Nvidia's $750 Billion in Deals Reignite Circular AI Fears
**The chip giant is accelerating a new round of AI infrastructure deals worth more than $750 billion, deepening its role as supplier, investor, and financier. Critics warn this "circular financing" risks inflating AI demand artificially—and the entire industry is now exposed to systemic risk.**
---
## Introduction: The "Semiconductor" That's Also a Bank
When Nvidia was just a chipmaker, its business model was simple: design the best GPUs, sell them for a premium, and watch the profits roll in. Today, the company is no longer just the engine of the AI revolution—it's become the banker, the guarantor, and the ecosystem architect all at once.
On July 26, 2026, Bloomberg reported that Nvidia is working on a fresh round of AI infrastructure deals potentially worth more than $750 billion . This includes a $500 billion partnership with South Korea's SK Group and discussions to provide up to $250 billion in guarantees to help OpenAI lease computing power from a massive U.S. data center project .
The scale is staggering. The transactions are deepening Nvidia's grip on the AI supply chain, but they're also reigniting fears of "circular financing"—a practice where Nvidia invests in or finances customers, and those customers spend the money buying Nvidia chips .
**The central question for investors:** Is Nvidia funding genuine AI demand, or is it artificially inflating the market for its own chips? And if the AI spending spree slows, will the industry's interconnected debt create a financial crisis that rivals the dot-com bust?
---
## The Deals That Have Investors Worried
### The SK Group Partnership: A $500 Billion Bet on Korean AI
Nvidia and SK Group, the parent company of memory chipmaker SK Hynix, announced an AI cooperation agreement worth more than $500 billion . The deal includes Nvidia's procurement of memory chips from SK Hynix and SK Group's purchase of Nvidia supercomputers. CEO Jensen Huang told Bloomberg Television, "Between us, we're going to do half a trillion dollars' worth of business" .
The scope of the agreement is extraordinary:
- The two companies will jointly build AI data centers with capacity exceeding **2 gigawatts**—enough to power approximately 1.5 million homes .
- The first "AI Factory," constructed by SK Telecom, is expected to become operational as early as **next year** .
- Nvidia will assist SK Hynix in designing the next generation of high-bandwidth memory (HBM) chips, securing its supply of critical components amid a severe global shortage .
### The OpenAI Negotiations: A $250 Billion Guarantee
Nvidia is also in discussions to provide up to **$250 billion in guarantees** to help OpenAI lease computing power from a $50 billion, 10-gigawatt data center hub being developed by a SoftBank subsidiary in Ohio . Additionally, Nvidia is negotiating to provide **$350 billion in financing** for OpenAI's chip purchases .
If finalized, this would become one of Nvidia's largest financing deals with a customer . It would help OpenAI—a private, loss-making company—secure the computing power it needs to compete, while supporting SoftBank founder Masayoshi Son's ambition to play a central role in AI . SoftBank's investment commitment to OpenAI is nearing $650 billion, and it has signed a $40 billion bridge loan—one of the largest in the Asia-Pacific region—to fund it .
### The Naver Investment: A $1 Billion AI Data Center Play
On the same day, Nvidia announced it would invest $1 billion in South Korean internet and cloud service provider Naver Corp. to help finance a massive AI data center in South Korea . The facility, which Nvidia will supply with GPUs, is expected to reach **200 megawatts of capacity by 2028** and eventually expand to gigawatt scale .
---
## The "Circular Financing" Problem
### What Is Circular Financing?
Critics have warned for months that Nvidia's investment model creates a "circular" financing dynamic . The structure works like this:
1. Nvidia invests in or provides financing to an AI company or data center operator
2. That company uses the funds to purchase Nvidia's chips and services
3. The revenue flows back to Nvidia, which then reinvests in more customers
4. The cycle continues, potentially inflating both demand and valuations
"This is how the entire AI industry is becoming reliant on a single company's willingness to underwrite its own demand," one analyst told Bloomberg .
### Why It's Dangerous
The risks of circular financing are systemic :
1. **Distorted incentives:** Companies may make spending decisions based on the availability of Nvidia financing rather than genuine market demand .
2. **Amplified losses:** If AI demand fails to meet expectations, the interconnected debt and equity stakes could magnify losses across the industry .
3. **Rising leverage:** AI companies are borrowing heavily to build data centers and purchase chips, making the sector vulnerable to a credit crunch .
4. **Valuation risk:** The AI infrastructure boom is increasingly funded by debt rather than equity, which could lead to a correction if investors reassess the underlying economics .
### The "Negative" Argument: It's Not Just Nvidia
Nvidia isn't alone in this approach. Google has agreed to support lease payments for five data center sites used by Anthropic, helping it secure a $35 billion loan . Cross-shareholdings and mutual guarantees are increasingly binding the interests of AI companies together, exposing the entire industry to potential systemic shocks .
---
## The Defense: Jensen Huang Says It's "Ridiculous"
Nvidia CEO Jensen Huang has consistently rejected the "circular" characterization of his company's deals. In a January interview, when discussing Nvidia's investment in CoreWeave, he said:
> "It's a small percentage of the amount of money that they ultimately have to go raise. The idea that it is circular is—it's ridiculous."
Huang has argued that Nvidia's investments in companies like OpenAI and Anthropic are meant to generate returns as well as strengthen the AI ecosystem . Nvidia has also invested in data center operators including IREN Ltd., CoreWeave Inc., and Nebius Group NV, and has announced more than $540 billion worth of similar deals this year alone—excluding the potential OpenAI agreement .
Other Nvidia defenders point out that vendor financing isn't unusual in capital-intensive industries. Aircraft manufacturers, industrial equipment makers, and energy companies have long helped customers secure funding . The difference, they argue, is the sheer scale of today's AI infrastructure projects—and the speed at which they're being rolled out.
---
## The Investors' Dilemma: Signal or Noise?
For investors, the $750 billion in deals represents both opportunity and risk.
### The Bull Case
Nvidia is cementing its position as the indispensable provider of AI infrastructure. By financing its customers, it's ensuring that they can afford to keep buying its chips—creating a virtuous cycle of demand. The company's investments are also creating returns and deepening relationships that competitors can't easily replicate .
### The Bear Case
The "circular financing" dynamic could be artificially inflating AI demand and valuations . If the AI spending boom slows, the interconnected debt and equity stakes could create a cascade of losses. Some analysts have drawn comparisons to the dot-com era, where companies funded each other's growth with stock and debt, only to see the entire edifice collapse when the music stopped.
Allspring Global Investments portfolio manager Gary Tan captured the market's unease:
> "While Nvidia's investments and partnerships reinforce confidence in long-term AI buildouts, investors remain concerned about circular financing. Capital is increasingly being used to fund future AI customers and infrastructure deployments."
---
## Frequently Asked Questions
### Q: What is "circular financing" in the AI industry?
A: Circular financing occurs when Nvidia invests in or finances AI companies, and those companies then spend the money buying Nvidia's chips. Critics say this artificially inflates demand for AI hardware and could lead to a market correction if the spending slows .
### Q: How much is Nvidia spending on AI infrastructure deals?
A: Nvidia is working on a new round of AI infrastructure deals potentially worth more than $750 billion, including a $500 billion partnership with SK Group and discussions to provide up to $250 billion in guarantees to OpenAI .
### Q: What is Nvidia's partnership with SK Group?
A: Nvidia and SK Group, the parent of memory chipmaker SK Hynix, have announced an AI cooperation agreement worth more than $500 billion. The deal includes Nvidia's procurement of memory chips from SK Hynix and SK Group's purchase of Nvidia supercomputers .
### Q: Is Nvidia the only company using this model?
A: No. Google has agreed to support lease payments for five data center sites used by Anthropic, helping it secure a $35 billion loan .
### Q: What are the risks of circular financing?
A: The risks include distorted business incentives, amplified losses if AI demand slows, rising debt levels across the industry, and potential systemic shocks from interconnected investments .
### Q: What has Jensen Huang said about the criticism?
A: Huang has rejected the "circular" characterization, saying that Nvidia's investments represent only a small fraction of what customers ultimately need to raise. "The idea that it is circular is—it's ridiculous," he said .
---
## Conclusion: The AI Ecosystem's Double-Edged Sword
Nvidia's $750 billion in AI infrastructure deals is a testament to the company's ambition and its central role in the AI revolution. But as the chipmaker deepens its involvement as supplier, investor, and financier, it's also creating a web of interconnected debts and commitments that could amplify losses if the AI spending spree slows.
The "circular financing" debate is likely to intensify as these deals move forward. For now, Nvidia's stock remains a Wall Street darling, and the company's revenue continues to soar. But the history of technology is littered with examples of companies that funded their own demand—and the corrections that followed.
As one analyst put it: "The question isn't whether Nvidia is making money today. It's whether the entire AI infrastructure boom is built on a foundation that can sustain itself when the financing taps run dry."
Read more---
## Disclaimer
**IMPORTANT:** This article is for informational and educational purposes only and does not constitute financial, investment, or trading advice. The information contained herein is based on publicly available sources and reflects the author's understanding as of the publication date. Market conditions, stock prices, and company performance are subject to rapid change. All investments carry risk, including the potential loss of principal. You should consult with a qualified financial advisor before making any investment decisions.