Nvidia (NVDA) Jensen Huang was seated next to US Commerce Secretary Howard Lutnick on a G20 stage on Sept. 2, recalling the first time the two of them met, when he put a number on what the world is about to spend. "You recognize that the infrastructure buildout is not going to be in the tens of billions, but is going to be in the tens of trillions," Huang said. "That supply chain security is going to be necessary."
The venue was the US-hosted G20 innovation ministerial in Chapel Hill, NC, and the chief executive was in a fireside conversation with the Commerce secretary. Sam Altman appeared at the same event. The exchange was carried live and the "tens of trillions" line went out the same afternoon across the wires.
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What went out with it, mostly, was the number stripped of who Huang says had the thought. He does not say "I believe" or "we forecast." He says “you recognize that” on camera, meaning that Lutnick understood the scale of the buildout when they first met. That is a smaller claim than a chief executive forecasting his own industry's spending, and it is a different one. It is also the only version supported by the tape.
The jump inside the sentence is worth stating plainly, because the two figures are not adjacent. Tens of billions to tens of trillions is a factor of roughly a thousand. Huang attaches no timeframe to it, and no denominator, not a share of global output, not a period of years, not a split between chips, buildings and power. A number that large without a window around it is a direction rather than a forecast.
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He was more specific about the mechanism by which any of it gets paid back, and the analogy is the most useful thing he said. "If you go back a hundred years, a couple hundred years, the world discovered this new idea called energy and you monetize it dollars per kilowatt hours," Huang said. "Today it's dollars per million tokens. It's the same idea." The claim underneath the trillions is that AI compute is a metered utility, sold by the unit, and that the unit has a price.
He also drew the distinction that makes the spending figure legible at all. "This is the first time in history that all of us have been using computer technology where you're not buying a device, but we're producing economic infrastructure," he said. Tens of trillions is not a bill for hardware in that framing. It is a bill for something closer to a grid.
The gap between that framing and what has actually been committed is the part a reader can check. Guided capital expenditure from the listed companies doing the spending. Microsoft (MSFT), Alphabet (GOOGL) (GOOG), Amazon (AMZN), Meta (META) and Oracle (ORCL), is disclosed in their filings and their earnings calls, and it adds up to a figure that can be totaled to the dollar. That total sits a very long way below tens of trillions, whatever period you choose to measure it over. Huang has separately argued there is no AI bubble on the grounds that the spending is profitable rather than that it is enormous, which is a narrower and more defensible position than the one the headlines gave him this week.
One other line from the stage is checkable and probably contestable. "I've been a tech CEO longer than any CEO in the world," Huang said. "The longest-running tech in the world. I've seen countless technology transitions in the last 40 years. And of course, this is the biggest technology platform shift in human history." Huang co-founded Nvidia in 1993 and has run it since, which is roughly 33 years.
Nvidia is the company with the most riding on the answer, and Huang is the person least able to give a disinterested one, a point that cuts both ways, since he is also the person with the best view of the order book. Altman, in the same building the same day, has his own set of numbers. What is documented is the disclosed capex. What is not documented is the tens of trillions, and Huang has now said it to a cabinet secretary in public, which at least puts it on the record where it can be measured against the filings later.
On the date of publication, Caleb Naysmith did not have (either directly or indirectly) positions in any of the securities mentioned in this article. All information and data in this article is solely for informational purposes. For more information please view the Barchart Disclosure Policy here.
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