Y Combinator Startup Podcast What Everyone Is Getting Wrong About AI And Jobs
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Oct 14, 2025 Dive into the complex relationship between AI and jobs as Garry Tan debunks two extremes: the end of human work and mere hype. Discover how advancements in radiology have increased demand for human expertise. Explore Jevons paradox, revealing how efficiency creates latent demand. Historical examples, like containerization, illustrate technology's role in job creation. Learn how AI-driven efficiency is transforming industries, pushing founders to seize the moment and innovate beyond current expectations.
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Efficiency Reveals New Demand
- AI will transform the economy without destroying the need for human judgment and creativity.
- Efficiency gains often reveal latent demand that expands services rather than eliminates them.
Radiology Prediction That Missed The Mark
- Jeffrey Hinton predicted radiologists would be obsolete within five years but was proven wrong.
- Despite superior AI tools, demand for radiologists rose because cheaper imaging created more work.
Jevons Paradox Applies To AI
- This pattern follows Jevons paradox: efficiency can increase total consumption of a resource.
- Lower costs often expose pent-up demand and create new categories of work.