
Nvidia, AMD, TSMC, Micron, and other semiconductor stocks fell sharply in premarket trading after weakness in Japan's tech sector and the announcement of Kimi K3, a 2.8 trillion-parameter open-weight AI model from Alibaba-backed Moonshot AI. The selloff reflects investor concern that growing competition from Chinese AI developers, combined with regional tech headwinds, may pressure chip demand and valuations even as major foundries like TSMC report solid earnings.
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Semiconductor and AI stocks declined sharply in premarket U.S. trading—Nvidia fell about 2%, AMD and Cerebras each lost around 3%, Micron slipped nearly 2%, and TSMC dropped nearly 4%. The move followed weakness in Japan's tech sector, where the Nikkei 225 dropped 4.03% (its steepest weekly decline since April 2025) and memory maker Kioxia fell nearly 16%. Separately, Alibaba-backed Moonshot AI introduced Kimi K3, a 2.8 trillion-parameter open-weight AI model.
Why it matters
Moonshot AI's launch signals intensifying competition from Chinese developers in the race to build frontier AI systems. The timing—combined with a broad selloff in Japanese semiconductor stocks—suggests investor concern that competition and regional tech weakness may pressure margins and demand for the chips that power AI inference and training. The moves came despite TSMC reporting stronger-than-expected quarterly results the day before, indicating sentiment shifted on competitive rather than fundamental grounds.
What to watch
Whether Chinese open-weight models narrow the capability gap with U.S. systems and how that shapes semiconductor demand forecasts. The sharp moves in memory stocks (Kioxia, Micron) and foundry players (TSMC) suggest investors are recalibrating their outlook for AI-driven chip sales growth.
Semiconductor and artificial intelligence stocks traded sharply lower in U.S. premarket trading Friday as two headwinds converged: sharp weakness across Japan's technology sector and the announcement of a powerful new AI model from a Chinese developer. Japan's benchmark Nikkei 225 index dropped 4.03%, marking its steepest weekly decline since April 2025, while the broader Topix index fell 2.72%. Memory and semiconductor makers led the decline, with Kioxia falling nearly 16%, Tokyo Electron dropping about 8%, and Advantest sliding roughly 7%.
In the United States, the contagion spread to major chip and AI-related names. Nvidia fell about 2% in premarket trading, Advanced Micro Devices and Cerebras each declined around 3%, and Micron Technology slipped nearly 2%. Storage companies Western Digital and Seagate Technology also declined about 3% each. Taiwan Semiconductor Manufacturing (TSMC) dropped nearly 4% despite the fact that the company had reported stronger-than-expected quarterly results a day earlier, suggesting that investor sentiment had shifted away from individual company performance toward broader competitive and macroeconomic concerns.
The timing of the selloff coincided with a significant announcement from Moonshot AI, an Alibaba-backed developer. The company introduced Kimi K3, which it described as a 2.8 trillion-parameter open-weight AI model designed to compete with leading U.S. systems. The launch underscores the trajectory of Chinese AI development and raises investor questions about the long-term demand environment for semiconductor companies that have benefited from the AI boom. The combination of regional tech weakness in Japan and fresh evidence of competitive pressure from overseas appears to have prompted a reassessment of growth expectations for the semiconductor industry.
The sharp decline across semiconductor and AI-related stocks reflects a collision of two pressures: domestic weakness in Japan's technology sector and renewed concerns about competition from Chinese AI developers. Japan's Nikkei 225 posted its worst weekly performance since April 2025, with memory makers like Kioxia suffering the steepest losses (nearly 16%), signaling broad selloff pressure in the region. Simultaneously, Moonshot AI's introduction of Kimi K3—a 2.8 trillion-parameter open-weight model—underscores the accelerating pace at which Chinese developers are closing the capability gap with U.S. systems, a dynamic that investors appear to view as a headwind to semiconductor demand growth.
The timing is particularly notable because TSMC had reported stronger-than-expected quarterly results just a day earlier, yet the stock still fell nearly 4% in premarket trading. This disconnect suggests that sentiment has shifted from fundamentals to competitive positioning and macro risk, with investors reassessing how sustained competition and regional tech weakness will affect the AI semiconductor cycle. The broad nature of the selloff—hitting memory suppliers, chip designers, and foundries alike—indicates a systemic repricing of expectations around demand for AI infrastructure rather than company-specific weakness.
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