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If You Only Invest in the Vanguard S&P 500 ETF, You're Missing Out on This Stellar Artificial Intelligence (AI) Semiconductor Stock

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The Vanguard S&P 500 ETF (NYSEMKT: VOO) offers one of the simplest and most effective ways to invest in a broad range of stocks. The index fund closely tracks the S&P 500, and it charges a minuscule expense ratio to ensure its shareholders receive their fair share of the market returns.

Those returns have been driven in large part by artificial intelligence (AI) stocks over the last couple of years. The stellar performances of 2023 and 2024 are due to just a handful of AI leaders skyrocketing in value.

But while the S&P 500 is full of some great tech companies leading innovations in AI, not every great AI stock is included in the index.

The index is widely regarded as the benchmark for the broader stock market. And although it consists of 500 of the largest companies in the market, there are a few specific requirements for inclusion. First, a company must have its headquarters and a plurality of its assets in the United States. Second, it must be profitable on the basis of generally accepted accounting principles (GAAP) in its most recent quarter and on a trailing-12-month basis.

As a result, several key semiconductor stocks are left out of the index, and by extension the Vanguard S&P 500 ETF. One AI stock worth taking a closer look at to supplement the index fund is Marvell Technology (NASDAQ: MRVL). It currently trades at an attractive price and can be a great addition to any portfolio.

A circuit board with a large chip with glowing letters A I on it.
Image source: Getty Images.

A company growing its share of the AI chip market

Marvell has a broad portfolio of chip designs including network switches, optical communication, and processors. All three of these play an important role in the development and advancement of artificial intelligence.

Networking equipment is essential for ensuring data in an AI accelerator cluster gets from one place to another as quickly and efficiently as possible. It reduces redundancy and downtime. In other words, it ensures cloud customers are getting the most possible from the expensive processing chips they put in their data centers.

When it comes to networking chips, Marvell is working to take share from market leader Broadcom. Marvell's specialization and ability to offer customized solutions has helped it win big contracts with the hyperscalers. For example, it announced a custom network interface controller chip for Meta Platforms last year.

The company is also seeing strong adoption for its custom AI accelerators by companies like Amazon, which tapped Marvell for help with its Trainium 2 chips. As their name implies, these chips are used for training large language models.