AI Bubble Fears Trigger Global Semiconductor Selloff as SoftBank Plunges 40%

Global Market Correction Reflects AI Bubble Concerns

A wave of selling pressure has swept through global technology markets as investors increasingly question whether artificial intelligence investments have reached unsustainable levels. The selloff has been particularly pronounced in Asian semiconductor markets, with major indices experiencing sharp declines as concerns mount over the disconnect between AI spending and actual demand realization 1

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Bank of America's Global Fund Manager Survey revealed that 54% of respondents now believe AI-related assets are in bubble territory, while 60% consider global equities overvalued 1

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. This sentiment shift has triggered widespread reassessment of AI company valuations across multiple markets.

SoftBank Bears the Brunt of AI Skepticism

Japanese technology conglomerate SoftBank Group has emerged as a primary casualty of the growing AI skepticism. Between October 31 and November 26, the company's shares dropped 40%, resulting in a market capitalization loss of nearly $50 billion 1

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The decline accelerated following SoftBank's announcement on November 11 to sell its entire 32.1 million share stake in NVIDIA for $5.8 billion while deepening investments in OpenAI. Michael Ashley Schulman from Running Point Capital Advisors characterized this move as turning "a category leader into a messy, high beta roulette wheel," leading investors to mark down shares due to timing risk 1

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SoftBank's extensive AI portfolio, including investments in Arm, OpenAI, Perplexity, Databricks, and ByteDance, makes it particularly vulnerable to AI-related market fears. The company's strategic pivot has been met with skepticism from investors who question whether current AI valuations reflect long-term fundamentals or short-term enthusiasm.

Asian Semiconductor Markets Face Broad Selloff

The AI bubble concerns have reverberated strongly through Asian semiconductor markets, which serve as the backbone of global AI hardware manufacturing. On Friday, benchmark indexes in South Korea and Taiwan fell nearly 4%, with chip companies bearing the brunt of the selling pressure 2

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SK Hynix, a major supplier of high-bandwidth memory for AI training systems, plummeted more than 8%, while Taiwan Semiconductor Manufacturing Co. shed over 4% 2

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. In Japan, the Nikkei 225 declined 2%, with semiconductor equipment manufacturer Advantest falling more than 12% 2

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The selloff reflects investor concerns that technology companies' substantial spending on AI hardware, including semiconductors and data centers, may be outpacing actual demand. This spending has fueled a three-year rally in AI-related stocks, but investors are now questioning the sustainability of this trajectory 2

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Market Volatility Highlights Valuation Concerns

The recent market turbulence has been characterized by extreme volatility, exemplified by NVIDIA's performance following its earnings announcement. Despite reporting strong quarterly results, NVIDIA shares opened more than 5% higher but lost those gains by afternoon, ending the day down more than 3% 2

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This pattern reflects the broader challenge facing AI companies: strong operational performance is no longer sufficient to sustain meteoric valuations based on future potential. The market's reaction to Palantir Technologies serves as another example, with shares falling despite promising Q3 results, suggesting fundamental concerns over valuation multiples 1

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Investment management firm GMO's Ben Inker noted the speculative nature of current AI investments, observing that "frantic venture capitalists are throwing money at AI startups at multi-billion-dollar valuations without even being told their plans" 1

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. He highlighted how equity investors are increasing corporate valuations by hundreds of billions through investment deals with companies like OpenAI, whose revenues would need to rise a hundredfold to fulfill current commitments.

Structural Concerns Beyond Sentiment

The current market correction extends beyond mere sentiment shifts to encompass structural concerns about AI supply chains and competitive dynamics. Reports of memory chip buyers diversifying toward Chinese DRAM suppliers have raised questions about pricing power and demand concentration, adding a structural dimension to the selloff 3

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Additionally, competitive pressures are intensifying within the AI sector. Google's recent release of Gemini 3, which delivered standout results across coding, reasoning, and multimodal tasks, has generated excitement and prompted questions about OpenAI's continued dominance . This competitive dynamic adds another layer of uncertainty to AI investment valuations.

The semiconductor sector faces particular challenges as investors assess whether AI infrastructure spending can translate into earnings quickly enough to sustain current valuations. With rising inventories across the supply chain and concerns about revenue realization against aggressive capacity expansion, the industry confronts questions about near-term profitability despite long-term AI adoption prospects 3

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