What Doosol Points Out
- The best AI ETFs let you invest in the entire AI boom without picking individual stocks. One fund, dozens of AI companies.
- You don’t need to guess whether NVIDIA or AMD will “win.” An AI ETF owns both — and swaps out losers automatically.
- These 5 ETFs range from pure chip plays (SMH) to broad AI exposure (QQQM). Same theme, very different bets.
- Expense ratios range from 0.10% to 0.99%. Over 10 years, that gap costs you thousands.
- Already own VOO or SPY? You already have AI exposure. An AI ETF is for people who want to turn up the volume.
Everyone wants to invest in AI. The problem? There are roughly 4,000 publicly traded tech companies, and half of them now claim to be “AI companies” — including the ones that just added a chatbot to their website and called it innovation.
You could spend weeks researching which AI company will be the next NVIDIA. Or you could buy one fund that owns NVIDIA, AMD, Broadcom, Microsoft, and 40 other AI companies at once — and let someone else do the homework.
That’s what the best AI ETFs do. Think of them as an all-you-can-eat buffet of AI stocks. You don’t pick individual dishes. You grab a plate and get a little bit of everything.
Here are the 5 worth looking at in 2026.
Wait — What’s an AI ETF?
An AI ETF is a fund that holds a basket of stocks connected to artificial intelligence. You buy one ticker, you get exposure to dozens of AI companies. New to ETFs entirely? Start with my guide on what an ETF is and how it works.
AI ETFs generally hold three types of companies: chipmakers (NVIDIA, AMD), cloud infrastructure (Amazon, Microsoft), and AI software builders. Some funds focus on just one slice. Others grab all three. Knowing the types helps you pick the best AI ETFs for your goals.
The 5 Best AI ETFs for 2026
1. VanEck Semiconductor ETF (SMH)
The “no chips, no AI” play.
Every AI model, every chatbot, every self-driving car — they all run on chips. SMH is a bet that whoever makes the chips wins, regardless of which AI app takes off.
- Top holdings: NVIDIA, Taiwan Semiconductor, Broadcom, AMD, Micron
- Expense ratio: 0.35%
- 1-year return: Over 60%
- Best for: People who believe AI’s real winners are the ones selling shovels during a gold rush.
- The risk: 25 stocks in one sector. When chips sneeze, this fund catches a cold.
2. Roundhill Generative AI & Technology ETF (CHAT)
The “pure generative AI” bet.
Most AI ETFs include any company that vaguely touches technology. CHAT is different — it’s actively managed, and every stock is selected based on how directly it contributes to generative AI revenue and R&D.
- Top holdings: NVIDIA, Microsoft, Alphabet, Meta, Amazon
- Expense ratio: 0.75%
- Holdings: ~48 stocks
- Best for: People who specifically want generative AI exposure — not just “tech companies that also do some AI.”
- The risk: Active management means higher fees, and fund managers don’t always beat the market.
3. Global X Artificial Intelligence & Technology ETF (AIQ)
The “cast a wide net” approach.
AIQ holds around 85 stocks across the entire AI value chain — chips, software, cloud, and companies using AI in their products. It also looks beyond the U.S., including Asian chipmakers like Samsung and SK Hynix.
- Top holdings: Samsung, SK Hynix, Netflix, Cisco, NVIDIA
- Expense ratio: 0.68%
- Best for: People who want broad, global AI exposure without being too concentrated in any single company.
- The risk: Wider net means some holdings are only loosely connected to AI. You’re trading focus for diversification.
4. Global X Robotics & Artificial Intelligence ETF (BOTZ)
The “AI in the real world” fund.
While other AI ETFs focus on software, BOTZ focuses on where AI meets physical reality — factory robots, surgical systems, autonomous machines. Heavy on Japanese robotics companies like Keyence and Fanuc that most U.S. investors overlook.
- Top holdings: NVIDIA, Intuitive Surgical, Keyence, ABB, Fanuc
- Expense ratio: 0.68%
- Best for: People who think the next AI wave isn’t another chatbot — it’s robots building cars and performing surgery.
- The risk: Robotics adoption is slower than software. This is a patient investor’s play.
5. Invesco Nasdaq 100 ETF (QQQM)
The “I want AI but I also want to sleep at night” pick.
QQQM isn’t a pure AI fund — it tracks the Nasdaq-100, which includes the 100 largest Nasdaq-listed companies. But here’s the thing: almost every major AI company is in the Nasdaq-100. You get NVIDIA, Microsoft, Amazon, Meta, Alphabet, and Tesla — plus 40% non-tech diversification as a safety net.
- Top holdings: Apple, Microsoft, NVIDIA, Amazon, Meta
- Expense ratio: 0.15% (cheapest on this list by far)
- Best for: People who want meaningful AI exposure without putting all their eggs in one basket.
- The risk: Not a focused AI bet. If AI stocks surge but the rest of tech doesn’t, you’ll underperform pure AI funds.
For a deeper look at this one, check out my QQQ vs QQQM comparison.
Best AI ETFs: Side-by-Side Comparison
| ETF | Focus | Stocks | Expense Ratio | Best For |
|---|---|---|---|---|
| SMH | Chips | 25 | 0.35% | AI hardware purists |
| CHAT | Gen AI | 48 | 0.75% | Generative AI believers |
| AIQ | Broad AI | 85 | 0.68% | Global diversifiers |
| BOTZ | Robotics | 44 | 0.68% | Real-world AI fans |
| QQQM | Nasdaq-100 | 100 | 0.15% | Balanced AI exposure |
“But I Already Own VOO…”
Good news: if you hold an S&P 500 ETF like VOO, you already own Microsoft, NVIDIA, Apple, Alphabet, Amazon, and Meta. That’s about 30% of the index — all major AI players.
So do you need a separate AI ETF? Only if you want to turn up the dial. An AI ETF is a concentrated bet that artificial intelligence will outperform the broader market. Recently, that bet has paid off. But concentration always means more risk on the downside too.
A practical approach: keep your core in something broad like VOO, then add 10-20% in an AI ETF as a satellite position. Best of both worlds.
The Bottom Line
The best AI ETFs let you ride the AI wave without pretending you can predict which company will win. Chips? SMH. Pure generative AI? CHAT. Robotics? BOTZ. A little bit of everything? QQQM.
The AI market is projected to hit $826 billion by 2030. You don’t need to time it. You don’t need to pick the winner. You just need a seat at the table — and an AI ETF is the easiest chair to pull up.
Disclaimer: This article is for educational purposes only and does not constitute financial advice. ETF prices, holdings, and expense ratios reflect publicly available data as of March 2026 and may change. Past performance does not guarantee future results. Do your own research or consult a financial advisor before investing.