What Are the Risks and Opportunities of Investing in AI Companies?
Artificial intelligence has moved quickly from a niche technology to a broad business force shaping how companies operate, invest and compete. As AI adoption expands across industries, many investors are asking whether and how AI-related investments might fit into their long-term portfolio.
The challenge is “investing in AI” is not a single decision. AI is not one industry, one asset class, or one type of security. Understanding both the opportunities and the risks starts with how AI exposure shows up in investments.
AI exposure refers to the extent to which an investment’s results are affected by companies that develop, use, or benefit from artificial intelligence technologies. It also involves recognizing where that exposure comes from and the trade-offs it can introduce.
This guide outlines key considerations you should evaluate when exploring AI-related investments, including diversification, risk profiles and tax implications.
AI Investing Is Broader Than You Think
When people think of investing in AI, they often think about investing in companies that make the hardware or software that make AI possible. But AI is best understood as a business driver, not a standalone investment category. Companies may use AI to improve productivity, develop new products, manage data, or reduce costs. But that doesn’t make them “AI companies” in the same way an energy firm is an energy company.
AI exposure can appear across many types of investments, from individual stocks to broad funds that hold hundreds of companies. That range creates opportunity, but it also introduces complexity.
Before focusing on specific AI-centered investments, it helps to understand where potential benefits and risks may emerge.
Opportunities In AI-Related Investments
AI’s appeal comes from its potential to influence revenue growth, efficiency and competitive positioning across the economy. Thus, you might see AI-driven investment opportunities across business activities, including:
- Technology infrastructure. Companies that provide computing power, data storage, or networking may benefit as AI systems require more processing capacity.
- Businesses developing AI-driven tools or services. Some firms focus more directly on AI-based software, analytics, or platforms, often with higher growth potential — and higher uncertainty.
- Established firms integrating AI into existing businesses. Many large companies are using AI to enhance products, automate operations, or analyze data more effectively.
AI’s long-term impact is likely to be uneven,1 rewarding some companies while leaving others behind as competition intensifies and costs rise.
What To Consider Before Adding AI Exposure
While AI presents potential opportunity, it also brings risks that are important to understand, especially if you’re focused on long-term planning rather than short-term trends. Here’s what you should carefully assess when evaluating how AI exposure fits within your broader investment strategy.
Valuation and expectations
Markets can price in future growth well before it materializes. If earnings or adoption fail to meet expectations, valuations may adjust quickly.2
Concentration risk
Many AI-related investments, particularly those labeled as “AI-themed,”3 group companies based on their involvement in artificial intelligence rather than by traditional industry categories such as technology or healthcare. Because fewer companies may qualify under the fund’s definition of AI-related exposure, these funds can be heavily weighted toward a relatively small number of companies. That concentration can amplify gains, but it can also magnify losses.
Volatility
AI-linked stocks and funds have experienced sharp price swings, reflecting changing assumptions about growth, interest rates and technology cycles.
Hype and fraud risk
Regulators have warned that the popularity of AI can attract misleading claims or fraudulent schemes4 that use “AI” as a marketing hook rather than a substantiated business strategy. The SEC encourages investors to carefully evaluate claims — from both individual businesses and fund managers — and rely on verifiable information.5
AI is best understood as a business driver, not a standalone investment category.
How Is Exposure Built Into Portfolios?
Understanding how AI exposure is built into your portfolio can be more important than deciding whether to pursue it. Investors commonly encounter AI exposure through three broad approaches.
1. Direct investment in individual companies
Owning shares of a single company tied to AI development or adoption offers the most targeted exposure.
What you should consider
- There may be greater upside if the company executes well.
- There may be greater downside if competition, costs, or demand shift unexpectedly.
Evaluating these investments usually requires reviewing company disclosures, earnings reports and independent reporting to understand how meaningful AI is to the firm’s overall business. If this is your first investment focused primarily on AI exposure, you may also want to consider how it fits within your broader portfolio strategy.
2. AI-themed funds and ETFs
AI-themed funds group companies based on their perceived exposure to artificial intelligence. AI-themed ETFs and mutual funds aim to capture long-term structural trends but may introduce unique risks.3
Here's what you should assess:
- Holdings and top weights: How much of the fund is concentrated in its largest positions?
- Index or strategy methodology: How does the fund define “AI exposure,” and how does it select companies?
- Turnover: How frequently do holdings change? (This can affect risk and taxes.)
The AI label alone does not determine how diversified a fund is. Two funds with similar names can hold different portfolios.3
3. Broad market or sector funds with embedded AI exposure
Some investors gain AI exposure indirectly through funds that track broad market indexes or major sectors, where AI-influenced companies are already represented.
Why some investors consider this approach:
- Exposure to AI-related leaders without committing to a single industry or theme.
- Broader diversification across industries and business models.
The trade-off is that AI is only one of many drivers influencing returns, rather than the primary focus.
Considerations For More Conservative Investors
When you have a lower risk tolerance, diversification often plays a central role in your investment decision-making. Funds can help spread risk, but diversification depends on what the fund holds, not just how many securities it owns.
Before relying on any pooled investment for diversification, you should examine the fund’s concentration among top holdings, overlap with existing investments and how the fund’s strategy fits within a broader portfolio.
These considerations help clarify whether a fund adds balance or unintentionally increases exposure to a narrow set of companies or themes.3
How Do AI-Related Investments Affect Your Taxes?
Tax considerations don’t determine whether an investment is appropriate, but they can influence where you hold certain investments.
Capital gains basics
In taxable accounts, capital gains may apply6 when investments are sold for a profit. Holding period matters.7 Short-term gains (assets held one year or less)6 are typically taxed at ordinary income rates, while long-term gains may be taxed at lower rates, depending on income level.
Some funds also distribute capital gains to shareholders, which can create tax obligations even if shares aren’t sold.7
Account type considerations
Because of their volatility and potential for higher gains, you should think carefully about the tax implications of holding certain investments. In general, tax-advantaged accounts such as IRAs or 401(k)s do not tax investment gains annually.
Before investing in any new companies or funds, consult with a tax professional. They can help you make sure you're holding any investments in the type of account that makes the most sense for your situation. But keep in mind that many employer-sponsored retirement savings plans may limit you to a narrow choice of funds.
All that said, in the case of AI fund investing you may want to work closely with your financial advisors to determine whether these funds are ideal for your portfolio.
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Important disclosure information
- Adam Shell, “How to Invest as the AI Industry Grows Up,” Kiplinger, July 12, 2025. Accessed March 15, 2026. Back
- John Miley, “Worried About an AI Bubble? Here’s What You Need to Know,” Kiplinger, November 12, 2025. Accessed March 15, 2026. Back
- Daniel Jark, “Benefits and Risks of Thematic ETFs,” Investopedia, May 28, 2024. Accessed March 15, 2026. Back
- SEC.gov, “SEC Charges Two Investment Advisers with Making False and Misleading Statements About Their Use of Artificial Intelligence,” March 18, 2024. Accessed March 15, 2026. Back
- Investor.gov, “Artificial Intelligence and Investment Fraud,” January 25, 2024. Accessed March 15, 2026. Back
- IRS, “Tax Topic 409, Capital Gains and Losses,” January 25, 2026. Accessed March 15, 2026. Back
- James Chen, “Understanding Capital Gains Distributions: Definition and Tax Guide,” Investopedia, August 13, 2025. Accessed March 15, 2026. Back