Fei-Fei Li: In 10 Years There Will Be Only 2 Kinds of Workers

Fei-Fei Li: In 10 Years There Will Be Only 2 Kinds of Workers

From Silicon Valley Girl: AI, Tech and Career Growth by Marina Mogilko

June 25, 2026 · 47 min

About this episode

Dr. Fei-Fei Li discusses the future of work and AI's limitations in understanding physical space.

Dr. Fei-Fei Li created ImageNet — the dataset that triggered the deep learning revolution. Now she runs World Labs, where she just raised $1 billion to teach AI something it still can't do: understand physical space. She was named Time Person of the Year in 2025 and won the Queen Elizabeth Prize for Engineering. David Rogier founded MasterClass in 2015 on the idea that everyone should have access to world-class teachers. He has an MBA from Stanford and now builds all his own work tools with Claude Code instead of buying software — including a to-do list app that auto-deletes anything sitting on the list for more than a day and a half. In this episode, we get into what AI can already do and what it still can't, why the two loudest takes on AI — that it'll save the world, and that it'll take all the jobs — are both wrong, and what your kids' schooling and your own career actually look like in 10 years. We cover: Why Fei-Fei Li says "the cost of intelligence goes to zero" is an irresponsible claim — and what human intelligence actually includes beyond language Spatial intelligence: the four things AI still can't do (understand, reason about, generate, and interact with 3D…

People in this episode

Host: Marina Mogilko

Guest: Fei-Fei Li

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Organizations: ImageNet, World Labs, MasterClass, Stanford

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