The Sheffield Press

Business

AI is driving a new wave of tech layoffs in 2026

By Joe Burgett ·
AI is driving a new wave of tech layoffs in 2026

U.S. employers announced 83,387 job cuts in April, and AI was the top cited reason for the second month in a row. March had already brought 60,620 cuts, with AI cited in 15,341 of them, a pace that pushed the year into a new phase of white-collar insecurity.

That pressure has been especially visible in tech, where layoffs are increasingly framed as part of an AI shift rather than a one-time cost reset. Business Insider cut about 21% of its workforce in May 2025, with CEO Barbara Peng saying the reductions would touch every department as the company pushed harder into AI, live events and a narrower business, tech and innovation strategy. Reuters said the publisher was also dealing with shrinking search traffic and the growing use of generative AI tools such as ChatGPT, while the Insider Union called the move a “pivot away from journalism.”

The broader labor story is less about a single company and more about how firms are changing the math on skilled work. Challenger, Gray & Christmas said AI led all reasons for U.S. layoffs for four straight months through June 2026, and that AI had been cited in 101,743 job cuts by then, nearly double the total for all of 2025. In tech, that has lined up with cuts at Oracle and other major employers including Amazon, Dell, Meta and Google, where AI, restructuring and cost discipline have all been folded into the same workforce reductions.

AI-generated illustration
AI-generated illustration

The pattern matters because it changes what happens after a layoff. In earlier tech downcycles, engineers, editors and product managers often expected a quick rebound into another role. Now the return is slower, partly because companies are consolidating jobs instead of reopening them, and partly because workers are being screened through an AI lens that can make entire functions look optional. The result is a labor market where the shock is not only the layoff itself, but the length of time highly paid workers can remain sidelined.

Analysts have also warned against treating AI as the only explanation. The Sheffield Press argued in a March 16, 2026 analysis that the rush to blame layoffs on automation was too simple, pointing instead to cost-cutting, market shifts and strategic restructuring. Those forces are still visible in the numbers. The difference in 2026 is that AI is now being used both as a real efficiency tool and as the most convenient language for shrinking teams.

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