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市場分析

Nasdaq Correction Deepens as AI Chip Stocks Tumble

Jerry · 1.4K ビュー

Nasdaq correction

Wall Street's technology rally hit a wall this week as the Nasdaq correction that traders had been quietly bracing for finally arrived. The Nasdaq 100 has now fallen more than 10% from its late-June record high, the textbook threshold for a correction, as a punishing four-day slide in semiconductor stocks wiped out months of gains built on the artificial intelligence infrastructure boom. What began as a routine bout of profit-taking has hardened into something more consequential: a market-wide reassessment of whether the extraordinary capital being poured into AI data centers can still be justified at current valuations.

How the Selloff Unfolded

The proximate trigger was not a US earnings miss or a Federal Reserve surprise, but a blockbuster initial public offering nine time zones away. CXMT, a Chinese memory chipmaker, staged a debut that stunned Western analysts who had long assumed China's semiconductor industry remained structurally years behind. The IPO signaled that the gap in advanced memory production, while still real, is narrowing faster than most models had assumed, raising the prospect of a price war in high-bandwidth memory, the category of chip most critical to AI data centers.

Micron, which derives a substantial share of its revenue from AI-adjacent memory products, absorbed the sharpest losses of the week, falling roughly 8% in a single session. AMD, whose data-center GPU lineup competes with Nvidia at the mid-tier, tumbled on the same read-through logic. Even Nvidia, the largest single component of the Nasdaq 100 and briefly the most valuable company in the world earlier this year, shed more than 4% as investors questioned whether the entire AI capital-expenditure cycle had been priced for perfection.

The AI trade is being looked at with a much greater degree of skepticism, and the shift in sentiment means it has become something of a one-way trade with things getting sold unmercifully.

The pain was not confined to US markets. South Korea's Kospi index plunged as much as 11% on its worst trading day of the year, triggering a circuit breaker, as Samsung Electronics and SK Hynix each dropped more than 13%. Taiwanese and Japanese chip suppliers suffered broad losses in parallel, and European technology names declined in sympathy, evidence that the repricing was not confined to a handful of US-listed names but reflected a genuine, sector-wide reassessment of the AI buildout.

A Nasdaq Correction Built on a Contradiction

What makes this particular Nasdaq correction unusual is that it does not appear to be driven by deteriorating fundamentals. Physical memory markets are, if anything, tightening rather than loosening. Third-quarter DRAM contract prices have settled 20% to 30% higher this month alone, and hyperscalers including Google and Meta have locked in supply contracts spanning five years, with most analysts not expecting meaningful new capacity to come online before 2028.

That disconnect between share prices and underlying demand has left strategists debating what is actually driving the selloff. Some argue that stock prices had simply run too far ahead of even optimistic growth assumptions, leaving no margin of safety once sentiment turned. Others see the CXMT listing as a genuine structural threat: not because China can out-produce US and Korean suppliers today, but because the market is now pricing in the possibility that it eventually will, years earlier than previously modeled.

Key Numbers Behind the Selloff

  • Nasdaq 100: down roughly 10.2% from its late-June record close
  • Philadelphia Semiconductor Index (SOX): fourth consecutive losing session, its longest streak this year
  • South Korea's Kospi: down as much as 11% intraday, triggering a circuit breaker
  • DRAM contract prices: up 20% to 30% quarter-over-quarter

The rotation within equity markets has been just as notable as the selloff itself. As capital fled chip names, the Dow Jones Industrial Average actually gained ground on the same trading day the Nasdaq 100 tumbled, climbing roughly 500 points as investors rotated into cyclical and defensive sectors perceived as less exposed to an AI valuation reset. Health care, communication services, and consumer staples all outperformed, while technology and energy names lagged.

Big Tech Earnings Loom as the Next Catalyst

Investors are now looking to a dense stretch of Big Tech earnings for evidence of whether AI infrastructure spending is decelerating or simply digesting a period of rapid growth. Microsoft's cloud division reportedly grew at its fastest pace in four years, a data point that cuts against the narrative of AI fatigue even as chip suppliers get pummeled. Meta, meanwhile, offered a more lackluster forward outlook that added to the unease, even as its current-quarter results largely met expectations.

Analysts are parsing three questions in particular as earnings season unfolds:

  1. Are hyperscalers signaling any deceleration in planned AI capital expenditure for the coming fiscal year?
  2. Is revenue growth from AI-linked cloud and advertising products still outpacing the cost of the infrastructure buildout?
  3. Does management commentary suggest confidence that current spending will translate into durable competitive advantage, rather than a commoditized arms race?

Answers that skew positive on all three fronts could help stabilize sentiment and potentially reverse the recent leg of the Nasdaq correction; answers that raise further doubts could deepen it. Options markets are already pricing in elevated volatility around each remaining earnings date this week, a sign that professional investors expect these reports to move markets sharply in either direction.

What Investors Are Watching Next

  • Whether DRAM and NAND pricing continues to climb
  • Additional developments out of China's chip sector
  • Guidance from remaining hyperscaler earnings reports
  • Broader macro conditions including bond yields and Federal Reserve policy

Some strategists argue the market's reaction has been disproportionate to the actual news. Others counter that valuations had become so stretched that even a modest shift in the competitive landscape was enough to trigger an outsized repricing.

Right now there's a lot of panic around the AI investment, but that panic doesn't square with what's happening on the ground.

How This Compares to Past AI Drawdowns

This is not the first time the AI trade has undergone a sharp correction. A similar episode unfolded roughly two years earlier, when a wave of disappointing earnings from major AI-linked names triggered a comparable pullback in the Nasdaq 100 over the span of a few weeks.

Historical Context

  • Nasdaq 100 corrections of 10% or more have occurred multiple times over the past three years
  • Average recovery time has ranged from two to six months

The View From Asia

The severity of the selloff in South Korea deserves particular attention. The Kospi's near-11% single-day decline triggered an automatic circuit breaker. Samsung Electronics and SK Hynix each fell more than 13%, erasing significant gains built over the preceding eighteen months.

The volatility spread globally, affecting Taiwanese suppliers and Japanese equipment makers, underscoring how tightly interconnected the semiconductor supply chain has become.

The Bigger Picture for AI-Linked Portfolios

For investors with heavy exposure to semiconductor and AI infrastructure names, the current Nasdaq correction is a reminder that a multi-year growth story can still experience sharp, sentiment-driven drawdowns.

Portfolio managers generally advise against making dramatic allocation changes based on short-term price action, emphasizing the importance of position sizing and long-term strategy.

Final Thoughts

For retail investors, the temptation during any sharp Nasdaq correction is to react to daily price swings rather than underlying fundamentals. Financial advisors recommend focusing on long-term earnings trajectories and diversification.

For now, the market remains split between two narratives: a healthy pause versus a deeper structural reassessment of AI investment returns. The coming weeks will be critical in determining which view prevails.

According to Bloomberg, Fortune, CNBC, Reuters via TheStreet, Seeking Alpha, and the Financial Times.

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