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Jensen Huang

What Jensen Huang thinks about AI agents

@jensen-huang · 86 positions · On ppll ↗

Co-founder and CEO of NVIDIA since 1993.

Jensen Huang did not write this page.

We collected these quotes from things they published elsewhere, and every quote links to where it was said. They have no account here and have not endorsed this site. Quotes are word for word; the short line under each one is our own restatement, not their wording. Their own site. Is this you? Claim it or ask us to remove it. Or tell us what is wrong here.

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Only Jensen Huang on AI agents. See everyone on AI agents

5 dated positions, 2026, in their own words. Our reading of what Jensen Huang has said — not written or endorsed by them.

  1. Our readingControllability, not accuracy, is the single biggest breakthrough agents still need — an agent that is right most of the time is useful if you can steer it the rest of the way.

    Their wordsWe don't need the the agents to be 100% accurate, 100% high quality in order for us to use it. It could, you know, literally be 80% and then we help it the rest of the way, or it could be 99% we help it the rest of the way. And so I I think controllability is probably the single biggest breakthrough that we need for agents at every single level.

    ↗Jensen Huang: The Mindset That Built NVIDIAyoutube.com 10th of 20 in this recording

  2. 3 months earlier

  3. Our readingAI will not commoditise software tools; it will multiply them, because every new agent is another tool user.

    Their wordsI actually see the opposite of what people see I think the number of agents are going to grow exponentially. The number of tool users are going to grow exponentially and it's very likely that the number of instances of all these tools are going to skyrocket.

    ↗Jensen Huang – Will Nvidia’s moat persist?youtube.com 2nd of 24 in this recording

  4. 3 weeks earlier

  5. Our readingAfter pre-training, post-training and test-time scaling, the fourth scaling law is agentic: multiplying AI by spawning agents, and the whole loop scales on one thing, compute.

    scaling laws

    Their wordsAnd so the next scaling law is the agentic scaling law. It's kind of like multiplying AI. Multiplying AI, we could spin off agents as fast as you want to spin off agents. And so, you know, I… You know, I have four scaling laws.

    ↗Jensen Huang: NVIDIA - The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494youtube.com 4th of 23 in this recording

  7. Our readingThe idea that AI will destroy software and make tools unnecessary is ridiculous: an agent, like a humanoid in your kitchen, will use the tools that already exist.

    robotics

    Their wordsYou know, a lot of people would say, "You know AI is gonna completely destroy software. We don't need software anymore. We don't even need tools anymore." That's ridiculous.

    ↗Jensen Huang: NVIDIA - The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494youtube.com 6th of 23 in this recording

  9. Our readingOpenClaw did for agentic systems what ChatGPT did for generative ones.

    OpenAI

    Their wordsAnd I think OpenClaw did for agentic systems what ChatGPT did for generative systems. And I just think it's a very big deal.

    ↗Jensen Huang: NVIDIA - The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494youtube.com 7th of 23 in this recording