Sou Hu Cai Jing·2025-12-15 09:52Group 1 - The core point of the article highlights a significant downturn in the U.S. stock market, particularly among tech giants, driven by a reassessment of AI commercialization prospects and various macroeconomic factors [1][10]. - Oracle's stock experienced a dramatic decline, losing nearly 11% on December 11 and an additional 4.5% on December 12, resulting in a market value loss of approximately $250 billion over two days [2][4]. - Broadcom, despite exceeding sales and profit expectations for Q4 and raising revenue forecasts, saw its stock plummet by 11.4% on December 12, leading to a market value drop of about $220 billion, fueled by concerns over AI business profitability [4][21]. Group 2 - The article discusses the low profit margins of AI businesses compared to non-AI operations, with significant returns from contracts with OpenAI not expected until after 2026 [6][8]. - The market's previous enthusiasm for AI investments overlooked the long-term nature of profitability in the tech sector, leading to a necessary valuation correction as optimistic expectations became more rational [8][23]. - The uncertainty surrounding U.S. Federal Reserve policies, including a recent interest rate cut, has contributed to market volatility, particularly affecting tech stocks sensitive to interest rates [12][14]. Group 3 - The signing of a federal executive order by Trump to unify AI regulations did not significantly impact market sentiment, as analysts believe state-level regulatory interests will persist, adding to the uncertainty in the AI sector [17][19]. - The Philadelphia Semiconductor Index fell by 5.1%, with major chip companies like AMD, NVIDIA, and Intel experiencing declines, reflecting a collective reassessment of the AI industry's profitability outlook [19][21]. - The downturn in tech stocks is viewed as a necessary phase in the maturation of the industry, where only companies capable of converting technology into stable profits will thrive amidst market fluctuations [26].