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Asian equity markets faced a sharp correction in semiconductor names on Friday, triggered by a renewed reassessment of global AI valuations and earnings sustainability. Technology-heavy indices across South Korea, Taiwan, Japan, and Hong Kong fell as investors moved to reduce exposure to high-multiple chip stocks. The key risk identified is the misalignment between aggressive AI capital expenditure plans and the near-term cash flow visibility of AI supply chain companies.
Asian chip makers are directly exposed to this repricing because the region hosts the backbone of AI hardware manufacturing, including memory, logic, foundry, packaging, and testing. With semiconductors representing a dominant weight in benchmarks such as the Kospi and Taiex, index-level declines mirrored the concentrated weakness in key names.
Repricing of the AI Growth Curve
The immediate trigger was the reversal in U.S. semiconductor shares, led by Nvidia (NASDAQ:NVDA), after an initial rally fueled by strong quarterly results. The reversal forced investors to question whether AI infrastructure spending can translate into earnings fast enough to sustain current valuations. Samsung Electronics and SK Hynix, the two largest suppliers of high bandwidth memory for AI training systems, fell as much as six percent and ten percent in morning trade and remained down over five percent. The Kospi dropped around three percent, reflecting heavy foreign outflows.
Investor positioning had been extended. Bank of America’s recent institutional survey showed that forty-five percent of respondents identified an AI bubble as the top tail risk. Fifty-three percent believe AI stocks are already in a bubble. The same survey highlighted concerns over the financing and magnitude of AI capital expenditure, indicating that sentiment had already been stretched before this selloff.
The reassessment is not only valuation-driven. Reports of memory chip buyers diversifying toward Chinese DRAM suppliers raised concerns about pricing power and demand concentration. This adds a structural dimension to what initially looked like a sentiment shift.
Regional Pressures Amplify Global Concerns
In Taiwan, the Taiex lost more than three percent, dragged down by Taiwan Semiconductor Manufacturing (NYSE:TSM) and Foxconn Technology Group, both falling more than four percent. Investors reassessed medium-term AI demand and questioned the sustainability of data center spending, highlighting rising inventories across the supply chain. The concern is not about long-term AI adoption but about near-term revenue realization against aggressive capacity expansion.
Japan faced an additional layer of pressure. Renewed yen volatility magnified market declines, particularly in exporters sensitive to currency movements. SoftBank Group and Advantest each fell more than ten percent, pulling the Nikkei down over two percent. Investors worried that earnings projections based on a weaker yen could be vulnerable if currency swings persist.
Hong Kong’s technology segment was not immune. Semiconductor Manufacturing International and Hua Hong Semiconductor both fell more than five percent, indicating concerns that even the broader Asia chip ecosystem could see profit compression from global price competition, inventory normalization, and uncertain U.S. export controls.
Market Impact Focus
The Philadelphia Semiconductor Index and related Asian semiconductor ETFs are likely to face further volatility as investors measure short-term earnings expectations against long-term adoption narratives. Spillover into broader equity indices will depend on whether the correction remains valuation-oriented or evolves into a margin compression story from oversupply and inventory buildup.
Institutional flows suggest that investors are de rating Asia’s semiconductor sector based on near-term earnings visibility rather than denying the long-term AI adoption trajectory. The distinction matters. A valuation correction can stabilize once expectations realign. An earnings compression cycle suggests further downside.
Forward View
In the near term, upcoming earnings from major foundry, memory, and logic chip producers will be critical in recalibrating expectations. December guidance will help investors assess whether AI spending is translating into sustainable order books or merely booked for future capacity. If revenues show sequential growth and inventory trends normalize, markets could stabilize.
In the alternative scenario, if spending growth remains front-loaded while revenue recognition lags, earnings estimates may face broader cuts in early 2025, prolonging the sector correction.
Medium-term valuation support will depend on data center spending trends from major AI hyperscalers and cloud firms. Any signs of spending moderation could accelerate derating pressure.
Conclusion
Investors can maintain selective exposure to AI hardware leaders with proven pricing power and order visibility, but should reduce leveraged or momentum-driven positions in high multiple semiconductor names until earnings guidance confirms the durability of AI infrastructure demand. The key risk to monitor is further inventory build-up combined with signs of demand diversification toward lower cost suppliers, which could signal that pricing power has already peaked.
