US Stock Futures Mixed as AI Funding Worries and Semiconductor Sell-Off Deepen

Yahoo Finance ·

Stock futures showed a mixed performance on Thursday, pressured by mounting anxieties over artificial intelligence financing and an escalating worldwide sell-off in semiconductor equities. Dow Jones Industrial Average futures ticked up 0.2%, whereas S&P 500 futures retreated 1%. Nasdaq-100 contracts also dropped by more than 1%, extending previous session losses triggered by a hotter-than-expected inflation reading that fueled fears of Federal Reserve monetary tightening. The KOSPI index tumbled 7% overnight, and Taiwan Semiconductor Manufacturing Company was set for a lower open despite reporting record profits driven by AI chip demand. Meanwhile, Nvidia-backed CoreWeave suffered as debt and borrowing costs sparked concerns over its business scaling. In contrast, Apple shares advanced in premarket trading after reclaiming the $5 trillion valuation milestone. Brent crude futures declined to $104 per barrel.

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US stock futures traded mixed on Thursday amid deepening concerns over artificial intelligence financing and a global semiconductor sell-off. S&P 500 futures fell 1% and Nasdaq 100 futures dropped over 1%, driven by persistent Federal Reserve tightening fears following hot inflation data. Conversely, Apple re-surpassed a $5 trillion market cap, showing pre-market gains. Investors should focus on debt burdens related to AI infrastructure and the correction phase in the semiconductor sector.

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Fears of additional Fed tightening due to inflationary pressures, combined with excessive borrowing burdens of AI companies, are acting as downward pressure on the broader market. Funds are leaving high-valuation tech stocks, with TSMC facing downward pressure in sympathy with the global semiconductor sell-off despite strong earnings.

Going forward, volatility in semiconductor and AI-related stocks is expected to expand depending on inflation indicators and the Fed's rate path. Key indicators to watch are Treasury yields, major big tech companies' debt service capabilities, and AI investment efficiency.

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