<div id="readability-page-1">Developing artificial intelligence (AI) requires substantial computing power, especially as the latest reasoning models spend an increasing amount of time &#34;thinking&#34; to refine their outputs. In fact, Nvidia (NVDA -0.12%) CEO Jensen Huang thinks data center operators will spend $1 trillion per year on infrastructure and chips by 2028 to meet demand from those new-age models. Nvidia is a leading supplier of graphics processing units (GPUs), which are the primary chips used in AI development, so it's perfectly positioned to benefit from any increase in data center spending. But demand for more computing capacity will also be a tailwind for competitors like Advanced Micro Devices (AMD 2.71%) and every company that supplies data center networking equipment and other critical hardware. The iShares Semiconductor ETF (SOXX 0.01%) is an exchange-traded fund (ETF) that exclusively invests in the suppliers of chips and other computing hardware. Nvidia and AMD are two of the ETF's largest holdings, and their performance has propelled it to market-crushing returns over the last few years. Here's how the fund could turn an investment of $500 per month into $1 million over the long term. <div><img src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vZWRpdG9yaWFsL2ltYWdlcy84MjY1MDcvYS1kaWdpdGFsLXJlbmRlcmluZy1vZi1jb21wdXRlci1jaGlwcy13aXRoLW9uZS1sYWJlbGxlZC1haS5qcGcmdz03MDA?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" width="700" height="466" original-src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vZWRpdG9yaWFsL2ltYWdlcy84MjY1MDcvYS1kaWdpdGFsLXJlbmRlcmluZy1vZi1jb21wdXRlci1jaGlwcy13aXRoLW9uZS1sYWJlbGxlZC1haS5qcGcmdz03MDA"/>Image source: Getty Images. </div> <h2>The ultimate AI hardware ETF</h2> The iShares Semiconductor ETF holds just 30 stocks, so it's highly concentrated. It specifically focuses on companies that design, manufacture, and distribute semiconductors and components, but especially those with the potential to benefit from powerful themes like AI. AMD is the largest holding in the ETF with a portfolio weighting of 9.35%, closely followed by Nvidia with a weighting of 8.27%, and Broadcom (AVGO 0.51%) at 7.70%. Each of those three stocks has crushed the S&amp;P 500 since the beginning of 2023, which is when the AI boom really started to gather momentum: <img src="https://imageproxy.pbkrs.com/https://media.ycharts.com/charts/5e0a22f523f6c26a16e4e7b56a2883eb.png?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" width="720" height="490" original-src="https://imageproxy.pbkrs.com/https://media.ycharts.com/charts/5e0a22f523f6c26a16e4e7b56a2883eb.png"/> NVDA data by YCharts Nvidia had a market capitalization of $360 billion on Jan. 1, 2023, but it has since exploded to $4.2 trillion on the back of surging sales of its data center GPUs. Its new Blackwell and Blackwell Ultra chips are designed specifically for AI reasoning models, and demand continues to outstrip supply. But Nvidia is also expanding into other AI segments. Its Drive platform, for instance, is an increasingly popular hardware and software solution for automotive brands that want to install self-driving capabilities into their new vehicles. AMD is becoming one of Nvidia's biggest threats in the data center market, having designed its latest CDNA (Compute DNA) 4 GPU architecture to specifically rival the Blackwell architectures. But AMD also supplies some of the industry's best AI chips for personal computers, which could be a substantial growth driver for the company in the long run. Broadcom, on the other hand, makes some of the most powerful networking equipment for the data center, which rapidly moves high volumes of data between chips and devices to enable faster processing speeds. Further, Broadcom makes custom AI accelerators on behalf of tech giants like Alphabet, which are becoming a popular alternative to ready-made GPUs in the data center. Outside of its top three positions, the iShares Semiconductor ETF holds a number of other leading AI hardware stocks, including: <ul> <li>Micron Technology, which designs some of the industry's best memory and storage solutions for AI workloads in data centers, computers, and smartphones.</li> <li>Taiwan Semiconductor Manufacturing, which is the world's largest semiconductor fabricator. It manufactures chips on behalf of the industry's top designers, including Nvidia and AMD.</li> <li>Arm Holdings, which designs central processor (CPU) architectures for computer and device manufacturers like Apple.</li> </ul> <h2>Turning $500 per month into $1 million</h2> The iShares Semiconductor ETF was established in 2001, so it has helped investors navigate technological revolutions spurred by the internet, the smartphone, the cloud, enterprise software, and now AI. It has delivered a compound annual return of 11.4% since it was established 24 years ago, far outpacing the S&amp;P 500, which has grown by an average of 8.3% per year over the same period. But over the last 10 years, specifically, the iShares ETF has delivered a compound annual return of 24.1%. The proliferation of data centers and consumer devices triggered a wave of demand for advanced chips over the past decade, which is fueling those returns. The table below shows the potential gains investors could earn by placing $500 into the iShares ETF every month, based on three different annual returns and three different time frames. <div><table> <thead> <tr> <th> Compound Annual Return </th> <th> Balance After 10 Years </th> <th> Balance After 20 Years </th> <th> Balance After 30 Years </th> </tr> </thead> <tbody> <tr> <td> 11.4% </td> <td> $112,607 </td> <td> $461,258 </td> <td> $1,545,560 </td> </tr> <tr> <td> 17.7% (midpoint) </td> <td> $165,445 </td> <td> $1,121,446 </td> <td> $6,661,842 </td> </tr> <tr> <td> 24.1% </td> <td> $251,192 </td> <td> $2,976,520 </td> <td> $32,604,161 </td> </tr> </tbody> </table></div> Calculations by author. It's unlikely this ETF -- or any fund -- can sustain a 24.1% annual return over the long term. The bigger a company like Nvidia becomes, the harder it gets to find new customers and generate the same rate of growth, which leads to slower returns for investors. However, if Jensen Huang is right and annual data center spending does top $1 trillion by 2028, then the iShares ETF can certainly maintain above-average returns for at least the next few years. But investors don't need to earn over 20% per year to turn $500 into $1 million. Even if the ETF reverted to its long-term average return of 11.4% per year, it would still get the job done in under three decades. However, due to its high concentration, investors shouldn't put all of their eggs in one basket. They should only buy this ETF as part of a diversified portfolio of other funds or individual stocks, which will help insulate them from substantial losses if the AI boom unexpectedly loses momentum. </div>

NVDA

The iShares Semiconductor ETF, which invests in companies like Nvidia and AMD, is positioned to benefit from the growing demand for AI computing power. Nvidia's market cap surged from $360 billion to $4.2 trillion in 2023, driven by sales of AI-specific GPUs. The ETF has delivered a compound annual return of 24.1% over the last decade, significantly outperforming the S&P 500. Investing $500 monthly could potentially grow to $1 million over 30 years, depending on annual returns.

- The article discusses the increasing demand for computing power in artificial intelligence (AI) development, predicting that data center operators will spend $1 trillion annually by 2028.  
- Nvidia, a leading supplier of GPUs, is well-positioned to benefit, alongside competitors like AMD and Broadcom, as they supply critical hardware for data centers.  
- The iShares Semiconductor ETF, which focuses on semiconductor companies, has shown strong returns and could help investors grow their investments significantly over time, although diversification is advised to mitigate risks.

Here's How Nvidia and AMD Could Help This Super Semiconductor ETF Turn $500 Per Month Into $1 Million