
MIT Sloan School of Management
The business school of the Massachusetts Institute of Technology, home to influential labour economics and management research.
MIT Sloan's labour economics faculty entered the 2026 AI-jobs debate when professor Paul Osterman told Fortune on 31 May that AI attribution in corporate layoffs is largely a cover story for pre-planned restructuring.
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Why is MIT Sloan's labour economics research shaping the US AI employment debate in 2026?
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MIT Sloan School of Management is the business school of the Massachusetts Institute of Technology in Cambridge, Massachusetts, consistently ranked among the world's top business schools and known in particular for research in technology management, operations and labour economics.
Founded in 1914 as MIT's Course XV and established as an independent school in 1952, it is named after Alfred P. Sloan Jr., the former General Motors chief executive and a major benefactor. It enrols around 1,800 students across its MBA, executive education and doctoral programmes, and its System Dynamics Group, founded by Jay Forrester, produced foundational models for understanding industrial and economic cycles.
Sloan faculty research on labour and workforce policy is a recurring reference point in US legislative debate, cited in Congressional testimony and Department of Labor reports on topics from healthcare to financial regulation, positioning the school as an academic counterweight to industry claims about the inevitability of AI-driven restructuring.
Its labour research shapes AI-jobs debate
MIT Sloan's labour economics research became a reference point in the 2026 AI-employment debate through professor Paul Osterman, whose 31 May comments to Fortune argued AI attribution in layoffs is largely a cover story for restructuring firms had already planned. The school's long-standing focus on internal labour markets and job quality gave the claim institutional weight beyond a single interview.
That research base has fed into US policy debates for years: Sloan faculty work on labour markets has been cited in Congressional testimony and Department of Labor reports, giving the school's scepticism toward AI-washing narratives a hearing in the same legislative debate that produced state-level AI-employment bills through 2026.