NVIDIA Corporation

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NVIDIA Corporation stock analysis NVDA overview
Somewhat Bearish -25

Nvidia used to benefit from AI spending increases. So why did the stock just slide?

📉 Nvidia's shares fell 4.6% on Thursday despite positive earnings signals from major tech clients.

💻 Investors are increasingly concerned about rising competition in the AI-chip market.

🧮 Major cloud companies like Google and Amazon are advancing their custom AI processors, such as TPUs and Trainium.

🔮 Morningstar analyst Brian Colello warns that these new chips could crowd out Nvidia's opportunities beyond 2027.

⚖️ While competitors AMD and Broadcom saw stock gains of 5.2% and 3%, Nvidia declined significantly.

📡 Qualcomm teased a custom chip deal with a hyperscaler, which some investors interpret as further competition despite analyst skepticism.

🤖 The use of Huawei's Ascend 950 chips by DeepSeek for its V4 model is seen as another factor weighing on Nvidia.

💰 Analyst Ivan Feinseth maintains that robust data-center demand still supports long-term growth for Nvidia.

🏢 Big tech giants including Alphabet, Meta, and Microsoft are increasing their capital-expenditure budgets for AI infrastructure.

📅 The article was published on April 30, 2026, reflecting recent market reactions to earnings reports.

Bullish Signals
  • Nvidia remains the biggest player in the market for AI chips as big cloud companies continue to ramp spending on AI processors.
  • Analysts note that robust data-center demand persists and benefits from increasing capital-expenditure budgets mentioned by Alphabet, Meta, and Microsoft.
  • Despite competition, there is still plenty of room for Nvidia to cash in on the growing artificial intelligence industry.
Risk Factors
  • Nvidia stock fell 4.6% despite positive earnings data from big tech clients, indicating investor concern over market saturation and competition.
  • Analysts warn that Google's Tensor Processing Units (TPUs) and Amazon's custom Trainium chips could crowd out Nvidia's opportunities beyond 2027 if rivals are successful in deployment.
  • Competitors AMD and Broadcom rose 5.2% and 3% respectively as Nvidia shares declined, highlighting shifting investor sentiment toward alternative AI chip makers.
  • Rumors of a Qualcomm custom chip engagement with a hyperscaler later this year may be misinterpreted by the market as another significant threat to Nvidia's dominance.
  • Recent news that DeepSeek adopted Huawei's Ascend 950 chips for its V4 model is identified as a factor weighing on investor confidence in Nvidia's monopoly position.
Full Analysis
Nvidia (NVDA) shares fell 4.6% on Thursday, marking a downturn for the company despite favorable fundamentals such as continued AI spending increases by major cloud providers. The decline reflects investor anxiety regarding potential increased competition in the AI-chip market, with Morningstar analyst Brian Colello noting concerns that Google's tensor processing units (TPUs) and Amazon's custom Trainium chips could crowd out Nvidia's opportunities beyond 2027 if these hyperscalers successfully deploy them at scale. This sentiment was highlighted as Advanced Micro Devices (AMD) and Broadcom (AVGO), the latter partnering with Google on TPUs, saw their shares rise by 5.2% and 3% respectively during the same period. MarketWatch's Seaport Research analyst Jay Goldberg suggested investors may be misinterpreting a Qualcomm (QCOM) announcement teasing a custom chip engagement with a hyperscaler later this year as an immediate threat from a new competitor, whereas he views it as progress in the broader landscape of Nvidia alternatives. He also pointed to recent developments as weighing on Nvidia's stock, including DeepSeek switching to use Huawei's Ascend 950 AI chips for its V4 artificial intelligence model and the potential impact of a $700 billion spending commitment by Big Tech on AI, which some critics have termed "the greatest capital misallocation in history." Despite the negative momentum, there remains support from bullish analysts like Tigress Financial Partners' Ivan Feinseth, who argues that Nvidia still has significant room to capitalize on robust data-center demand and the increasing capital-expenditure budgets of Alphabet, Meta, and Microsoft. The divergence in market sentiment underscores a complex landscape where Nvidia's dominant market position is being tested by both traditional rivals like AMD and emerging competitors from tech giants seeking vertical integration with their own custom silicon solutions.