East Asia Tech Stocks Plunge Amid Waning Memory Cycle and Cracks in AI Hardware Faith

Collective Plunge in East Asian Tech Stocks: The Dual Resonance of a Waning Memory Cycle and Cracks in AI Hardware Faith

On a trading day in June, East Asian capital markets witnessed a rare, systemic sell-off across tech stocks. South Korea’s KOSPI index plunged 4%—its largest single-day drop in two years; SK Hynix and Samsung Electronics fell over 5% and 4%, respectively, dragging Japan’s Nikkei 225 down by 1%; China’s ChiNext Index tumbled more than 2%, the Shenzhen Component Index dropped 1.82%, and over 2,000 stocks across the Shanghai, Shenzhen, and Beijing exchanges declined. This selloff was no isolated incident—it marked the concentrated eruption of structural challenges confronting the global AI hardware investment thesis. It reflects both the objective turning point in the memory chip industry cycle—from peak to downturn—and deepening market skepticism regarding the sustainability of AI-related capital expenditures, the pace of profit realization, and the resilience of geopolitical supply chains.

The Memory Chip Cycle Turning Point: From “Supply Shortage” to “Inventory Backlash”

The core catalyst behind this selloff was the sharp correction among South Korea’s semiconductor titans. Together, SK Hynix and Samsung Electronics command approximately 70% of the global DRAM market and around 50% of the NAND Flash market. Their volatile share prices are a direct mirror of the reversal in memory chip market sentiment. Beginning in the second half of 2023, surging demand from AI servers drove quarterly DRAM prices up by over 30%, prompting aggressive capacity expansion and early customer stockpiling—creating a “demand illusion.” Yet Q1 2024 data revealed global server shipments rose only 2.1% quarter-on-quarter—far below earlier expectations. While demand for high-bandwidth memory (HBM) remains robust during AI training phases, HBM accounts for less than 5% of total DRAM production capacity and cannot offset oversupply pressures in the broader DRAM market. According to TrendForce’s latest report, contract DRAM prices fell 8% quarter-on-quarter in Q2 2024, while NAND Flash prices dropped 12%. Inventory days have climbed beyond 120 days—well above the healthy benchmark of 90 days. As the “sell at lower prices to move volume” strategy falters, fears of price wars loom, prompting markets to swiftly revise previously over-optimistic profit forecasts: SK Hynix’s Q1 operating profit declined 17% year-on-year, while Samsung Electronics’ semiconductor division posted an expanded loss of ₩6.3 trillion—clear signals of a waning cycle.

Geopolitical Supply Chain Risks: Dual Squeeze from Technology Controls and Capacity Restructuring

The memory chip downturn is further exacerbated by geopolitical variables—a classic case of “adding insult to injury.” The U.S. continues tightening export controls on advanced-process equipment to China—not only affecting foundries like SMIC, but also impacting SK Hynix’s and Samsung’s mature-node packaging and testing facilities in Xi’an and Suzhou. Recently, U.S. authorities added several Korean equipment suppliers to the “Unverified List” (UVL), causing delays in critical component import approvals—directly impeding yield ramp-up for HBM3. Meanwhile, Japan is accelerating its “Semiconductor Industry Revival Strategy,” pledging ¥2 trillion in support for domestic memory R&D by 2027. Although Yangtze Memory faces sanctions, it has achieved 90% yield on mass-produced 128-layer NAND chips through stacking-layer breakthroughs and domestic equipment substitution—gradually eroding the mid-to-low-end market. Supply chains are shifting away from unipolar dependence toward a multi-polar, “nearshoring + friendshoring” architecture. This restructuring is not merely short-term pain—it forces industry giants to fundamentally reassess the capital return profile of their global capacity footprints. As the old paradigm of “manufactured in China, sold globally” unravels, the fragility of highly leveraged expansion models becomes starkly apparent.

AI Hardware Chain Valuation Reassessment: From “Computing Power Arms Race” to “Profit Rationalism”

The East Asian tech selloff is, in essence, a regional reflection of the broader loosening of the global AI investment narrative. SpaceX lost $600 billion in market value over three days—not solely due to slowing Starlink growth, but reflecting a wider market scrutiny of capital expenditure efficiency at “hard-tech platform companies.” NVIDIA’s share price has corrected 23% from its peak—not because AI demand has weakened, but because investors now recognize that the H100 chip delivery peak has passed, B100 mass production timelines are lagging expectations, and cloud providers’ capex guidance is diverging. Even Google AI chief Jeff Dean’s sudden departure triggered sober reflection on over-optimism surrounding AGI timelines. As the faith in “computing power as moat” collides with reality, capital is pivoting from “concept-driven” to “cash-flow-validated” investing. Memory chips—the most upstream link in the AI hardware chain—lag significantly behind model iteration cycles in terms of profit realization. Institutional analysis shows HBM-related capex accounts for less than 15% of total AI spending, while falling DRAM/NAND prices directly erode server OEM gross margins—further dampening future procurement appetite. This transmission chain has driven three consecutive weeks of net outflows from semiconductor ETFs—evidence of a fundamental shift in valuation anchors.

Industry-Wide Transmission and Structural Pressure on A-Share Markets

Intermarket linkages across East Asia were especially pronounced during this selloff. China’s ChiNext Index led the decline, primarily due to the heavy weight of AI compute infrastructure stocks—including optical modules, PCBs, and copper foil—as well as upstream materials such as MLCCs and precious metals—all critically dependent on Korean and Japanese supply chains. For instance, over 60% of high-speed electrical connectors used by domestic optical module makers come from Japan’s Sumitomo Electric; core resin for PCB substrates relies on Korea’s LG Chem; and copper foil capacity expansion is tightly coupled to overseas EV battery demand. When the Korean won depreciated 1.2% against the U.S. dollar in a single day and the yen remained persistently weak, imported input cost pressures intensified. Compounded by slowing domestic new-energy vehicle sales, demand for copper foil and MLCCs simultaneously softened—creating a “dual blow” of shrinking external demand and weakening domestic demand. Notably, Momenta’s recent approval for listing on the Hong Kong Stock Exchange underscores resilience in the autonomous driving sector—but its valuation logic remains predicated on “long-cycle investment,” offering little near-term hedge against hardware-chain pessimism. With no clear new narrative emerging, capital has exited high-beta tech sectors en masse and rotated into defensive assets—causing market breadth to narrow sharply.

Conclusion: The Return of Cyclical Rationality and the Arduous Forging of a New Equilibrium

This collective plunge in East Asian tech stocks is far more than a technical correction—it marks a defining inflection point as the global tech industry transitions from an era of “frenzied investment” to one of “refined operations.” The memory chip cycle’s retreat reveals the physical limits of hardware innovation and the ironclad constraints of capital discipline; geopolitical supply chain restructuring compels enterprises to redefine the trade-offs between “efficiency” and “security”; and the valuation reassessment of the AI hardware chain signals that markets are embracing technological revolution with greater prudence—they demand real-world demand backing, not just story-driven premiums. Over the next six months, industry focus will pivot from “capacity expansion” to “structural optimization”: improvements in HBM3 yields, enhanced EUV lithography tool utilization rates, and tangible breakthroughs in AI server energy efficiency (measured in TOPS/W) will become the new pricing benchmarks. For investors, chasing generic “AI themes” is increasingly futile; instead, deeper engagement with niche leaders possessing technological depth, strong customer stickiness, and resilient cash flows offers superior long-term value. After the storm passes, what remains is not rubble—but a more rational industrial ecosystem and a sturdier foundation of intrinsic value.