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Ethan Mollick | The Wharton School - Show Notes

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, and creative projects. He and Singer discuss testing in the age of AI and how educators can teach students to develop "durable skills" like taste, judgment, and a unique personal style. By viewing AI as a teammate rather than just a tool, Mollick suggests that teachers can reclaim hours of their week and focus on the deeply human aspects of education.

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Episode Timestamps:

00:00 — Introduction to Ethan Mollick and the pace of AI evolution 
02:26 — The "homework apocalypse" and the shift in educational thinking 
04:45 — Why today’s AI is the worst version we will ever use 
09:15 — Lessons from the 1970s calculator debate for modern curricula 
13:55 — AI literacy vs. a fundamental reshaping of human interaction 
17:30 — Developing taste and agency as essential "durable skills" 
19:00 — The Leveler, Elevator, and King-maker effects on human skill 
29:10 — The promise of the universal tutor to close equity gaps 
32:55 — Using AI to enable the flipped classroom and active learning 
36:55 — Shifting from "tool" to "teammate" in teacher workflows 
41:50 — Why AI detectors fail and the move toward in-class assessment 
45:45 — Rapid Fire: Retirement of AI literacy, Neal Stephenson, and the importance of humanities 
48:45 — A three-year vision for positive change in education

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