Nvidia just posted another quarter of blockbuster results—but you wouldn’t know it from the stock chart. Despite delivering record revenue, soaring profits, and guidance far above Wall Street forecasts, Nvidia shares have fallen sharply in the days following its latest earnings report.
The stock has dropped more than 8% since the announcement and now trades roughly 17% below its late-October peak. That surge had briefly pushed Nvidia past the $5 trillion mark, making it the world’s most valuable company during the height of AI euphoria. Since then, however, Nvidia has become one of the biggest casualties of rising fears that the AI boom may be overheating.
Why Investors Are Suddenly Cautious
For nearly three years, Nvidia’s earnings have served as a key indicator of global demand for artificial intelligence. Its recent selling pressure—despite exceptional financial performance—signals a shift in sentiment across Wall Street.
Some investors worry that hyperscalers such as Microsoft and Oracle may end up with too much data center capacity, along with significant debt, if AI adoption slows. Others believe that, even with strong demand, tech giants are spending inefficiently as they race to build AI infrastructure at all costs.
Nvidia’s strategy has also fueled bubble concerns. The company has invested in several of its customers, including OpenAI and CoreWeave, drawing comparisons to vendor-financed expansion during the late 1990s Dot-com Bubble.
Carmen Li, CEO of Silicon Data, noted that today’s environment doesn’t resemble the extreme leverage and speculation of 2008. However, she cautioned that pockets of “overbuild” and “mispriced expectations” do exist and deserve investor attention.
Fears of Rising Competition Intensify
Another factor dragging down Nvidia’s stock is uncertainty over its long-term dominance in the AI chip market. Shares slid an additional 6% after reports indicated that Meta is in advanced discussions to spend billions on Alphabet’s custom AI chips starting in 2027. Meta may even begin renting Google’s processors as early as next year.
This development underscores a broader trend: tech giants have been quietly working for years on developing in-house processors to reduce their dependence on Nvidia’s expensive GPUs. Google’s talks with Meta—and the strong performance of its latest AI model, Gemini 3—have raised investor confidence that these custom chip investments are beginning to pay off.
Nvidia responded publicly, congratulating Google on its achievements and emphasizing that its platform remains the only one capable of running every major AI model at scale.
A Market in Transition
Analysts at Citi now project that custom chips could capture 45% of the AI accelerator market by 2028, up from about 35% today. While Nvidia remains the undisputed leader in high-performance AI hardware, the landscape is rapidly evolving as major players seek greater control over their AI infrastructure and costs.
Nvidia’s financial performance is still exceptional—but the stock’s recent pullback highlights growing concerns about overspending, competitive threats, and whether the AI boom can continue its blistering pace.
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