This Is My Favorite Artificial Intelligence Stock to Buy Right Now (Hint: Not Nvidia, Broadcom, or Alphabet)

Source The Motley Fool

Key Points

  • Taiwan Semiconductor is a manufacturing partner to all of the major AI semiconductor designers.

  • It also makes chips for other kinds of technology, and any change in technology just leads to more business.

  • The company is planning for increased AI spending.

  • 10 stocks we like better than Taiwan Semiconductor Manufacturing ›

Many top artificial intelligence (AI) stocks have underwhelmed recently. Palantir Technologies stock, for example, is down 25% so far this year, while semiconductor king Nvidia is slightly underperforming the S&P 500.

Taiwan Semiconductor Manufacturing (NYSE: TSM) stock, though, is outperforming the market, up 32% year to date. Here's why it's my favorite AI stock to buy right now, and why the market agrees.

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The AI chipmaker's partner

Companies like Nvidia and Broadcom design semiconductors, but they don't physically produce them. They partner with Taiwan Semiconductor (TSMC), the largest chip foundry in the world. TSMC works with nearly all the world's top tech companies, including Apple, Alphabet, and Advanced Micro Devices.

A Taiwan Semiconductor location with "tsmc" written in illuminated letters.

Image source: Taiwan Semiconductor Manufacturing.

According to Counterpoint Research, it controls 73% of the chip manufacturing market, and that share has increased over the past few years. Moreover, management recently addressed concerns of rising competition by noting its secret recipe of "technology, manufacturing, and customer trust."

While competitors like Terafab and Samsung Foundry are making inroads into the business, TSMC is investing deeply in keeping its lead. On its second-quarter earnings call, it announced plans to invest another $100 billion in its Arizona foundry, bringing its total to $265 billion. While it just built its first facility there, CEO C.C. Wei said that it's planning to open four more, in addition to opening fabs at other U.S. locations. Having its fabs located in U.S., where it can work alongside its megaclients, should be good for business.

The diversified model

Once upon a time, Taiwan Semi was briefly a Warren Buffett stock, and it fits the Buffett model in many ways. But he only held the position for a period of months before selling it. He later explained that he had made the move because, in light of the unique issues that Taiwan faces, he would prefer to invest in a company just as good as TSMC, but in the U.S.

One feature of TSMC that stands out as a Buffett-stock quality -- and that also makes it my favorite AI stock to buy today -- is its diversified revenue base. Wei noted on the earnings call that the rise of agentic AI will be good for its business.

"We believe this is positive for TSMC," he said, "as no matter what CPU approach is taken, whether it's x86, ARM-based, or RISC-V architecture, they are almost all TSMC's customers."

Taiwan Semiconductor services all the tech giants with whatever kinds of technology they need. And it's not just AI; it makes the chips for smartphones, autonomous vehicles, and more. Whether clients change or trends change, if they have a need for cutting-edge semiconductors, they partner with TSMC.

Taiwan Semi's stock fell after its outstanding second-quarter report, which appears to be a signal of investor wariness about high levels of AI infrastructure spending. If the hyperscalers cut back on their capital expenditures, that will impact TSMC's revenue -- in the short run. TSMC's management is still planning for increased demand, but whatever ends up happening now, the company is well placed to power the future of technology.

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Jennifer Saibil has positions in Apple and Taiwan Semiconductor Manufacturing. The Motley Fool has positions in and recommends Advanced Micro Devices, Alphabet, Apple, Broadcom, Nvidia, Palantir Technologies, and Taiwan Semiconductor Manufacturing. The Motley Fool has a disclosure policy.

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