Tech Sector Records 38,242 Layoffs as AI Cited

Challenger, Gray & Christmas reported that U.S.-based employers announced 97,006 job cuts in May, the highest May total since 2020. Per Challenger, the technology sector accounted for 38,242 of those cuts, its largest monthly tally since August 2024, and has announced 123,653 cuts so far in 2026, up about 66% from the same period in 2025. The firm said AI was the leading reason employers cited for layoffs for a third month in a row, named in 38,579 cuts overall in May.

The same report shows technology also topped hiring intentions, with about 11,250 planned tech hires in May, per Finimize's summary of the data. Challenger's figures aggregate employer announcements and the reasons employers give; they do not provide a detailed role-level breakdown of AI-attributed cuts. Andy Challenger noted additional cuts tied to acquisitions, mergers, and bankruptcy activity.

Prior automation cycles tended to reduce easily codified, repetitive roles first while preserving or expanding roles that coordinate systems, manage exceptions, or set strategy. The simultaneous heavy cuts and continued hiring are consistent with firms restructuring headcount toward different skill sets rather than broadly cutting engineering investment, implying near-term demand for engineers who can build, validate, and monitor production ML systems.

• •Employer disclosures and 10-Q filings for severance, carve-outs, and restructuring charges that clarify cuts tied to M&A or bankruptcy.
• •Job-posting trends for roles such as ML engineer, MLOps, data engineer, and site reliability; a sustained rise would confirm a shift in hiring mix.
• •Company and policymaker statements on workforce transition, retraining, or collective bargaining.

The data documents a measurable rise in technology-sector layoff announcements with AI cited as a leading reason, alongside continued tech hiring, a restructuring of skill demand rather than a wholesale retreat from engineering.