Nvidia stock stalls as investors question AI spending

Nvidia’s stock has remained largely unchanged in recent months, rising only 1.7% since Q4 began, compared to the S&P 500’s 3.3% gain.

Despite strong fundamentals, investor sentiment has shifted away from mega-cap tech stocks amid concerns over AI spending and geopolitical risks.

Analysts expect Nvidia to beat Wall Street’s expectations but warn that the stock may not rise significantly unless the company provides a positive outlook. Nvidia’s valuation has decreased to less than 24 times forward earnings, near its lowest in five years.

Market watchers remain cautious, noting that investor confidence in AI’s growth.

🔗 Source: Bloomberg

🧠 Food for thought

Implications, context, and why it matters.

The market is pricing in the end of hypergrowth, not a business failure

Nvidia’s stock has been flat, yet Q3 revenue reached $57 billion, up 62% year over year 1.
The CEO said demand remains strong, adding that Blackwell chip sales are “off the charts” and cloud GPUs are “sold out” 2.
Investor caution ties to slower expansion plus worries about AI budgets and geopolitical risk. Nvidia’s growth is expected to cool from triple-digit rates to 25-40% 3.
That shift helps explain a valuation below 24 times forward earnings, near a five-year low, as the business moves to steadier growth.

AI’s biggest players are hedging their bets beyond Nvidia

Concerns about Nvidia’s market share have a basis. Large customers are spreading compute across more suppliers, meaning the data-center processing capacity used to train and run AI models.
Anthropic (an AI startup) uses Nvidia GPUs, Google TPUs (Google’s in-house AI accelerator chips), plus chips from Amazon 4.
Supply limits push this behavior. One analyst said AI labs “can’t access enough GPUs” and they hunt for alternatives wherever they can find them 4.
The result is a more split hardware market, especially for inference, which means running trained AI models. That market could reach $255 billion by 2030 5, which supports a tougher, more flexible supply chain across the AI industry.