We have achieved AGI, Nvidia’s CEO Jensen Huang says

Jensen Huang thinks that general artificial intelligence (AGI) has already been achieved, but it couldn’t build another Nvidia.

Speaking on the Lex Friedman podcast, Huang, the CEO of chip giant Nvidia, the world’s most valuable company, said the timeline for AGI is now.

“I think we achieved AGI,” he said.

In the interview, Friedman described AGI as a system that is able to do Huang’s job – start, run, and grow a successful technology company that is worth more than a billion dollars.

In general, the term AGI is loosely defined as a type of superintelligence that matches or surpasses human capabilities across most, if not all, intellectual tasks. However, there’s no broad consensus on what it is and whether it can be achieved.

Huang didn’t rule out that AI systems, such as the autonomous assistant OpenClaw, could create a billion-dollar company, but it wouldn’t necessarily be successful in the long term.

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“It is not out of the question that a 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, and it went out of business again shortly after,” he said.

Huang spoke about people in China who are teaching their OpenClaw agents to find jobs and make money. However, he added that the odds of “100,000 of these agents building Nvidia is zero percent.”

It is not out of the question that a 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, and it went out of business again shortly after.

Jensen Huang

The billionaire acknowledged that people are worried about losing their jobs to AI.

“I just want to remind them that the purpose of your job, and the tasks and the tools you use to do your job, are related, not the same,” he said, adding that his 34-year career, the tools he used changed dramatically.

Is AGI even possible?

CEOs of technological companies are usually the ones claiming that AGI, which will bring abundance to everyone, is just around the corner.

Anthropic’s co-founder and president, Daniela Amodei, recently sparked discussion, saying that, by some definitions, AGI is already developed and is more capable than a human.

However, many scientists in the field doubt that AGI is even possible.

A 2025 survey of 475 AI researchers by the Association for the Advancement of Artificial Intelligence found that 76% respondents believe that “scaling up current AI approaches” to yield AGI is “unlikely” or “very unlikely” to succeed.

Some researchers argue that focusing on the highly contested topic of AGI undermines the ability to set effective goals, urging the AI research community to stop treating “AGI” as the north star of AI research.

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