You want a piece of the AI boom without betting everything on one chipmaker. The good news is, you can. An AI ETF holds a collection of companies tied to AI, and one share buys the whole group. You get six funds across the AI supply chain to choose from, plus some tips and tricks for comparing and choosing.
These funds are geared towards long-term investors who want AI exposure but don’t want to pick single stocks. The thing is, if you get it wrong and pick the wrong fund, you’ll be paying a premium for companies you already own. The AI market has moved fast over the past few years, and the AI ETF space is getting crowded with new funds popping up all the time, from chips to AI tech in software.
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What Is an AI ETF?
An AI ETF is an exchange-traded fund that owns shares in technology companies that are working on artificial intelligence. Think of it as getting pre-built AI stock exposure. Chipmakers, cloud providers, and generative AI developers, all in one neat package. Like other ETFs, it trades on the secondary market at a price that changes throughout the day, unlike mutual funds. New to the structure? Here is how ETFs work. Artificial intelligence ETFs give you the theme without researching the companies involved in AI development.
AI ETF vs Technology ETF
Here is where people slip up. A broad technology ETF and an AI ETF sound like twins. They hold the same tech stocks but aim at different things. A technology ETF targets companies across the whole tech sector. The iShares U.S. Technology ETF charges 0.38% and holds the broad U.S. tech sector, not an AI slice.1 An AI ETF narrows the lens to AI. Both own technology companies; the difference is focus. Want broad growth instead? Compare these with growth ETFs.
How AI Stocks Compare to Funds
Why not just buy the AI stocks directly? You can, but a fund can offer some upsides. For one thing, it can spread your risk across many AI stocks, which can cushion a single stumble. For most people building wealth over time, the fund means fewer decisions and fewer bad picks.
AI ETFs and Mutual Funds
You’ll also see AI mutual funds out there. The holdings can look similar, but the wrapper behaves differently. Exchange traded funds trade all day and usually cost less; mutual funds price once after the close and often charge higher fees. For a full head-to-head comparison, take a look at ETFs versus mutual funds.
The bigger point though is taxes. When a fund manager trades in and out of positions often, those sales can trigger capital gains that get handed to shareholders, including people who never sold a single share. In a mutual fund, that leaves you owing tax on gains you didn’t cash out. The ETF structure sidesteps most of that, so those surprise capital gains distributions are far less likely to reach you. Chasing an actively managed or high-turnover AI fund? The ETF is the favored wrapper for it. In a taxable account, that edge adds up over time.
The Types of AI Exposure
Not every AI holding is a pure play. Some companies are directly exposed to demand for AI tech, like a model builder selling AI software. Others get only a little bit of exposure, a utility selling power to a data center will benefit some, even though AI isn’t its core business. A chipmaker, on the other hand, is right at the center of it, with a lot more direct exposure than that utility. When you scan an AI ETF, ask yourself what kind of exposure are you buying: pure play exposure or broader AI stock exposure?
AI funds fall into a few different buckets. Some are all about the hardware: chips, memory, and the data centers that run the models. Others act like a next gen software ETF, holding the generative AI and application layer. A few even try to own the entire AI theme at once. Each bucket bets on capturing emerging growth opportunities inside AI technology as the buildout continues.
1. Semiconductors and AI Technology: SMH
Chips are the foundation of AI technology, that’s why many investors start here. The VanEck Semiconductor ETF (SMH) holds 26 U.S.-listed chip names and charges 0.35%.2 Its top holdings are no surprise: Nvidia at 18.41% of the fund. The fund invests to correspond generally to a semiconductor index, tracking its price and yield performance, which sets the fund’s market price. Its 1-year return hit 150.62% as of 5/31/2026, an endpoint that flatters it, so do not bank on a repeat. See our best semiconductor ETFs. For further data on each ETF, scroll below.
2. Memory Chips: DRAM
Memory is the next layer. AI models eat enormous amounts of it, and the Roundhill Memory ETF (DRAM) is pure play exposure to the memory makers that supply it.3 Its strategy is intensely concentrated, with Micron at 25.96%, and the fund’s active management gets to pick the names. The basket holds very few stocks, so expect significant volatility. Lean on a handful of names and one rough quarter from any single one can jolt the whole fund, which is the risk to keep in mind here. One catch: DRAM launched on April 2, 2026, so its record is thin. Its since-inception return of 161.51% is cumulative over roughly one quarter, not annualized, and there is no 1, 3, or 5-year data yet. With that said, the fund has currently broke the record to becoming the fastest-growing ETF to reach $20B in AUM.
3. Data Centers and Infrastructure: DTCR
All that spending on AI has to live somewhere, that’s where data centers come in. The Global X Data Center and Digital Infrastructure ETF (DTCR) owns the REITs and infrastructure behind the AI technology buildout, led by Equinix at 12.30%, for 0.50% a year.4 Data centers take years to plan, build, and fill. The fund invests across 25 names, and its market price rides the pace of construction. Its 1-year return came in at a respectable 64.76%.
4. Broad AI Exposure: AIQ
Want a single fund to cover the entire AI theme? The Global X Artificial Intelligence Technology ETF (AIQ) spreads across 84 companies at 0.68%.5 That basically makes it the broadest AI ETF here, with SK Hynix leading its top holdings at 7.94%. The Global X Artificial Intelligence Technology ETF tracks the Indxx AI and Big Data Index, built to correspond generally to that benchmark’s price and yield performance.
AIQ as an Artificial Intelligence Technology ETF
As the Global X Artificial Intelligence Technology ETF, AIQ takes the opposite approach to a single-stock bet. Where a fund like DRAM concentrates on one sector, AIQ holds names across chips, software, and platforms, so no single company drives the whole result. For a hands-off investor, that spread is the appeal: you own artificial intelligence broadly, not one winner. The trade-off is dilution. When one AI name doubles, a fund holding 84 feels it less.
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5. Robotics and Automation: BOTZ
Robots need brains. That is the AI technology angle for the Global X Robotics and Artificial Intelligence ETF (BOTZ), which owns 62 automation and robotics companies at 0.68%, led by Keyence at 9.75%.6 Robotics has lagged the flashier AI trades. BOTZ returned 16.24% over the past year, well behind the chip and memory funds, with a 5-year figure of just 1.82%. If your thesis is physical automation, this is the cleaner play.
6. Generative AI: CHAT
Generative AI is the layer most people actually interact with. Chatbots, image tools, code assistants. The Roundhill Generative AI and Technology ETF (CHAT) zeroes in on exactly that.7 It is actively managed, so the fund’s active management picks which generative AI names make the cut instead of tracking an index. Think of it as a next gen software ETF built around companies with real generative AI revenue and AI technology at the core, with Nvidia on top at 6.98%. CHAT charges 0.75%, the priciest here, and its 1-year return was a whopping 108.03%.
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Why the Top Holdings Are Worth a Close Look
Here is something very important to check before you buy. Many of these funds share the same top holdings. Buy three AI ETFs and you might end up owning the same AI stocks three times over. That is the same thinking that traps new investors. Most of the stocks mentioned are familiar mega-cap tech stocks. The largest ETFs by assets prove the point, so know how many ETFs you actually need before you stack them.
How to Compare AI ETFs
Comparing AI ETFs really boils down to a few numbers. Start with the expense ratio. Then the fund’s market cap and how its market price has moved. See how each technology ETF compares on the stocks mentioned, not the label. A fund’s past performance and performance data show how it behaved in the past; current performance shows where it stands now. Neither one of them guarantees your future investment return. Most artificial intelligence ETFs look alike up on the top, you need to match your pick to your own investment strategy. You do not need a stock advisor to do it.
| InvestLane AI ETF Comparison | ||||||||||||
| Fund data as of ~July 1 to 5, 2026. Returns as of June 30, 2026; SMH returns as of May 31, 2026 (see Notes & Sources). Percentages are total return. | ||||||||||||
| Fund | Fund Data | Returns & Yield | ||||||||||
| Ticker | Fund Name | Inception | Expense Ratio | Net Assets ($B) | Holdings | Mgmt Style | Top Holding | Returns As-Of | 1-Year | 3-Year | 5-Year | Since Inception |
| AIQ | Global X Artificial Intelligence & Technology ETF | 05/11/2018 | 0.68% | 10.21 | 84 | Index | SK Hynix 7.94% | 6/30/26 | 49.74% | 32.96% | 16.69% | 20.22% |
| BOTZ | Global X Robotics & Artificial Intelligence ETF | 09/12/2016 | 0.68% | 3.55 | 62 | Index | Keyence 9.75% | 6/30/26 | 16.24% | 9.96% | 1.82% | 10.46% |
| CHAT | Roundhill Generative AI & Technology ETF | 05/18/2023 | 0.75% | 1.95 | 48 | Active | NVIDIA 6.98% | 6/30/26 | 108.03% | 52.20% | n/a | 56.03% |
| DRAM | Roundhill Memory ETF | 04/02/2026 | 0.65% | 22.16 | 20 | Active | Micron 25.96% | 6/30/26 | n/a | n/a | n/a | 161.51% |
| DTCR | Global X Data Center & Digital Infrastructure ETF | 10/27/2020 | 0.50% | 2.51 | 25 | Index | Equinix 12.30% | 6/30/26 | 64.76% | 32.52% | 13.77% | 14.94% |
| SMH | VanEck Semiconductor ETF | 12/20/2011 | 0.35% | 73.28 | 26 | Index | NVIDIA 18.41% | 5/31/26* | 150.62% | 61.46% | 37.72% | 30.54% |
Expense Ratios, Risk Adjusted Returns, and International Exposure
Two more things separate these funds. Risk adjusted returns tell you how much bumpiness a fund took on to earn its gains, so a lower headline return can still end up being the better hold. International exposure is the other one. AIQ and BOTZ carry heavy weights in Asian names like SK Hynix and Keyence, while the U.S. chip funds stay closer to home. Want an international exposure set inside your AI sleeve? The Global X funds lean that way. See our picks for international exposure.
How to Choose the Best AI ETFs
How do you choose the right AI ETF? Start by thinking about what you want to get out of it. Want a broad AI theme with a minimum of hassle? A broad AI ETF like AIQ is the way to go. Want the biggest possible gains, but are willing to take some big swings? A concentrated chip or memory fund leans that way. Even a plain technology ETF can overlap here, so read the holdings. Skip the chatter about stock advisor returns and do your own quick stock research on each fund. Want the fundamentals first? We wrote up the ETF investing ground rules.
The Risks of AI ETFs
Now for the honest truth. AI ETFs carry real risks and downsides. These funds concentrate in a hot theme. When AI stocks sell off, they fall harder than a broad index. You risk owning too much of one story in a single fund. Government regulation could reshape the sector fast. A fund’s strong past performance does not guarantee future results, and your principal value can drop below what you paid. Match the risk to your own risk tolerance. A stock advisor might pitch the winner; a fund spreads the bet, but cannot promise the investment results you might be looking for.
How to Add AI Exposure to Your Portfolio
Who AI ETFs Are Best For
AI ETFs fit a specific kind of investor. Got a long runway, interested in the AI space, and can stomach some big ups and downs? These funds earn a spot in a portfolio as a portion, not as your whole investments. Investors interested in adjusting exposure can add on dips with portfolio cash ready for it. Got cash sitting idle and a high risk tolerance? A starter position makes sense. No stock advisor required. Many long-term holders park these in a Roth IRA, so ask your tax advisor where it fits. See our long-term ETFs for a Roth IRA for real insights.
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Who Might Want to Hold Off
On the flip side, some investors should probably wait. If your portfolio is already stuffed with tech, another AI fund just doubles down on names you own. Retirees drawing income soon may not want a volatile theme fund up top. And if you cannot watch a holding drop 30% without panic-selling, build the core first. Waiting is a valid call.
How to Add AI Exposure the Smart Way
Here is the smart way to add AI exposure: decide what you want, then buy the fund that delivers it. Want chips? SMH is your fund. For the whole theme in one ticker, AIQ. CHAT leans generative. Before you buy, open the fund page and read the top holdings, because two of these AI ETFs can hold the same stocks. Check the expense ratio against what you get. None of this is investment advice, and a tax advisor can tell you which account to hold it in. You do not need a stock advisor or a hot tip to make a sound investment decision. If one fund feels like plenty, there is a simpler one-fund option worth a look.
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