Nvidia's $500 billion AI financing deal: So why did the share price drop?
Published on HivePostify by @mirzaiqi · Tue Aug 11 2026
Hello everyone, I hope everyone is well. Today's topic of discussion is quite important from both the technology and stock market perspectives. As global investment in Artificial Intelligence or AI increases, Nvidia has become one of the most important companies in this entire ecosystem. https://img.leopedia.io/DQmYF7BwoWhvP7yUXpuR6KxxZdxCYAUrHCHdmoW2FKzXiNn/1786407473775.png
But one thing created quite a curiosity in the market on August 10. Even after the news of creating a huge AI financing package of about $500 billion surrounding Nvidia came to light, the company's share price fell by more than 2%.
The question is - such a large investment news is usually supposed to be positive, so why is the market reaction negative?
What is the $500 billion plan really?
According to the report, large financial institutions like Apollo Global Management, Blackstone, Global Infrastructure Partners, Brookfield Asset Management, Goldman Sachs and KKR may join this financing plan around Nvidia.
This money is mainly supposed to be used to build AI data centers, power infrastructure and AI chip infrastructure. Even as demand for AI computing grows rapidly, sufficient power and infrastructure to run data centers has become a major challenge.
So the issue is not just related to Nvidia's chip sales. Rather, it has to do with financing the entire chain of AI infrastructure.
So why did Nvidia's stock fall?
The most important thing for me is where the money flow is coming from and where it is ultimately going.
Nvidia is already investing in various companies and infrastructure projects in the AI ecosystem. The company also issued about $25 billion in bonds in June. In addition, news of Nvidia's investments in power infrastructure and AI-related companies has also come to the fore.
This is where a section of the market is raising questions.
If Nvidia helps finance an AI company or infrastructure provider, and that company later buys Nvidia's GPUs or other technology, then part of Nvidia's investment could return to Nvidia as revenue. https://img.leopedia.io/DQmZuVFtQWrVxLBxNxjTJe8JxE3Lxgiq2iGHSwFtq9S79JY/1786407510484.png
Critics see such a system as circular financing.
Of course, this does not mean that Nvidia's business is artificial or fake. But the important question for investors is—how much of the real end-user demand for AI chips is affected by Nvidia's own financing and how much of that demand is affected by Nvidia's own financing?
Why is old history being discussed again?
Many are comparing the current situation to the telecom boom of the 1990s. At that time, some large telecom equipment companies helped finance their customers. As a result, equipment orders were seen to increase rapidly.
But after the dot-com bubble burst, the weaknesses of those financing structures came to the fore.
It would not be right to say that the current AI market is in exactly the same situation. The demand for real-world applications of AI, cloud computing and machine learning is now much higher. Nevertheless, past events warn investors.
Nvidia still has a strong case
Despite the share price decline, Nvidia's bullish story is not completely over.
A large portion of Wall Street analysts are still positive about the company. According to the published TipRanks data, 36 out of 37 analysts have given a Buy rating and one Hold rating. Their average price target is around $308.69.
There is also no denying the real demand for AI infrastructure. Big tech companies and AI developers are spending huge amounts of money on data centers, computing power, and advanced GPUs.
That is, the opportunity ahead of Nvidia is still very large.
Where is the real test now?
In my opinion, the next earnings report will be one of the most important things.
Investors will not only look at the revenue in Nvidia's next quarterly earnings. They will also want to know—
- How organic is the demand for AI chips?
- To what extent is Nvidia combining customer demand with its own financing?
- How sustainable is data center spending?
- Will the new AI infrastructure generate real cash flow in the future?
The answers to these questions can be important in understanding Nvidia's valuation.
The bottom line
The $500 billion financing plan certainly highlights the sheer size of the AI industry. But large investments don’t always immediately signal a bullish signal for stocks.
The market is now looking beyond “how much money is being invested in AI.” Rather, it’s more about where that money is coming from, who it’s going to, and how much actual revenue and cash flow it’s ultimately generating.
In my view, Nvidia still has a huge opportunity to capitalize on the AI revolution. But it’s also natural for investors to question the company’s financing strategy and the true strength of customer demand.
Ultimately, the true value of this $500 billion plan will be understood after the fine print and Nvidia’s next financial results are released. Only then will it become clearer—how much of the AI boom is based on real business growth and how much on aggressive financial engineering.
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