AI cited in 40% of May job cuts as companies restructure
Artificial intelligence has become the leading reason companies give for layoffs, accounting for 38,579 job cuts announced in May alone. That represents 40% of all announced cuts that month, up from 7% in January, according to research from Challenger, Gray & Christmas.
Through May, AI has been cited in 87,714 job cuts this year-22% of all 2026 layoffs. That already surpasses the entire 54,836 AI-related cuts attributed to all of 2025.
The technology sector leads in citing AI for cuts. Andy Challenger, chief revenue officer at Challenger, Gray & Christmas, said the findings show companies are acting on AI adoption now. "Like spreadsheets and email before it, the technology will ultimately make workers more productive, but our data shows companies are already acting on it," he said.
The 'AI washing' problem
Some organizations may be using AI as cover for layoffs they would have made anyway. OpenAI CEO Sam Altman acknowledged this practice, known as "AI washing," earlier this year. "There's some AI washing where people are blaming AI for layoffs that they would otherwise do, and then there's some real displacement by AI," he told CNBC.
A Forrester report found that many companies announcing AI-related cuts lack mature, tested AI applications ready to replace the eliminated roles. The report called this a trend of attributing financially motivated cuts to future AI implementation.
Broader restructuring underway
AI cuts are part of a larger restructuring effort. Market and economic conditions drove 69,645 announced cuts since January, while closures accounted for 66,733 cuts.
Acquisitions and mergers triggered 11,989 job cut announcements since January-more than six times the figure from the same period last year. Challenger said this pattern suggests companies are aggressively repositioning themselves for an AI-driven economy.
The World Economic Forum has estimated that AI could displace 92 million positions worldwide. Challenger cautioned against calling this a "jobpocalypse," but acknowledged the pace of change remains uncertain. "The open question isn't whether AI changes the workforce, but how fast," he said.
HR professionals managing workforce transitions should understand both the real impact of AI adoption and the risk that some cuts may be mislabeled. AI for Human Resources resources can help teams navigate these changes, while AI Learning Path for CHROs offers guidance for senior HR leaders developing workforce strategy in response to AI.
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