Wall Street lenders demand stronger guarantees on Nvidia's $500 billion chip-backed financing plan
Bankers and asset managers are pushing back on Nvidia's plan to use its advanced chips as long-term collateral for a US$500 billion financing initiative. Lenders want stronger guarantees, arguing the chips may not hold value for the decade Nvidia claims, and are seeking more certainty in deal struct
NEW YORK, Oct 1 — Nvidia's mammoth financing plan has opened a debate on Wall Street about how much its advanced chips and the infrastructure around them are worth. The answer for banks and investors seems to be: Not as much as Nvidia thinks.
Some lenders want higher guarantees than the company had originally outlined, even for Nvidia's industry-leading AI processing power, as they try to calculate how long the revenue from its chips will last, banking sources and credit managers told Reuters, some requesting anonymity. The chips, which provide the critical processing power known as 'compute', are at the centre of a potential mismatch in views between Nvidia and a more cautious Wall Street, raising potential future financing headaches for AI companies seeking to tap deep new pools of capital.
The bankers and asset managers said they have some doubts that the chips can act as long-term collateral as Nvidia says, and therefore want more guarantees from the company on its US$500 billion financing plan that relies on chip-backed loans. Already, sources told Reuters, deals in the pipeline likely offer investors more certainty including stronger guarantees. 'Wall Street is much more conservative,' Tony Trzcinka, a senior portfolio manager at Impax Asset Management, said of Nvidia's claim that its most specialised chips can earn revenues for a decade.
In a statement, an Nvidia spokesperson said that its 'AI compute is a productive, durable and fungible asset that can support long-term financing. Our financing partners independently assess each opportunity, including customer commitments, expected cash flow and residual value.' 'Financing structures will vary as this market develops,' the spokesperson added.
The questions over Nvidia's financing plan come as companies and investors are pouring hundreds of billions of dollars into data centres, chips and power capacity to support the broader AI boom, which is driving US economic growth. Some have questioned the use of private credit, vendor financing and circular deals, the last two of which played a role during the dot-com boom and bust more than 25 years ago, Morningstar analysts said in a recent note. Nvidia's plan, announced with financiers including Blackstone, Apollo and KKR in August, had envisioned using chips as collateral with limited guarantee in order to allow AI developers a way to facilitate their access to Nvidia's compute. The strategy was seen as an expensive but necessary way to create a financing market similar to that used in the leasing of aircraft.
Nvidia has said that some of the deals could have no more than a 25 per cent residual value guarantee, saying the initiative is designed to address concerns around circular financing. Three banking sources, who were familiar with the matter but not part of the original financing group, said Nvidia may need to offer guarantees on all of its deals, or they may have to be backed by a revenue stream from investment-grade customers such as a technology firm to cover the debt. For now, they told Reuters, the market is not ready to treat the chip-maker's compute as an investment-worthy asset akin to aircraft.
Nvidia is seeking to ease these concerns, the sources added, giving details that had not previously been reported. Tens of billions of dollars of loan deals in the pipeline are likely to have strong guarantees and contracts, one source said. A second source said that some structures being explored would potentially give lenders guarantees. Despite the concerns over guarantees, there remains high demand to finance the deals, the sources said. Chief Executive Jensen Huang has said he aimed to make Nvidia's compute 'an investable infrastructure asset', as opposed to the typical system of customers buying subscription contracts to AI firms in order to get access to the compute.