Nvidia Equity Investments Surge to $99bn as AI Chip Giant Finances Its Own Customers

Reviewed byNidhi Govil

2 Sources

Share

Nvidia equity investments reached $99bn in July 2024, up from just $2.2bn two years earlier. Roughly half sits in private AI companies that buy its chips, including a $30bn stake in OpenAI. While Nvidia calls it a growth flywheel, critics like Michael Burry warn the chip giant is overreaching by financing its own customers.

Nvidia Equity Investments Explode to $99bn in Two Years

Nvidia equity investments have surged to $99bn as of July 2024, marking a dramatic escalation in the chip giant's financial strategies beyond AI chip manufacturing

1

. The figure represents a fourteenfold increase from approximately $7bn a year earlier and a forty-fivefold jump from $2.2bn two years prior

1

. This aggressive expansion positions Nvidia not just as a hardware provider but as a major financial stakeholder across the AI ecosystem. The company has committed more than $40bn to financing deals during 2026 alone, with a further $25bn in investment commitments still outstanding

1

.

Source: Financial Review

Source: Financial Review

Roughly $48bn of Nvidia's portfolio sits in publicly traded stocks and marketable securities, while another $48bn resides in private companies and non-marketable holdings that cannot be easily liquidated

1

. About $3bn is held in equity-method investments

1

. Among disclosed positions as of June 30, Nvidia held $30bn in Intel from an initial $5bn investment, $21bn in SpaceX, and stakes worth $2bn to $5bn each in CoreWeave, Coherent, Synopsys and Nokia

1

.

Nvidia's AI-Focused Investment Strategy: Funding the Buyers

Chief Financial Officer Colette Kress revealed that Nvidia has deployed nearly $50bn into frontier AI labs, with the largest single commitment being $30bn into OpenAI as part of that company's $110bn funding round in February

1

. This strategic positioning in frontier AI labs reflects Nvidia's approach to cultivating demand for its products at the source of AI innovation. Cloud providers building AI infrastructure investments have also received significant capital. CoreWeave secured $2bn in January, while Nebius received a similar amount in March

1

. Nokia took $1bn, and since March, the company has committed at least $6.5bn to photonics and optical firms including $2bn each to Lumentum, Coherent and Marvell

1

.

The investment pace continues accelerating. In a single week, Nvidia confirmed its $12.93bn acquisition of Hugging Face, backed Nscale's pre-IPO round, and entered talks to supply roughly half the capital for a $6bn raise at Thinking Machines Lab

1

. In mid-August, Nvidia agreed to provide a backstop worth up to $105bn for a massive data center in Ohio that will use its chips

2

. These moves span the entire AI value chain from chip platforms to cloud infrastructure to model development labs.

The Flywheel Explanation: Financing Its Own Customers

Nvidia frames its strategy as a self-reinforcing flywheel that powers growth across the AI ecosystem. Kress explained on earnings calls that frontier labs have extraordinary compute demand but outgrow their balance sheets and credit profiles, making it impossible to secure AI factory infrastructure alone

1

. By injecting capital, Nvidia enables these startups to purchase tens of thousands of its GPUs, according to Forrester analyst Naveen Chhabra

1

.

Ian Fogg of CCS Insight notes that while equity investments help companies innovate, they also give Nvidia influence over whether that AI innovation takes an Nvidia-shaped path

1

. The optics investments illustrate this logic at the component level. Chhabra argues that funding Coherent and similar firms keeps their tooling and design work optimized for Nvidia's architecture, raising switching costs and defending the CUDA software moat against AMD and custom chips that cloud providers are building themselves

1

.

Central Bank of AI or Overreaching Giant?

Critics view Nvidia's role as the central bank of AI with growing concern. Michael Burry, famous for shorting the mortgage market before the 2008 crisis, says Nvidia is overreaching by financing and investing in customers for its own chips

1

. Mark Cuban has called it "truly scary" how much the AI boom now depends on Nvidia funding "everyone and anyone"

1

. Some observers compare Nvidia's billions in customer financing to 1990s telecom gear makers, warning of massive losses if artificial intelligence demand cools down

2

.

The structure creates a circular dependency where Nvidia finances the companies that buy its products. However, CoreWeave's case offers a counterpoint. When CoreWeave received its $2bn investment, the company stated proceeds would fund land, power, infrastructure, research and hiring rather than purchasing Nvidia chips

1

. Money arriving as equity doesn't automatically return as an order, suggesting the relationship may be more nuanced than critics claim.

Nvidia's Valuation and Market Dominance

Source: The Next Web

Source: The Next Web

The investment strategy accompanies extraordinary financial performance. Nvidia reported $96.2bn in revenue during its fiscal second quarter, up 106% year-over-year, with net income reaching $59.7bn

1

. The equity portfolio now equals roughly the company's quarterly revenue. It took Nvidia 30 years to reach a $1 trillion valuation, only nine more months to hit $2 trillion, and less than two years after that to pass $5 trillion

2

. The company is now the world's most valuable, worth approximately $5.4 trillion, with sales expected to nearly double next year and some analysts predicting $1 trillion in annual revenue by 2029

2

. Whether this growth trajectory proves sustainable or mirrors past technology bubbles remains the critical question facing investors and the broader AI industry.

Today's Top Stories

© 2026 TheOutpost.AI All rights reserved