---
title: "Jensen Huang's Departure Shakes NVIDIA's Status as 'AI Central Bank'! Tighter Financing Could Trigger Industry Reshuffle, Neoclouds Hit First"
type: "News"
locale: "en"
url: "https://longbridge.com/en/news/305529368.md"
description: "Amid rumors of Jensen Huang's departure, attention has turned to NVIDIA's financial support network, which serves as the 'AI central bank.' With $99 billion in equity investments and over $530 billion in financing commitments, a slowdown by NVIDIA could lead to rising financing costs and delayed construction for emerging cloud service providers, potentially triggering an industry reshuffle"
datetime: "2026-11-14T05:20:04.000Z"
locales:
  - [zh-CN](https://longbridge.com/zh-CN/news/305529368.md)
  - [en](https://longbridge.com/en/news/305529368.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/305529368.md)
generator: "portal-rs"
---

# Jensen Huang's Departure Shakes NVIDIA's Status as 'AI Central Bank'! Tighter Financing Could Trigger Industry Reshuffle, Neoclouds Hit First

In recent years, NVIDIA (NVDA-US) has been more than just an AI chip supplier. Through equity investments, credit guarantees, cloud service procurement, and data center collaborations, it has become a crucial source of funding supporting the expansion of the AI industry, earning it the moniker "AI central bank" in the market. Now, with rumors circulating about CEO Jensen Huang's departure, the market is beginning to question whether this funding support network, orchestrated by him, will undergo changes.

For the AI industry, the real issue is not just whether NVIDIA can maintain growth in chip sales, but whether the company will remain willing and able to continue driving large-scale financing and investment partnerships after losing Jensen Huang's personal influence and appeal. If NVIDIA slows its financial support, emerging cloud service providers (Neoclouds), data center operators, and related supply chains could face pressure from rising financing costs and delayed construction progress.

###### NVIDIA Acts as 'AI Central Bank' with Massive Equity Investments and Financing Commitments

In recent years, NVIDIA has sold chips while actively investing in the AI industry chain. As of July 26 this year, the book value of NVIDIA's equity investments had reached $99 billion, covering AI model companies, emerging cloud service providers, customers, and upstream suppliers. The largest single investment was $30 billion in OpenAI.

In addition to equity investments, NVIDIA has made substantial long-term commitments to the industry through chip purchases, cloud services, data center leases, compute power buybacks, and various guarantees. The total cap for these commitments and guarantees is approximately $530.5 billion, including $279 billion in commitments for chip and capacity purchases, and a $105 billion guarantee for OpenAI's data center project in Ohio.

This model creates an interdependent funding cycle: NVIDIA invests in AI companies or provides financing support to cloud providers, helping them secure funds to build data centers and purchase GPUs, which in turn expands market demand for NVIDIA through chip sales and compute services.

However, this model has also raised market concerns about "circular financing." Critics argue that when a chip supplier simultaneously invests in its customers, it becomes difficult to distinguish between some AI infrastructure demand and genuine end-market demand.

###### Financing Partnerships May Be Harder to Advance After Jensen Huang's Departure

The market worries that after Jensen Huang's departure, NVIDIA may slow down its pace in promoting large-scale investment and financing deals.

Goldman Sachs analyst James Schneider maintained a "Buy" rating for NVIDIA in a related report but lowered the target price from $300 to $220. He expects NVIDIA to fulfill all announced commitments but believes that without Jensen Huang's vision, connections, and appeal, it will be significantly more difficult to facilitate multi-party collaborative investments of similar scale in the future.

UBS analyst Tim Arcuri also listed financing as the area most likely to be affected by Jensen Huang's departure. He pointed out that even if the new leadership team continues the existing strategy, NVIDIA's willingness and ability to promote such deals may stall in the short term.

Sebastien Naji, an analyst at US investment bank William Blair, believes that signed contracts are unlikely to be affected by the change in CEO; the real risk lies in the next round of deals yet to be finalized. If NVIDIA reduces financial support in the future, its market share in 2027 and beyond could face greater challenges from competitors like Broadcom (AVGO-US) and AMD (AMD-US).

Furthermore, the market is watching to see whether CFO Colette Kress, upon assuming leadership duties, will adopt a more prudent capital allocation strategy. Reports indicate that Kress has previously questioned certain financing deals, including requesting clarification on guarantee pricing, risk assessment, and return on investment, and had renegotiated the terms of NVIDIA's guarantee for OpenAI's Ohio data center project.

This suggests that the new leadership team may place greater emphasis on transaction risk and balance sheet management, but for AI enterprises relying on NVIDIA's financial support, it also means securing financing may become more difficult in the future.

###### $500 Billion Financing Platform Delayed as Lenders Demand Higher Protection

The pressures facing NVIDIA's financing strategy had already emerged before news of Jensen Huang's departure.

Reports stated that in August this year, Jensen Huang joined six Wall Street asset management firms to propose a $500 billion AI financing platform. The plan allowed enterprises to borrow money to purchase chips using GPUs as collateral, with NVIDIA committing to provide up to $125 billion in risk backstop.

However, about three months after the platform's launch, no transactions have been completed. One issue lies in the proportion of risk NVIDIA commits to bear: if the collateralized GPUs depreciate causing loan losses, NVIDIA bears a maximum of 25% of the risk per transaction, but some clients and Wall Street partners hope to increase this protection ratio.

In contrast, competitor Broadcom has provided stronger guarantee support for Anthropic-related debt transactions. Reports indicated that in May this year, Broadcom provided a $30 billion guarantee for a $35 billion debt transaction for Anthropic, and another guarantee of approximately $43 billion for a $63 billion transaction.

This highlights the reality of the AI financing market: even if capital remains willing to flow in, lenders are becoming more concerned about collateral value, risk sharing, and who bears the losses in case of default.

Additionally, Australian AI cloud service provider Firmus withdrew its IPO in October this year, and CoreWeave's Euro bonds were once traded at about 80% of their face value, reflecting that the financing environment for some AI infrastructure providers is already under pressure.

Sunaina Sinha Haldea, Global Head of Private Capital Advisory at US financial services company Raymond James, pointed out that Jensen Huang's departure gives the market reason to re-examine transaction terms. She believes that capital will not withdraw entirely, but lenders may demand higher returns and more strictly verify who ultimately bears the risk.

###### Neoclouds Hit First as AI Financing Costs Likely Rise

If NVIDIA tightens its financial support, emerging cloud service providers and data center operators may be the most directly affected.

These companies rely on NVIDIA GPUs to build data centers, which they then rent out to AI companies for compute power. Since some of these companies have weaker credit profiles, they often struggle to obtain lower-cost financing without guarantees from large enterprises.

Once NVIDIA reduces its credit support, lending institutions may raise interest rates, require more collateral, or even re-evaluate existing transactions. Emerging cloud providers may then be forced to delay GPU purchases, slow down data center construction, or renegotiate compute leasing contracts.

This pressure could also spread along the industry chain, further affecting chip suppliers, server manufacturers, memory companies, and data center power equipment suppliers.

The market is also concerned that if GPU prices fall, the value of related collateral could shrink, thereby affecting the debt-servicing ability of borrowing companies. The structure where AI companies and tech giants provide mutual financial support could transform from a growth driver into a source of credit risk during a market reversal.

However, analysts generally believe this does not mean the AI industry is about to experience a financial crisis similar to 2008. Sheila Bair, former Chair of the US Federal Deposit Insurance Corporation (FDIC), pointed out that unlike troubled banks, NVIDIA still possesses products that customers are willing to buy and substantial equity value; however, regulators must closely monitor the risk exposure of banks and the financial system to NVIDIA and related enterprises.

Jason Wu, an analyst at the International Monetary Fund (IMF), also warned that the continuous increase in leverage by AI companies and investors could cause the real economy and financial markets to become overly dependent on a single growth pillar. Once the AI investment boom reverses, corporate operations and financial asset prices could drag each other down, amplifying market shocks.

###### AI Industry Chain Reshuffle: AMD, Broadcom, and Others May Benefit

Despite the uncertainty surrounding NVIDIA's financing strategy, the market has not turned broadly bearish on the AI industry. Some investors instead believe that management changes could bring opportunities for competitors.

As customers begin to re-evaluate their chip procurement structures, AMD, Broadcom, and other developers of self-designed AI chips may have the chance to secure more orders. Patrick Moorhead, CEO of Moor Insights & Strategy, believes that Broadcom, Intel, and other startups have the capability to fill part of the market space NVIDIA might leave behind.

Angelo Zino, Head of Technology Research at CFRA, also pointed out that capital expenditure commitments from hyperscale cloud providers through 2027 still provide near-term growth support for the AI industry, so Jensen Huang's departure may not necessarily change the overall AI demand trend.

However, not every link in the industry chain will benefit from NVIDIA's turmoil. Memory companies and other hardware suppliers still heavily rely on NVIDIA's product roadmap, GPU deployment speed, and data center construction progress. If investment and procurement plans are delayed, demand for key components like high-bandwidth memory could also be impacted.

In other words, while demand for AI compute power may not disappear, capital may be reallocated, and the competitive landscape among companies could change accordingly.

###### Next Week's Earnings Report Becomes First Major Test for New Leadership

NVIDIA's next important market test is its third-quarter earnings report, scheduled for release on November 17 US Eastern Time. This will also be a crucial moment for the new leadership team to explain the company's operational direction, capital allocation, and financing policies to the market.

In addition to focusing on revenue, profit, data center business growth, and the delivery progress of the Blackwell series products, investors will closely question the latest progress on the $500 billion financing platform and whether NVIDIA will continue to play the role of financial supporter for the AI industry.

For the entire AI industry, the challenge brought by Jensen Huang's departure is no longer just a change in leadership at a single company, but whether NVIDIA can continue to integrate technology, capital, and industry resources without the founder's personal influence.

Demand for AI computing is still growing, but whether the financial network supporting this investment boom can continue will be a key factor for the market to re-evaluate the value of the AI industry in the coming period.

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---
> **Disclaimer: This article is for reference only and does not constitute any investment advice.**