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Major global financial institutions are reportedly preparing to commit $500 billion toward a massive artificial intelligence infrastructure deal alongside chipmaker Nvidia. A consortium that includes prominent firms such as Blackstone, BlackRock, and Goldman Sachs is orchestrating the venture, according to details revealed in a Financial Times report citing six people briefed on the talks. Industry observers note that the official agreement could be announced as early as Monday.

This enormous financial pledge arrives amid growing concern regarding the practice known as “circular dealmaking” and the escalating financial commitments surrounding the rapid expansion of artificial intelligence infrastructure. The proposed arrangement follows another massive agreement involving Nvidia, which recently announced a $500 billion deal with South Korean chipmaker SK Hynix. In addition, subsequent reports indicate Nvidia may strike a $250 billion deal with OpenAI to assist in financing a massive, power-hungry 10-gigawatt data center project located in southern Ohio.

If finalized, that financing venture would mark one of Nvidia’s largest arrangements with a customer. Beyond data center leasing and debt coverage, the chip designer is also reportedly discussing a separate $350 billion deal to finance AI chip purchases.

The rapid succession of these multibillion-dollar commitments is raising alarms about the financial interdependencies forming at the heart of the tech sector. Analysts warn that these tangled relationships, centered primarily around Nvidia and OpenAI, could distort natural market demand and concentrate significant risk. In a worst-case scenario, the collapse of a single deal could trigger a domino effect that some say could engulf the entire American economy.

Public scrutiny surrounding high-stakes artificial intelligence financing has intensified over the past year. Initial anxiety sparked after a high-profile $100 billion deal between OpenAI and Nvidia was announced in September 2025, though that arrangement ultimately failed to materialize and was reportedly dropped. Unease deepened further following recent earnings reports from major hyperscalers, which showed noticeable drops in cash flow due to the tremendous capital expenditures required to sustain the artificial intelligence buildout.

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