Best AI ETFs & Mutual Funds 2026: Invest in the Future of Technology

Why AI Investing Matters — Even if You’re Just Starting

If you’re interested in investing in technology, you’ve probably heard a lot about artificial intelligence (AI). And for good reason: AI is no longer a distant trend. It’s changing industries across the board — from cloud computing and semiconductors to healthcare, robotics, and even finance. Companies that harness AI are growing fast, and investors want to be part of that growth.

But if you’re new to investing, the world of AI ETFs and mutual funds can feel complicated. How do you pick the right fund? What’s the difference between an ETF and a mutual fund? And how do you make sure your money isn’t concentrated in just a few volatile stocks?

Let's break down the best AI ETFs and mutual funds for 2026, explain how they work, and give you the insights you need to invest confidently — all in plain language.

Understanding AI ETFs and Mutual Funds

What’s the Difference Between ETFs and Mutual Funds?

At a high level:

• ETFs (Exchange-Traded Funds) are like baskets of stocks you can buy and sell throughout the day on the stock market, just like a regular stock. They usually have low fees and are easy to trade.
• Mutual Funds are professionally managed pools of stocks or bonds. They’re priced once a day and are great if you like a hands-off approach or want to set up automatic investments.

Both can give you exposure to AI, but the key difference is how you trade them and how much you pay in fees.

What Makes a Fund an “AI Fund”?

AI-focused funds invest in companies that are either developing or using AI in their products. This includes:

• Hardware companies — like Nvidia or AMD, which make the chips that run AI models
• Software companies — like Microsoft and Alphabet, which are building AI tools and cloud platforms
• Robotics and automation companies — like Fanuc or Teradyne, which apply AI to real-world machines

A well-chosen AI ETF or mutual fund gives you diversified exposure, so you’re not betting everything on one stock.

Top AI ETFs to Consider in 2026

Here’s a look at some of the leading AI ETFs that balance growth potential, diversification, and cost — explained in beginner-friendly terms.

1. Global X Artificial Intelligence & Technology ETF (AIQ)

Why it’s good for beginners:

• Large, diversified portfolio across AI software and hardware
• Easy to buy and sell like a stock
• Managed by a reputable firm with strong institutional support

What to watch out for:

• Includes some volatile tech stocks, so your investment can fluctuate
• Expense ratio is around 0.68%, slightly higher than broad index funds

Bottom line: AIQ is a solid starting point if you want broad exposure to AI without concentrating on just a few companies.

2. Global X Robotics & AI ETF (BOTZ)

Focus: Robotics and automation technologies powered by AI.

Why it’s interesting:

• Gives exposure to companies making industrial, medical, and logistics robots
• Includes international companies, so you’re not limited to U.S. stocks

What to watch out for:

• Slightly smaller fund, so trading spreads can be wider
• Volatility can be higher because it includes specialized industrial stocks

Bottom line: BOTZ is great if you’re excited about AI in the real world — factories, hospitals, and smart machines.

3. Roundhill Generative AI & Technology ETF (CHAT)

Focus: Generative AI (like large language models and advanced AI software).

Why it’s exciting:

• Invests in companies driving the AI breakthroughs you hear about in the news
• High growth potential

Risks:

• More volatile than broad AI funds
• Concentrated in fewer, high-growth companies

Bottom line: CHAT is for investors who are comfortable with some extra risk and want exposure to the cutting edge of AI.

4. iShares Future AI & Tech ETF (ARTY)

Focus: Broad technology exposure with an AI tilt.

Why it’s beginner-friendly:

• Lower expense ratio than some competitors
• Mixes mature tech companies with emerging innovators
• Diversified across hardware, software, and cloud infrastructure

Bottom line: ARTY is a good compromise if you want AI exposure but don’t want a fund that swings too wildly.

5. ROBO Global Robotics & Automation ETF (ROBO)

Focus: Robotics and automation companies worldwide.

Why it’s useful:

• Equal-weighted holdings reduce dependence on a few mega-cap stocks
• International exposure provides diversification outside the U.S.
• Focus on industrial and service robotics gives a balance to AI investing

Bottom line: ROBO is a smart way to capture AI-driven robotics trends without overconcentration in tech giants.

AI Mutual Funds Worth Considering

Some investors prefer mutual funds over ETFs, especially if they’re setting up automatic contributions or retirement accounts.

1. Fidelity Select Technology Portfolio (FSPTX)

Overview:

• Broad tech mutual fund with significant AI exposure
• Invests in cloud, software, and semiconductor companies
• Historically strong long-term returns

Why it’s beginner-friendly:

• Professionally managed, so you don’t have to pick individual stocks
• Provides indirect exposure to AI while diversifying across tech

Bottom line: FSPTX is a great choice for investors who want a hands-off, long-term approach.

What Experts Say About AI Investing

Industry experts consistently highlight AI as a long-term growth theme. Key points:

• AI adoption is happening across every sector — from healthcare to finance to logistics.
• Companies leading in AI infrastructure (like Nvidia, Microsoft, and Alphabet) are likely to benefit for years.
• Thematic AI ETFs have historically outperformed during technology adoption cycles.

Research insight: Academic studies suggest that AI is also transforming investing itself — machine learning models can improve portfolio optimization and risk management. That means AI is not just a theme to invest in; it’s a tool that helps investors make smarter decisions.

How to Evaluate AI ETFs and Mutual Funds

When you’re choosing a fund, consider:

• Expense ratio: Lower costs mean more of your money stays invested
• Holdings exposure: Make sure the fund isn’t too concentrated in just a few stocks
• Liquidity: Larger funds are easier to buy and sell
• Volatility: Thematic AI funds can swing more than broader market indexes

Here’s a simple comparison table to illustrate:

How to Allocate AI Funds in Your Portfolio

For beginners and intermediate investors, experts recommend treating AI funds as a satellite to a core portfolio:

• 70–80% Core: Broad indexes (like the S&P 500 or total market funds)
• 10–20% AI/Tech ETFs: Focused AI exposure
• 5–10% Specialist ETFs: Robotics or generative AI plays

This approach gives you growth potential without taking on excessive risk.

Risks to Keep in Mind

Even though AI investing is exciting, remember:

• Volatility can be high
• Many funds hold similar big tech names — diversification might be less than it seems
• Valuations can be expensive, especially for generative AI stocks
• Market cycles affect performance — AI funds may lag during downturns

The key takeaway: think long-term, stay diversified, and invest in a way that aligns with your risk tolerance.

Conclusion: Why AI Funds Are Worth Considering

Investing in AI ETFs and mutual funds is a practical way to participate in one of the biggest technology trends of our lifetime.

For beginners and intermediate investors:

• Start with broad, diversified funds like AIQ or ARTY
• Consider niche funds like CHAT or BOTZ for higher-growth exposure
• Use mutual funds like FSPTX for hands-off, professionally managed exposure

By allocating thoughtfully, you can capture AI-driven growth while managing risk. And as AI continues to transform industries, these funds offer a window into the future of technology — without needing to pick individual stocks.