Technology

Nvidia: AI becomes a financial asset. Partnership with global financial giants

The partnership aims to raise up to $500 billion and includes Goldman Sachs and investment firms such as Apollo, BlackRock and KKR,

FOTO D'ARCHIVIO: I loghi di Nvidia e ChatGPT sono visibili in questa illustrazione scattata il 22 settembre 2025. REUTERS/Dado Ruvic/Illustrazione/Foto d'archivio REUTERS

3' min read

Translated by AI
Versione italiana

3' min read

Translated by AI
Versione italiana

Nvidia wants to draw the global financial sector ever more deeply into the race for artificial intelligence. The group led by Jensen Huang has reached an agreement with some of the world’s leading financial institutions – Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR – with the aim of mobilising up to $500 billion to fund new AI infrastructure.

The figure is enormous, but it needs to be interpreted correctly. It does not mean that Nvidia has set aside $500 billion, nor that the six financial groups have already raised that sum. The $500 billion represents the amount of capital that the new financial platforms aim to raise over time, by bringing in external investors.

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The money is expected to come primarily from the vast pool of global institutional savings: pension funds, insurance companies, sovereign wealth funds, high-net-worth individuals and other professional investors. This capital may be supplemented by bank loans, private credit and other forms of debt.

The solution

Essentially, the mechanism is the same as that already used to finance major infrastructure projects such as motorways, airports, energy networks and telecommunications masts. What is new is the asset to be financed: the computing power required for artificial intelligence.

Building a large AI data centre costs billions of dollars. It requires land, buildings, connections to the electricity grid, cooling systems, networking and, above all, hundreds of thousands of accelerators and processors. A significant part of this infrastructure is made up of Nvidia technology.

So far, these investments have been funded mainly by the budgets of large technology companies. Microsoft, Amazon, Alphabet and Meta are spending hundreds of billions to increase their computing capacity. But the growth of AI is driving capital requirements to such levels that a second source of funding is becoming necessary.

The agreement

This is where Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR come into the picture. The agreement does not, at least according to the information made public, provide for the creation of a single 500 billion fund. Instead, the various financial operators are expected to develop independent platforms through which to structure and finance individual projects.

A ten-billion-dollar project, for example, could be structured within a special-purpose vehicle. Part of the capital could be provided by pension funds and insurance companies through funds managed by one of Nvidia’s partners. Another part could come in the form of debt from banks, private credit funds or bond investors.

In this way, some of the money that currently goes towards pension funds, insurance companies and infrastructure funds could be channelled into data centres, energy and computing systems for artificial intelligence.

For Nvidia, the advantage is clear. The more capital available to build AI infrastructure, the greater the potential for its customers to purchase GPUs, networking equipment and other systems from the group. But the model also allows companies using the computing power to avoid necessarily bearing the full initial cost of the infrastructure on their own balance sheets. Part of the financial risk can be transferred to the investors funding the project.

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It is also the most sensitive aspect of the operation. A power station can have an economic lifespan of several decades. The processors used for artificial intelligence, on the other hand, become technologically obsolete much more quickly.

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