Nvidia has partnered with six Wall Street giants, including Goldman Sachs and KKR, to raise $500 billion for artificial intelligence infrastructure. Chief executive Jensen Huang announced the financing coalition to independently underwrite compute hardware, while market analysts raised questions about capital returns and circular financing risks.
Wall Street Giants Commit Half a Trillion to Compute Infrastructure
Nvidia has teamed up with six of Wall Street’s largest financial institutions and investors to secure a $500 billion financing commitment for artificial intelligence infrastructure globally. The financing initiative treats AI hardware and infrastructure—often referred to simply as compute—as an asset class for the first time.
In AI, compute is revenue,
Nvidia chief executive Jensen Huang said during an interview. We are bringing the world’s leading long-term capital providers together to independently underwrite AI infrastructure.
The raised capital will fund Nvidia’s internal projects alongside developments led by its industry partners. Projects backed by the fund are expected to include new data centers designed to house, operate, and cool stacked computer chips, as well as new manufacturing facilities to build the processors required to power these systems.
Structuring the Debt and Collateral Behind the AI Super Cycle
The financing strategy relies on specialized financial structures. Deals will use compute power as collateral for debt, issuing private offerings and bonds through special-purpose entities capable of raising tens of billions at a time. These vehicles will lease the compute hardware directly to Nvidia customers. Goldman Sachs serves as the sole bank in the partnership, positioning itself to lead public debt deals while capturing investment returns through its asset-management division.
Investment banks across Wall Street are reporting strong fee generation from AI-related transactions amid a broad industry rush to fund infrastructure. Goldman Sachs chief executive David Solomon noted during an earnings call that the buildout remains in its early stages. The build-out of AI infrastructure remains in its early stages, and we believe this multi-year investment cycle will continue to drive elevated levels of strategic activity, financing, and capital formation across markets,
Solomon said, adding that the industry operates inside an AI capital expenditure super cycle.
Morgan Stanley chief executive Ted Pick told analysts that capital expenditure forecasts have escalated rapidly. The forecast for 2026 on data center CapEx that was taken late last year around November of ’25 was that $575 billion would be spent this year and it’s coming in at about $850 billion,
Pick said. He added that projections for 2027 have risen from $700 billion to $1.3 trillion, with 2028 spending potentially reaching a much higher total.
Market Skepticism and the Circular Financing Debate
Despite the massive capital inflow, market reaction has been mixed. Nvidia shares fell as much as 3.2% following news of the talks, trading down 2.2% at $219.01 in early New York afternoon trading. Financial analysts have raised concerns over circular financing, an arrangement where a hardware supplier funds the buyer who in turn purchases the supplier’s products.
Nvidia is absolutely enormous and produces these chips that everybody needs for AI and it needs to keep facilitating the growth of AI,
Jane Sydenham, senior investment manager at Rathbones, told the BBC. However, she cautioned: The worry is that more and more money is going into these projects. Are they all going to earn the right return for the future?
Industry observers note that bringing in six independent balance sheets answers criticism regarding sole-source supplier backing. Yet, uncertainty remains regarding exact project timelines, the proportion of fresh capital versus repackaged commitments, and ultimate liability if data center demand fails to materialize.
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