Nvidia Expects to Make $1 Trillion From AI Chips Through ’27

Nvidia Corp., the company at the center of an explosive build-out of AI computing, expects to generate at least $1 trillion from its Blackwell and Rubin chips through the end of 2027.

The company had previously forecast that the chips would bring $500 billion in sales by the end of 2026. The latest forecast, delivered by Chief Executive Officer Jensen Huang during the company’s GTC event, extends the outlook another year.

The forecast underscores the scale of Nvidia’s business, which has been supercharged by demand for chips that develop and run AI models. But the cumulative figure doesn’t suggest a tremendous acceleration in sales growth.

After initially rising as much as 4.8%, the shares soon pared their gains on Monday. The stock was up 1.6% to $183.19 at the close in New York.. Bloomberg's Ed Ludlow joins to discuss on Bloomberg Businessweek Daily. Nvidia also unveiled new products at GTC, an annual gathering that draws fervent crowds to San Jose, California. The company is adding a chip made with technology it acquired from startup Groq, a move that Nvidia said will boost the responsiveness of artificial intelligence systems.

The company also showed off a computer made up of general-purpose CPUs, or central processing units, marking a fresh expansion into technology pioneered by Intel Corp. The CPU opportunity is “for sure” a multibillion-dollar business, Huang said.

The GTC rollout is Nvidia’s latest bid to promote artificial intelligence computing and keep customers loyal to its technology. The company uses the event to announce partnerships with companies in a range of industries, aiming to show the increasing benefits of AI.

“I believe that computing demand has increased by 1 million times in the last two years,” Huang said during the event. “It is the feeling that we all have. It is the feeling every startup has.”

A flood of spending on AI chips has turned Nvidia into the world’s most valuable company. But investors have sought more evidence that the market’s growth remains on track. Nvidia is also facing mounting competition from rivals like Advanced Micro Devices Inc., as well as its own customers attempting to produce in-house chips to handle AI.

The company has accelerated its technology development in recent years. Nvidia tries to replace its entire product lineup on an annual basis while adding new components. The next design of its flagship AI processors, appearing in systems in the second half of 2026, is called Vera Rubin. The lineup is named for the pioneering astronomer whose observations provided evidence supporting the existence of dark matter.

While Nvidia continues to post sales growth that’s the envy of the chip industry, its stock rally has stalled in recent months. The shares were down 3.4% this year heading into the GTC presentation, leaving the company’s market value at a still-unrivaled $4.4 trillion. In December, Nvidia announced what it called a licensing deal with Groq that gave it the rights to use certain technologies and designs. While the startup still exists, its founders and a big chunk of its engineers joined Nvidia in what was practically an acquisition.

Read More: Nvidia Reaches Technology Licensing Deal With Startup Groq

Nvidia has accelerated the engineering work done by Groq to bring its product to market more quickly. The chip will be manufactured by Samsung Electronics Co., with Groq-based systems coming in the second half, Huang said.

The chipmaker said that its forthcoming processor, Vera, is more capable than previous CPUs. As AI data centers become increasingly complex, the orchestration of work divided between various types of computers and software — a job performed by general-purpose CPUs — is becoming more important, Nvidia said.

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