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Nvidia's stock wrapping up tough week as Wall Street focuses more on competition than growth
| USA | general | ✓ Verified - cnbc.com

Nvidia's stock wrapping up tough week as Wall Street focuses more on competition than growth

#Nvidia #OpenAI #Amazon Web Services #AMD #AI Chips #Stock Market #Competition #Meta

📌 Key Takeaways

  • Nvidia's stock fell 6% for the week and 16% for the year despite reporting blowout earnings.
  • OpenAI committed to using 2 gigawatts of Amazon's Trainium chips, while Meta is adopting AMD and Google processors.
  • Analysts predict Nvidia's growth rate will slow from 65% this fiscal year to roughly 13-14% in subsequent years.
  • Tech giants are diversifying their chip supplies to hedge against Nvidia's supply constraints and pricing power.

📖 Full Retelling

Nvidia shares tumbled this week on Wall Street, marking a 6% decline since Wednesday's earnings report, as investors pivoted their focus from the company's record-breaking revenue growth to rising competition and fears of a future slowdown in artificial intelligence spending. The significant sell-off occurred despite the semiconductor giant announcing better-than-expected forecasts and a 73% year-over-year revenue jump to $68 billion, triggered instead by announcements from major clients like OpenAI and Meta regarding their adoption of alternative chips from Amazon, AMD, and Google. This shift in market sentiment highlights growing concerns that capital expenditures among tech giants may soon peak, potentially causing Nvidia’s rapid expansion rates to decelerate dramatically in the coming quarters. Although CEO Jensen Huang proclaimed that "compute demand is skyrocketing," the market’s anxiety was fueled by specific strategic moves from key partners seeking to diversify their hardware supply chains. OpenAI, historically a heavy consumer of Nvidia GPUs, revealed it would utilize 2 gigawatts of Amazon Web Services' Trainium AI chip capacity as part of a massive $110 billion funding round that included a $50 billion investment from Amazon. Additionally, Meta disclosed plans to consume up to 6 gigawatts of AMD's Instinct GPUs and reportedly struck a multibillion-dollar deal to use Google's Tensor Processing Units. These decisions are viewed as strategic hedges designed to reduce reliance on Nvidia’s supply constraints and pricing power, signaling a competitive landscape that is becoming increasingly crowded. Despite these emerging competitive threats, Nvidia remains central to the AI infrastructure boom, with OpenAI confirming it will still use 5 gigawatts of computing power on Nvidia's next-generation Vera Rubin GPUs alongside existing hardware across CoreWeave, Microsoft, and Oracle clouds. However, analysts project a significant deceleration in growth, forecasting a drop from this fiscal year's expected 65% rate to roughly 30% next year, followed by further declines into the teens in subsequent years. While the stock is now down 16% for the year, some analysts at Jefferies view the recent pullback as a buying opportunity, suggesting that although the timeline is uncertain, a rotation back into AI names is inevitable as the stock becomes cheaper.

🏷️ Themes

Semiconductor Industry, Artificial Intelligence, Market Competition, Stock Market

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Deep Analysis

Why It Matters

This news is critical because Nvidia serves as a primary bellwether for the artificial intelligence sector, and its stock decline signals a potential shift in investor sentiment from unchecked growth to concerns about market saturation and competition. It affects major tech investors and companies relying on AI infrastructure, as diversification efforts by giants like OpenAI and Meta could erode Nvidia's pricing power and market dominance. Furthermore, the market reaction highlights growing anxiety that the massive capital expenditure cycle driving the AI boom may soon plateau, impacting the broader technology sector.

Context & Background

  • Nvidia has historically dominated the AI chip market with its H100 and upcoming Blackwell GPUs, capturing an estimated 80-90% market share in data center AI training.
  • The company experienced a massive surge in stock value over the last two years, driven largely by the generative AI boom and insatiable demand for high-performance computing.
  • Major tech companies like Google, Amazon, and Microsoft have been developing their own custom AI chips (ASICs) for years to reduce costs and improve energy efficiency.
  • Supply chain shortages of Nvidia GPUs have previously forced customers to wait months for hardware, incentivizing the development of alternative solutions from competitors like AMD.
  • CEO Jensen Huang has consistently argued that general demand for computing capacity will continue to outpace supply for the foreseeable future, dismissing fears of an imminent slowdown.

What Happens Next

Analysts expect Nvidia's revenue growth rate to decelerate significantly, dropping from approximately 65% this fiscal year to around 30% next year and potentially into the teens thereafter. Investors will likely monitor the rollout of Nvidia's next-generation "Vera Rubin" GPUs to see if they can maintain technological superiority against the growing ecosystem of custom chips from Amazon, Google, and AMD. Market volatility is expected to continue as Wall Street assesses whether the recent pullback represents a buying opportunity or a long-term trend of reduced AI capital expenditures.

Frequently Asked Questions

Why did Nvidia's stock fall despite beating revenue expectations?

Investors shifted their focus from current record-breaking growth to future risks, specifically rising competition from AMD and Amazon and fears that AI spending by tech giants may soon peak.

Which companies are challenging Nvidia's dominance?

Major competitors include AMD with their Instinct GPUs, Amazon with their Trainium chips, and Google with Tensor Processing Units, all of which are being adopted by clients like OpenAI and Meta.

What are analysts predicting for Nvidia's future growth?

Analysts forecast a significant deceleration in growth, projecting a drop from this fiscal year's 65% rate to roughly 30% next year, followed by further declines into the teens in subsequent years.

Is OpenAI completely stopping its use of Nvidia chips?

No, OpenAI confirmed it will still use 5 gigawatts of computing power on Nvidia's next-generation Vera Rubin GPUs, but it is diversifying its supply chain to include Amazon's chips to reduce reliance on a single vendor.

Original Source
In this article NVDA AMZN Follow your favorite stocks CREATE FREE ACCOUNT Nvidia CEO Jensen Huang speaks during a dinner event with the company's Taiwanese suppliers in Taipei, Taiwan, on Saturday, Jan. 31, 2026. Lam Yik Fei | Bloomberg | Getty Images Nvidia reported blowout earnings on Wednesday and issued a better-than-expected forecast showing accelerating growth. CEO Jensen Huang proclaimed that "compute demand is skyrocketing." Investor concerns appear to be elsewhere. The stock fell for a second straight day on Friday and is down 6% for the week in what would be its sharpest pullback since November. With the retreat, Nvidia's stock is now down for the year, joining the rest of tech's megacap companies. One broad concern in the market is that capital expenditures among the tech giants will soon peak, meaning Nvidia's growth rates are poised to slow dramatically in the coming quarters and years. Another issue for investors is competition — companies that buy large quantities of chips for AI have begun showing more interest in alternatives to Nvidia's graphics processing units . On Friday, OpenAI, which for years has relied heavily on Nvidia GPUs to train and run AI models, said it would consume 2 gigawatts' worth of Amazon Web Services' Trainium AI chip capacity. That announcement came as OpenAI closed a $110 billion funding round, with Amazon contributing $50 billion and Nvidia putting in $30 billion. "This is the single biggest validation of Amazon's custom AI silicon strategy to date, and it gives OpenAI a real hedge against Nvidia supply constraints and pricing power," Patrick Moorhead, CEO of Moor Insights and Strategy, wrote in a post on X. Last month OpenAI committed to adopting 750 megawatts in computing power from smaller AI chipmaker Cerebras. OpenAI is still using plenty of Nvidia. The company said on Friday that it will use 5 gigawatts of computing power on Nvidia's next-generation Vera Rubin GPUs. That's on top of existing Nvidia GPUs across the Cor...
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