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AI layoffs or ‘AI-washing’? | TechCrunch

Jane Doe by Jane Doe
February 2, 2026
in Technology News
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3D rendered conceptual illustration of numerous business figures evenly scattered across a soft pink background: solid colored human workers standing alongside identical translucent ghost-like figures, each translucent worker marked by a glowing “AI” symbol hovering above – powerful visualization of artificial intelligence replacing human workforce, solid employees mixed with their AI-replaced counterparts, automation displacing jobs, digital transformation eliminating roles, technological unemployment, workforce disruption, future of work with AI substitution, and the new era where real human workers are gradually replaced by artificial intelligence.
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How most of the corporations with current layoffs are actually adapting their workforces to the efficiencies and challenges of synthetic intelligence? And what number of of them have been simply utilizing AI as an excuse to cowl different issues?

That’s the query posed by a New York Times article on the development of “AI-washing,” the place corporations will cite AI as the rationale for layoffs that may really be brought on by different components, like over-hiring throughout the pandemic.

AI was the said cause for greater than 50,000 layoffs in 2025, with Amazon and Pinterest among the many tech corporations who blamed the expertise for current cuts.

However a Forrester report published in January argued, “Many corporations asserting A.I.-related layoffs wouldn’t have mature, vetted A.I. purposes able to fill these roles, highlighting a development of ‘A.I.-washing’ — attributing financially motivated cuts to future A.I. implementation.”

Molly Kinder, a senior analysis fellow on the Brookings Institute, famous that saying layoffs have been brought on by AI is a “very investor-friendly message,” particularly when the choice would possibly imply admitting, “The enterprise is ailing.”

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Jane Doe

Jane Doe

Jane Doe is the founding editor of Spectator Daily. Before launching this platform, she worked as a Technical Writer, where her primary responsibility was translating dense engineering documentation into clear manuals for end-users. This background in structured communication taught her the importance of precision and the dangers of ambiguity.

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