US Job Cuts Surge 38% as AI Drives Tech Layoffs

Job cuts in the United States surged 38% year-over-year in April 2026, reaching 83,387, according to data from Challenger, Gray & Christmas. The research firm identified artificial intelligence as the top reason for layoffs for the second consecutive month, with AI cited in more than 49,000 job cuts so far this year. Technology firms led the downturn, announcing 33,361 cuts in April alone, bringing their year-to-date total to 85,411.

Several major companies executed significant staff reductions linked to AI efficiency. Block laid off 40% of its workforce, Coinbase reduced staff by 14%, and Cloudflare announced cuts following a 600% increase in AI usage. While hiring plans dropped 69% between March and April, separate payroll data from ADP and the Bureau of Labor Statistics showed overall job growth in the broader economy.

Industry analysis suggests AI is primarily automating fragments of roles rather than entire positions. McKinsey research indicates AI can automate 57% of work activities, though these tasks are spread across various roles. A survey of 20,000 workers by Microsoft found that while 90% of tech workers use AI, most companies have not yet adjusted employee performance metrics to reflect how the technology is reshaping work, particularly for software engineers shifting toward system design.