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ETFs & Index Funds

How to Get Investment Exposure to AI Without Picking Individual Stocks

Betting on which individual AI company wins is genuinely difficult. Here's how broad fund categories let investors gain exposure to the trend without picking a single winner.

Why picking the individual AI winner is harder than it looks

It's tempting to think that if you believe artificial intelligence will reshape the economy, the obvious move is to buy stock in whichever company looks best positioned today. In practice, this is much harder than it sounds, for a few reasons that have played out in every major technology cycle before this one. First, today's technology leader is not guaranteed to be tomorrow's — search engines, social networks, and mobile operating systems all had early leaders who were later overtaken or displaced by companies that didn't yet exist or weren't yet relevant when the cycle began. Second, competitive dynamics in a fast-moving field are genuinely uncertain even to industry insiders; a breakthrough at one company, a change in chip supply, or a shift in regulation can reorder the competitive landscape quickly. Third, popular AI-related stocks have often already priced in years of expected growth, meaning that even a company that succeeds at building great technology can still be a poor investment if the price paid was too high relative to what actually gets delivered.

The alternative: broad exposure through fund categories

Rather than betting on a single company, investors can choose to gain exposure to a trend like artificial intelligence through diversified fund categories that spread the bet across many companies at once. This doesn't eliminate the risk that the trend disappoints, but it does eliminate the specific risk of guessing wrong about which individual company benefits most. A few broad categories are worth understanding in general terms, without pointing to any specific fund.

  • Broad technology-sector index funds: these track a wide basket of technology companies across software, hardware, internet services, and related industries, giving exposure to the sector as a whole rather than any single company within it.
  • Semiconductor-sector index funds: these focus specifically on companies involved in designing and manufacturing the chips that underpin AI computing, which is a narrower and typically more volatile slice of the technology sector.
  • Broad-market index funds: funds that track a wide swath of the overall stock market, such as a total U.S. or global stock market index, already carry meaningful weight in large technology companies given how much of overall market value those companies represent, offering indirect AI exposure alongside exposure to every other sector of the economy.

These categories are not interchangeable

It's worth being clear-eyed about the trade-offs between these categories rather than treating them as equivalent. A sector-specific fund, whether focused on technology broadly or semiconductors specifically, concentrates risk in a narrower slice of the economy, which means it can rise faster during a boom in that sector but also fall harder during a downturn or a rotation of investor sentiment away from it. A broad-market index fund spreads risk across many industries — healthcare, financials, energy, consumer goods, and more — so its exposure to any single trend, including AI, is diluted by design. That dilution is a feature, not a flaw, for investors whose goal is broad, long-term diversification rather than a concentrated bet on one theme.

Diversification isn't a way to avoid missing out on a trend — it's a way to avoid needing to correctly predict which part of it pays off.

There's no single right answer to how much sector-specific exposure, if any, belongs in a portfolio; it depends on an individual's risk tolerance, time horizon, and how much of their existing portfolio is already tied to technology through a broad-market fund. Some investors choose to hold a small, deliberate allocation to a sector fund on top of a core broad-market holding, understanding that it adds concentration risk in exchange for more targeted exposure. Others prefer to rely entirely on broad-market funds and accept whatever technology weighting comes along with the overall market. Both are reasonable, defensible approaches, and the right one depends on the individual investor's own circumstances rather than on any single fund category being objectively superior. This article is general educational content, not investment advice, and does not recommend any specific stock, fund, or ticker. Fund categories, their holdings, and their risk characteristics vary by provider and change over time; review a fund's prospectus and consider speaking with a licensed financial professional before investing.

This article is educational and general in nature. It isn’t personalized investment, tax, or legal advice — always weigh your own circumstances, or talk to a licensed professional, before making financial decisions.

Tags: artificial intelligence, index funds, diversification