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Alex Imas on Why Economists Might Be Getting AI Wrong

Tracy Alloway, Joe Weisenthal
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⚡ Quantum Brief
Economist Alex Imas challenges the assumption that AI’s labor disruption will mirror past technologies like the steam engine, warning its impact may be fundamentally different due to unprecedented speed and scale. Imas, a University of Chicago professor, argues AI’s rapid advancement could outpace labor market adaptations, preventing the typical rebound seen with earlier general-purpose technologies. His research suggests certain jobs—particularly those relying on predictable, data-driven tasks—face higher displacement risks, with fewer obvious pathways for workers to transition into new roles. Unlike previous industrial revolutions, AI’s ability to automate cognitive tasks could reshape demand structures permanently, limiting traditional economic recovery mechanisms like job creation in new sectors. The interview highlights a critical shift: AI may not just replace tasks but entire occupations, forcing economists to rethink long-held models of technological unemployment and recovery.
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Connecting decision makers to a dynamic network of information, people and ideas, Bloomberg quickly and accurately delivers business and financial information, news and insight around the worldAmericas+1 212 318 2000EMEA+44 20 7330 7500Asia Pacific+65 6212 1000Connecting decision makers to a dynamic network of information, people and ideas, Bloomberg quickly and accurately delivers business and financial information, news and insight around the worldAmericas+1 212 318 2000EMEA+44 20 7330 7500Asia Pacific+65 6212 1000The AI Race:Maybe it really is a threat to work. Listen to Odd Lots on Apple PodcastsListen to Odd Lots on SpotifyWatch Odd Lots on YouTubeSubscribe to the newsletterEveryone knows that new technologies can be really disruptive to the labor market, but eventually new jobs emerge and things come back into balance. And there is a sense in which many view AI with the same lens. Yes, there will be pain in some sectors, but then there will be productivity gains and new sources of demand and new opportunities for labor that we can't conceive of yet. But could it be different this time? Could AI be disruptive in a manner that, say, the steam engine was not? On this episode we speak with Alex Imas, a professor at the University of Chicago focusing on economics and applied AI. We talk about his work on the AI and labor question, how to think about which jobs may be most at risk, and why the sheer speed of AI development could make it categorically different than prior general purpose technologies that came before it.

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