计划每年砸1万亿日元! 频繁点错“科技树”的日本这次梭哈半导体和AI

Written byRodder Shi
Thursday, Nov 6, 2025 1:57 am ET2min read
Aime RobotAime Summary

- Global markets plunged in late October 2025 as AI sector overvaluation fears triggered sharp sell-offs, with tech stocks driving 80% of the Nasdaq and S&P 500 declines.

- Magnificent seven stocks lost 2%+ market value collectively, while

fell 8% amid Michael Burry's short position and CEO Alex Karp's public backlash against short-sellers.

- Tech giants deepened AI partnerships (Google/Anthropic, Amazon/Anthropic) while Microsoft/Nvidia prioritized OpenAI, highlighting strategic fragmentation in hardware and cloud ecosystems.

- Asian markets mirrored US declines (5%+ drops in Japan/South Korea), underscoring global interconnectedness as AI-driven capital reallocation reshapes industry priorities and regulatory scrutiny intensifies.

Global equity markets experienced significant turbulence in late October and early November 2025 as concerns over overvaluation in AI-related sectors triggered widespread sell-offs. The Nasdaq and S&P 500 indices recorded their largest one-day declines in nearly a month, with technology stocks accounting for over 80% of the downturn . This correction followed a period of record highs for many AI-linked firms, raising alarms among institutional investors about a potential bubble . The sell-off disproportionately affected the "magnificent seven" AI-related stocks, including , , , , Tesla, Alphabet, and Meta. These companies collectively lost over 2% of their market value in a single trading session . The data analytics firm saw an especially sharp decline, falling nearly 8% despite having raised its revenue outlook the previous day. This move followed a well-publicized short position by Michael Burry, the investor who gained fame for predicting the 2008 financial crisis. Burry’s bet against Palantir and Nvidia sparked public criticism from Palantir’s CEO Alex Karp, who accused short-sellers of undermining confidence in the AI revolution . While market volatility highlighted risks in the AI sector, major tech firms continued to deepen strategic partnerships. Google announced a multi-billion-dollar cloud computing deal with Anthropic in October, granting the AI company access to up to one million of Google’s custom-designed Tensor Processing Units (TPUs) . This collaboration follows Amazon’s $14 billion investment in Anthropic, which relies on AWS infrastructure for its Claude AI models. Conversely, Microsoft and Nvidia have prioritized OpenAI through substantial financial commitments, creating a clear divide in the AI ecosystem . Anthropic’s reliance on multiple chipmakers—including NVIDIA GPUs—underscores the sector’s dependence on diverse hardware solutions . The contrasting strategies of tech giants reflect broader market dynamics. While OpenAI’s leadership has delayed discussions about an initial public offering (IPO), the company’s chief financial officer emphasized the need for government support in data-center investments . Meanwhile, CoreWeave CEO Michael Intrator defended AI spending as economically beneficial, arguing that multitrillion-dollar investments justify long-term gains if they accelerate productivity . These divergent perspectives highlight the tension between rapid innovation and financial sustainability in the AI space. Market participants also observed ripple effects across other industries. Qualcomm reported a $3.12 billion quarterly loss due to tax charges, despite a 10% revenue increase, while DoorDash announced plans to scale back profitability expectations for its Deliveroo acquisition . These developments suggest that AI-driven spending is reshaping capital allocation priorities across sectors. The interplay between AI sector optimism and market caution has global implications. Asian markets mirrored US declines, with indices in Japan and South Korea dropping over 5% in a single session . This cross-border volatility underscores the interconnectedness of global financial systems with US-led tech trends. As major players like Google and Amazon expand their AI partnerships, the sector’s influence on capital flows and regulatory frameworks is likely to intensify .

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