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英伟达财报也救不了美股科技股
第一财经· 2025-11-24 13:43
Core Viewpoint - The article discusses the mixed market reactions following Nvidia's earnings report, highlighting ongoing concerns about the sustainability of AI investments and the broader implications for the tech sector [3][4][5]. Group 1: Nvidia's Earnings Report - Nvidia's earnings report showed a significant year-on-year revenue growth of 65%, marking a return to acceleration for the first time in two years, with data center revenue increasing by 66% [4]. - The company's fourth-quarter guidance exceeded market expectations, projecting approximately $65 billion, surpassing the consensus estimate of $62 billion [4]. - Despite the strong earnings, the market remains concerned about the potential for an "AI bubble," leading to a sell-off in tech stocks rather than a rebound [4][5]. Group 2: Market Sentiment and Investment Trends - Institutional investors have been selling off tech stocks, with funds flowing into more defensive sectors, particularly healthcare, indicating a lack of confidence in the tech industry's future [3][4]. - Concerns about the sustainability of cash flows in the face of aggressive capital expenditures by AI giants have emerged, with examples like Oracle and Meta increasing their leverage to maintain investment levels [5][6]. - The market is increasingly wary of the "burn rate" of capital in the tech sector, with significant doubts about whether the current investment strategies can yield sustainable returns [5][6]. Group 3: Macroeconomic Factors - The probability of interest rate cuts by the Federal Reserve has decreased significantly, which poses a threat to growth stocks sensitive to interest rates [9][10]. - Recent employment data showed mixed signals, complicating the Fed's decision-making process regarding interest rates, with a notable increase in job creation but a rise in the unemployment rate to 4.4% [9]. - Concerns about inflation persist, with potential implications for government debt issuance and the overall economic outlook, particularly if AI-driven productivity gains do not materialize as expected [10].