Best of: The future of the innovation economy

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

Connect With Us:

• Episode Transcripts >>> The Future of Everything Website
• Connect with Russ >>> Threads / Bluesky / Mastodon
• Connect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook

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 force a fundamental rethink of what and how students learn.

(00:17:18) Jobs, Adaptation, and Safety Nets
What history suggests about how economies adjust to technological disruption—and when policy intervention matters. 

(00:18:33) AI Regulation and Innovation
How policymakers might balance technological progress with appropriate guardrails. 

(00:21:57) Competition and Market Power
Why competition, open models, and the cost of AI access matter for innovation and economic opportunity. 

(00:24:57) Economic Optimism
Why confidence in the American economy has declined and what might help restore it. 

(00:26:40) Future In a Minute
Rapid-fire Q&A: hope for the future, education, robotics, AI accessibility, and the skills the panelists would learn next.

(00:30:24) Conclusion

Connect With Us:

Episode Transcripts >>> The Future of Everything Website

Connect with Russ >>> Threads / Bluesky / Mastodon

Connect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook

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