Leveraged AI/chip ETF assets double to $84B in two months; Goldman flags bubble risk as Tradr launches 5 new single-stock products

<cite index="23-2">Assets in leveraged U.S. equity ETFs nearly doubled to $84 billion by end-May 2026 from $39 billion in April, while leveraged ETFs on South Korea and Taiwan surged to $43.1 billion from $17 billion over the same period</cite>, according to Goldman Sachs tracking data. <cite index="30-1,30-2">Tradr ETFs launched five new leveraged single-stock ETFs on July 1, 2026 on Ciena, Quantinuum, Rambus, Tower Semiconductor, and TTM Technologies, bringing its total lineup to 72 leveraged products representing approximately $10 billion in assets under management</cite>.

<cite index="23-1">Leveraged ETFs use derivatives to provide daily returns double and even triple the return of certain indexes and stocks, and investors reaching for leverage during the AI boom reflects common behavior during bull markets</cite>. However, <cite index="23-1">there is risk the money could reverse aggressively if there is a pullback in the AI trade as investors face big losses in the funds</cite>. <cite index="29-2">Advisors note that for buy-and-hold investors, leveraged funds can lose significant amounts of money in flat markets since they reset daily, and some advertised yields may not match client expectations</cite>.

<cite index="21-3">The Dow advanced 8.9% during the first six months of 2026, marking its best first-half performance since 2021; the S&P 500 rose 9.6%, and the Nasdaq outperformed with a gain of more than 12%, as semiconductor shares powered the market rally</cite>. For hedge funds and sophisticated traders, leveraged single-stock ETFs offer simplified access without margin complexity. But for retail investors, the mechanics of daily rebalancing and tail-risk concentration in memory stocks (SK Hynix, Micron, Samsung) create outsized volatility exposure that mismatches long-term conviction in the AI infrastructure story.