Fact checked by Vikki Velasquez
Key Takeaways
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AI-focused ETFs offer diversified exposure to the AI sector, including chipmakers, software companies, and cloud providers.
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Investors should evaluate an AI ETF’s holdings, weighting style, and fees to ensure it aligns with their goals.
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Elevated valuations and regulatory risks pose challenges for AI ETFs, especially for software companies.
Wondering which AI stocks have the greatest upside potential? Instead of trying to find the next Nvidia (NVDA), Micron Technology (MU) or Palantir Technologies (PLTR), investors can simplify the process by investing in an AI-themed exchange-traded fund (ETF). These funds provide diversified exposure across the AI ecosystem, from semiconductor manufacturers and cloud providers to software companies and the infrastructure powering artificial intelligence.
Why Investors Are Turning to AI-Focused ETFs
Investors have flocked to AI-themed ETFs because they provide a simple way to gain exposure to the AI boom without having to try to find the sector’s next big winner. Instead, these funds allocate their assets across a basket of companies in which AI is set to propel earnings and sales.
AI ETFs are also popular as they allow investors to choose what areas of AI they want to invest in. For instance, there are funds that hold hyperscalers building out their AI infrastructure, software companies that make AI-powered applications aimed at improving efficiency, or conglomerates well-placed to integrate AI into their business to create new revenue opportunities.
With AI projected to contribute $22.5 trillion to the global economy by 2031, AI-focused ETFs will likely remain popular with investors, as they provide a low-cost and convenient way to take advantage of the AI trade that continues to grip Wall Street.
Tip
Compare AI ETFs using fund provider websites, ETF screening tools, and fund fact sheets to review holdings, fees, historical performance, and portfolio construction before investing.
How to Evaluate AI ETFs
Not all AI ETFs are created equally. When analyzing a fund, investors should consider these factors to make sure it fits their investment objectives and broader portfolio:
Exposure Blend
Start by reviewing the fund’s top 10 holdings. Some AI ETFs focus on the infrastructure layer, such as chipmakers and hardware manufacturers, while others target software companies building AI applications or the energy providers powering data centers. Investors who want broad AI exposure should consider funds such as the Global X Artificial Intelligence & Technology ETF (AIQ), which holds a portfolio of AI companies operating in different areas of the sector.
Weighting Style
It’s also important for investors to look at the fund’s weighting style. A market-cap-weighted AI ETF, which invests in companies in proportion to their total stock market value, allocates most of its assets to industry leaders like AI favorite Nvidia, making its portfolio heavily concentrated. On the other hand, equal-weighted funds diversify holdings more evenly, providing exposure to AI companies with different market capitalization sizes. For instance, the Amplify Bloomberg AI Equal Weight ETF (AIVC) allocates its assets evenly in AI companies that generate a large portion of their revenue from cloud computing, AI hardware, and semiconductors.
Fee Structure
It’s also worth checking out an AI fund’s fee structure. Typically, thematic funds come with higher management fees because they require active research and use more complex indexing than passive index-tracking funds. As a rule of thumb, look for AI funds with an expense ratio of between 0.45% and 0.75% to avoid fees eating into long-term returns. Investors seeking an AI fund with a low management fee should consider the Xtrackers Artificial Intelligence & Big Data ETF (XAIX), which has a competitive expense ratio of 0.35%.
Trading Data and Performance
To reduce transaction costs as much as possible, it’s also important to review an AI fund’s trading data. By filtering for ETFs that have over $100 million in assets under management (AUM) and average daily dollar volume of $1- to $5 million, it makes sure that investors can enter and exit trades with minimum slippage. The top-performing AI funds year-to-date (YTD) as of late June 2026 that meet these asset and volume requirements are the VistaShares Artificial Intelligence Supercycle ETF (AIS) with a 124.37% return, the Roundhill Generative AI & Technology ETF (CHAT), which has a return of 108.03%, and the Amplify Bloomberg AI Equal Weight ETF, which has returned 69.57%.
The Key Risks of AI-Themed ETFs
Although AI ETFs provide investors with a straightforward way to diversify across the AI sector, they also carry key risks investors should be aware of. Before buying a fund to gain exposure to the AI trade, it’s worth keeping these considerations in mind.
Elevated Valuations and Hype
Many AI stocks trade at elevated valuations, meaning lofty growth expectations and optimistic earnings projections are already priced in. This makes AI ETFs more sensitive to drawdowns if AI spending slows or sector leaders, such as Nvidia or Advanced Micro Devices (AMD), report financial results that fall short of forecasts.
Concentration Risk
As mentioned above, because just a few trillion-dollar tech giants dominate the AI sector, market-cap-weighted AI-themed funds usually allocate over half their assets to a small number of mega-cap stocks. If investors already own a passive index-tracking fund, a market-cap AI ETF has the potential to double up exposure to stocks they already own. By comparison, equal-weighted funds help investors to diversify across AI more broadly, but increase exposure to smaller, more volatile companies that have less of a proven financial track record.
Investors should also consider how an AI ETF fits within their broader portfolio, since many diversified index funds already have meaningful exposure to leading AI companies.
Monetization and Regulatory Risk
As AI chipmakers continue to benefit from the ramping up of the AI infrastructure buildout, software companies are still trying to figure out how to effectively monetize their AI applications and tools, and face stiff competition from other AI platforms. A poor return on AI investment or the government cracking down on data privacy and copyright laws could add risk by placing pressure on the broader AI value chain.
The Bottom Line
The AI boom has spurred the popularity of AI-focused ETFs, providing a simple way for investors to diversify exposure across the sector and bypass the challenges of trying to find the next big AI winner. These ETFs hold a portfolio of companies in different AI themes, helping to take advantage of new technology gaining widespread adoption. Still, elevated valuations, coupled with uncertainty about how software companies will monetize the technology and regulatory concerns surrounding privacy, pose near-term risks. Before investing, look beyond an ETF’s “AI” label to understand its holdings, weighting methodology, fees, and how it fits within your broader portfolio.
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