Study: New Postwar U.S. Jobs Were Filled Mostly by Young, College-Educated Workers — What That Means for AI

A forthcoming paper led by MIT economist David Autor finds that newly emergent postwar U.S.

A team led by MIT labor economist David Autor found that new types of postwar U.S. work were disproportionately taken up by college graduates under 30 and clustered in urban areas, a pattern that could shape who benefits from technological change. The finding matters because it suggests younger, better — educated workers may again be best positioned to claim newly created roles as artificial intelligence reshapes tasks and industries.

The paper, "What Makes New Work Different from More Work?", is forthcoming in the Annual Review of Economics. Co-authors are Caroline Chin, a doctoral student in the MIT Department of Economics; Anna M. Salomons of Tilburg University and Utrecht University; and Bryan Seegmiller, an assistant professor at Northwestern's Kellogg School. The researchers tracked occupations and worker characteristics using Census records from 1940 and 1950 and American Community Survey data covering 2011 — 2023.

Methodologically, the team leveraged the Census Bureau's 70 — year public release rule to follow the same individuals between the 1940 and 1950 enumerations and obtained secure person — level ACS records through a collaboration with the bureau. That approach let them compare earnings, education, and demographics of workers in newly emergent specialties versus longstanding occupations, and to extend a 2024 finding that roughly six in ten U.S. jobs from 1940 — 2018 were in new specialties.

The paper emphasizes that much new work is demand — driven. The authors point to government — backed expansions of research and manufacturing in the 1940s — partly a response to World War II-as a major source of new forms of expertise. "If you create a large — scale activity, there’s always going to be an opportunity for new specialized knowledge that’s relevant for it," Autor said, framing how investment choices shape occupational emergence.

The results speak directly to contemporary debates about artificial intelligence. Autor cautioned that it is too soon to know exactly how AI will reshape the workplace and stressed that automation can erode discrete tasks without fully eliminating jobs. The central open question, the paper argues, is where the next wave of new work will originate and which workers will be positioned to claim it as AI diffuses.

On skills and pay, the authors find that new work often demands scarce, specialized knowledge at first, which is associated with higher pay while that expertise remains rare. "What makes labor valuable is not simply the ability to do stuff, but specialized knowledge," Autor said, adding that scarcity matters: "If everyone is an expert, then no one is an expert." That dynamic has implications for builders and policymakers designing investments and training linked to AI-driven activities.