Nvidia's $750B AI Deals Spark Circular Financing Concerns
The chipmaker is accelerating infrastructure investments that critics say artificially inflate demand across the AI industry.
Nvidia is pursuing a new wave of artificial intelligence infrastructure agreements potentially exceeding $750 billion in value, intensifying concerns that the company's investment strategy creates circular financing loops that distort the AI market.
The chipmaker disclosed a partnership with SK Hynix's parent company worth more than $500 billion late last week. Separately, Nvidia is negotiating to guarantee up to $250 billion for OpenAI to lease computing capacity from a U.S. data center project. The company is also discussing financing $350 billion of OpenAI's chip purchases for that same project, according to a source familiar with the discussions.
Bloomberg first reported these details.
The circular financing problem
The core issue troubling market observers is straightforward: Nvidia finances companies and infrastructure projects that then purchase Nvidia's own chips. This arrangement has been building for months, but the scale and pace of new deals is accelerating.
"While Nvidia's investments and partnerships reinforce confidence in long-term AI buildouts, investors remain concerned about circular financing," said Gary Tan, a portfolio manager at Allspring Global Investments. "Capital is increasingly being used to fund future AI customers and infrastructure deployments."
The risk extends beyond Nvidia. These interconnected deals create potential for distorted incentives across multiple industries, potentially leading to poor strategic decisions. If AI demand fails to meet elevated expectations, losses could cascade through the ecosystem.
Industry-wide pattern
Nvidia has taken stakes in AI developers including OpenAI and fellow chipmakers like Marvell Technology over the past two years, positioning itself throughout the AI value chain. The company isn't alone in this approach—Google agreed to backstop lease payments at five data center locations for Anthropic, effectively enabling a $35 billion loan for the AI startup.
These arrangements leave AI companies increasingly intertwined, creating vulnerability to systemic shocks. Rising debt levels compound the concern, as companies across the sector increase borrowing to fund data center construction and chip acquisitions.
Why it matters
The structure of these mega-deals could determine whether the AI boom represents genuine economic transformation or a bubble inflated by self-referential financing. When the dominant chip supplier also becomes the primary financier of its own customers' purchases, traditional market signals about supply and demand become harder to read. For business leaders planning AI investments, understanding whether current infrastructure buildouts reflect authentic demand or financially engineered momentum is critical for avoiding overcommitment to an overheated market.
The details were first reported by Bloomberg's Dina Bass and Winnie Hsu.
This is an original analysis by the Omega editorial team. Source reporting: AI Watch.
Want systems like this working for your business?
Book a Call
