AI emerges as top cause of job cuts in US, outpacing past two years: Report
Artificial intelligence became the leading cause of job cuts in the US in May 2026, accounting for nearly 40% of layoffs and surpassing the combined total of AI-related layoffs from 2024 and 2025. The tech sector was hardest hit, with over 38,000 AI-driven job cuts in May alone, marking a 66% increase in layoffs year-to-date.
Artificial intelligence has overtaken all other factors as the primary driver of job cuts in the United States, according to a report by Challenger, Gray & Christmas. In May 2026, AI-related layoffs accounted for nearly 40% of all announced workforce reductions, totaling 38,579 cuts—outpacing the combined AI layoffs of 67,578 recorded in 2024 and 2025. The report highlights a sharp rise in AI-driven job losses throughout 2026, climbing from 7% of layoffs in January to 40% by May. May alone saw the highest monthly AI-related layoff figure since tracking began in 2023, with total AI-linked cuts for the year reaching 87,714. The technology sector was the most affected, with 38,242 job cuts in May—the highest monthly total since August 2024. Year-to-date layoffs in tech surged 66% to 123,000, nearly triple the next hardest-hit industry. Challenger, Gray & Christmas noted that AI is now the leading reason companies cite for workforce reductions, signaling accelerating automation adoption. The trend reflects broader industry shifts as businesses integrate AI tools to streamline operations. Layoffs in May 2026 totaled 97,000, the highest for the month since the COVID-19 pandemic began in 2020. The steady increase in job cuts over three consecutive months—from 48,307 in February to 97,000 in May—underscores growing economic uncertainty tied to AI adoption.
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