Bank of America, citing International Labour Organization data, reports that nearly 838 million jobs globally—about 1 in 4—are exposed to generative AI. High-income countries face the highest exposure at 33.5%, while low-income nations see only 11%. Wealthier economies are best positioned to benefit from AI productivity gains, but firms leading AI development will likely capture a disproportionate share.
In Q1 2026, 86 tech companies cut over 80,000 jobs, the highest quarterly layoff figure in three years, up from 30,000 in Q1 2025. Meta plans to cut 10% of its workforce in May, and Microsoft offered voluntary buyouts to 7% of staff. Other companies trimming jobs include Spotify, Oracle, and Quora. AI was cited as the leading cause of U.S. layoffs in March, accounting for 25% of job cuts.
However, OpenAI CEO Sam Altman noted that companies often use AI as a cover for layoffs, calling it 'AI washing.' Venture capitalists and other executives point to overhiring during COVID and rising interest rates as key factors. Economist Marc Andreessen estimates many large companies are overstaffed by 25% to 75%.
Big Tech's massive AI investment is also reshaping the labor market. Google, Amazon, Microsoft, and Meta collectively plan to spend $725 billion on AI capital expenditures in 2026, up 77% from last year's record $410 billion. While AI-related job postings surged 92% in 2026, with a 56% wage premium, the workers being laid off—customer support, quality assurance, middle management—are largely not those being rehired. As a result, the tech labor market is splitting, with AI specialists in high demand while traditional roles face permanent elimination.
