AI Won’t Decide the Future of Work—We Will (with David Autor)

Every wave of new technology has come with the same promise: productivity rises, and everyone benefits. That’s not how it usually plays out. This week, we’re resharing our conversation with MIT economist David Autor, one of the world’s leading experts on how technological change reshapes labor markets. Autor challenges the familiar story that innovation inevitably destroys good jobs, arguing instead that AI could expand human expertise and help rebuild pathways into the middle class — if the gains are broadly shared. As companies race to adopt AI and workers wonder what comes next, this episode offers a clearer way to think about the future of work: technology doesn’t determine economic outcomes. The rules we build around it do.

Trade Wars, Class Wars & Globalization: Unpacking The Truth About Trade (featuring David Autor & Marc Palen)

In this kickoff to our special series on trade, Nick and Goldy unpack why trade policy isn’t just about tariffs and treaties—it’s about people, power, and priorities. For decades, the dominant story has been that trade helps everyone by lowering prices. But the real question is: who does it help, and who does it hurt? From the false promises of globalization to the overlooked damage in hollowed-out communities, this episode sets the stage for exploring a fresh way to think about trade—one grounded in power dynamics, democratic values, and middle-out economics.

How AI Could Help Rebuild The Middle Class (with David Autor)

This week, Nick and Goldy discuss the future of AI and its potential impact on labor markets and society with MIT professor and economist David Autor. While many pundits predict that AI will bring economic misery to working Americans, Autor optimistically argues that AI could empower the middle class by augmenting human expertise, unlocking new solutions to complex problems, and enabling individuals with fewer formal skills to excel in areas requiring advanced knowledge. Professor Autor also underscores the need for targeted investments, labor market supports, and thoughtful regulations to ensure the benefits of AI are widely and equitably distributed rather than concentrated among a privileged few. It’s a fascinating discussion about the future of AI that tackles the pressing questions about its ethical deployment, the risks of monopolization, and the societal shifts required to harness it for the greater good.