Artificial intelligence was the single largest reason U.S. employers cited for layoffs in March 2026, responsible for 15,341 of the 60,620 job cuts announced during the month — roughly one in four.

The numbers come from the latest monthly report by outplacement firm Challenger, Gray & Christmas. Overall job cut announcements rose 25% from February, though they remained 78% below March 2025, when the Department of Government Efficiency drove a massive spike in federal workforce reductions. Closings (13,931), restructuring (8,726), and market and economic conditions (6,597) rounded out the month’s other major drivers.

“Companies are shifting budgets toward AI investments at the expense of jobs,” Andy Challenger, chief revenue officer at the firm, said in the report. “The actual replacing of roles can be seen in technology companies, where AI can replace coding functions. Other industries are testing the limits of this new technology, and while it can’t replace jobs completely, it is costing jobs.”

The tech sector led all industries with 18,720 job cuts in March, bringing its first-quarter 2026 total to 52,050 — up 40% from a year earlier and the sector’s highest first quarter since 2023, when the industry recorded 102,391 cuts.

Dell confirmed in a 10-K filing that its headcount fell to 97,000 as of January 30, down from 108,000 a year earlier, citing “ongoing business modernization initiatives.” Oracle has reportedly begun its own round of cuts, and Meta is reducing its Reality Labs workforce as it increases AI spending, the Challenger report noted.

The numbers offer a concrete data point for what has largely been an anecdotal debate about AI’s impact on employment. While headline AI investments continue to draw investor attention — and job postings for AI-related roles remain elevated — the Challenger data suggests the technology is quietly displacing existing positions, particularly in software engineering and technical operations. Year-to-date, AI ranks fifth among all reasons cited for layoffs at 27,645 cuts, or about 13% of total planned reductions — but March’s surge to 25% suggests it is accelerating.

Not all signals point downward. Hiring plans surged in March to 32,826, up 157% from February and 149% year-over-year, though year-to-date hiring remains slightly below 2025 levels. Overall, Q1 2026’s total of 217,362 cuts represents the lowest first-quarter total since 2022.

Still, “More layoffs are likely to come from technology companies in 2026,” the Challenger report warned — a prediction that aligns with what’s already happening across the journalism industry, where AI-driven restructuring is accelerating job losses across both digital and legacy outlets.

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The Guardian announced last week a year-long editorial series examining how artificial intelligence is reshaping work across the United States and globally. The project, called Reworked, will place workers at the center of AI coverage rather than tech executives or abstract forecasts.

Led by Samantha Oltman, former editor-in-chief of Recode and editorial director at Vox, the series will document how millions of Americans are already working with or being managed by AI-driven systems. Coverage will span Amazon warehouses, hospitals, Hollywood writers’ rooms, offices and docks.

“Artificial intelligence is often discussed as if it were an unstoppable force moving through society on its own terms,” Oltman said. “In reality, it is being implemented through specific workplace decisions made by employers, executives and lawmakers.”

The series will interrogate the binary narrative that AI will either cause mass joblessness or pose little threat. Instead, reporting will examine how AI influences scheduling, HR disciplinary procedures, pay, promotion and creative output in real time.

Michele L Jawando, president of Omidyar Network, framed the project as fundamentally about power. “Independent journalism that centers the voices of working people is essential to ensuring our digital future is steered by our shared humanity,” she said.

The Guardian joins other major newsrooms treating AI as a sustained beat rather than sporadic coverage. The commitment signals that AI’s workplace impact has moved from speculation to daily reality requiring systematic documentation, a shift that is beginning to create a need for new governance even as the AI shift to agents is beginning.

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