AI stocks are a theme within the technology market, not a universally defined sector. An AI-focused fund may concentrate on companies tied to chips, data centers, or AI applications, while broad technology funds cover a wider range of businesses. But broad market-cap-weighted funds can already hold large technology companies investing heavily in AI. To compare them, look past the label at business exposure, holdings, concentration, risks, valuation, and fund rules.
What counts as an AI stock?
There is no single market-wide rule for deciding which companies qualify as AI stocks. Issuers, indexes, and funds set their own definitions, so a company’s inclusion in an AI-themed portfolio does not by itself show that AI is a large source of its revenue—or that the company will profit from AI.
One example is the VistaShares Artificial Intelligence Supercycle ETF. Its SEC-filed summary prospectus defines an AI company as one deriving at least 50% of revenue from, or having at least 50% of assets invested in or devoted to, specified AI-related high-performance semiconductors, AI data centers, or AI-enabled applications. That is the fund’s threshold, not a general classification standard. The prospectus itself notes: “It can be difficult to accurately capture what qualifies as an artificial intelligence company.” (VistaShares summary prospectus, filed March 30, 2026.)
How AI-focused exposure differs from broad technology exposure
An AI-themed portfolio may include companies involved in semiconductors, data-center infrastructure, or AI applications. Broad technology exposure can include these businesses too, alongside companies whose business is not primarily AI. The categories overlap: a large technology company can be an important holding in both an AI-themed fund and a broad market-cap-weighted index.
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The figures below show one dated example of how an AI theme can tilt toward technology and chips. They describe the VistaShares Artificial Intelligence Supercycle Index—not every AI fund, and not live holdings.
| Measure | AI-focused example | What it tells you |
|---|---|---|
| AI-company eligibility | At least 50% of revenue from, or at least 50% of assets invested in or devoted to specified AI-related activities under the fund’s definition | A product’s inclusion rule can be specific, but it is still that product’s methodology rather than a universal definition. |
| Information technology exposure | 89% of the VistaShares index as of March 13, 2026 | This particular AI index was heavily weighted toward the information technology sector. |
| Semiconductors and semiconductor equipment exposure | 49% of the VistaShares index as of March 13, 2026 | Chip-related businesses made up a substantial share of that index at that date. |
The eligibility rule and exposure figures are reported in the fund’s SEC-filed summary prospectus dated March 30, 2026. Sector and industry weights are a snapshot; they can change with index rebalancing and market movements.
Does a broad technology fund already include AI exposure?
It may. A broad fund does not need “AI” in its name to own companies that are investing heavily in AI or could benefit from its adoption. In a market-cap-weighted index, the largest companies can account for a significant share of the portfolio, so “broad” does not necessarily mean evenly distributed across companies or business themes.
An SEC-filed 2026 prospectus says a small group of mega-cap information technology companies—many investing heavily in AI—had been a primary driver of broad stock-market gains in recent years and made up significant portions of some market-cap-weighted indexes. The prospectus also warns that “Significant downturns in the information technology sector, which includes companies that are investing heavily in AI research, development and infrastructure, could rapidly lead to widespread market weakness.” (SEC-filed 2026 prospectus.)
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For a real comparison, check each fund’s dated holdings and top-weight percentages rather than inferring its AI exposure from the fund name. Compare overlapping holdings as well as the number of holdings: two funds with different labels may depend on many of the same large companies.
Are AI stocks riskier than technology stocks?
The risks overlap, but a theme-focused portfolio can add concentration in particular industries, companies, or assumptions about future AI adoption. The label alone does not establish that an investment is more or less risky; actual holdings, weights, and the investor’s time horizon matter.
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- Adoption and monetization: A company may spend heavily on AI without generating enough revenue or savings to justify that spending.
- Capital needs and profitability: Developing or operating AI systems and infrastructure can require large research and capital expenditures, while profitability varies across issuers.
- Competition and obsolescence: Rivals may displace a product, or rapid changes may make products and infrastructure less valuable.
- Intellectual property, law, and regulation: IP disputes and legal, regulatory, or political changes can affect companies’ ability to develop or sell products.
- Product or safety failures: A failure or safety concern involving a prominent AI product could materially harm the company behind it.
These are risks identified in the VistaShares fund prospectus. They are not unique to AI: broad technology companies can also face intense competition, product-cycle shifts, regulation, and fast-moving technological change.
What do adoption and return studies show?
Published studies cited by the SEC Investor Advisory Committee report mixed results, and their findings apply to the populations and definitions in those studies—not to every company or AI use.
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- MIT NANDA’s July 2025 report said 95% of organizations in its study were getting zero return on their GenAI investment.
- A Deloitte and USC Marshall School of Business report from October 2024 found that 60% of S&P 500 companies viewed AI as a material risk in areas including cybersecurity, competition, regulation, intellectual property, ethics, and reputation.
The SEC Investor Advisory Committee cited these studies in its recommendation, Disclosure of Artificial Intelligence’s Impact on Operations, approved December 4, 2025. The figures are study results, not SEC findings, universal forecasts, or a direct comparison of AI stocks with technology stocks.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How to compare AI and technology investments
For individual stocks, compare the businesses. For funds, compare both the underlying companies and the products’ construction. Use the same observation date and comparable measures when assessing financials or valuation; a category label is not a substitute for that work.
- Read the inclusion rules. Find out how the fund or index defines AI exposure, whether eligibility is based on revenue, assets, business activity, or another test, and how often constituents are reviewed.
- Trace the company’s actual exposure. Examine disclosed revenue sources, customer demand, and AI-related spending. Spending on AI is not the same thing as revenue from AI.
- Compare holdings and concentration. Review top holdings, industry weights, and overlap with the broad technology fund or index. A broad market-cap-weighted product can still have substantial exposure to a few mega-cap companies.
- Assess business fundamentals. Consider profitability, capital requirements, competitive position, and whether AI-related products or services are producing commercial results.
- Compare valuation and performance consistently. Name the securities or indexes, metric, observation date, and return period. The available figures here do not establish a current valuation or return winner between the categories.
- Check fund mechanics. For ETFs, review the index methodology or active discretion, costs, holdings, and rebalancing rules. The label alone does not describe the portfolio’s full exposure.
Watch for AI investment claims and scams
Claims about a company’s AI products can be exaggerated or false, and scammers may use deepfakes or impersonation to promote investments. The SEC, NASAA, and FINRA investor-protection offices advise reviewing company disclosures and caution: “Be cautious about using AI-generated information to make investment decisions or to attempt to predict changes in the stock market’s direction or in the price of a security.” See their January 25, 2024 investor alert on AI and investment fraud.
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