# Ethan Mollick | The Wharton School

Page: https://stenobird.com/podcast/the-education-equation-with-jeremy-singer-7488395/ethan-mollick-the-wharton-school
Text version: https://stenobird.com/podcast/the-education-equation-with-jeremy-singer-7488395/ethan-mollick-the-wharton-school.md
Podcast: [The Education Equation with Jeremy Singer](https://stenobird.com/podcast/the-education-equation-with-jeremy-singer-7488395)
Published: 2026-05-01T09:00:00+00:00
Episode link: https://traffic.megaphone.fm/PLMD8901618952.mp3
Audio file: https://traffic.megaphone.fm/PLMD8901618952.mp3
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JSON: https://stenobird.com/v1/public/podcasts/the-education-equation-with-jeremy-singer-7488395/episodes/ethan-mollick-the-wharton-school
Duration seconds: 3067

## Resource

AI and the Future of Learning with Ethan Mollick Jeremy Singer sits down with Ethan Mollick, professor at the University of Pennsylvania's Wharton School and author of Co-Intelligence: Living and Working with AI, a New York Times bestseller and a best book of the year from The Economist and Financial Times. Mollick is a defining voice in the AI space, testing generative tools in real-world classrooms and authoring the widely read newsletter One Useful Thing. He is the Ralph J. Roberts Distinguished Faculty Scholar, Rowan Fellow, and Associate Professor at the Wharton School, where he directs the Generative AI Lab and studies the effects of AI on work, entrepreneurship, and education. He was named one of TIME Magazine's Most Influential People in Artificial Intelligence. Despite the rapid pace of development, Mollick argues that the AI we use today is the worst it will ever be, necessitating a proactive shift from denial to engagement. In this episode, he explains why the "homework apocalypse" is already here and how the traditional writing assignment has been fundamentally disrupted. The discussion moves beyond simple prompt engineering to explore the "jagged frontier" of AI capability, where the technology excels at complex tasks while occasionally stumbling on simple ones. Mollick and Singer break down the varying impacts of AI on human performance, describing it as a leveler for those with skill gaps and a "king-maker" for experts who can leverage the tool to achieve massive productivity gains. The conversation also tackles the existential questions of human agency and the future of assessment. Mollick advocates for a "flipped classroom" model where AI serves as an infinitely patient universal tutor outside of school, leaving class time for active learning, debates,…

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