Jensen Huang Just Gave AI Investors Great News

Source Motley_fool

Key Points

  • A pain point for many tech companies is that they've been spending heavily on AI without much of a return.

  • According to Nvidia CEO Jensen Huang, however, AI is now much more productive.

  • 10 stocks we like better than Nvidia ›

Artificial intelligence (AI) stocks can be exciting investments to hold in your portfolio, for the monstrous upside potential they possess. AI can help transform, simplify, and even automate tasks entirely. It can enable companies to do much more with less. Thus, businesses involved in AI, such as Palantir Technologies, Meta Platforms, and, of course, Nvidia (NASDAQ: NVDA), have been popular options for AI investors looking to benefit from their future growth.

AI investors recently got some great news from Nvidia CEO Jensen Huang, who said on the company's earnings call last week that "tokens are now profitable." Tokens are used in AI models, and a big concern for investors has been whether the payoff from AI will come or whether it will just be a big money pit. According to Huang, however, AI has advanced and is now more efficient.

Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidia and Intel both need. Continue »

A person using ChatGPT on their laptop.

Image source: Getty Images.

Nvidia's customers are getting more bang for their buck

Not only are tokens more efficient, but Nvidia's chips are also proving to be more valuable than previously expected, with the company's CFO, Colette Kress, saying that "customers are generating profitable revenue beyond the depreciable life of their GPUs." This can inspire customers to spend even more on Nvidia's high-end chips, knowing that they may lead to better returns and improved profitability for their businesses.

This is a win-win for both Nvidia and its customers. On the one hand, it can lead to more demand for Nvidia's chips, while on the other, it can result in increased productivity and profitability for its customers. Thus, Nvidia and tech companies using its chips may both be able to benefit from these developments.

Why investors should still tread cautiously with AI stocks

If businesses are able to do more with tokens, that means investors should expect better financial results from AI companies. But that doesn't mean that AI stocks may soar on these developments. Many of them trade at inflated valuations, and improved financial numbers may simply be necessary to justify their current valuations.

While better earnings prospects are good news for companies involved in AI as a whole, that doesn't mean every single AI stock has become a better buy in the process. As always, investors should consider valuations when picking individual stocks.

Nvidia's stock, which trades at 25 times its estimated future profits, is more reasonably priced than other AI stocks, and it can be one of the safer options to hold for the long term. But its valuation is still a bit elevated, and thus, its returns may not be as strong as they have been in recent years.

Should you buy stock in Nvidia right now?

Before you buy stock in Nvidia, consider this:

The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks for investors to buy now… and Nvidia wasn’t one of them. The 10 stocks that made the cut could produce monster returns in the coming years.

Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you’d have $472,852!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you’d have $1,317,207!*

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*Stock Advisor returns as of May 28, 2026.

David Jagielski, CPA has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Meta Platforms, Nvidia, and Palantir Technologies. The Motley Fool has a disclosure policy.

Disclaimer: For information purposes only. Past performance is not indicative of future results.
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