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Nvidia CEO Jensen Huang rejects talk of AI bubble: ‘We see something very different’

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Nvidia CEO Jensen Huang rejects talk of AI bubble: 'We see something very different'

Jensen Huang, chief executive officer of Nvidia Corp., during the US-Saudi Investment Forum at the Kennedy Center in Washington, DC, US, on Wednesday, Nov. 19, 2025.

Stefani Reynolds | Bloomberg | Getty Images

In the weeks leading up to Nvidia’s third-quarter earnings report, investors debated whether the markets were in an AI bubble, fretting over the massive sums being committed to building data centers and whether they could provide a long-term return on investment.

During Wednesday’s earnings call with analysts, Nvidia CEO Jensen Huang began his comments by rejecting that premise.

“There’s been a lot of talk about an AI bubble,” Huang said. “From our vantage point we see something very different.”

In many respects, Huang’s remarks are to be expected. He’s leading the company at the heart of the artificial intelligence boom, and has built its market cap to $4.5 trillion because of soaring demand for Nvidia’s graphics processing units.

Huang’s smackdown of bubble talk matters because Nvidia counts every major cloud provider — Amazon, Microsoft, Google, and Oracle — as a customer. Most of the major AI model developers, including OpenAI, Anthropic, xAI and Meta, are also big buyers of Nvidia GPUs.

Read more CNBC reporting on AI

Huang has deep visibility into the market, and on the call he offered a three-pronged argument for why we’re not in a bubble.

First, he said that areas like data processing, ad recommendations, search systems, and engineering, are turning to GPUs because they need the AI. That means older computing infrastructure based around the central processor will transition to new systems running on Nvidia’s chips.

Second, Huang said, AI isn’t just being integrated into current applications, but it will enable entirely new ones.

Finally, according to Huang, “agentic AI,” or applications that can run without significant input from the user, will be able to reason and plan, and will require even more computing power.

In making the case of Nvidia, Huang said it’s the only company that can address the three use cases.

“As you consider infrastructure investments, consider these three fundamental dynamics,” Huang said. “Each will contribute to infrastructure growth in the coming years.”

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“The number will grow,” CFO Colette Kress said on the call, saying the company was on track to hit the forecast.

Prior to Wednesday’s results, Nvidia shares were down about 8% this month. Other stocks tied to the AI have gotten hit even harder, with CoreWeave plunging 44% in November, Oracle dropping 14% and Palantir falling 17%.

Some of the worry on Wall Street has been tied to the debt that certain companies have used to finance their infrastructure buildouts.

“Our customers’ financing is up to them,” Huang said.

Specific to Nvidia, investors have raised concerns in recent weeks about how much of the company’s sales were going to a small number of hyperscalers.

Last month, Microsoft, Meta, Amazon and Alphabet all lifted their forecasts for capital expenditures due to their AI buildouts, and now collectively expect to spend more than $380 billion this year.

Huang said that even without a new business model, Nvidia’s chips boost hyperscaler revenue, because they power recommendation systems for short videos, books, and ads.

People will soon start appreciating what’s happening underneath the surface of the AI boom, Huang said, versus “the simplistic view of what’s happening to capex and investment.”

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Asian chip names rally as Nvidia forecasts hotter-than-expected sales after earnings beat

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Asian chip names rally as Nvidia forecasts hotter-than-expected sales after earnings beat

C. C. Wei, chief executive officer of Taiwan Semiconductor Manufacturing Co. (TSMC), left, and Jensen Huang, chief executive officer of Nvidia Corp., during the TSMC sports day event in Hsinchu, Taiwan, on Saturday, Nov. 8, 2025.

Bloomberg | Bloomberg | Getty Images

Asian chip stocks rallied in early trading Thursday after American AI chip darling Nvidia beat Wall Street expectations and issued stronger-than-expected guidance for the fourth quarter. 

South Korea’s SK Hynix popped around 4%. The memory chip maker is Nvidia’s top supplier of high-bandwidth memory used in AI applications. 

Samsung Electronics, which also supplies Nvidia with memory, was also up nearly 4%. The company has been working to catch up to SK Hynix in high-bandwidth memory to land more contracts with Nvidia. 

Taiwan Semiconductor Manufacturing Company, the world’s largest contract chipmaker, which produces most of Nvidia’s chip designs, rose 4% in Taipei.

“We expect Nvidia’s results to drive higher earnings estimates across the sector, including for its primary GPU supplier TSMC, memory vendors SK Hynix and Samsung, and the broader Asian subcomponent and assembly value chain,” Rolf Bulk, equity research analyst at New Street Research, told CNBC.

In Tokyo, Renesas Electronics, a key Nvidia supplier, added about 4%. Tokyo Electron, which provides essential chipmaking equipment to foundries that manufacture Nvidia’s chips, gained 5.87%. Another Japanese chip equipment maker, Lasertec, was up about 6%. 

Japanese tech conglomerate SoftBank skyrocketed nearly 7%, though the firm recently offloaded its shares of Nvidia. Softbank owns the majority of British semiconductor company Arm, which supplies Nvidia with chip architecture and designs.

SoftBank is also involved in a number of AI ventures that use Nvidia’s technology, including the $500 billion Stargate project for data centers in the U.S.

Nvidia’s sales and outlook are closely watched by the technology industry as a sign of the health of the AI boom, and its strong earnings could ease recent fears regarding an AI bubble.  

“There’s been a lot of talk about an AI bubble,” Nvidia CEO Jensen Huang told investors on an earnings call. “From our vantage point, we see something very different.”

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Nvidia says there’s ‘no assurance’ of final agreement with OpenAI despite $100 billion pact

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Nvidia says there's 'no assurance' of final agreement with OpenAI despite 0 billion pact

Two months ago Nvidia CEO Jensen Huang and OpenAI CEO Sam Altman stood side by side in San Jose, California, to announce a historic agreement between the two leaders in artificial intelligence.

Nvidia would invest $100 billion over a number of years, starting in 2026, as OpenAI’s AI supercomputing facilities come online, the duo said. The timing of the buildouts and the cost of each data center weren’t disclosed.

But in Nvidia’s quarterly financial report on Wednesday, the chipmaker reminded investors that there’s a big difference between an announcement and a contract.

“There is no assurance that we will enter into definitive agreements with respect to the OpenAI opportunity or other potential investments, or that any investment will be completed on expected terms,” Nvidia said in the risk factors section of its quarterly filing.

Nvidia has been on an investing binge of late, putting its ever-expanding cash hoard to use, and financially supporting companies that buy its graphics processing units, or GPUs. In addition to the OpenAI arrangement, Nvidia on Wednesday highlighted its $5 billion commitment to invest in Intel during the quarter and its agreement this week to invest up to $10 billion in Anthropic.

An OpenAI spokesperson didn’t provide a comment but pointed to Huang’s statements on the call, including his description of OpenAI as a “once-in-a-generation company” and his expectation that the investment will “translate to extraordinary returns.”

“There is no assurance that any investment will be completed on expected terms, if at all,” Nvidia said.

The key difference with OpenAI is the scale of the planned investment and the benchmarks that would need to be met for all the money to come through. A source told CNBC at the time of the announcement that an initial $10 billion would be available to OpenAI soon to help the company work towards deploying its first gigawatt of capacity.

Altman said recently that OpenAI will end the year on a $20 billion annualized revenue run rate, which is a massive number considering its flagship ChatGPT product is only three years old. Altman said the company expects to reach hundreds of billions of dollars in revenue by 2030. But that figure doesn’t come anywhere close to covering the company’s expenses.

In total, OpenAI has announced roughly $1.4 trillion in infrastructure spending with a number of partners as it seeks to continue building out its AI models and services. To get there, the company is reliant on outside capital.

Despite the uncertainty of the September agreement, Nvidia executives continue to sound bullish on the company’s work with OpenAI. On Nvidia’s earnings call, after the chipmaker reported a solid revenue and earnings beat along with stronger-than-expected guidance, CFO Colette Kress touted OpenAI’s growth.

“OpenAI recently shared that their weekly user base has grown to 800 million, enterprise customers has increased to 1 million and that their gross margins were healthy,” Kress said. She added that the two companies are “working on a strategic partnership” and that Nvidia is “focused on helping them build and deploy at least 10 gigawatts of AI data centers.”

And Huang said, “Everything that OpenAI does runs on Nvidia today.”

An OpenAI spokesperson didn’t provide a comment, but pointed to Huang’s commentary on the call, including his description of OpenAI as a “once-in-a-generation company” and his expectation that the investment will “translate to extraordinary returns.”

There’s no question that as OpenAI builds out data centers, it will keep spending money on Nvidia’s chips. But OpenAI has also partnered with Nvidia rival Advanced Micro Devices, agreeing last month to deploy 6 gigawatts of AMD’s Instinct GPUs over multiple years and across multiple generations of hardware, beginning in the second half of next year.

The AMD agreement has one critical component that Nvidia’s lacks: signatures.

As part of the pact, the company has issued OpenAI a warrant for up to 160 million shares of the chipmaker’s common stock, with vesting milestones tied to deployment volume and AMD’s share price. That agreement was signed on Oct. 5, by AMD CFO Jean Hu and OpenAI CFO Sarah Friar.

— CNBC’s MacKenzie Sigalos and Ashley Capoot contributed to this report.

WATCH: Nvidia revenue bigger story than gross margins moving forward

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