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Big tech will spend a staggering amount on AI in 2025

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Nvidia shares remain mired in negative territory for the year, and are down more than $500 billion from their early-January peak, but investors are starting to rework near-term sales forecasts for the AI-chip giant after its biggest customers announced big spending plans.

Nvidia  (NVDA)  maintains a commanding grip on the market for AI-powering chips, including its newest line of Blackwell processors, which boost computing efficiency while using less energy and has seen enormous revenue gains since the mainstream adoption of the new technology in early 2023.

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The group's fiscal 2024 sales more than doubled, to just under $70 billion, and analysts are forecasting a tally of around $129 billion for its fiscal year 2025, which ended in January.

Expectations for another 50% growth rate for the coming fiscal year were challenged late last month, however, by the emergence of DeepSeek, the China-based AI startup that claims to have built, trained and developed a large-langue-model system and chatbot for a fraction of the cost borne by its U.S. rivals.

Nvidia CEO Jensen Huang has called the group's new Blackwell GPUs "the engine of AI''.PATRICK T. FALLON/Getty Images
Nvidia CEO Jensen Huang has called the group's new Blackwell GPUs "the engine of AI''.PATRICK T. FALLON/Getty Images

News of the DeepSeek AI agent, and reports suggesting it was trained for less than $6 million, wiped nearly $600 billion from Nvidia's share price in a single day, the largest session market-capitalization decline on record.

DeepSeek raises AI spending questions

But skepticism has arisen about DeepSeek's claims, and reports say that it used high-end Nvidia chips that were barred from export to China under rules put in place by the Biden administration, which  have tempered the market's concern about Nvidia's near-term forecast, which the group tacitly affirmed in a statement last month.

Related: Analysts rework Alphabet stock price targets after earnings shock

“DeepSeek is an excellent AI advancement and a perfect example of Test Time Scaling,” the company said. “DeepSeek’s work illustrates how new models can be created using that technique, leveraging widely available models and compute that is fully export control compliant. Inference requires significant numbers of Nvidia GPUs and high-performance networking.”

That was certainly echoed last week by a host of Nvidia's biggest customers, the so-called hyperscalers, the providers of cloud and data center infrastructure at a massive global scale, through their combined capital spending plans.

The major providers of cloud services and infrastructure plan major boosts in capital spending.
The major providers of cloud services and infrastructure plan major boosts in capital spending.

Microsoft  (MSFT) , Meta Platforms  (META) , Google parent Alphabet  (GOOGL) and Amazon  (AMZN)  are set to spend a collective total of $325 billion this year alone. That's more than the combined market value of Citigroup and Pfizer.