Episode Details

About a year ago, the Future of Everything team was in New York taping a special episode on the innovation economy in front of a live audience, and today we're re-releasing it. We sat down with computer scientist Fei-Fei Li and economists Susan Athey and Neale Mahoney to dig into how AI is reshaping creativity, jobs, education, and public policy, and where it might take us next. It's a wide-ranging, energetic conversation. Whether you're thinking about how AI might reshape your own work, or you're just curious where some of the smartest people in tech and economics think this is all headed, this one's a great listen.

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Episode Reference Links:

• Stanford Profiles: Fei-Fei Li | Neale Mahoney | Susan Athey

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Chapters:

(00:00:00) Introduction
Russ Altman introduces this re-release of a live episode featuring Fei-Fei Li, Susan Athey, and Neale Mahoney on the future of the innovation economy. 

(00:00:45) Defining the Innovation Economy
How new ideas, technologies, and commercialization are reshaping economic growth.

(00:02:13) AI as a General-Purpose Technology
What past technologies like electricity and personal computing can teach us about AI adoption. 

(00:03:23) The Bottlenecks to Adoption
Why digitization, software costs, training, and organizational change can slow the spread of new technology.

(00:06:05) AI and the Labor Market
Why uncertainty about which jobs AI will disrupt makes social safety nets especially important.

(00:08:04) Augmenting Human Work
Why Fei-Fei Li sees AI as a tool for enhancing human capabilities rather than simply replacing jobs. 

(00:11:17) Shaping Human-Centered Innovation
How innovation can be designed to complement human skills, creativity, and purpose.

(00:12:21) Universities and AI Innovation
How universities can help develop human-centered technologies and lower barriers to adoption.

(00:13:45) Government and the AI Transition
How public investment and policy could help workers adapt while expanding services like healthcare and childcare. 

(00:15:50) Rethinking Education
Why AI may