforce (around 8,000 employees) starting May 20, paired with a structural reorganization to support extreme AI spending—the company will invest $115–135 billion by 2026 to build massive data centers (multi-gigawatt compute infrastructure) that power its AI systems.

Instead of hiring more people, Meta is automating management functions and shifting to a capital-intensive model where money flows to computing power rather than headcount—fewer employees, but vastly larger AI models and faster inference (the process where AI generates answers) underlying Facebook, Instagram, and WhatsApp.

For Meta's users and advertisers, this gamble means Meta is betting it can serve billions of people with fewer staff by leaning on AI to recommend content, moderate posts, and target ads more precisely. For investors and competitors like Google and OpenAI, it signals Meta sees AI infrastructure—not people—as the bottleneck to winning the next decade; companies that cannot match this spending may fall behind in AI capability.