How Do I Choose an AI ETF for Diversified AI Exposure?
In a Nutshell
Choose an AI ETF by first deciding which layer of the AI stack you want exposure to—broad value-chain funds such as ARTY or BAI cover infrastructure, models, and applications, while narrower products like SOXX or POWR isolate chips or power demand. Review each ETF’s holdings and concentration levels, then map them against existing positions in broad tech (IYW) or S&P 500 (IVV) funds to confirm the new ETF adds complementary exposure rather than overlap.
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The answer depends on which part of the AI opportunity investors want to own because an AI fund can mean very different types of exposure. Some funds go broad, others go narrow, and others invest across the entire AI ecosystem or value chain. Understanding those differences is one of the most important steps when choosing an AI ETF. AI exposure isn't a one-size-fits-all.
When investors say they're looking for an AI ETF, they could be talking about several different investment approaches. One way to understand those differences is to think about what we call the AI stack.
AI is unfolding in three phases: the build-out phase, the adoption phase, and the transformation phase, and that creates opportunities across different layers of the AI stack. The AI stack consists of three layers:
- Infrastructure at the foundation
- Intelligence in the middle
- Applications and services at the top
At the foundation are things like data centers, cloud infrastructure, and computing hardware that powers AI. In the middle is the intelligence that makes AI work. At the top are the applications and the services that bring AI to consumers and businesses.
You can think of it like a layered cake. Each layer plays a different role, and together they make the broader AI ecosystem possible. Different funds can give exposure to different parts of the stack or across the broader AI value chain.
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