Nvidia Partners with Major Asset Managers for AI Financing

Nvidia is collaborating with six prominent asset management firms in a significant $500 billion financing initiative that seeks to transform AI chips into a borrowable asset class, akin to commercial real estate or toll roads.

The semiconductor company has finalized agreements with Apollo Global Management, Blackstone, BlackRock, Brookfield Asset Management, Goldman Sachs, and KKR to create a dedicated financing platform for Nvidia customers. The announcement was made on Monday.

This project aims to raise over $500 billion in third-party funding to support hyperscalers, advanced AI labs, and companies in constructing data centers and acquiring Nvidia equipment. Nvidia plans to help its customers secure financing by leveraging institutional credit, insurance funds, and private capital, rather than solely relying on their own finances.

“This marks the first time that technology chips have been recognized as an investment asset,” said Nvidia’s founder and CEO Jensen Huang. “These are now generating income: they are productive, long-lasting, and adaptable.”

Huang emphasized that Nvidia’s hardware is transferable between users, compelling lenders to treat their computing assets as enduring, revenue-generating resources. Traditionally, GPUs have depreciated rapidly in value, but Nvidia is working to reposition AI computing as a form of sustainable infrastructure.

“What sets this industry apart is that computers function as infrastructure, much like electricity and the internet,” Huang mentioned.

Alternative asset managers are eager to infuse capital into digital infrastructure projects, utilizing institutional investors and insurance funds for financing. Firms like Apollo and Blackstone are already involved in securing debt and equity for businesses such as Anthropic.

This announcement comes after a decline in global markets in July, raising questions among investors about whether investments from major tech firms in AI would yield substantial returns. Hyperscalers are currently allocating billions toward data centers and technology, with rating agencies like Moody’s warning that such spending levels might stress cash flows and increase debt burdens for tech companies.

Leaders from the involved Wall Street firms, including BlackRock’s Larry Fink, Blackstone’s John Gray, and Goldman Sachs’ David Solomon, asserted in a joint statement that computing technology has rapidly evolved into a vital asset class that will drive the forthcoming phase of the global economy.

“We’re at a crucial juncture in the current AI investment cycle,” Solomon noted. “Our role in investing and sales reflects our trust in NVIDIA’s direction and we’re enthusiastic about creating a credit market supported by NVIDIA’s computing power.”

Solomon also revealed that Huang had proposed the financing initiative to the Wall Street firms.

Gray remarked that AI computing will likely be viewed as a “bankable asset class,” similar to how mortgage lenders assess real estate. He mentioned that demand for AI capabilities has surged, with Blackstone’s portfolio companies experiencing usage increases of up to seven times this year.

Fink stated he views this project as the dawn of “the next wave of financial engineering,” comparing it to the inception of mortgage-backed securities in the 1970s. He indicated that some funding has already been secured and that BlackRock plans to “raise substantial additional funds.”

“It’s crucial that we get this funding operational quickly, as it’s essential for the U.S. to maintain its leadership in AI,” Fink emphasized.

Some experts express skepticism. Michael Burley, known for his critiques regarding AI investments, has suggested that major tech firms are exaggerating the value of their AI processing capabilities.

Burley pointed out that “hyperscalers,” who provide cloud and AI infrastructure, often miscalculate the depreciation of their chips, leading to inflated profit reports. He noted, “Overestimating the lifespan of assets and underreporting depreciation is a widespread issue today,” and he believes major companies may be underestimating depreciation by $176 billion between 2026 and 2028, potentially inflating profits.

Despite the uncertainties, Wall Street seems to be banking on the future of AI. It’s a pivotal moment—one where many hope for substantial advancements and returns in the tech investment landscape.