Meet the Little-Known Artificial Intelligence (AI) Stock Leading the S&P 500 in 2024 (Hint: Not Nvidia)

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Artificial intelligence (AI) could be one of the largest investment opportunities in history. Consequently, many investors have become familiar with Nvidia (NASDAQ: NVDA), the semiconductor company whose chips power the most advanced AI systems.

Nvidia is the second best-performing member of the S&P 500 (SNPINDEX: ^GSPC) year to date, with its share price increasing 200% amid unprecedented demand for its hardware. But AI stocks come in all shapes and sizes.

For instance, utilities company Vistra (NYSE: VST) has led the S&P 500 higher this year, with its share price increasing 228%. While not a traditional AI stock, investors think Vistra could be a major winner as the AI boom increases data center energy requirements.

Here are the important details.

Investors may worry they missed a golden opportunity to buy Nvidia stock earlier this year, before it tripled in value. However, while I doubt shares will perform as well over the next year, the stock is still a worthwhile investment. Grand View Research estimates spending on artificial intelligence (AI) accelerators will compound at 29% annually through 2030, and Nvidia is ideally positioned to benefit.

Of course, many chipmakers hope to cash in on the AI boom, and hyperscale cloud companies like Alphabet and Meta Platforms have started designing custom AI silicon. But competing with Nvidia is incredibly difficult. Its graphics processing units (GPUs) are the gold standard in accelerating AI workloads not only because they are faster than rival chips, but also because they are backed by a more extensive ecosystem of software development tools. Nvidia has been building that ecosystem, called CUDA, for the better part of two decades.

Consequently, the Nvidia brand is synonymous with AI accelerators. The company accounted for 98% of data center GPU shipments over the last two years, and it currently accounts for about 80% of AI chip sales. Nvidia has reinforced its leadership by adding server central processing units and networking gear to its portfolio. That strategy lets the company design data center systems with the lowest total cost of ownership, according to CEO Jensen Huang.

In summary, Nvidia is well positioned to protect its leadership position in the AI accelerator market because it pairs superior chips with robust software development tools, and its systems theoretically offer industry-leading return on investment. In turn, Wall Street expects the company’s earnings to increase at 38% annually over the next three years. That makes the present valuation of 67 times earnings look tolerable.

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