Nvidia AI Chips Are Now an Asset Class. BlackRock CEO Larry Fink Just Compared Them to Mortgage-Backed Securities.

Artificial intelligence (AI) chip giant Nvidia (NVDA) announced on Monday memorandums of understanding with six heavyweight financial institutions — Apollo (APO), BlackRock, Blackstone, Brookfield (BAM), Goldman Sachs, and KKR (KKR) — to mobilize over $500 billion in third-party capital for AI infrastructure. 

The initiative reframes GPU compute capacity as a long-duration, bankable asset class comparable to commercial real estate, toll roads, or power grids, allowing institutional investors to underwrite AI data centers the way mortgage lenders underwrite homes. 

“This is really the first time that technology chips have become an investable asset class,” said Nvidia CEO Jensen Huang in an interview with CNBC. “These are revenue-generating assets now. They’re productive, they’re long-lived, they’re fungible, they’re flexible.”

Huang added that “the computer is now part of the infrastructure, like electricity, like the internet, and so you have to think about it like it’s infrastructure.”

Nvidia Cleans Up Its Balance Sheet

The financial architecture being constructed here shifts AI infrastructure funding away from Big Tech balance sheets and onto institutional credit, insurance funds, and private capital. 

Goldman Sachs (GS) CEO David Solomon explicitly stated the goal is to create a market for credit backed by Nvidia compute, while Blackstone's (BX) Jon Gray drew direct parallels to residential mortgage lending. 

Nvidia itself may backstop up to 25% of qualifying loans through residual-value support, a structure designed to attract outside capital by partially absorbing downside risk on hardware depreciation.

Are AI Chips the Next Mortgage-Backed Security Crisis?

BlackRock (BLK) CEO Larry Fink made a particularly interesting comment, noting on CNBC that this initiative marks the “next future for financial engineering,” and drawing parallels between Nvidia's new $500 billion compute financing initiative and the birth of mortgage-backed securities in the 1970s. 

Fink, who personally helped transform home mortgages into a global financial product decades ago, sees the same structural opportunity in treating AI chips and data centers as collateralized, revenue-generating infrastructure rather than rapidly depreciating equipment. 

The CEO’s analogy is equal parts illuminating and cautionary. While Fink, from his perch, is understandably optimistic about financial engineering on a scale that could reshape capital markets, investors should simultaneously note the introduction of potentially systemic risks that deserve careful scrutiny.

The Core Risk for Chips as an Asset Class

The market's initial reaction — reflected by a roughly 2.9% decline in Nvidia shares on Monday, erasing approximately $60 billion in market capitalization — reflects legitimate concerns about leverage, circularity, and the fundamental tension between rapidly evolving technology and long-duration financing. 

Critics rightly note that GPUs have historically been treated as fast-depreciating hardware, with Amazon (AMZN) recently shortening estimated server useful life from six to five years specifically due to AI's accelerating development pace. 

The core risk remains that newer chip generations could emerge before existing loans are repaid, undermining the collateral value that this entire asset class depends upon. 

Whether AI compute ultimately proves as durable and financeable as this new initiative suggests will depend entirely on the contractual terms, utilization rates, and whether cash flows can genuinely outrun the relentless pace of hardware obsolescence.

This article was created with the support of automated content tools from our partners at Sigma.AI. Together, our financial data and AI solutions help us to deliver more informed market headline analysis to readers faster than ever.