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. Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu. 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 Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
