By Lina Irawan 
The immediate pain has been most acutely felt in the semiconductor sector, the foundational bedrock of the AI revolution. Chip stocks, which have soared on the promise of insatiable demand for processing power, have led the charge downward, contributing significantly to the broader market’s retreat. For the week, the S&P 500 saw a decline of 1.6%, while the technology-heavy Nasdaq Composite fared worse, shedding 2.9% of its value. This retreat from recent highs underscores a shift in investor sentiment, moving from unbridled optimism to a more cautious, scrutinizing approach.
A primary catalyst for this latest wave of selling was the unexpected release of a powerful new Chinese AI model. The unveiling of this advanced model, developed by a prominent Chinese tech giant, ignited concerns among investors regarding the sustainability and profitability of hyperscalers’ colossal spending plans. Hyperscalers – the titans of cloud computing like Amazon Web Services, Microsoft Azure, and Google Cloud – have been investing hundreds of billions of dollars annually into building vast data centers and acquiring cutting-edge AI chips. The emergence of a strong Chinese competitor raised questions about potential market saturation, intensified global competition, and the long-term return on investment for these gargantuan infrastructure projects, leading some to speculate if the current pace of AI infrastructure build-out might be unsustainable or, at the very least, less exclusive to Western tech giants than previously assumed. This apprehension swiftly translated into a sell-off across the AI supply chain, from chip designers to cloud service providers.
Despite the recent bloodbath, Tom Lee, known for his often contrarian yet frequently accurate market calls, remains steadfastly bullish on the long-term prospects of these beleaguered AI stocks. In a recent interview on CNBC on Friday, Lee articulated his conviction that the companies currently experiencing significant sell-offs are not merely speculative plays but are, in fact, at the nexus of "one of the most important strategic initiatives" for the United States. He emphasized that artificial intelligence is not just a technological fad but a critical national priority, driving innovation, economic competitiveness, and geopolitical influence. From defense applications to healthcare advancements and industrial automation, AI is poised to redefine numerous sectors, ensuring that the companies at its core have a substantial and prolonged growth trajectory, with "years of runway ahead."
Lee further contended that the market pullback, far from being a sign of fundamental weakness, is actually a "healthy" development. He suggested it serves to temper excessive speculation and froth that had accumulated during the preceding rally, particularly ahead of the upcoming earnings reports from the AI sector. By flushing out speculative positions and correcting inflated valuations, the market is setting a more robust foundation for future growth. This consolidation phase, according to Lee, ensures that when earnings season arrives, the companies’ performance will be evaluated on more realistic expectations rather than overly optimistic projections, potentially leading to more sustainable rallies. "I would still stick with those," Lee advised investors, reiterating his confidence. "I think those names are going to bounce later this year. So I don’t think that the trade is over." He views this as an opportune moment for long-term investors to accumulate positions in companies with strong fundamentals that are integral to the AI future.
However, Lee also acknowledged a significant factor amplifying the current volatility: the pervasive presence of leverage in today’s financial markets. He highlighted the growing popularity of instruments like zero-day trading options (0DTE) and highly leveraged funds, which he dubbed "push-button liquidity for everybody." These complex financial products allow investors to make highly speculative bets with minimal upfront capital, capable of generating outsized gains or catastrophic losses in mere hours. While they offer immense flexibility and rapid deployment of capital, their widespread use can exacerbate market swings, turning minor corrections into dramatic plunges as positions are unwound en masse. The rapid liquidation of these highly leveraged positions, often triggered by automated systems reacting to minor price movements, creates a domino effect that accelerates declines.
Lee underscored the magnitude of this leverage by pointing out that margin debt has surged by an astonishing 54% annually, marking the sixth biggest increase in the last 60 years. Historically, such significant spikes in margin debt have often preceded periods of market consolidation, suggesting that the current environment is not an anomaly but a recurring pattern. In the previous five instances of comparable surges, the market similarly experienced a period of digestion and recalibration, implying that the current correction might be a natural consequence of overheated speculation.
The dynamics of excessive leverage and its cascading effects were starkly evident in the South Korean market, which has recently endured its own dramatic reckoning. South Korea has experienced a nationwide stock-trading mania, fueled by the spectacular performance of its leading chipmakers, SK Hynix and Samsung Electronics, both pivotal players riding the global AI wave. SK Hynix, a dominant force in high-bandwidth memory (HBM) crucial for AI accelerators, and Samsung, a leader in memory and foundry services, became focal points for retail and institutional investors alike. The frenzied demand to capture upside from these AI bellwethers led to the proliferation of leveraged exchange-traded funds (ETFs) and other derivatives, which further stoked the country’s already booming market rally, creating an environment of intense speculative fervor.
However, this Korean stock boom has gone bust in recent weeks. The once-soaring Kospi index, which had hit a record high just last month, has since plunged by a staggering 27%, firmly placing it in bear market territory – a decline of 20% or more from recent peaks. This precipitous fall has had severe consequences for retail investors. According to Lee’s estimates, approximately 1.2 million brokerage accounts in South Korea, representing as much as 10% of the country’s total accounts, faced margin calls. A margin call occurs when the value of an investor’s margin account falls below the broker’s required maintenance margin, forcing them to deposit additional funds or sell off existing holdings to cover the debt. The sheer volume of these forced sales created a powerful feedback loop, driving prices even lower and exacerbating the correction as traders were compelled to liquidate positions regardless of their long-term conviction.
This dramatic unwinding in South Korea sent palpable ripples across global markets, which have become increasingly interconnected and sensitive to moves in bellwether stocks within the AI trade. A pivotal moment in the Kospi’s decline came last month when SK Hynix made comments suggesting it might slow down its AI memory business expansion. While perhaps a prudent business decision, the mere hint of a potential deceleration from such a key player was interpreted by many as a signal of cooling demand or impending oversupply in the critical AI memory market. This news sparked the Kospi’s fifth worst daily plunge in its history and dragged down indexes around the world, illustrating the profound influence of a few dominant AI component suppliers on global market sentiment.
Yet, despite the severity of the Kospi’s 27% crash, the impact on major U.S. indexes has been comparatively contained. The S&P 500’s dip of only 2% from its recent high and the Nasdaq’s 6% slide look like mere speed bumps when juxtaposed against the Korean market’s dramatic capitulation. Tom Lee interprets this relative resilience as a positive sign, reinforcing his "healthy pullback" thesis. "That’s why a rolling correction that we’re seeing now is super healthy because it’s not the whole market coming down," he explained. Instead, it’s "just pockets of it," implying that the correction is concentrated in specific, highly speculative segments of the AI trade rather than indicating a broad-based systemic risk. He added that many investors still have "ballast like owning the Mag 7 or the software stocks," referring to the diversified portfolios that include robust, well-established tech giants (the "Magnificent Seven") and other resilient software companies, which have provided stability amidst the targeted sell-off in certain AI-centric hardware names.
However, the enthusiasm for the AI boom is not merely waning among stock investors; even the typically more conservative bond investors are showing signs of apprehension. Bond markets, often considered a more sober barometer of financial health due to their focus on credit risk, yield, and long-term solvency, are less susceptible to the speculative fervor of market fads. As hyperscalers aggressively expand their AI infrastructure, they are increasingly resorting to issuing massive amounts of debt to finance these capital-intensive projects. Companies like Microsoft, Google, Amazon, and Meta are collectively spending hundreds of billions of dollars annually to construct vast data centers equipped with advanced AI processors, requiring substantial external financing.
But bond investors are now exhibiting clear signs that demand for this AI-related debt is waning. Torsten Slok, chief economist at Apollo Global, highlighted this concern in a recent note, pointing out a significant decline in what is known as the "cover ratio" for hyperscaler bonds. The cover ratio measures investor orders per every dollar of bonds offered, essentially indicating the level of demand for new debt issuance. Slok noted that this ratio, which stood impressively at nearly 5x in February 2026, had tumbled to below 2x by July. This sharp drop, compared to a mere half-point slip for investment-grade bonds overall in the same period, is a strong signal "suggesting investors may need wider spreads to absorb additional hyperscaler supply." In simpler terms, bond investors are demanding higher interest rates (wider spreads) to compensate for the perceived increased risk or reduced attractiveness of these bonds, directly translating to higher borrowing costs for tech giants.
The U.S. dollar bond market, the world’s largest and deepest, has become so saturated with corporate debt, including AI-related issuances, that some tech giants have reportedly begun issuing debt in other currencies to diversify their funding sources and tap into different investor bases. This strategy, while offering some flexibility, can also introduce currency risk and additional complexities. The burgeoning supply of AI-related corporate debt must also compete fiercely against the torrent of debt originating from the U.S. Treasury Department. As the federal deficit continues its alarming expansion, on track to hit an estimated $2 trillion this fiscal year, the Treasury is issuing an unprecedented volume of government bonds. This "crowding out" effect means that corporations must offer even more attractive terms to compete with the relatively safe, yet increasingly high-yielding, government debt.
JPMorgan strategists, in a note issued on Tuesday, echoed these concerns, stating that "The current hyperscaler widening is a byproduct of the high-grade investor community trying to rationally price in an accelerating pace of issuance." This expert assessment implies that bond investors are not rejecting the AI narrative outright but are rather engaging in a rational repricing exercise, factoring in the sheer volume of new debt hitting the market and the implications for credit quality and interest rate risk. The long-term success of the AI trade, therefore, hinges not only on technological innovation and market adoption but also on the financial sustainability of its underlying infrastructure, a factor increasingly under scrutiny by the typically more conservative corners of the financial world. The confluence of speculative stock market activity, magnified by leverage, and the growing caution in bond markets presents a complex landscape that investors must navigate with prudence, balancing the undeniable long-term potential of AI with the very real short-term financial realities.
