#人工智能热潮消退科技股爆跌 $BTC $ETH $BNB Eastern Standard Time, December 12, US stocks related to AI technology experienced a collective plunge, with the Nasdaq dropping 1.69%, hitting a two-week low, and the Philadelphia Semiconductor Index plummeting 5.1%. This plunge was due to negative news from AI companies combined with hawkish signals from the Federal Reserve, marking a rational correction in the market regarding the AI craze. The specific situation is as follows:
1. Core stocks in a downward trend: Broadcom was hit hard in this plunge, closing down 11.4%, with a market value evaporating by about 230 billion USD. Although it estimated that next quarter's AI business revenue would double, the backlog of orders did not meet market expectations, and it also warned that AI business would shrink profit margins by 1 percentage point. Oracle continued to fall 4.8% on December 12 after a more than 10% drop on the previous trading day, as its financial report showed revenue and cloud business income fell short of expectations. There were also reports of delays in building data centers for OpenAI, which were urgently refuted but still could not halt the stock price decline. In addition, AMD fell 4.8%, NVIDIA dropped 3.3%, and SanDisk plummeted 14.6%, while AI infrastructure companies like CoreWeave also saw declines exceeding 5%.
2. Multiple drivers behind the drop: On one hand, there is the exposure of risks inherent in the AI sector; the market previously had overly high valuations and performance expectations for AI companies, and the issues with orders, revenue, or project progress from Broadcom and Oracle punctured some valuation bubbles, triggering collective concerns among investors about the return on AI investments. On the other hand, there is the negative impact of macroeconomic policies; several Federal Reserve officials have released hawkish signals, emphasizing the maintenance of a restrictive monetary policy, which has driven US Treasury yields higher. High-valuation tech stocks are sensitive to interest rates, leading funds to flee from the tech sector to defensive sectors like consumer staples to avoid risks. Additionally, institutions have pressure to take profits at year-end, coupled with the fact that US stocks had just hit a closing high, creating inherent demand for adjustment in the market. Under the resonance of multiple factors, this selling wave was triggered.
However, a short-term plunge does not mean the long-term logic of AI is collapsing. Currently, leading AI companies have formed a clear profit loop, and the underlying logic of AI computing power demand remains unchanged. This correction seems more like a 'wake-up call' for the AI sector. In the future, risks for concept stocks lacking performance support will continue to increase, while companies with core technologies and commercialization capabilities still hold long-term opportunities.
