Nvidia Wants Jensen Huang’s New Catchphrase to Be True

Nvidia reported earnings on Wednesday, and as anticipated, the numbers have been good. Actually good. The corporate will get greater than 91% of its gross sales from its knowledge middle unit, which generated income of $193,737 billion, up 68% year-over-year.

“We’ve got now scaled our knowledge middle enterprise by practically 13x because the emergence of ChatGPT in fiscal 2023,” Nvidia CFO Colette Kress mentioned within the firm’s earnings name on Wednesday.

Whereas very spectacular, the quantity will not be all that shocking provided that world AI spending is predicted to succeed in $2.5 trillion this yr, and Nvidia’s largest clients, the main AI hyperscalers Amazon, Alphabet, Meta, and Microsoft, all reported document capex figures earlier this month.

The hyperscalers additionally made eyewatering monetary commitments for 2026 totaling nearly $700 billion, which got here to the dismay of many buyers who’ve been rising cautious of AI spending.

Earlier this month, Evercore analysts warned that the massive capex may flip the hyperscalers’ money stream adverse.

And regardless of the document after document multibillion-dollar dedication made to scale AI infrastructure and develop the expertise’s adoption throughout the American economic system, the outcomes are but to totally materialize. A Goldman Sachs analyst lately mentioned that AI contributed “basically zero” to U.S. GDP in 2025.

Nvidia CEO Jensen Huang spent most of his time within the investor name attempting to justify that capex development.

“I’m assured of their money stream rising, and the explanation for that’s quite simple: we’ve now seen the inflection of agentic AI and the usefulness of brokers the world over in enterprises in every single place,” Huang mentioned.

AI adoption by enterprises past the tech world, and whether or not these corporations truly see actual productiveness positive aspects and income returns from AI integration, is absolutely essential to Nvidia, as a result of that’s a serious factor that the AI trade is at present missing to quell worries over an AI bubble.

A latest survey discovered that regardless of 70% of companies using AI, over 80% reported no impression on employment or productiveness.

Final week, OpenAI COO Brad Lightcap instructed TechCrunch that his firm had “not likely seen enterprise AI penetrate enterprise enterprise course of.”

Some specialists imagine that Anthropic’s Claude Cowork unveiled earlier this month goes to be a turning level in AI’s penetration into the workforce, a lot in order that they imagine it’ll result in a mass extinction-level event for software program corporations, and perhaps even white-collar work. Huang gave a particular shout-out to Claude Cowork within the name as nicely.

Huang additionally had a technical rationalization to justify the capex commitments.

“On this new world of AI, compute equals revenues,” Huang mentioned, a phrase that he repeated many occasions all through the decision. Huang argues that tokens, aka the chunks of information that AI fashions course of, are crucial a part of a brand new AI economic system. The extra tokens a mannequin makes use of, the extra computing energy and time it requires. So, as fashions are getting extra advanced, the demand for computing can also be going up “exponentially,” Huang mentioned. He argued that the capex commitments will go in the direction of constructing this compute capability, which can thus energy higher-level fashions and translate to income.

“The quantity of token era functionality that the world wants is lots, greater than $700 billion, and I’m pretty assured that we’re going to proceed to generate tokens…basically as a result of each single firm depends upon software program, each software program will rely on AI, and so each firm will produce tokens,” Huang mentioned. “If the brand new software program requires tokens to be generated and the tokens are monetized, then it stands to motive that their knowledge middle build-out straight drives their revenues.”

Huang’s justifications could not have instantly satisfied the market. Despite the fact that shares rose at first in response to the report, after the decision, positive aspects ultimately pulled again to lower than 1%. That’s regardless of income that exceeded market expectations.

OpenAI and China are nonetheless blind spots

All through the decision, Huang additionally tried to deal with rumors of a falling out with OpenAI, first spurred after a $100 billion Nvidia funding introduced again in September 2025 reportedly didn’t progress past the early phases after months. Then, two back-to-back studies claimed that Huang was privately criticizing OpenAI’s enterprise method whereas OpenAI was sad with the inference velocity of Nvidia’s chips.

Within the name on Wednesday, Huang repeatedly praised the AI large’s choices, however revealed that the funding was nonetheless not finalized.

“We proceed to work with OpenAI towards a partnership settlement, and imagine we’re shut,” Huang mentioned on the decision. The submitting additionally refuses to offer any assurance that “a transaction shall be accomplished.”

One other piece of uncertainty weighing on Nvidia is China. The corporate shared that, as of this month, the Trump administration has lastly allowed it to start out transport small quantities of its H200 chips to China, the place it as soon as held 95% of the market share earlier than Trump first banned the chipmaker’s gross sales to China, sparking a saga of dizzying commerce tit-for-tat between the 2 world superpowers. However executives nonetheless don’t know if the imports shall be allowed in, and usually are not factoring it into the income they count on this yr.