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Paul Osterman
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Paul Osterman

Professor at MIT Sloan School of Management and expert on labour economics and workforce policy; argued that AI attribution in layoff announcements continues a decades-long pattern of technology as a cover for planned restructuring.

Paul Osterman told Fortune on 31 May that AI attribution in corporate layoffs is largely a cover story, citing Harvard Business Review research finding only 2% of layoffs at AI-citing firms followed an actual AI deployment.

Last refreshed: 17 July 2026 · Appears in 1 active topic

Key Question

Is AI really causing mass layoffs, or is it the cover story for cuts firms already planned?

Timeline for Paul Osterman

#16 1 Jul
#12 5 Jun
#12 31 May
#14 1 Mar
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Background

Paul Osterman is a professor at the MIT Sloan School of Management and one of the United States' leading labour economists, with an academic career spanning more than four decades of research into internal labour markets, job quality and workforce policy.

He is the author of several influential books, including Securing Prosperity and Good Jobs America, and has served on National Academy of Sciences committees examining the future of work, as well as advising the US Department of Labor and congressional committees on workforce policy. His work on how firms structure careers, wage ladders and job security internally has become foundational to understanding why external shocks, technology, offshoring, automation, translate into workforce disruption differently across industries and firm types.

That grounding is what gives his more recent scepticism about AI-attributed layoffs its weight: rather than a one-off comment, it extends a career-long argument that employers reach for whichever technological narrative is most convenient when explaining decisions made for other reasons.

Key Issues
AI layoffs debate

He argues AI masks pre-planned layoffs

On 31 May 2026, Paul Osterman told Fortune that AI attribution in corporate layoff announcements is largely a cover story, arguing firms have used successive waves of technology as an excuse for planned restructuring for at least two decades . He pointed to Harvard Business Review research finding that only 2% of layoffs at AI-citing companies followed a demonstrable AI deployment, a figure now used as a benchmark for scepticism about employer claims.

Subsequent developments have tended to run alongside his thesis rather than against it: reversals at Ford and IBM by 1 July, where automation had to be undone and rehiring resumed, read as evidence that cuts outran what the technology could actually deliver, the exact pattern Osterman had named in May.

Common Questions
Who is Paul Osterman and what does he say about AI layoffs?
Paul Osterman is an MIT Sloan labour economist who argues that AI attribution in layoff announcements is largely a cover story for pre-planned cuts, citing HBR data that only 2% of such layoffs followed an actual AI deployment.Source: Fortune / MIT Sloan
What is AI-washing in employment and how does it affect workers?
AI-washing in employment refers to firms attributing layoffs to AI adoption when the cuts were planned independently of any technology deployment. Osterman argues it is a decades-long pattern that shapes public and political perception of who is responsible for job losses.Source: Paul Osterman, MIT Sloan
What percentage of AI-attributed layoffs actually follow an AI deployment?
Harvard Business Review research found that only 2% of layoffs at companies citing AI as the cause followed a demonstrable AI deployment, a figure Osterman used to question employer claims about AI-driven restructuring.Source: Harvard Business Review
What has Paul Osterman written about internal labour markets?
Osterman is the author of several books including Securing Prosperity and Good Jobs America, and is recognised for foundational academic work on how firms structure internal career ladders and wage progression.
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