Companies are exaggerating the capabilities of AI to increase their value, resulting in many problems for executives and employees alike. They are using this so-called AI wash to justify layoffs and avoid government scrutiny and public scorn.
What does AI cleaning feel like?
Another form of AI wash “includes rebranding traditional analytics as AI,” the NYSBA said. “Regression models, statistical analysis, and even Excel-based automation tools are frequently repackaged under the AI banner.” This allows companies to “leverage the market appeal of AI without investing in the underlying technology.” The common denominator is that they cite advances in AI as the reason. temporary layoff.
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According to a research firm’s analysis, artificial intelligence is considered to be the cause of approximately 55,000 layoff plans announced in 2025, and more than 71,000 layoff announcements from 2023 onwards will cite artificial intelligence. Challenger, Gray & Christmas. JP Gounder, vice president and principal analyst at research firm Forrester, told the Guardian: “Many companies are making a big mistake because CEOs who aren’t very familiar with the weeds of AI say, ‘Let’s fire 20 to 30 per cent of the workforce and replace them with AI.’ But many of these companies “don’t have mature, vetted AI applications ready to fill those roles,” he said. forester. As a result, “more than half of the layoffs attributed to AI will be quietly eliminated as companies realize the operational problem of filling talent quickly.”
Why is that happening?
Discussion about AI “It’s full of wild exaggerations,” he said. forbes. “They say that with this technology, you can achieve everything you’ve ever dreamed of. With this technology, you can dramatically change your business in an instant. AI chatbots know everything.” That makes them a perfect scapegoat for layoffs. Using AI as a reason for termination “may be less controversial than other reasons, such as inadequate company planning,” he said. new york times. The Guardian said CEOs could “blame advances in AI for job cuts when in fact they simply overhired during the pandemic.”
The big problem with this is that many companies are afraid of the Trump administration and are wary of blaming tariffs and other policies for layoffs. Martha Gimbel, executive director and co-founder of Yale University’s Budget Lab, told the Guardian: “There is a reluctance on the part of American companies to say anything negative about the economic impact of the Trump administration because they feel it will.” “By saying that the job cuts are due to new efficiencies created by AI, you can avoid potential backlash.”
