During a reception in Tokyo on July 16, 2026, Nvidia’s CEO Jensen Huang discussed the exciting future of artificial intelligence financing with the media. Over the past few years, leading tech companies have heavily invested in AI infrastructure, often resulting in negative cash flows as they leverage significant equity and debt. Huang outlined a transformative plan for the next phase of AI investment during an interview with CNBC, revealing a collaborative initiative involving top financial firms like Goldman Sachs, BlackRock, Blackstone, KKR, Apollo, and Brookfield. Together, they aim to raise a staggering $500 billion or more to support the creation of new AI factories, reflecting the tech industry's urgent efforts to satisfy relentless demand.
Huang emphasized that AI infrastructure is evolving into a distinct asset class, highlighting that these advanced systems represent substantial revenue-generating opportunities. He differentiated them from traditional consumer electronics, asserting that these infrastructures have longevity and versatility. However, specific details regarding potential borrowers, interest rates, and timelines for construction remained vague. Their joint announcement included signed memorandums of understanding but lacked clear contracts. Just under a year ago, Nvidia had pledged up to $100 billion for a partnership with OpenAI to establish data centers with a substantial energy requirement; however, this commitment did not materialize, although Nvidia did invest $30 billion in OpenAI's record funding round earlier.
This latest announcement portrayed a starkly different tone, with stakeholders collectively conveying confidence that financial resources would not pose a barrier to the expansive AI landscape, expected to see $7 trillion in global investments by the decade’s end, as projected by McKinsey.
In 2023 alone, major players like Alphabet, Amazon, Meta, Microsoft, and Oracle raised over $150 billion to expand their data centers and develop AI models. Additionally, Intel recently increased its stock offering to $20 billion. Financial institutions are now looking to engage in the AI investment space, recognizing that AI equipment can be perceived as valuable assets, as noted by Goldman Sachs CEO David Solomon. He highlighted the emerging trend of asset-based financing supporting this infrastructure.
Huang reinforced that rather than merely being high-performance computers, these systems, which utilize Nvidia's costly graphics processing units, could be positioned as attractive investments. He explained how the improvements possible through Nvidia's CUDA software could extend their viability, thus enhancing profitability. KKR’s Waldemar Szlezak added that these systems could generate revenue streams, which could be securitized and made accessible to investors.
As Wall Street's interest in securitization of physical assets grows, questions arise about potential pitfalls. Financial experts remember the 2008 crisis, which was partly driven by poorly assessed mortgage-backed securities. Michael Burry, known for profiting from the subprime mortgage collapse, alluded last year to potential overestimations by firms regarding AI chip lifespans and depreciation. While this previous crisis was not explicitly mentioned in the discussions, several financiers acknowledged inherent risks within the AI sector. Jim Zelter from Apollo Global Management cautioned about possible market excesses and the volatility that could ensue. He reassured that the diversity of participants would help mitigate concentration risks.
BlackRock’s CEO Larry Fink likened this emerging AI financing landscape to the early days of the mortgage-backed securities market, suggesting it represents a promising new frontier for financial engineering. Huang noted that, although Nvidia will facilitate connections between clients and financing entities, each financial partner would make independent lending decisions. Nvidia plans to support 25% of every loan, potentially leading to reduced interest rates for companies previously constrained by their credit standings. Moreover, borrowers must adhere to Nvidia-specified architectures, ensuring third parties can step in if needed.
Although Nvidia has much to finalize with its financial partners, this gathering has underscored the immense financial resources available for the growing AI ecosystem. Brookfield’s CEO Bruce Flatt acknowledged Huang’s leadership in creating structures that appeal to investors, underscoring the vast pool of global capital at play.
