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Reading: Nvidia blows previous income targets and forecasts continued robust demand for AI chips | Fortune
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Asolica > Blog > Business > Nvidia blows previous income targets and forecasts continued robust demand for AI chips | Fortune
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Nvidia blows previous income targets and forecasts continued robust demand for AI chips | Fortune

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Last updated: November 19, 2025 10:26 pm
Admin
3 weeks ago
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Nvidia blows previous income targets and forecasts continued robust demand for AI chips | Fortune
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Nvidia blew previous Wall Road monetary targets in its third quarter, posting a 62% surge in income and forecasting continued robust development for the present quarter with demand for its AI chips exhibiting no signal of slowing down.

“Blackwell sales are off the charts, and cloud GPUs are sold out,” CEO Jensen Huang stated in a ready assertion, referring essentially the most superior model of the corporate’s chip utilized by AI suppliers like Meta, OpenAI, Microsoft and Google. The robust demand led Nvidia to challenge fourth-quarter income between $63.7 billion and $66.3 billion, effectively above the $62.4 billion that analysts had been anticipating.

Nvidia’s inventory rose as a lot as 5.7% in after hours buying and selling, after ending the common session up 3%.

Nvidia’s better-than-expected outcomes come as traders and business observers fear about whether or not the crimson sizzling AI market is a bubble that might ultimately bursts, with questions on whether or not AI providers will generate ample income to maintain tempo with the staggering capital expenditures required to construct and run next-generation fashions.

In a convention name with traders on Wednesday, Nvidia executives confused the underlying energy of the market, citing “visibility” into large quantities of spending for the following a number of years.

“We are preparing for significant growth ahead,” stated Nvidia CFO Colette Kress on the decision.

In the course of the third quarter, gross sales within the firm’s datacenter unit, which accounts for the overwhelming majority of Nvidia’s enterprise, expanded 66% year-over-year to $51.2 billion, in comparison with the $49.7 billion anticipated by analysts. General income of $57 billion was above Nvidia’s personal projections and topped the $55.5 billion anticipated by Wall Road.

Nvidia posted $31.9 billion of internet revenue within the third quarter, or $1.30 per share, in comparison with the $1.25 EPS anticipated by analysts.

Bubble discuss

A pioneer of graphics processing chips, or GPUs, initially used for video video games, Nvidia has emerged because the dominant supplier of the processors that energy generative AI providers like ChatGPT and Google Gemini.

Mounting energy constraints, provide chain points and contemporary scrutiny of “circular” AI investments have additionally raised doubts about how sustainable the present trajectory actually is. Analysts have warned about Nvidia’s position in a attainable AI bubble — particularly given the corporate’s $24 billion AI-investment blitz in 2025.

Living proof: Within the deal introduced Tuesday, Nvidia and Microsoft will make investments as much as $10 billion and $5 billion, respectively, in Anthropic. In flip, Anthropic will buy $30 billion of Azure compute capability, whereas additionally collaborating with Nvidia on future chip and model-engineering work. This follows Nvidia’s $6.6 billion funding in OpenAI in October and a $6 billion funding in Elon Musk’s xAI in November, per PitchBook, in addition to its dedication to take a position as much as $100 billion in OpenAI in an enormous September deal that despatched the inventory increased.

In current weeks, traders have been reassessing expectations, stated Daniel Newman, analyst and CEO of the Futurum Group: “Has there been too much exuberance? Is this demand real?”

Nonetheless, Nvidia’s outcomes communicate for themselves for these on the lookout for optimism. Nonetheless, some analysts insist this isn’t a bubble. And analysts like Stephanie Hyperlink, chief funding strategist at Hightower Advisors, argues that the demand is basically actual — and much broader than Huge Tech.

“I don’t think we are in a bubble in AI because there are so many industries that are seeing significant growth,” she stated. “AI needs more data centers, an upgraded grid, and more power — which we don’t have enough of. Each industry will be spending billions: Big Tech $400B, industrials $100B building data centers, utilities $200B, and power companies $100B — and that’s just this year. The demand is there, unlike the dot-com bubble where there wasn’t real demand.”

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