On July 17 (Beijing time), all three major US stock indexes closed lower. The Dow Jones Industrial Average ended at 52,552.97, down 0.20%. The Nasdaq closed at 25,881.95, down 1.47%. The S&P 500 finished at 7,533.77, down 0.51%. The semiconductor sector led the decline, with the Philadelphia Semiconductor Index (SOX) plunging 4.29% in a single day, hitting its lowest point in over a month.
What makes this downturn unusual is that it followed a remarkably strong earnings report. TSMC (TSM) posted record highs in profit, gross margin, and operating margin for Q2. Chairman C.C. Wei raised the company’s projected US dollar revenue growth rate for 2026 for the second time to "slightly above 40%" (previously estimated at nearly 30%). TSMC also increased its full-year capital expenditure guidance from $52–56 billion to $60–64 billion. Yet, after the earnings release, US semiconductor stocks broadly pulled back.
Andrew Jackson, strategist at Ortus Advisors, offered a telling assessment: "US tech stocks and the AI sector have once again faced broad sell-offs, with the strongest performers recently falling further. The reason is that TSMC’s earnings, released yesterday in Asia, were not seen by the market as sufficient to support further gains in the sector. Instead, they sparked concerns about excessive spending in the AI space."
The phenomenon of "good earnings = stock price drop" has been interpreted as a classic example of the so-called "earnings curse" for chip stocks. When the market has already priced in strong results, an earnings beat can trigger profit-taking. The deeper issue behind this is whether, after months of sharp gains, valuations for global AI-related stocks have become excessive, and whether the return cycle for AI infrastructure investments is now a core variable for investors to reconsider.
This article analyzes the earnings risks across three major sub-sectors—storage, GPU, and equipment—ranking them based on valuation levels, capital expenditure intensity, and demand sustainability. It also highlights key signals to monitor going forward.
Storage Sector: High Elasticity, High Fragility
Storage chips took the hardest hit in this sell-off. On July 17 (Beijing time), SK Hynix (SKHY) plunged 13.69%, SanDisk (SNDK) fell 12.63%, Seagate Technology dropped 10.00%, Western Digital lost 9.15%, and Micron Technology (MU) declined 5.65%. The pressure was felt in Asia as well—Japanese storage chip maker Kioxia tumbled over 15%.
This sharp decline wasn’t an isolated event. On July 7, Samsung Electronics issued its Q2 2026 earnings guidance, projecting consolidated revenue of about 171 trillion KRW and operating profit of roughly 89.4 trillion KRW—a record high. Yet, this stellar performance triggered a global sell-off in chip stocks, with Samsung’s shares plunging over 6% that day. Jordan Klein, TMT industry analyst at Mizuho Securities, noted that the market’s reaction to Samsung’s preliminary results was "clearly overdone," suggesting the sell-off was more about profit-taking after momentum faded than any fundamental deterioration.
However, two weeks later, the storage sector had not stabilized. This signals the need to examine the deeper risk structure of the storage segment.
Risk Source 1: Structural Constraints in Pricing Mechanisms. On July 17, Korean brokerages cut SK Hynix’s Q2 earnings forecasts, citing the company’s heavy reliance on long-term fixed-price contracts for high-end HBM chips. This prevents SK Hynix from fully benefiting from the 30–50% price surge in the spot market. In a rising spot price cycle, locked-in contract prices actually limit profit elasticity; in a downturn, contracts offer some buffer, but the market often focuses only on the "missed upside."
Risk Source 2: Divergence in Demand Sustainability. Morgan Stanley previously pointed out that the real test will come during the Q2 2026 earnings season. If hyperscale cloud providers maintain or raise their capital expenditure guidance, it’s a buying opportunity for storage stocks; if they cut guidance, the oversupply narrative will gain traction. IDC’s analysis extends this perspective: in the short term, high valuations for storage are still supported by HBM supply-demand gaps, but by 2027, if AI commercialization doesn’t keep pace with capacity expansion, the storage industry will face greater challenges.
Risk Source 3: Structural Fragility from Crowded Trades. By mid-July, the semiconductor sector accounted for about 20% of the S&P 500’s weighting. For comparison, during the dot-com bubble in 2000, this figure was just over 8%, with historical averages between 2% and 5%. Bank of America’s latest fund manager survey shows cash allocations have dropped sharply from 4.1% to a mere 3.6%, and the bull-bear indicator is at 9.4 out of 10. In such an extremely crowded trading environment, any marginal negative can be amplified into a systemic pullback.
Overall, the storage segment faces the highest risk ranking this earnings season. The core logic: high valuations (after months of sharp gains, valuations are at historic highs), high crowding (storage is one of the most crowded AI trades), and high uncertainty (the disconnect between HBM contract pricing and spot price trends, plus unpredictable cloud provider capital expenditure guidance).
GPU & AI Computing Chips: Valuation Pressure for Leaders, But Fundamental Resilience Remains
Compared to the volatility in storage, the GPU/AI computing chip segment saw milder declines, but the pressure is still evident. On July 17 (Beijing time), Nvidia (NVDA) fell 2.40%, AMD dropped 5.33%, and Broadcom (AVGO) lost over 5%.
Fundamentally, Nvidia’s latest earnings showed revenue of $81.62 billion, up 85.2% year-over-year—the fastest growth in the industry. AMD’s earlier report showed revenue up 38%, with AI now the core driver for data center growth. Even after the recent pullback, AMD’s market cap remains near $900 billion, and valuation pressures are significant—AMD’s P/E (132.8x), P/B (9.0x), and P/S (16.4x) are all far above sector averages.
The risk logic for GPUs differs from storage.
The central issue is the ever-rising bar for expectations. The market’s reaction to TSMC’s earnings revealed a key shift: investors now demand not just "earnings growth" from AI hardware companies, but "earnings growth that exceeds already lofty expectations." As Trade Nation’s senior market analyst David Morrison noted, investors worry that semiconductor and AI-related stocks may struggle to sustain such high sales and margins in the future.
But the GPU segment has buffers that storage lacks. First, pricing power—Nvidia remains dominant in high-end AI accelerators, which gives it stronger profit protection during demand swings. Second, capital expenditure rigidity—major cloud providers continue to invest in AI infrastructure, making sharp near-term cuts unlikely. Additionally, from a valuation digestion perspective, leading GPU firms’ revenue growth (Nvidia at 85%+) still far outpaces storage vendors, meaning even if multiples compress, earnings growth offers some offset.
Overall, GPU/AI computing chips rank second in risk this earnings season. Risks stem mainly from valuation pressure and rising expectations, but fundamental resilience (pricing power, capex rigidity, revenue growth) provides stronger downside protection than storage.
Semiconductor Equipment: The Biggest Beneficiary of Capex Expansion, But Also the End Point for Sentiment Transmission
The semiconductor equipment sector wasn’t spared in this sell-off. The VanEck Semiconductor ETF fell nearly 4%, Tokyo Electron dropped over 8%, and Advantest plunged more than 10%. However, the medium-term logic for equipment differs fundamentally from the other two segments.
TSMC’s capex hike to $60–64 billion directly translates to equipment order demand. Citi’s research notes that the main investment strategy for chip stocks in 2026 is "not just a broad bullish view on semiconductors," but a focus on leading equipment names—ASML, Lam Research (LRCX), and Applied Materials (AMAT). Applied Materials’ CEO recently stated that visibility from major customers covers at least eight quarters, and expects equipment business to grow over 30% in 2026.
Risks for the equipment sector are more about sentiment transmission than fundamentals. Foundry capex decisions are typically based on 2–3 year capacity planning, offering strong visibility and rigidity. This means equipment orders are far more predictable than spot storage chip prices or end-user GPU demand. ING analysts raised ASML’s target price from €1,700 to €2,000 on July 16, reflecting institutional confidence in equipment leaders’ long-term prospects.
But risks remain. If downstream (cloud providers → chip design → foundry) capex contracts in a chain reaction, equipment orders—though delayed—can see larger adjustments. Also, equipment stocks have accumulated considerable valuation premiums during the prior rally, so short-term sentiment-driven sell-offs are a real risk.
Overall, semiconductor equipment ranks third in risk this earnings season. The core logic: high visibility in equipment orders and capex rigidity anchor fundamentals more strongly than the other two segments, but short-term sentiment transmission and valuation correction pressures persist.
Signals to Watch Going Forward
Based on the above analysis, the following signals merit close monitoring:
Signal 1: Capital Expenditure Guidance from Hyperscale Cloud Providers. This is the key variable for the storage sector. If Microsoft, Google, Amazon, and other major cloud players maintain or raise capex in the upcoming earnings season, it will strongly support storage demand. If they cut guidance, oversupply concerns will gain further validation.
Signal 2: Divergence Between Spot and Contract Prices for Storage. Trendforce estimates Q3 2026 DRAM contract prices will rise 13–18% quarter-over-quarter, and NAND contract prices will rise 10–15%. Watch whether spot prices keep pace with contract price increases, and whether high-contract vendors like SK Hynix can improve pricing terms in future negotiations.
Signal 3: Actual Progress in AI Commercialization. IDC’s 2027 timeline offers a reference framework. If revenue conversion at the AI application layer falls short of expectations, chip industry capacity expansion will face demand risks.
Signal 4: Changes in Semiconductor Sector Weighting and Capital Flows in the S&P 500. The current 20% weighting is at an extreme historical level. If this ratio starts to trend downward, it may signal a broader style rotation underway.
Conclusion
The essence of the chip stock "earnings curse" isn’t a deterioration in company fundamentals, but a self-fulfilling market pricing mechanism. When valuations are at historic highs and trading is extremely crowded, even better-than-expected results become an opportunity to lock in profits. While storage, GPU, and equipment all sit within the semiconductor supply chain, each has distinct risk structures and drivers: storage faces both high elasticity and fragility, ranking highest in risk; GPUs are under valuation pressure but retain fundamental resilience; equipment is anchored by capex rigidity, making risks relatively controllable, though short-term sentiment swings can’t be ignored.
For market participants, understanding this risk stratification may be more valuable than simply asking "have chip stocks peaked?"
FAQ
Q: What does the chip stock "earnings curse" mean?
It refers to the phenomenon where a company’s stock price drops after posting better-than-expected earnings. The logic is that the market has already priced in optimistic expectations, so when earnings are good but don’t exceed those lofty expectations, investors "buy the rumor, sell the news," triggering profit-taking. TSMC’s record earnings release on July 16, followed by a broad chip stock decline, is a classic example.
Q: What is the biggest risk facing the storage chip sector right now?
Threefold risk: First, high valuations and crowding—semiconductors now account for a historically extreme 20% of the S&P 500’s weight. Second, HBM contract pricing prevents some vendors from fully benefiting from spot price increases. Third, uncertainty in cloud provider capex guidance—if guidance is cut, oversupply worries will intensify.
Q: How do risks for GPU leaders like Nvidia differ from storage stocks?
GPU leaders mainly face risk from valuation pressure and ever-rising expectations, but their pricing power and rigid cloud provider capex offer stronger downside protection. Storage stocks face more direct questions about demand sustainability and more fragile trading structures. Thus, their risk rankings differ—storage is higher than GPU.
Q: Why is the risk relatively lower for the semiconductor equipment sector?
Equipment orders come directly from foundry capex plans, and foundry expansion decisions are based on 2–3 year capacity planning, offering high visibility. TSMC’s capex hike to $60–64 billion directly translates to equipment demand. Applied Materials’ CEO also noted that major customer visibility covers at least eight quarters.
Q: What are the most critical variables to watch for chip stocks going forward?
The most important variable is the upcoming capex guidance from hyperscale cloud providers (Microsoft, Google, Amazon, etc.). If guidance is maintained or raised, it will support demand across the chip supply chain; if cut, it could trigger broader valuation resets. Additionally, trends in spot vs. contract storage prices and the pace of AI commercialization are important reference points.
