NVIDIA and Wall Street Forge a $500 Billion Alliance... AI Competition Turns Into a Financial War

[Financial News, New York = Lee Byung-chul] NVIDIA is joining forces with Wall Street giants including Apollo Global Management, Blackstone, BlackRock and Goldman Sachs to raise $500 billion for artificial intelligence infrastructure. The AI race is expanding beyond semiconductors and model development into a financial war over who can secure the enormous capital needed to build data centers and power grids.
Major U.S. media outlets reported on the 10th, local time, that Apollo Global Management, Blackstone, BlackRock, Brookfield Asset Management, Goldman Sachs and KKR are forming a consortium with NVIDIA to invest in AI infrastructure. The Financial Times first broke the story.
The total financing package is expected to reach $500 billion. It would be one of the largest AI-related financial projects Wall Street has ever pursued.
The project shows that NVIDIA is expanding its business beyond being a simple supplier of AI semiconductors and into a role that also connects the financing of the AI industry.
With a market capitalization of $5.25 trillion, NVIDIA currently supplies not only the graphics processing units, or GPUs, needed for AI data centers, but also related infrastructure and software. NVIDIA’s GPUs are the key chips powering advanced models at OpenAI and other major U.S. AI companies.
The challenge is the cost of building AI infrastructure. As competition over model performance intensifies, companies must expand not only GPU capacity but also the data centers and power facilities needed to run them. In particular, semiconductors such as GPUs account for the largest share of the cost of new AI computing infrastructure.
Accordingly, NVIDIA has recently expanded financial support to help customers secure the funding they need. The company backs AI firms in raising capital from the market, and those firms then use the money to buy NVIDIA GPUs.
However, concerns are also growing over so-called circular financing. If NVIDIA helps customers raise funds and that money is then used to buy NVIDIA products, the growth of the AI industry and NVIDIA’s revenue could become mutually dependent. Critics say that if AI investments fail to generate the expected returns, the risks could spread at the same time to NVIDIA, financial firms and AI companies.
Separately, NVIDIA is also said to be discussing a plan to provide large payment guarantees for a 10-gigawatt data center project in Ohio that OpenAI is expected to lease.
The alliance between NVIDIA and global financial firms shows that AI infrastructure investment has grown too large for traditional tech companies to fund on their own. Major Big Tech firms such as Meta Platforms, Oracle Corporation, Microsoft, Alphabet Inc. and Amazon are aggressively expanding spending on data centers and semiconductors to secure leadership in AI.
Morgan Stanley projected that AI infrastructure investment by so-called hyperscalers will reach $3.5 trillion from 2026 through 2028.
The funding needed for the overall AI infrastructure market is far larger than that. In a recent earnings call, Apollo President Jim Zelter said, "The scale of AI infrastructure buildout is unprecedented," and added, "We expect more than $8 trillion in capital to be invested." He described it as "an enormous amount of money" and emphasized that a huge opportunity is opening up for private capital, not just public markets, to help finance it.
In fact, as competition for AI investment intensifies, technology companies are using every possible financing tool. They are tapping equity issuance, investment-grade corporate bonds, high-yield debt, securitized debt, private credit and project finance to secure AI funding.
The private equity industry is also moving quickly. In recent years, Apollo and Blackstone have repeatedly structured large infrastructure financing deals to help AI companies such as Anthropic secure funding for semiconductor and data center investments.
The biggest beneficiary of the AI investment boom is NVIDIA. Demand for its latest AI semiconductors far exceeds supply, and the company’s market value has risen roughly 15-fold since the end of 2022, shortly after ChatGPT emerged.



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