Jensen Huang says treating AI like a person is a mistake — it's just a tool, like your vacuum cleaner

It’s easy to get swept up in the hype. Every week brings a new AI model that can write code, generate video, or hold a conversation that feels almost human. But NVIDIA CEO Jensen Huang has a simple message for anyone tempted to treat AI as more than it is: stop anthropomorphizing the machine.

In a wide-ranging conversation with LangChain founder Harrison Chase, Huang argued that AI agents are fundamentally just tools — no different from the appliances sitting in your kitchen. “This is electronics, not atoms. It’s not biological. It has no consciousness,” he said. “It’s a tool — kind of like my vacuum cleaner. We call it a dishwasher, which is a bit anthropomorphic, but we know exactly how it works.”

Huang made a bold prediction about where enterprise AI is headed: “Most companies today are built on business processes. In the future, most companies will be built on frameworks.” The shift, he suggested, is already underway as organizations move from static workflows to agent-based systems that can adapt and execute tasks autonomously.

And those sweeping fears about AI wiping out millions of white-collar jobs? Huang isn’t buying them. He pointed out that the more AI a company uses, the more people it ends up hiring. “These agent systems represent a brand new skill set. We used to have a lot of software engineers writing code — now they’re building agents. Every single one of my software engineers prefers building agents over writing Python code,” he said.

This puts Huang at odds with other tech CEOs. Anthropic CEO Dario Amodei and Amazon CEO Andy Jassy have both warned that AI could upend white-collar work in ways not seen since the Industrial Revolution. Huang, by contrast, has consistently downplayed those concerns. In a television interview back in May, he argued that many people miss the fact that AI’s first-order effect is job creation. “AI will create jobs. It’s America’s best opportunity for reindustrialization,” he said.

The conversation comes at a time when companies are racing to deploy AI agents in everything from customer service to software development. Huang’s framing — AI as an appliance, not a colleague — offers a grounded counterpoint to the breathless rhetoric surrounding artificial general intelligence. Whether or not his job-creation thesis holds up, his point about keeping AI in perspective is harder to argue with. After all, nobody worries about their dishwasher taking over the world.