Nvidia’s $500 billion Wall Street move marks a new threshold in AI investments

Nvidia has taken a remarkable step with Wall Street’s largest financial institutions at a time when spending on artificial intelligence infrastructure is growing rapidly. The company announced that it has signed memorandums of understanding aiming to create over $500 billion in funding to allow technology firms to finance data center investments without directly reflecting them on their balance sheets.

According to the statement, major asset managers including Apollo Global Management, Blackstone, BlackRock, Brookfield Asset Management, Goldman Sachs, and KKR will deploy institutional investors, insurance funds, and private credit sources through structures Nvidia defines as “compute financing platforms.”

With this model, artificial intelligence and cloud companies borrowing funds will be able to access financing not only for Nvidia chips but also for infrastructure items such as servers, networking equipment, data center buildings, and energy supply. Nvidia has the option to guarantee up to one-quarter of each deal. This mechanism lowers the borrowing cost for customers while leaving a significant portion of the credit risk with the financing institutions.

Nvidia CEO Jensen Huang stated that they approached only these six companies for the proposal and that none of them turned it down. Arguing that graphics processing units should no longer be viewed as ordinary hardware that loses value quickly, but rather as infrastructure assets that generate revenue for a long time, Huang said, “These are now revenue-generating assets.”

BALANCE SHEET PRESSURE IS INCREASING

Behind this move lies the capital expenditure pressure that artificial intelligence investments create on tech giants. It is stated that the total capital expenditure expectation for 2026 for Microsoft, Amazon, Alphabet, Meta, and other major cloud providers has risen to the range of $720 billion to $745 billion. This represents an increase of approximately 77 percent compared to the previous year.

According to Bank of America data, the spending forecast that analysts expect hyperscalers to make in 2027 has also risen sharply within a year. The consensus estimate, which was at the $480 billion level in August 2025, has risen to $1.08 trillion this month. This picture shows that the artificial intelligence race is rapidly increasing the need not only for chip demand but also for data center and energy infrastructure.

Moody’s, meanwhile, warns that investments of this scale could reduce the free cash flow of technology companies and bring the need for more borrowing to the agenda. Alphabet reporting a negative free cash flow of $5.9 billion in a quarter where it spent $44.9 billion on projects stands out as one of the examples of this pressure.

For this reason, the financing model Nvidia has established with Wall Street is evaluated not only as a tool that will facilitate new chip sales but also as a solution that could ease the balance sheet management of technology companies. It is stated that especially for smaller operators that do not have an investment-grade credit rating, such as CoreWeave and Nebius, the opportunity to access capital under more favorable conditions may arise.

INVESTORS' QUESTION: WHAT WILL BE THE VALUE OF GPUS?

However, the market’s reaction was not one-sided. While equity investors viewed the opening of a new financing channel in artificial intelligence infrastructure positively, a more cautious picture emerged in the credit market. It is stated that following the news, the cost of insuring Nvidia’s debt against default has risen and has approximately doubled since the end of May.

At the center of the criticisms is the question of whether GPUs can be accepted as long-term infrastructure assets. Nigel Green from the financial consultancy firm deVere Group warned, “Chips depreciate rapidly and lose value as soon as a new generation is released,” stating that providing loans against these assets would only work healthily if the collateral value is maintained.

Another topic of debate is Nvidia supporting a financing structure that facilitates the purchase of its own products. This situation raises question marks regarding the circularity between demand, investment, and revenue expectations in the artificial intelligence sector.

Goldman Sachs CEO David Solomon described the development as a “turning point in a historic AI investment cycle.” However, whether this turning point signals a sustainable growth model or a riskier debt cycle will depend on the answer to the question of how much value today’s GPUs will hold in five years.