MIT Sloan School of Management
The business school of the Massachusetts Institute of Technology, home to influential labour economics and management research.
Last refreshed: 8 June 2026 · Appears in 1 active topic
Why is MIT Sloan's labour economics research shaping the US AI employment debate in 2026?
Timeline for MIT Sloan School of Management
MIT economist: AI layoffs are a cover story
AI: Jobs, Power & Money- What research does MIT Sloan do on AI and labour markets?
- MIT Sloan has a long tradition of labour economics research. Professor Paul Osterman's 2026 work argued that AI attribution in layoffs is largely a cover for pre-planned cuts, citing data that only 2% of AI-attributed layoffs followed an actual AI deployment.Source: MIT Sloan School of Management
Background
The MIT Sloan School of Management is the business school of the Massachusetts Institute of Technology, located in Cambridge, Massachusetts. It is consistently ranked among the world's top business schools and is particularly known for research in technology management, operations, and labour economics. In 2026 it entered public debate on AI and employment through the work of Professor Paul Osterman, who argued in a widely circulated Fortune interview that AI attribution in corporate layoff announcements is largely a cover for planned restructuring.
Founded in 1914 as the Course XV programme at MIT, Sloan became an independent school in 1952. It is named after Alfred P. Sloan Jr., the former CEO of General Motors and a major benefactor. The school has approximately 1,800 students across its MBA, executive education, and doctoral programmes, with a faculty strong in organisational behaviour, financial economics, and system dynamics. Its System Dynamics Group, founded by Jay Forrester, produced foundational models for understanding industrial and economic cycles. Sloan faculty have shaped US policy on topics from healthcare to financial regulation.
MIT Sloan's labour and workforce research is a recurring reference point for US legislative debates. Osterman's work on internal labour markets and job quality has been cited in Congressional testimony and Department of Labor reports. As AI employment legislation advanced in California, New York, and other states in 2026, Sloan's research base — including Osterman's scepticism of AI-washing narratives — provided an academic counterweight to industry claims about technology-driven restructuring being inevitable and benign.
