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These 3 AI ETFs Have Been on a Rocket Ride Higher. Here’s Why I’d Skip Them All and Just Buy QQQ Instead.


The initial frenzy surrounding the artificial intelligence trade has officially collided with a massive dose of late-cycle macroeconomic reality. 

For the past few years, the public has treated AI-focused ETFs like a monolithic, unstoppable train. But a look under the hood of the top thematic funds reveals that the AI trade has violently fractured, turning a one-way momentum party into a highly volatile landscape of winners and losers.

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So let’s look past the marketing material and evaluate a trio of ETFs that invest in AI-themed stocks. Here they are, side by side: 

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I’ll review the mission and top set of holdings for each, as they differ greatly. You can tell that just from dispersion between the 1-year and 3-year returns for the trio. They all have more than $1 billion in AUM, so liquidity is not an issue. Some stick to more visible and known stocks to U.S. investors than others, which have a lot of non-U.S. holdings.  

AI ETF #1: Global X Artificial Intelligence & Technology ETF (AIQ) 

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Strategy: Broad-spectrum enterprise integration. AIQ buys the chipmakers, but it also allocates assets across the entire global AI lifecycle. That includes software, cloud infrastructure, and hardware firms that are actively implementing AI to expand corporate margins. Other than a few prominent Asian companies in the top 10 holdings, this one looks a lot like the Invesco QQQ Trust (QQQ) in its stock membership. 

Performance: For that reason, cash-generating mega-cap hyperscalers drive this, not pure-play semiconductor startups. That’s great when hyperscalers act as relatively defensive plays. However, as I’ve warned here before, the potential is growing that we get a backlash against those behemoths. AIQ would be vulnerable in that case. 

AI ETF #2: Global X Robotics & Artificial Intelligence ETF (BOTZ) 

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Strategy: Pure-play industrial automation and robotics. BOTZ moves further down the application “food chain” so to speak, bypassing generic software firms to focus aggressively on companies leveraging AI for physical automation, industrial machinery, surgical robotics, and autonomous vehicles.



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