Best AI ETFs

No. The exposure people call “AI” arrives through at least four distinct angles, and the funds in each carry different costs, concentration, and risk. A semiconductor fund is the most direct bet on AI hardware; a thematic AI or robotics fund is broader but includes speculative names and costs more; a software fund captures applied AI; a broad tech fund gives diluted AI exposure cheaply. Picking “the best AI ETF” really means deciding how pure-play and how volatile you want the exposure to be.

It also means watching overlap. NVDA, TSM, and a few mega-caps sit near the top of most of these funds at once, so combining several AI ETFs often stacks the same names rather than diversifying. The angles below are complementary, not interchangeable.

The most direct AI exposure is the chips themselves, because AI models are trained and run on semiconductors. The two most-used funds are SMH (VanEck Semiconductor) and SOXX (iShares Semiconductor). SMH is more concentrated in the largest chipmakers, with NVDA and TSM carrying outsized weight; SOXX spreads across more chip designers and equipment makers. Both are the purest way to own the AI hardware layer, and both are the most volatile of the angles here, since they swing with the chip cycle and a handful of dominant names.

This is also where the AI infrastructure and AI data center themes live: data centers run on these chips, so a semiconductor fund is the closest thing to a direct infrastructure bet. For a deeper head-to-head, see the best semiconductor ETFs roundup.

Thematic funds are built around the AI and robotics theme directly, holding a global mix of software, hardware, robotics, and automation names. BOTZ (Global X Robotics & AI) is more concentrated and tilts toward larger AI and robotics names. ROBO (ROBO Global Robotics & Automation) is broader and more equal-weighted across smaller automation firms, and costs the most at around 0.95%. AIQ (Global X Artificial Intelligence & Technology) blends AI software, chips, and big-tech adopters in one fund. IRBO (iShares Robotics and Artificial Intelligence) is an equal-weighted global option that is cheaper than most peers (~0.47%).

The trade-off is consistent: thematic funds are broader than a single chip bet, but they include speculative, smaller names and charge higher fees (~0.68% to 0.95% versus ~0.09% to 0.35% for the broader options). They express the theme most directly and carry the most theme-specific risk.

A different angle is the software companies putting AI into products, rather than the chips underneath. The common fund here is IGV (iShares Expanded Tech-Software), which holds large US software firms, many of which are building AI features into their platforms. IGV captures applied AI: the businesses monetizing AI through products customers already use, rather than the hardware. It costs around 0.41% as of early 2026 and is less of a pure AI bet than a semiconductor fund, since it owns software broadly, not AI alone.

The cheapest and most diversified route is a broad technology fund. QQQ tracks the Nasdaq-100, which is dominated by NVDA, MSFT, AAPL, and GOOGL, the same mega-caps that lead AI, so it gives diluted AI exposure inside a broad fund (~0.20%). VGT (Vanguard Information Technology) is even cheaper at around 0.09% and covers the US tech sector, AI leaders included. Neither is a pure-play AI fund, and that is the point: they are the least concentrated, least expensive, and least theme-specific way to own the companies driving AI, at the cost of purity.

No single row is the answer. Semiconductor funds (SMH, SOXX) are the most direct and most volatile; thematic funds (BOTZ, ROBO, AIQ, IRBO) are broader and pricier with speculative names; software (IGV) captures applied AI; broad tech (QQQ, VGT) is the cheapest and most diversified but least pure-play. All are more volatile than a broad-market core, and none is a guaranteed winner. Costs are approximate and as of early 2026; verify current figures on each issuer's page.

The hard part is not finding AI ETFs; it is seeing how much they overlap with each other and with what you already own, and how each has actually done against a benchmark over the window you care about. Those answers depend on your real holdings, which is where an AI assistant connected to your account helps more than a generic screener. You can ask, in plain language, whether AIQ overlaps with the QQQ you already hold, how SMH compares to SOXX, or how a robotics fund has tracked the S&P 500.

That is what Walnut does. It connects your existing brokerage through SnapTrade and lets you compare these funds through Claude, ChatGPT, or a built-in assistant, see overlap across everything you own, and track each position against the market. It is read-only by default, and you approve any trade. Walnut is not an investment adviser; it helps you analyze and act on your own portfolio rather than telling you what to buy.

There is no single best AI ETF, because AI exposure is a set of overlapping angles, not one fund. Semiconductor funds (SMH, SOXX) are the most direct bet on AI hardware and the most volatile; thematic AI and robotics funds (BOTZ, ROBO, AIQ, IRBO) are broader but pricier and hold speculative names; software funds (IGV) capture applied AI; and broad tech (QQQ, VGT) is the cheapest, most diversified, and least pure-play way to own the AI leaders. AI infrastructure, data center, and energy sub-themes mostly route back to the chip and broad-tech funds. None is guaranteed, all are more volatile than a broad-market core, and several overlap heavily, so checking overlap before stacking funds matters.

To go deeper, browse the per-fund pages under ETF guides, read how to compare ETFs for the metrics that decide between two funds, or see the best fund per category in the best ETF in every category.