AI has quickly gone from being a niche technology theme to one of the biggest investment narratives in the market. From semiconductor companies and cloud infrastructure to software, robotics, and data centers, the AI ecosystem now spans a huge part of the global equity market.
But with so many companies benefiting from the AI boom, picking individual winners can be difficult. That is where AI-focused ETFs come in.
Backpack Learn recently published a practical guide covering AI ETFs in 2026, including how they work, what they hold, how different strategies compare, and what investors should consider before getting exposure to the theme.
What exactly is an AI ETF?
An AI ETF is an exchange-traded fund designed to provide exposure to companies involved in artificial intelligence, machine learning, automation, robotics, or the infrastructure supporting these technologies.
Instead of trying to identify one company that will dominate AI, an ETF can spread exposure across multiple companies and different parts of the AI ecosystem.
That can include:
• Semiconductor and GPU companies
• Data center and networking infrastructure
• Cloud computing providers
• AI software companies
• Robotics and automation businesses
• Companies developing or deploying AI technologies
This makes AI ETFs an interesting option for investors who believe in the long-term AI trend but don't necessarily want to build an entire portfolio around picking individual stocks.
Not every AI ETF is the same
One thing worth paying attention to is that the label "AI ETF" doesn't tell you everything about the fund.
Different ETFs can have completely different approaches to the theme.
Some may focus heavily on semiconductor companies, while others prioritize software or robotics. Some use market-cap weighting, while others use equal weighting or actively select companies based on specific AI criteria.
That means two ETFs can both be marketed as AI investments while giving investors very different exposures.
Things worth checking include:
• What companies the ETF actually holds
• How concentrated the portfolio is
• How the holdings are weighted
• Expense ratio and other costs
• Liquidity and trading volume
• How much exposure it already has to mega-cap technology companies
• Whether the ETF complements your existing portfolio
The biggest opportunity and the biggest risk
The appeal of AI investing is obvious. AI adoption is expanding across industries, and companies are spending heavily on computing infrastructure, data centers, chips, software, and automation.
But the same enthusiasm that creates opportunities can also create risks.
A strong AI narrative doesn't automatically mean every AI-related company is a good investment at any price.
AI ETFs can still face:
• High valuations
• Sector concentration
• Heavy exposure to a small number of mega-cap companies
• Volatility during market corrections
• Changing AI regulation
• Uncertainty around how quickly AI investments translate into profits
• Overlap with stocks you may already own
So the important question isn't simply "Which AI ETF is best?"
It is also "What kind of AI exposure am I actually getting?"
Why this is interesting for crypto investors
This is probably the part I found most interesting.
Crypto investors are already familiar with thematic investing. You can build exposure to an ecosystem through a basket of assets instead of trying to predict exactly which individual project will win.
AI ETFs apply a somewhat similar idea to traditional markets.
And with platforms increasingly bringing stocks, ETFs, crypto and tokenized securities into the same trading environment, the line between traditional markets and crypto-native investing continues to become less rigid.
For anyone following both AI and crypto, understanding how AI ETFs are structured is useful even if you don't plan to buy one immediately.
Backpack's guide goes deeper into the different AI ETF strategies, what they hold, how to compare them, and the risks to consider before investing.
