Aaron Levie has spent two decades building Box into a cloud storage leader — and he's never been more excited for the future. What's next in the AI wave? Where is he already seeing evidence for new job creation? What do the doomers and accelerationists both get wrong? And why is Silicon Valley's biggest AI challenge self-inflicted?
We discuss these topics and more in this week's episode with Aaron. Originally a college project to access his files from anywhere, Aaron dropped out of USC in 2005 to build Box. He raised his first funding from Mark Cuban and pivoted to the enterprise. Today, Box is a multi-billion dollar company serving 120,000 global customers, and Aaron has become one of tech's leading voices on AI in the enterprise.
We begin our conversation with the state of model progress and the unprecedented speed of the AI era — companies going from zero to $500M in revenue in a year or two. We also discuss the Kimi K3 debate and China closing the gap on the U.S. in the AI race. Next, Aaron explains why diffusion, not intelligence, is the real rate limiter for AI adoption, and what the challenges will be at the enterprise level. Then we dive into the jobs debate: Aaron explains the 13 new types of jobs AI has created at Box, why law firms now need teams of engineers for their own custom AI models, and why mass job destruction means betting against markets themselves. Finally, we tackle Silicon Valley's self-inflicted AI crisis and why it may become the number one issue of the next presidential election.
(00:00) Episode intro
(01:15) AI wave / every two months is a year now
(06:30) China, Kimi K3 & open-source debate
(10:45) Diffusion is the real rate limiter
(15:50) Agent-first startups vs incumbents
(19:00) Nobody reads those contracts — AI’s new work
(23:35) Silicon Valley’s AI Problem / Larry David making AI models
(29:20) 13 new types of AI jobs at Box
(32:20) The origins of Box / dropping out of college
(37:00) Favorite angel investments right now
(40:20) Optimism for America’s future
