Monday, March 23

Nvidia’s CEO Jensen Huang Just Guided for $1 Trillion of GPU Orders Through 2027. Why Aren’t Investors Buying the Stock?


At Nvidia‘s (NASDAQ: NVDA) recent flagship GPU Technology Conference, CEO Jensen Huang kicked things off with a bang. He said he expects purchase orders for the company’s Blackwell and Vera Rubin platforms and graphics processing units (GPUs) to reach $1 trillion by the end of 2027, a significant increase from the company’s sales expectations for last year and this year.

However, the stock hardly moved on the news, and there’s still significant skepticism surrounding artificial intelligence stocks. Why won’t investors buy the stock right now?

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Nvidia headquarters.
Image source: Nvidia.

Blackwell is Nvidia’s current, most advanced version of its GPUs and rack systems, which are installed in data centers that help companies deploy AI solutions. Vera Rubin is the next iteration, expected to roll out this year. The systems are designed with 1.3 million components and projected to generate 10 times the performance of Blackwell, which was rolled out in 2024.

The $1 trillion number is a significant step up from the $500 billion in AI hardware sales that management had projected in 2025 and 2026. The number is also ahead of the $950 billion number that Wall Street analysts had been modeling, on average. Huang said that the company is seeing demand from a range of customers, from start-ups to large companies.

This should signal confidence to investors because Nvidia has historically hit its quarterly numbers and met or exceeded guidance.

One would think that a bright, flashy number like $1 trillion might move Nvidia’s stock. But Nvidia is trading down nearly 7% this year (as of March 20), although part of this can likely be attributed to geopolitical and economic concerns not specifically tied to the company. The stock does not look terribly expensive, trading at about 22 times forward earnings.

One issue is that investors are becoming skeptical about whether the same intense levels of spending on AI infrastructure needed to power what some have called the fourth industrial revolution can continue. Collectively, the “Magnificent Seven” have guided to spend between $650 billion and $700 billion in capital expenditures this year.

However, these companies are increasingly resorting to debt to fund the build-out. Others are worried that the returns that investors are looking for from this intense spending simply won’t materialize.



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