From giving predictions about when AGI will arrive, tech executives have quietly begun saying that it — at least in some forms — is already here.
NVIDIA CEO Jensen Huang made that case on the Lex Fridman podcast, in response to a question about whether an AI system could start, grow, and run a successful technology company worth more than a billion dollars. His answer was blunt: we’re already there. “I think it’s now. I think we’ve achieved AGI.”
The reasoning he offered was more nuanced than the headline suggests. Huang’s argument hinges on the constraints of the definition: a billion-dollar company, not a permanent one.
“You said billion and you didn’t say forever. It is not out of the question that a (Open) Claw was able to create a web service — some interesting little app that all of a sudden a few billion people used for 50 cents. It went out of business again shortly after.”
He drew a direct parallel to the dot-com era. “We saw a whole bunch of those type of companies during the internet era, and most of those websites were not anything more sophisticated than what an AI could generate today.” The criteria, in his framing, are virality and monetisation — not longevity.
Fridman noted that this would get a lot of people excited. Huang didn’t disagree, but he also grounded the claim in what’s already happening on the ground.
“By the way, it’s happening right now. When you go to China, you’re going to see a whole bunch of people getting their Claws to try to go out and look for jobs and do work, make money.”
He then sketched out the kind of company he imagined an AI could build and run — one that doesn’t require sustained competitive moats, just a moment of cultural resonance:
“I wouldn’t be surprised if somebody created a digital influencer — super, super cute — or some social application that feeds your little Tamagotchi or something like that. And it becomes, out of the blue, an instant success. A lot of people use it for a couple of months and it kind of dies away.”
Huang’s framing is deliberately narrow — and that’s precisely the point. By defining AGI as the ability to create a billion-dollar company rather than run one indefinitely, he sidesteps the harder questions about sustained reasoning, planning, and judgment that most researchers associate with general intelligence. It’s a useful provocation, not a settled claim.
But the provocation lands because the underlying trend is real. Autonomous AI agents are rapidly moving from experiment to infrastructure. At Cursor, over a third of merged pull requests are now generated by autonomous agents. Bajaj Finance has deployed AI voice agents that now account for 10% of its loan disbursements. Meanwhile, Manus — an autonomous agent that crossed $100 million ARR in eight months — was acquired by Meta. The pattern Huang is describing, AI systems executing economically meaningful work with minimal human supervision, is not speculative. It is in production.
The more contested question is whether any of this constitutes intelligence, general or otherwise, or whether it’s sophisticated pattern-matching scaled to commercial use. Huang’s billion-dollar threshold conveniently avoids that debate. What it does capture is something more immediate: that the gap between “AI tool” and “AI business” is closing faster than most people expected.