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Sam Altman says the quiet part is loud, confirming that some companies are blaming unrelated layoffs on technology as ‘AI washing’

As debate continues about AI’s true impact on the workforce, OpenAI CEO Sam Altman said some companies are engaging in “AI washing” when it comes to layoffs, or wrongly attributing workforce cuts to the impact of technology.

“I don’t know what the exact percentage is, but there is some AI washing where people are blaming AI for leaving jobs that they would otherwise do, and then there is actual displacement of different types of jobs by AI,” Altman told CNBC-TV18 at the India AI Impact Summit on Thursday.

Emerging data on technology’s impact on the labor market tell a muddled, inconclusive story about how technology destroys or destroys human jobs — or whether it doesn’t touch them.

For example, a study published this month by the National Bureau of Economic Research found that nearly 90% of thousands of C-suite executives surveyed across the US, UK, Germany and Australia said AI had had no impact on workplace employment in the past three years since ChatGPT’s late-2022 release.

However, prominent tech leaders like Anthropic CEO Dario Amodei have warned that AI’s white-collar bloodbath could potentially wipe out 50% of entry-level office jobs. Klarna CEO Sebastian Siemiatkowski suggested this week that the 3,000-person workforce will be cut by a third by 2030 due to the acceleration of AI. About 40% of employees expect to follow Siemiatkowski’s lead in downsizing as a result of AI, according to the 2025 World Economic Forum Future of Jobs report.

Altman made it clear that he expects more job displacement as a result of AI, as well as the emergence of new roles that complement the technology.

“We will find new kinds of jobs, as we do with every technological revolution,” he said. “But I expect that the real impact of AI will start to become apparent in the next few years.”

Data from a recent Yale Budget Lab report suggests that Altman and Amodei’s view of massive job displacement from AI isn’t certain and isn’t here yet. Using data from the Bureau of Labor Statistics’ Current Population Survey, the research found no significant difference in the occupational mix or length of unemployment rates of people with jobs with high exposure to AI from the release of ChatGPT through November 2025. The numbers suggested that there were no significant AI-related labor changes among these AI-related labor changes.

“Any way you look at the data, at this exact moment, it doesn’t seem like there are big macroeconomic implications here,” said Martha Gimbel, executive director and cofounder of the Yale Budget Lab. fate earlier this month.

Gimbel attributed the practice of AI washing to geopolitical tensions over AI, with companies unable to effectively navigate low margins and revenues. WebAI founder and CEO David Stout also wrote in the commentary piece fate That tech founders face increasing pressure to justify heavy and continued investment in AI is why many have created narratives of AI disrupting labor and the economy through predictions of labor displacement.

According to Torsten Schlock, Chief Economist at Apollo Global Management, this age of toe-tapping waits for the effects of AI to catch up with the IT boom of the 1980s. Nearly 40 years ago, economist and Nobel laureate Robert Solow observed little productivity gains in the PC era, despite predictions of productivity growth, and Schlock sees a similar pattern today.

“AI is everywhere except for incoming macroeconomic data,” he wrote in a blog post last week.

Slok said the AI-driven economic impact could follow a J-curve of initial recession, with initial collective spending obfuscating performance before exponential growth in productivity and labor shifts.

said Erik Brynjolfsson, economist and director of Stanford University’s Digital Economy Lab. Financial Times op-ed Recent labor data may actually be telling a new story of AI affecting productivity and labor. He noted the duality of job growth and GDP growth reflected in the latest revised employment numbers: Last week’s jobs report revised job gains to just 181,000 despite fourth-quarter GDP tracking 3.7%. Brynjolfsson’s own analysis revealed a 2.7% year-over-year productivity jump last year, which he attributes to AI’s productivity gains starting to emerge.

Brynjolfsson published a landmark study last year showing a 13% relative decline in employment for early-career workers in jobs with high levels of AI exposure. More experienced workers, meanwhile, saw employment levels that remained stable or increased.

“The latest 2025 US data suggests that we are now transitioning from this investment phase to the harvest phase,” he wrote. FT“Where those earlier efforts begin to manifest as measurable outputs.”

This story was originally featured on Fortune.com

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