Meta Plans 10% Workforce Cut (~8,000 Jobs) to Fund $145B AI Infrastructure Spend
Tags AI · Infrastructure · Enterprise
Meta told employees it will cut approximately 8,000 jobs (10% of global workforce) beginning May 20, 2026, explicitly framing the layoffs as a reallocation of capital from payroll to AI infrastructure within a $145 billion AI spending plan. Meta raised its 2026 capex guidance to $125B-$145B, up from $115B-$135B previously. Q1 2026 revenue was $56.31B (up 33% YoY) with net income of $26.8B. Meta ended Q1 with 77,900 employees, down 1% from Q4 2025. CFO Susan Li stated the company plans to reduce headcount as an offset to AI capital expenditure.
Technical significance
Meta's $145B AI capex figure is roughly 4-5x its total human compensation, meaning even replacing the entire workforce would only free up ~$27B — a fraction of the AI infrastructure budget. This signals that the AI infrastructure buildout has reached a scale where human labor costs are becoming a secondary consideration in capital allocation. For the tech labor market, Meta's cuts confirm that the industry is entering a phase where AI investment and workforce reduction are explicitly linked.