According to local media reports, South Korea's top financial regulator signaled on Tuesday that authorities may consider imposing investment limits on single-stock leveraged ETFs for retail investors if necessary.
The global semiconductor sector experienced a severe downturn, often called 'Black Tuesday,' driven by doubts about the return on massive AI capital expenditures by tech giants, concerns over Nvidia's alleged $750 billion 'circular AI financing' impacting global credit markets, and renewed competition from China's DRAM memory chip leader, ChangXin Memory Technologies (CXMT), which recently went public. South Korea's Kospi index plummeted over 10%, triggering its eighth circuit breaker of the year, while Japan's Nikkei 225 fell 4%.
Reports of potential limits on retail leveraged ETFs come at a time when the South Korean market, known as a 'barometer for AI computing power,' has experienced frequent volatility. The Philadelphia Semiconductor Index has entered a bear market. Measures such as raising minimum cash requirements, suspending new product listings, and setting personal investment caps could help reduce deleveraging pressure and mechanical buying and selling cycles, thus mitigating the non-linear impact from major storage giants like SK Hynix and Samsung on the broader Korean index and global risk appetite.
South Korea's plan to restrict retail single-stock leveraged ETFs is essentially an emergency brake on runaway financial leverage and market microstructure, not a vote of no confidence in the future of AI infrastructure. Samsung Electronics and SK Hynix together account for over half of the KOSPI's weight, and on some days contribute more than 80% of the index's trading volume. Consequently, the Korean stock market has become not just a window into AI industry sentiment, but a 'volatility amplifier' for global semiconductor trading, reshaped by leveraged ETFs.
Local media reports that Lee Bok-hyun, Governor of the Financial Supervisory Service, stated at a meeting with local brokerages and asset managers that regulators would study and prepare larger-scale measures to curb overheated demand for these high-leverage ETF products, such as imposing strict caps on the total investment amount per retail investor. Last week, regulators raised the cash deposit threshold required for retail investors to invest in such ETFs. These ETFs mostly track the two largest stocks in South Korea—Samsung Electronics and SK Hynix—which hold about 50% of the KOSPI index's weight and are major semiconductor manufacturers.
Due to concerns that these two Korean memory chip giants might lose market share to a strong Chinese competitor, CXMT, and the financing risks associated with ever-increasing AI infrastructure spending by tech giants, shares of Samsung Electronics plunged over 10% at one point during Tuesday's trading session in Seoul. SK Hynix, a rival and the largest memory chip competitor, which recently listed American Depositary Receipts (ADRs) in the US, also saw its shares in Seoul fall over 11% on Tuesday. Its ADR on the Nasdaq fell 10% on Monday, dropping below its recent IPO price.
On Tuesday, the KOSPI index collapsed 10%, led by declines in chip stocks like Samsung Electronics and SK Hynix, forcing the Korea Exchange to activate the SIDECAR circuit breaker again. The KOSPI crashed 10.76% by the end of the Asia-Pacific session, its largest single-day decline since 1998, and triggered its eighth circuit breaker of the year during the session due to a drop exceeding 8%. SK Hynix fell 14%; Samsung Electronics dropped 13.58%.
The Japanese market also felt the pressure, with the Nikkei 225 closing down 4%. Global NAND memory chip leader Kioxia saw its shares fall sharply by 18%, while two major Japanese semiconductor equipment giants, Tokyo Electron and Nikon, both fell over 9%.
As CXMT lists on China's A-share market, plunging SK Hynix stock and questions about Nvidia's financing put the AI computing chain under a major stress test. The global semiconductor sector faced a massive sell-off on Tuesday, triggered by a triple threat: doubts about AI capital expenditure returns, persistent concerns about an AI bubble burst fueled by Nvidia's 'circular financing,' and rising competition from Chinese memory chip makers. This pressure ignited the 'Black Tuesday' sell-off that spread from Wall Street to Asia-Pacific semiconductor stocks.
This 'Black Tuesday' was not triggered by a sudden deterioration in any single industry data point, but rather a systemic de-risking event simultaneously driven by doubts about AI investment returns, a reassessment of infrastructure financing quality, intensifying competition from Chinese storage, and a backlash from Korean leveraged trading. Samsung Electronics and SK Hynix, which together account for nearly half of the KOSPI, saw their shares fall as much as 13.4% and 14% respectively during the session, effectively making the Korean market a high-beta proxy for global AI hardware trading. Single-stock leveraged ETFs tied to these two stocks require daily dynamic rebalancing, mechanically selling on downturns, thereby amplifying fundamental concerns into a liquidity crisis.
Consequently, South Korean regulators have not only paused new product listings and raised the required cash balance for trading to 30 million won, but are also considering limiting the total investment amount per retail investor. The real target is the uncontrolled market microstructure, not a fundamental rejection of AI computing power demand.
The deepest pricing shift in the market is moving from 'how fast is AI revenue growing' to 'can these growth rates cover the cost of capital.' Alphabet, Google's parent company, raised its 2026 capital expenditure guidance to $195-205 billion. Despite its Google Cloud business reporting 82% quarterly revenue growth, the company recorded its first-ever quarter of negative free cash flow, with an outflow of $5.9 billion. Based on LSEG data, Wall Street analysts forecast that the combined capital expenditures of Microsoft, Alphabet, Amazon, Meta, and Oracle could exceed their free cash flow by 2027. The consensus estimate for this year's capital expenditures has already risen from approximately $485 billion at the start of the year to about $730 billion. Therefore, strong revenue and EPS are no longer sufficient to support valuations. The capital market is now demanding that companies simultaneously prove AI revenue growth, margin expansion, free cash flow improvement, and financing sustainability.
Recent media reports suggest that Nvidia's management is discussing providing a $250 billion financing guarantee for OpenAI's 10-gigawatt data center project in Ohio, potentially facilitating up to $350 billion in chip purchases. This has strengthened market concerns about a circular system where 'the supplier finances the customer, and the customer then buys the supplier's products.' However, it must be emphasized that this remains a negotiation proposal cited by media from insider sources, is not yet a final agreement, and the media has stated it cannot independently verify the information.
Meanwhile, CXMT surged 466% on its first day of trading, raising 57.92 billion yuan and achieving a market capitalization of around 3.3 trillion yuan. This has led the market to begin pricing in the significant pressure that a large-scale capacity expansion by China's DRAM giant, after its IPO, could place on global DRAM prices and the long-term DRAM market share of the two dominant Korean memory chip leaders.
South Korea's brake on leveraged ETFs signifies a transition for the AI super bull market from a 'leverage flywheel' to 'cash flow verification.' The 'Black Tuesday' crash is more accurately interpreted not as a debunking of the AI bull market, but as a shift in its pricing mechanism. This mechanism is moving away from retail leverage, momentum chasing, and limitless capex imagination towards order quality, balance sheets, free cash flow, and genuine end-user demand. What South Korean regulators are removing is the financial amplifier of the AI rally, not the computing power itself needed for data center construction. The real determinant of whether the bull market can continue will be whether the hundreds of billions of dollars in capex can be converted into sustainable free cash flow growth.
In the short term, restricting leveraged ETFs could weaken the rebound potential and accelerate the clearing of remaining positions. However, in the medium term, it could help eliminate mechanical buying and selling, allowing Samsung, SK Hynix, Micron, and global semiconductor stocks to be repriced based on the progress of HBM, DRAM, and 3D NAND technology updates, long-term order and supply agreements, product mix, and return on capital.
South Korea's plan to limit retail single-stock leveraged ETFs is fundamentally an emergency brake on runaway financial leverage and market microstructure, not a vote against the AI infrastructure industry's prospects. These products use derivatives to track two times or more of the daily return of the underlying stock. To maintain a fixed leverage ratio, they must buy more when the underlying asset rises and sell passively when it falls, creating a classic pro-cyclical feedback loop. Samsung Electronics and SK Hynix together account for over half of the KOSPI weight, and on some days contribute more than 80% of the index's trading volume. Therefore, the Korean stock market is no longer just a window into AI sentiment but has been transformed by leveraged ETFs into a 'volatility amplifier' for global semiconductor trading. Raising the minimum cash threshold, suspending new product listings, and setting personal investment caps can weaken this mechanical buying and selling cycle, reducing the non-linear impact of memory chip stocks on the entire Korean index and global risk appetite.
Therefore, regarding short-term investment prospects, regulatory tightening is not purely positive for AI asset prices. When leveraged ETFs were a significant marginal buyer for the market, restricting new funds can weaken the rebound's elasticity and force the market to return from 'liquidity pricing' to 'earnings and cash flow pricing.' The Philadelphia Semiconductor Index has fallen about 20% in July, with all 30 component stocks breaking below their 50-day moving averages. The KOSPI's single-day plunge of about 11%, led by Samsung and Hynix, alongside pressure on Japanese and other Asian chip markets, highlights how Korean market deleveraging is transmitting to the Nasdaq and SOX via US-listed ADRs, cross-border ETFs, quantitative momentum strategies, and global semiconductor risk budgets. While regulation may accelerate position clearing in the initial phase, it could be beneficial for reducing tail risk in the medium term as passive buying and selling pressure subsides, allowing semiconductor stock prices to re-anchor to orders, gross margins, and return on capital.
The global semiconductor sell-off triggered by the Korean deleveraging and de-concentration process does not mean the global AI data center construction cycle itself has been invalidated. This is primarily because the leverage from Korean retail investors was driving secondary market valuations and volatility, not directly financing the AI data centers, semiconductor fabs, or power infrastructure of hyperscale cloud providers. The real direction of AI computing investment is still determined by cloud provider capital expenditures, GPU cluster utilization rates, demand for HBM and server DRAM, power access capabilities, and project financing costs.
However, the violent turmoil and frequent circuit breakers in the Korean stock market reveal that the market had previously conflated 'strong industry demand' with 'unlimited valuation expansion.' When doubts arise simultaneously about competition from Chinese storage manufacturers, the quality of AI project financing, and the returns on hyperscale capital expenditures, high congestion, high valuations, and high leverage are sufficient to trigger a synchronized global adjustment, even if corporate earnings are still growing. In other words, the fact that fundamentals haven't reversed immediately does not mean prices won't undergo a deep deleveraging.
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