“Will Nvidia’s AI Dominance Lead to Its Downfall?”

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Exploring Nvidia’s AI Dominance: Success and Potential Pitfalls

For over two years, the headlines on Wall Street have been dominated by the rise of artificial intelligence (AI). Giving software and systems the ability to reason and act autonomously suggests this technology has a virtually limitless long-term potential.

Analysts at PwC anticipate that AI solutions will significantly change the global economic landscape by 2030. According to their Sizing the Prize report, AI is projected to generate a $15.7 trillion boost to gross domestic product by the end of the decade.

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A person interacting with a large language model chatbot.

Image source: Getty Images.

With a $15.7 trillion market potential, numerous companies stand to benefit. Yet, no company is more directly profiting from the AI boom than Nvidia (NASDAQ: NVDA). Nvidia’s market valuation soared from around $360 billion at the end of 2022 to nearly $4 trillion temporarily just over two years later.

Despite its success, Nvidia may soon face challenges stemming from its own achievements.

Nvidia’s Growth: A Classic Case Study

Understanding how Nvidia became a cornerstone of the AI revolution is crucial before examining the potential risks it now faces.

The company’s growth is largely driven by its Hopper (H100) and Blackwell GPUs. The Hopper has become the predominant standard in AI-accelerated data centers over the past two years. Concurrently, the new Blackwell architecture offers significant enhancements for generative AI applications and quantum computing, while also being more energy-efficient compared to earlier models.

At this point, no other chipmakers have matched Nvidia’s overall capability in the AI space. While competitors may excel in certain areas, they have not posed a significant challenge to Hopper or Blackwell’s performance in AI-accelerated data centers.

Moreover, Nvidia has perfectly positioned itself to take advantage of AI-GPU scarcity. Despite efforts by leading chip manufacturer Taiwan Semiconductor Manufacturing to expand its chip-on-wafer-on-substrate capacity (CoWoS), the demand for AI-GPUs has vastly outstripped supply. Thus, Nvidia has been able to charge a price premium of 100% or more for its AI-GPUs compared to competitors.

Nvidia also benefits from its CUDA software platform, which allows developers to optimize GPU performance and build large language models. This toolkit has been key in retaining customers within Nvidia’s ecosystem.

Could Nvidia Become a Victim of Its Own Success?

While most Wall Street analysts agree that Nvidia’s stock is likely to rise, with an average target of $171 indicating a 50% upside, two scenarios may lead to declines in its stock price due to its runaway success.

First, while Nvidia’s AI-GPUs are superior in computational capabilities, the current imbalance of supply and demand could slow future upgrade cycles. For instance, when Apple launched the iPhone, users eagerly upgraded to the innovative device. Over time, subsequent releases have included upgrades that are less revolutionary compared to the original. The same could happen with Nvidia’s products, where the impetus to upgrade AI data center hardware might diminish, hurting projected growth rates.

An engineer examining wiring in a data center.

Image source: Getty Images.

The second challenge stems from potential market share erosion. According to an analysis by TechInsights, Nvidia controlled an impressive 98% of the GPUs shipped to enterprise data centers in 2022 and 2023. Despite Advanced Micro Devices ramping up production of its Instinct series AI chips, Nvidia remains dominant.

However, many top clients, especially among the “Magnificent Seven,” are developing their own AI-GPUs and AI solutions for internal use. Although these internally developed chips may not rival Hopper or Blackwell’s performance, the emergence of lower-cost, readily available alternatives could lead Nvidia to lose market share in data centers.

If upgrade cycles lengthen or if Nvidia’s top customers shift toward their own solutions, this could undermine Nvidia’s critical competitive advantage of AI-GPU scarcity. Such changes may diminish pricing power and compress margins moving forward.

Nvidia’s remarkable growth has positioned it precariously; any slowdown in growth or decline in gross margin from its peak of 78.4% could turn it into a casualty of its own remarkable success.

Seize This Timely Investment Opportunity

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  • Nvidia: an investment of $1,000 when we doubled down in 2009 would now be worth $284,402!*
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*Stock Advisor returns as of March 24, 2025

Sean Williams has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Advanced Micro Devices, Apple, Nvidia, and Taiwan Semiconductor Manufacturing. The Motley Fool has a disclosure policy.

The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.

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