Nearly one in five dollars flowing through US ETF markets is now chasing artificial intelligence. AI-related exchange-traded funds have hit a record 19% of total US ETF trading volume, a milestone that underscores just how thoroughly the AI narrative has consumed Wall Street’s attention, and how far that capital is flowing from the crypto ecosystem that once claimed the “future of tech” mantle.
The figure encompasses a broad definition of “AI-related,” including semiconductor ETFs, technology-focused funds, memory chip vehicles, and even South Korea-themed ETFs, given the country’s outsized role in chip manufacturing through companies like Samsung and SK Hynix.
The numbers behind the AI ETF boom
AI-focused ETFs pulled in $19 billion in inflows during 2025. That’s up from $4.2 billion in 2024, roughly a 4.5x jump in a single year.
There are now approximately 92 US-listed AI ETFs holding around $50.8 billion in assets under management. The average expense ratio sits at 0.74%, which is notably higher than the rock-bottom fees investors have grown accustomed to with broad-market index funds.
For context, US-listed ETFs overall experienced a record $1.4 trillion in total inflows in 2025. The AI slice of that pie, at $19 billion, might seem modest in absolute terms. But when you measure by trading volume rather than assets, the dominance becomes clear.
Key players driving these flows include the Global X Artificial Intelligence & Technology ETF (AIQ), the VanEck Semiconductor ETF (SMH), and the Roundhill Generative AI & Technology ETF (CHAT).
How we got here
ChatGPT launched in late 2022, and the AI-themed ETF landscape has expanded relentlessly ever since. What started as a niche corner of thematic investing has become something closer to a market-defining force.
That frictionless path to market helps explain why 92 funds now exist in this category. When it’s easy to launch and investor demand is insatiable, asset managers will keep creating products until the music stops.
What this means for crypto investors
The 19% trading volume figure tells a story about where institutional and retail capital is flowing, and right now, it’s flowing into traditional equity vehicles that offer AI exposure. Not into AI tokens. Not into decentralized compute networks. Not into crypto-native AI projects.
There’s also a volatility consideration. When 19% of ETF trading volume is concentrated in a single thematic cluster, any shift in AI sentiment could create outsized market moves. Those moves tend to ripple across correlated assets, and crypto markets have historically shown sensitivity to tech sector drawdowns.