Nvidia Wants Jensen Huang’s New Catchphrase to Be True

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

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

Whereas very spectacular, the quantity shouldn’t be all that shocking provided that world AI spending is predicted to achieve $2.5 trillion this yr, and Nvidia’s largest clients, the key AI hyperscalers Amazon, Alphabet, Meta, and Microsoft, all reported file 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 traders who’ve been rising cautious of AI spending.

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

And regardless of the file after file multibillion-dollar dedication made to scale AI infrastructure and develop the expertise’s adoption throughout the American economic system, the outcomes are but to completely materialize. A Goldman Sachs analyst not too long ago stated that AI contributed “basically zero” to U.S. GDP in 2025.

Nvidia CEO Jensen Huang spent most of his time within the investor name making an attempt to justify that capex progress.

“I’m assured of their money stream rising, and the rationale for that’s quite simple: now we have now seen the inflection of agentic AI and the usefulness of brokers the world over in enterprises in all places,” Huang stated.

AI adoption by enterprises past the tech world, and whether or not these corporations truly see actual productiveness good points and income returns from AI integration, is absolutely vital 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 influence on employment or productiveness.

Final week, OpenAI COO Brad Lightcap advised 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 possibly even white-collar work. Huang gave a particular shout-out to Claude Cowork within the name as properly.

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

“On this new world of AI, compute equals revenues,” Huang stated, a phrase that he repeated many occasions all through the decision. Huang argues that tokens, aka the chunks of knowledge that AI fashions course of, are a very powerful 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 complicated, the demand for computing can also be going up “exponentially,” Huang stated. He argued that the capex commitments will go in direction of constructing this compute capability, which can thus energy higher-level fashions and translate to income.

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

Huang’s justifications might not have instantly satisfied the market. Despite the fact that shares rose at first in response to the report, after the decision, good points finally 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 handle 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 levels after months. Then, two back-to-back studies claimed that Huang was privately criticizing OpenAI’s enterprise strategy whereas OpenAI was sad with the inference velocity of Nvidia’s chips.

Within the name on Wednesday, Huang repeatedly praised the AI big’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 stated on the decision. The submitting additionally refuses to provide 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 begin delivery 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 aren’t factoring it into the income they count on this yr.