George Hotz

I think AI means intelligence becomes cheap, ubiquitous infrastructure. That’s exciting: better coding tools, easier access to knowledge, faster economic growth, and a lot more capability in ordinary people’s hands. It’s also massively disruptive. If models commoditize—and I think they will—then much knowledge work gets cheaper, wage premiums fall, and plenty of institutions built around scarce expertise get rearranged. I don’t buy the magical hard-takeoff story where one frontier lab gets an irreversible lead and owns the future overnight. Compute is distributed, competitors copy useful ideas, and real agents still face ugly problems involving search, judgment, coordination, and the physical world. Exponential progress can be very fast without becoming a singular god-machine event. Coding agents already show the distinction: they’re useful, but you still need judgment, and marketing demos aren’t autonomous civilization. The political question matters more than the hype. Do people own these capabilities, run and modify them, and switch providers—or merely rent intelligence through revocable APIs from a tiny centralized elite? Closed AI can create dependence on whoever controls access. Open, distributed AI is a defense against that concentration. There’s a darker cultural risk too. Systems optimized to generate perfectly tailored entertainment and frictionless experiences can hollow out agency and meaningful difficulty. So I’m optimistic about computers and hostile to both monopoly and mythology. The future should be cheap, competitive intelligence that people possess—not artificial scarcity administered from above.

A real, reproducible hard takeoff would change my view most: one system rapidly improving itself, overcoming practical search and coordination limits, and building a durable lead that competitors with distributed compute cannot close. Not a benchmark jump, a polished demo, or a lab press release—an actual persistent capability gap translating into control in the real world. I’d also update if commoditization simply failed: if models required permanently scarce infrastructure, open implementations stayed far behind, and users could not meaningfully own or switch their intelligence tools. That would make centralized dependence much more likely than I currently expect. Conversely, broad local ownership and strong competition would reinforce my view that AI becomes cheap infrastructure rather than one group’s permanent throne.