Leveraged AI ETF Assets Jump to $127.1 Billion in 2 Months as Mania Spurs Risk Warnings
Updated
Updated · CNBC · Jun 3
Leveraged AI ETF Assets Jump to $127.1 Billion in 2 Months as Mania Spurs Risk Warnings
1 articles · Updated · CNBC · Jun 3
Summary
$127.1 billion in leveraged ETF assets tied to U.S., South Korean and Taiwanese equities accumulated by end-May, nearly doubling in two months as investors chased amplified AI exposure.
U.S. leveraged equity ETFs rose to $84 billion from $39 billion, while South Korea and Taiwan funds climbed to $43.1 billion from $17 billion, according to Goldman data covering 636 ETFs.
Those products use derivatives to deliver 2x or 3x daily returns, raising the risk that any AI-stock pullback could trigger sharper losses and faster outflows.
South Korea and Taiwan have become central to the trade because SK Hynix and Samsung dominate the Kospi and TSMC accounts for more than 40% of the Taiex.
The surge comes as Alphabet, Microsoft, Meta and Amazon are expected to spend more than $700 billion on AI capex this year, though analysts warn the rally is entering unsustainable territory.
Why are Asian retail investors chasing leveraged AI ETFs while global institutions are cashing out?
Is the AI boom a new economic reality, or is it just history's biggest speculative bubble?
2026’s $100 Billion Leveraged AI ETF Boom: Retail Mania, Memory Supercycle, and Systemic Risks
Overview
In 2026, leveraged and inverse AI ETFs saw explosive growth, fueled by a surge of retail traders entering the market after the Covid pandemic and pouring capital into these high-volatility products. Notably, the Tradr 1.5X Short NVDA Daily ETF (NVDS) delivered strong returns as Nvidia shares declined, reflecting growing investor caution about the sustainability of massive tech spending and the immediate returns from AI investments. As the market shifted its focus from rapid growth to long-term profitability, these leveraged ETFs became both popular and risky, highlighting the need for careful investor due diligence in a rapidly changing landscape.