If You Like Nvidia for Its AI Exposure, Then You'll Love These Two Stocks

If You Like Nvidia for Its AI Exposure, Then You'll Love These Two Stocks

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Nvidia (NASDAQ: NVDA) was the best-performing stock in the S&P 500 in 2023. So far this year, it's also the best-performing stock in the entire index. The winners keep running higher as investors gravitate toward companies that are successfully monetizing artificial intelligence (AI).

Despite the company's red-hot returns, there are reasons to believe that Nvidia could grow into its valuation over time. But some investors may want to look outside the tech sector for AI opportunities. That's where GE HealthCare Technologies (NASDAQ: GEHC) and Deere (NYSE: DE) come into play. Here's why Nvidia and these two underrated AI plays could be worth buying now.

A scientist uses a pipette to work with medical samples.
Image source: Getty Images.

There's nothing wrong with following the AI leader

Scott Levine (Nvidia): Over the past year, several stocks have emerged as compelling routes to gaining AI exposure. But sometimes it's OK to go with the obvious choice. For investors bullish on the prospects of AI -- and it's hard not to be -- Nvidia is still a great option. Sure, the stock has skyrocketed more than 290% since this time last year, but shares can continue flying higher.

Consider, for example, the valuation of Nvidia's shares. Currently, the stock is trading at 36 times forward earnings. This may seem like a frothy valuation, but it's common for stocks with high expectations surrounding them to trade at such valuations. It may seem counterintuitive to characterize a stock with a market capitalization in excess of $2.3 trillion as a growth stock, but the AI market is expected to rise at a compound annual growth rate of more than 37% from 2023 to 2030, according to research firm Grand View Research.

While Nvidia generates revenue from the gaming and automotive industries, it's the company's data center business that's the cash cow, representing 78% of revenue in fiscal 2024. Because large language models and generative AI programs require colossal amounts of computing power, data centers use Nvidia's chips -- such as its Hopper Tensor Core GPU (graphic processing units) -- to help handle the considerable computing demands placed on them.

Nvidia foresees a ripe growth opportunity related to its AI offerings in the form of "AI factories." According to management, these are innovative data centers specifically built for AI purposes such as "processing, refining, and transforming vast amounts of data into valuable AI models and tokens." Nvidia estimates that leading companies will have their own AI factories to support their operations.