Nvidia Stock Swings Wildly After Earnings as Wall Street Splits on AI Chip Valuations

NVIDIA's latest quarterly earnings arrived as scheduled, but the market reaction was far from jubilant. Following the report, the stock experienced violent swings in after-hours trading, plunging sharply at one point before quickly recovering, ultimately closing with a marginal change. This turbulence reflects deep-seated Wall Street disagreements over the valuation outlook for AI compute stocks—optimists see sustained explosive demand, while pessimists worry that the growth curve is approaching an inflection point.

Strong Numbers, But Guidance Sparks Speculation

From the disclosed financial data, NVIDIA's quarterly revenue and profit both exceeded market expectations, with the data center business remaining the core engine, maintaining high year-over-year growth. However, the market's focus was not on the past but the future—the company's revenue guidance for the next quarter, while above the average analyst estimate, did not reach the most optimistic forecasts. This subtle gap of "beating expectations but not beating them enough" served as the trigger for the stock's volatility.

According to the earnings call, management emphasized that AI compute demand remains in a "supply shortage" state and revealed that production capacity for next-generation chips is ramping up faster. But simultaneously, some investors began to question: with major cloud vendors' capital expenditure growth slowing, and competitors (such as AMD and custom chips) catching up, can NVIDIA maintain its current high growth trajectory?

Wall Street Divergence: Upgrades and Downgrades Coexist

Following the earnings release, several investment banks quickly updated their ratings and price targets for NVIDIA. According to public research reports, some institutions raised their price targets to higher levels, citing that the AI infrastructure investment cycle is far from over and that NVIDIA's software ecosystem (like CUDA) forms an insurmountable moat. However, others—rarely—downgraded the stock, arguing that current valuations already reflect years of future growth, and any marginal slowdown could trigger a valuation contraction.

This divergence is even more pronounced in the options market—implied volatility spiked after earnings, and put option volumes increased significantly, indicating some funds are hedging against downside risks. Notably, NVIDIA's price-to-earnings ratio (TTM) remains at historical highs, and even based on next twelve months' earnings estimates, it is significantly above the semiconductor industry average.

Valuation Pressure Transmits Across AI Compute Stocks

NVIDIA's volatility is not an isolated event. As a bellwether for the AI compute supply chain, its stock movements quickly transmitted to other related names: TSMC (TSM), AMD, Broadcom (AVGO), and server maker Super Micro Computer (SMCI) all experienced declines of varying degrees after the earnings report. The market is beginning to reassess the valuation logic of the entire AI sector—if NVIDIA cannot satisfy all investors, do second-tier companies reliant on AI narratives face even greater pullback risks?

According to industry analysis, current valuations of AI compute stocks already factor in high growth expectations for the next two to three years. Whether actual demand can sustain this depends on the commercialization progress of large language models, corporate IT spending intentions, and the macro interest rate environment. If the Federal Reserve's pace of rate cuts falls short of expectations, high-valuation growth stocks will face greater pressure.

Long-Term Thesis Intact, But Short-Term Volatility Intensifies

Despite the growing divergence, most long-term investors still believe AI compute demand has structural support. According to forecasts from firms like IDC, the global AI server market will maintain double-digit growth for years to come, and NVIDIA, as the absolute dominant player in the GPU market, remains the most direct beneficiary. However, in the short term, sharp stock price swings may become the norm—especially during earnings season, where any rumors of order cancellations, customer concentration, or supply chain risks can trigger violent reactions.

For ordinary investors, NVIDIA's case serves as a reminder: trading high-growth stocks around earnings is extremely difficult, and speculation based on sentiment and short-term guidance is often fraught with risk. A more prudent strategy might be to focus on long-term industry trends rather than chasing every minor fluctuation in quarterly data.