Jensen Huang on Training Data
LIVE: Jensen Huang on Building the Dynamo of the Intelligence Age
Much of the discussion reprises Huang’s familiar case for reasoning, agents, AI infrastructure, energy investment, and AI-assisted employment. The standout is his concrete claim that NVIDIA already has hundreds of thousands of sandboxed agents collaborating internally, which makes this worthwhile for followers of enterprise agent deployment but skippable for anyone seeking a broadly fresh thesis.
Now that I told you that AI has become agentic, meaning that it can actually do work by itself. Well, if it can do work by itself, then one agent can communicate with another agent and say, "I have some work to do. Let's team up together and let's do some work." And now you have all these different agents and they're all working together to solve problems inside your company, say. So, inside our company, Constantine knows that we we're huge users of agentic AI. We have hundreds of thousands of agents probably running around right now that are doing work and they're talking to each other and they're solving problems. All guard railed, all sandboxed, all guard railed and sandboxed, but they're all working with each other.
Jensen Huang frames AI as a new industrial system that generates intelligence, performs useful work, and will operate through networks of specialized agents. He emphasizes investment across the AI economy's layers, urges people and countries to engage with the technology, and argues that AI will often elevate professions rather than erase them.