AI

Jensen Huang: “The definition of smart… I find that that’s a commodity”

NVIDIA's CEO says technical intelligence is now cheap — which is convenient, because his company is the one that made it cheap.
Adrian Kessler

Jensen Huang has built his career on machines that do the thinking humans used to be paid to do. So it carries a particular weight when the head of NVIDIA sits for a rare, unguarded interview, gets asked to name the smartest person he has ever met, and refuses — not out of modesty, but because he thinks the very thing we mean by smart has stopped being scarce.

“The definition of smart is somebody who’s intelligent, solves problems, technical. But I find that that’s a commodity,”

He said it on Jodi Shelton’s podcast A Bit Personal, turning a softball question into a small thesis about what intelligence is worth now. His example was the one closest to home. “Everybody thought software programming is the ultimate smart profession,” he said. “Look, what is the first thing that AI is solving? Software programming.” The skill once treated as the summit of technical intellect is the first thing the machines came for.

On the mechanism, he is right. When a capability can be produced at scale for almost nothing, it stops being a differentiator — that is what commodity means. And that is precisely what NVIDIA’s silicon has been doing to raw problem-solving: turning a scarce human talent into something you rent by the hour. Huang has watched cognition get cheap up close, because he is the one selling the equipment that cheapens it.

Which is exactly why the second half of his argument deserves a harder look. In place of technical smarts he elevates the human residue — empathy, experience, wisdom, the instinct to anticipate. “People who are able to see around corners are truly, truly smart,” he said. It is a humane list, and probably a correct one. It is also, conveniently, the one set of capabilities his hardware cannot yet touch. The scarce resource in Huang’s telling is the single thing NVIDIA does not sell — so praising it costs him nothing and flatters everyone in the room.

None of that makes him wrong; it makes him interested. If the floor of technical competence keeps rising because machines keep supplying it, the premium really does migrate upward — to judgment, taste, and the ability to sense what has not happened yet. That is a genuine read of where value is heading. The discomfort is only in the source: we are taking the map of the new terrain from the company bulldozing the old one. Huang is not a witness to the commoditization of intelligence. He is its principal vendor, describing a world he is being paid to build.

So take the advice, but keep the receipt. If technical intelligence is now a commodity, someone is getting very rich selling the commodity — and it is the same man telling you to go be human instead.

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