Box CEO Aaron Levie explains the economic Jevons paradox of AI to Joe Lonsdale, arguing that automating tasks leads to higher baseline expectations rather than net employment collapse.
“So if you believe in job destruction, like in any kind of very large scale way, you basically don't believe that markets adapt and you basically don't believe that some other company will emerge and say, I'm gonna just do this way better. And the way I'm going to do it way better is by adding people time again into the process with really, really high judgment, and they're going to go and find a way to use these tools to differentiate my product or my service or my marketing better than the competition, which then raises the bar for everybody else.”
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More from Aaron Levie
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Levie: China's open source AI is only 1-3 months behind US frontier
“There's an open source ecosystem in, in China that is near neck and neck. Let's say at least still maybe kind of, you know, one to three months behind, but not a year or two years behind.”
Levie: Scaling to $100M Revenue in Two Years Is Unprecedented in Software
“Obviously you have companies going from zero to a hundred million or five hundred million in revenue in, you know, one to two years. Like this has never happened before in software. Or kind of technology broadly.”
Levie: Diffusing AI into enterprise workloads will take 10 to 20 years
“And the only kind of caveat is, like, that's going to probably take, like, 10 to 20 years. Not just because of model progress, but because of the rollout of all this.”
Levie: Real-World Diffusion, Not Intelligence, Is AI's Ultimate Rate Limiter
“Diffusion actually is, like, your biggest rate limiter, and diffusion is, like, a human, Has to get the intelligence from the model plus probably their data, and then they have to go interact with the real world and do something in the real world, and then bri…”
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