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Nvidia fuels rush into AI-focused leveraged ETFs

Nvidia fuels rush into AI-focused leveraged ETFs

CryptopolitanCryptopolitan2025/08/28 08:25
By:By Nellius Irene

Share link:In this post: Nvidia is now the most traded stock in the leveraged ETF market. More than 100 new leveraged ETFs launched in 2025, many tied to AI stocks. AI-focused ETFs hold most of the money in the leveraged ETF market.

Nvidia stokes stampede into AI-focused leveraged ETFs as investors scramble to ramp up bets on the artificial intelligence boom. The chipmaker’s meteoric rise has made it the most traded name in the leveraged ETF market, drawing billions of dollars from traders hoping to capitalize on outsized gains.

As its earnings beat Wall Street expectations , Nvidia is at the center of Wall Street’s latest fixation — high-risk funds that track the daily swings of stocks linked to artificial intelligence.

The surge signifies the hunger to be exposed to companies powering the AI revolution. The leveraged ETFs linked to individual stocks rely on swaps or options to deliver double or even triple the usual daily share movement. For Nvidia, for whose iconic stock this has already been a record-surge year, that has made for an appealing but perilous speculator’s playground.

In the first five months of 2025, over 100 new single-stock leveraged and inverse ETFs have debuted in the U.S., most directly or indirectly tied to AI. These products now dominate a lion’s share of assets in the space, which says a lot about how much Nvidia and other AI leaders like Tesla and Palantir vie for investor attention.

Investors are flooding into AI-themed ETFs

The numbers tell the story. Through merely eight months of 2025, asset managers have introduced 112 new leveraged and inverse ETFs linked to individual stocks. That’s nearly triple the 38 that launched in all of 2024.

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All told, there are now 190 single-stock leveraged and inverse ETFs listed in the U.S. Over half are associated with companies trying to capitalize on the AI wave. Combined, these funds with AI exposure hold $17.7 billion of the $23.7 billion deployed in the leveraged ETF universe.

One of the stars in that crowd is the GraniteShares 2× Long NVDA Daily ETF. It has $4.56 billion in assets gathered in the 14 months since it opened in December 2022. Some other big names driving the creation of ETFs are Tesla, Palantir, and NuScale Power, companies directly or indirectly linked to AI.

An ETF analyst at Morningstar, Bryan Armor, said the ETFs allow traders to increase their daily bets, adding that the potential upside is enormous but the risks are equally high.

Nvidia earnings set tone for big market shake-up

These speculative products get tested every earnings season, but the one from Nvidia’s report may be the check to checkmate. Following the results, options traders are positioning for a $260 billion market-value swing. That is about a 6% move in either direction.

Leveraged ETFs, those moves can magnify gains or magnify pain. The risks are not theoretical. Nvidia shares dropped 17% earlier this year on fears of new competition from a Chinese chip rival. That day, the GraniteShares 2× Nvidia ETF lost almost 34%.

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But the upside can also be explosive. Last week, surprise earner MongoDB also pointed to AI demand. Its stock rose more than 23% in after-hours trading. The brand-new Tradr 2× Long MDB Daily ETF climbed 46% overnight.

ETF issuers are raking it in. Leveraged ETFs average fees of 0.96%, almost double the industry average of 0.54%. But investors are still plowing money into the platform, eager for exposure to AI names.

Matt Markiewicz, head of product and capital markets at Tradr ETFs, said demand for such products continues to climb. He noted that his firm had recently launched a leveraged ETF tied to Constellation Energy, on the expectation that power producers would benefit as AI data centers consume more electricity. He added that there is currently a strong thirst among investors for companies that stand to profit from the AI boom.

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Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.

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