# Tech CEOs Are Using AI as the Perfect Scapegoat for Mass Layoffs

> Source: <https://www.gadgetreview.com/tech-ceos-are-using-ai-as-the-perfect-scapegoat-for-mass-layoffs>
> Published: 2026-06-03 09:39:43+00:00

MIT professor calls it [“AI washing”](https://fortune.com/2026/05/31/tech-companies-ai-washing-layoffs-wix-block-snap-atlassian-disposable-workers/)—and the pattern goes back decades. Wix just axed over **1,000 employees**—** 20%** of its workforce—and CEO Avishai Abrahami had his explanation ready. AI represents “the most significant shift in how companies are built since the invention of modern programming languages in the 1970s,” [he declared](https://www.fastcompany.com/91549928/wix-layoffs-today-job-cuts-latest-tech-company-to-cite-ai-israel), necessitating a “faster, leaner, and flatter organization.”

Sound familiar? You’ve heard nearly identical language from [Block’s Jack Dorsey](https://apnews.com/article/block-dorsey-layoffs-ai-jobs-18e00a0b278977b0a87893f55e3db7bb) (**4,000 layoffs**), executives at Snap and Atlassian, and countless others this year.

## The Same Old Script Gets an AI Makeover

*Companies have been promising “leaner teams” for decades—now they just blame the robots.*

[MIT professor emeritus Paul Osterman](https://mitsloan.mit.edu/faculty/directory/paul-osterman) isn’t buying the hype. “[They’ve been saying that for 20 years,](https://finance.yahoo.com/sectors/technology/articles/ceos-blame-ai-layoffs-mit-154604034.html)” he notes about corporate promises of productivity through smaller teams. What’s new is executives openly admitting they simply don’t want more workers—with AI providing the perfect cover story.

“AI is a perfect excuse to justify big layoffs,” [Osterman argues](https://finance.yahoo.com/sectors/technology/articles/ceos-blame-ai-layoffs-mit-154604034.html). “It makes it seem as if it’s not our decision, our fault—it’s the technology.”

The numbers back up his skepticism. [Gartner surveyed 350 executives](https://www.gartner.com/en/newsroom/press-releases/2026-05-05-gartner-says-autonomous-business-and-artificial-intelligence-layoffs-may-create-budget-room-but-do-not-deliver-returns) at billion-dollar companies and found

**80%** reduced headcount regardless of whether their

[AI projects](https://www.gadgetreview.com/ai-powered-websites-you-didnt-know-can-supercharge-your-productivity)actually delivered returns. Meanwhile, markets reward the narrative:

[Cisco’s](https://www.reuters.com/technology/cisco-raises-annual-revenue-forecast-2026-05-13/)stock jumped

**13%** after announcing

**4,000 layoffs** framed around strategic transformation. Like recessions before it, AI gives executives convenient cover for cuts they planned anyway.

## When the Math Doesn’t Add Up

*Data reveals most “AI layoffs” happen before companies see any real productivity gains.*

[Challenger, Gray & Christmas](https://www.challengergray.com/blog/challenger-report-april-job-cuts-rise-38-from-march-ytd-cuts-down-50/) tracked **49,135** AI-related layoffs in just the first few months of 2026—nearly matching all of 2025. Yet many of these cuts stem from budget reallocations toward expensive AI infrastructure, not actual job automation. Microsoft and Meta explicitly said they needed to shed [workers](https://www.gadgetreview.com/useful-desk-gadgets-that-youll-be-glad-you-have-in-your-office) to fund AI investments, not because AI replaced those roles.

Even [OpenAI’s](https://www.gadgetreview.com/openai-and-partners-launch-500-billion-stargate-project) Sam Altman acknowledges some of this is ** “AI washing”**—companies blaming technology for layoffs they’d execute regardless. The real drivers remain boringly familiar: pandemic over-hiring, currency pressures (like Wix’s Israeli shekel headaches), and investor demands for efficiency.

Osterman’s research shows this connects to a broader shift toward **“disposable workers”**—contractors and gig employees who now comprise roughly **35%** of the workforce.

Corporate America is perfecting the art of technological deflection. When your company’s next restructuring gets blamed on AI, remember: the employment system isn’t inevitable technological destiny—it’s a choice executives make, then find convenient ways to explain.