AI just became the #1 reason companies fire people. 40% of all May layoffs.

In May, U.S. employers cut 97,006 jobs.

The highest May total since 2020.

40% of those cuts were attributed to AI.

That is not a trend. That is a phase change.

Through five months of 2026, companies have cited AI in 87,714 layoffs. The entire 2025 total was 54,836. We blew past it in under half a year.

Challenger, Gray & Christmas has tracked layoff reasons for decades. AI was never even in the top five until March. Now it has led all reasons for three consecutive months.

Here is what makes this dangerous: Gartner surveyed 350 companies deploying AI agents. The ones cutting staff for AI showed no correlation between those cuts and improved ROI. None.

Workforce reductions are not creating returns. They are creating budget room for GPU clusters.

6 in 10 companies admitted they frame layoffs as AI-driven when the real reason is financial. OpenAI's own CEO called it AI washing.

The workforce split is real but the narrative is compromised. Entry-level hiring in AI-exposed roles dropped 13%. That part is structural.

But the headline number of AI-attributed layoffs is being inflated by companies using AI as cover for cuts they already planned.

Audit your organization's AI narrative. If leadership is citing AI as the reason for headcount reduction, demand the productivity data. If they cannot show you the ROI, you are not watching AI transform your workforce. You are watching budget reallocation get a tech-forward rebrand.

SOURCE: https://founderreports.com/ai-layoffs-tracker/
VERIFIED: Challenger Gray & Christmas May 2026 report, Gartner May 2026 study, Business Insider June 4 2026
SIGNAL: AI went from 5% of all U.S. layoffs in 2025 to 40% in May 2026. But Gartner found zero correlation between AI-related cuts and ROI improvement. The number is real. The justification is not.