The market capitalization of Nvidia in the recent precipitous drop has raised serious alarm as to whether an AI bubble is bursting and whether interest in this area is sustainable in the long term.  

A loss in market value of about $500 billion was witnessed in the firm during a span of a few days and this was the second sharpest decline in this year.

The fall was motivated by a combination of reasons such as valuation fatigue, and United States export bans on AI processing units to its Chinese destination and macroeconomic instability across the board.  

There is also a high market turnover that can be seen through the accelerated reduction of the stock value of Nvidia by over 10% in just a few days lowering its market capitalization from almost $5 trillion to about $4.47 trillion.  

These abrupt falls surprised investors who were accustomed to the rapid rise of Nvidia brought about by an increase in demand for artificial intelligence solutions.  

Export restrictions on the sale of flagship AI chip models like the H100 and Blackwell series to China eliminated about an estimated $8 billion of potential yearly revenue, which is devastating to the growth projections.  

Since China accounted for around 12.5% of the total revenue of Nvidia, and between 20-25% of data-center revenue, the business lost its market share in that jurisdiction of 95% to zero, adding to the concerns.  

CEO Jensen Huang emphasized awaiting policy changes to resume shipments to the Chinese market, underlining geopolitical risks influencing the stock downturn.

Adding to market volatility, Nvidia CEO Jensen Huang said that there were “no active discussions” about selling the company’s Blackwell chips in China. Huang said

“Currently, we’re not planning to ship anything to China. It’s up to China when they would like Nvidia products to go back to serve the Chinese market. I look forward to them changing their policy,”

This is the second largest intra-year decline ever experienced at Nvidia and it raises questions of the conviction over what could have been the liveliest technology run of the year. 

Researchers and market observers have blamed the depreciation on a combination of valuation exhaustion, export restrictions on major AI chip designs bound to China, and growing skepticism about the viability of hypergrowth in the face of macroeconomic instability in the world economy.

Valuation fatigue 

Michael Kraus, an analyst with RBC Capital has noted that equity of the company Nvidia seems to have reached a valuation where price-to-earnings is maximized, therefore, providing little oom to absorb ufavorable information or macro-shocks, which consequently results in great liquidation events.

Nvidia has been an over 1,200% gain since the artificial-intelligence mania began in the wake of the ChatGPT launch in late 2022, likely the result of both strong fundamental growth and speculation.

This kind of dynamics include increased speculative practices among individual investors and over inflated earnings projections that are not in line with the presented revenue growth trajectories.

On the other hand, Nvidia basic measurements are strong; the company reported fiscal-year 2025 revenues of $130.5 billion, a significant 114% year-on year increase that the company has been involved in AI hardware advancement and huge financial investments in next-generation AI supercomputing projects.

In addition, the cash flow is still active, and the long-term repose of strategic engagements and financial investments by institutional investors gives Nvidia confidence in its technology resources.

Valuing AI Sectors: Sustainable or Overheated?

Share-price pullbacks in the AI industry, and Nvidia specifically, have been within the range of 3 to 6%, with no indication of tailored AI-based valuations being only slightly cooler.

The current frenzy of AI stocks is often compared to the dot-com bubble of the late 1990s but sufficiently high-profile differences make the growth path of AI relatively sustainable.

In contrast to operating in the dot-com age where the majority of businesses were functioning with little physical revenue or profit rates were mostly speculative-based, the current AI industry shows best earning\s growth, higher technological progress, and actual revenue growth.

Nvidia is not alone in making substantial profits as the majority of leading AI companies have a real demand and acceptance of their products and the governments actively control and promote the development of AI, which helps stabilize the sector.

Looking Ahead

Despite the hurdles, Nvidia has stayed one of the world leaders in AI hardware. Nvidia’s recent market slide signals a cooling off of the AI-driven equity frenzy rather than a bursting bubble. The sharp loss of about $500 billion in market value within days is concerning including U.S. export restrictions on AI chips to China, valuation exhaustion, and macroeconomic instability shows investors are recalibrating expectations after Nvidia’s meteoric 700% rise since late 2022. 

Analysts see this more as a healthy market reset than the collapse of AI fundamentals, given Nvidia’s continued fiscal strength with $130.5 billion in 2025 revenue up 114% year-over-year and sustained demand for AI hardware innovation.

In summary, while Nvidia’s sharp correction highlights the risks from geopolitical headwinds and valuation fatigue, the AI market’s fundamentals and demand drivers indicate the bubble is not imminently bursting but undergoing a significant and necessary market re-pricing to more sustainable growth assumptions.

The next couple of years will be a decisive moment in whether Nvidia will be able to work around geopolitical misfortunes and maintain demand in a significantly neutralized macroenvironment.


Discover more from Being Shivam

Subscribe to get the latest posts sent to your email.