Nvidia’s Stellar Earnings Fail to Stop the Tech Rout, What Signal Has Been Sent?

美股的人工智能(AI)热潮是泡沫吗?
Published on: Nov 21, 2025
Author: Caroline Kong

In the past week, the U.S. stock market experienced some of its most volatile trading days of the year. Despite AI leader Nvidia (NVDA) delivering a stellar earnings report, it failed to rekindle buying enthusiasm for tech stocks and instead triggered broader market concerns. This “sell-on-good-news” trend indicates that, under the dual pressures of Federal Reserve policy uncertainty and worries over overheated AI investment, the market is reassessing future growth paths.

The core contradiction in this week’s market lies in the stark contrast between strong individual company performance and weak sector performance. Nvidia’s third-quarter revenue reached $57 billion, with data center sales growing 66% year-over-year. This report, which would be considered exceptional in any period, instead became a catalyst for investors to sell tech stocks. The subsequent decline in AI-concept stocks like Broadcom (AVGO), Palantir (PLTR), and Oracle indicates deep-seated doubts about the sustainability of AI business models.

Two key concerns underlie this phenomenon: First, tech companies are increasingly turning to credit markets to sustain AI investments, shifting away from the previously stable model primarily reliant on cash flow. This increases interest rate sensitivity and financial risk. Second, power constraints may force a slowdown in AI spending, directly impacting the prospects of “picks and shovels” suppliers like Nvidia.

Beyond the shaken faith in AI, uncertainty around the Federal Reserve’s policy path has become the second major factor unsettling markets. On the eve of the December FOMC meeting, Fed officials are deeply divided on interest rate policy—doves are focusing on signs of a cooling labor market, while hawks remain vigilant about resurgent inflation risks. This divergence finds support in the latest September jobs report: job additions exceeded expectations, but the unemployment rate rose to a four-year high.

Interest rate futures markets reacted with sharp volatility. Expectations for a December rate cut, considered almost certain a month ago, briefly fell below 40%, only to rebound to 70% following dovish comments from some Fed officials. Such extreme swings have left short-term trading dominated by sentiment and technical factors, with the Volatility Index (VIX) surging to its highest level since April.

Three Potential Paths for Future Market Development

Looking ahead, investors can anticipate developments in several directions: first, earnings drivers will replace valuation expansion. Barclays analysts note that the biggest risk for tech stocks and the broader market is not a sudden collapse in valuations, but earnings beginning to disappoint. After three years of strong profit growth in the tech sector, any signs of slowdown could trigger capital outflows. The continuation of the market trend will increasingly depend on solid performance delivery.

Second, a shift in Fed policy could become a decisive variable. If the December meeting signals a clear intent to cut rates, it would inject new liquidity for corporate financing and AI investment, potentially revitalizing tech stocks. Conversely, maintaining current interest rates will prolong the market’s period of uncertainty.

Third, the market may see a new round of sector rotation. Wedbush analysts believe we are currently in the third year of the “AI revolution,” with a seven-year development cycle still ahead. Short-term adjustments may present opportunities for long-term investors to position themselves, but market leadership may shift from pure concept speculation to AI application companies with actual profit capabilities.

Investment Insight: Maintaining Strategic Composure Amid Volatility

Historical experience shows the AI sector has undergone similar adjustments multiple times. The tech stock decline in July 2024 due to AI overinvestment concerns, and the volatility sparked by DeepSeek’s emergence in January 2025, both ultimately reversed as earnings materialized. The current market is in a typical “information vacuum,” exacerbated by data gaps left by the government shutdown.

For investors, this is a time to focus more on corporate fundamentals than short-term price fluctuations. Within the broader trend of the AI revolution, companies with technological barriers and commercialization capabilities are likely to emerge stronger after this shakeout. What the market needs is not panic, but maintaining clarity amidst euphoria and identifying the true winners during adjustments.

 

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