Nvidia is pouring tens of billions of dollars into the companies that buy its chips, raising questions about whether the artificial intelligence boom is genuinely organic or propped up by the chipmaker's own balance sheet. In 2026 alone, the company has already committed more than $40 billion in equity investments, a dramatic acceleration from its $17.5 billion in private company investments during the previous fiscal year.

What Is Nvidia's Circular Investment Strategy?

Nvidia's approach is straightforward in concept but controversial in practice: invest in companies that need its products, then those companies turn around and purchase Nvidia's graphics processing units (GPUs) and infrastructure. This week alone, Nvidia agreed to invest up to $3.2 billion in glass maker Corning and $2.1 billion in data center operator IREN, continuing a pattern that has defined the company's 2026 strategy.

The strategy has proven remarkably lucrative. Nvidia's $5 billion bet on Intel, made last year, is now worth over $25 billion, a historic return in just months. This success has emboldened the company to expand its portfolio aggressively, moving beyond private startups to include major publicly traded companies.

The deals themselves often include commitments that tie the investments directly to Nvidia's technology. The IREN agreement, for example, includes a provision that the data center company will deploy up to 5 gigawatts of Nvidia's DSX-branded infrastructure designs across facilities globally. Similarly, Corning is building three new U.S. facilities dedicated to optical technologies for Nvidia, which will use fiber-optic cables instead of copper in rack-scale systems.

How Is Nvidia Structuring These Investments Across the AI Supply Chain?

Nvidia's investment portfolio spans multiple layers of the artificial intelligence infrastructure ecosystem. The company has signed at least seven multibillion-dollar investments with publicly traded companies in 2026 and participated in roughly two dozen investment rounds in private companies, including some relatively early-stage deals.

• Foundation Model Companies: Nvidia's largest single bet is a $30 billion investment in OpenAI, the creator of ChatGPT. The company also invested in Anthropic and Elon Musk's xAI before it merged with SpaceX in February.
• Component and Technology Makers: In March, Nvidia invested $2 billion in Marvell Technology for silicon photonics work, and the same amount in each of Lumentum and Coherent, two companies developing photonics technologies.
• Cloud Infrastructure Providers: Nvidia invested $2 billion in CoreWeave in a deal involving data center buildouts with Nvidia technology, and $2 billion in Nebius Group for AI infrastructure deployment and fleet management.

Nvidia CEO Jensen Huang explained the rationale during an April podcast appearance, stating that the company aims to support the entire ecosystem without picking winners. "There are so many great, amazing foundation model companies, and we try to invest in all of them," Huang said. "We don't pick winners. We need to support everyone".

Jensen Huang

"Our investments are focused very squarely, strategically on expanding and deepening our ecosystem reach," Huang said on Nvidia's last earnings call in February.

Jensen Huang, CEO at Nvidia

Why Are Analysts Concerned About This Strategy?

While some experts view Nvidia's investments as a smart way to accelerate critical technology development, others worry the strategy resembles vendor financing that inflated the dot-com bubble. The concern centers on whether demand for Nvidia's products is genuinely driven by customer needs or artificially supported by Nvidia's own capital.

Chip analyst Jordan Klein at Mizuho praised Nvidia's investments in component makers like Corning and Marvell as "super smart" uses of cash that accelerate the development of products in short supply. However, Klein expressed skepticism about the neocloud investments, which he described as feeling "more questionable" and potentially like "pre-funding the purchase of your own GPUs and products".

"The risk is that if the cycle turns, the market starts questioning how much of the demand was organic versus supported by Nvidia's own balance sheet," Ben Bajarin, analyst at Creative Strategies, told CNBC regarding the IREN investment.

Ben Bajarin, Analyst at Creative Strategies

Matthew Bryson, an analyst at Wedbush Securities, acknowledged that Nvidia's investments fit "squarely into the circular investment theme" that has driven concerns about market durability. However, Bryson sees the investments as underscoring Nvidia's vision and creating a "competitive moat" if the company can execute successfully.

How Large Is Nvidia's Investment Portfolio?

The scale of Nvidia's financial commitments is staggering. Non-marketable equity securities, which represent private company investments, swelled to $22.25 billion on Nvidia's balance sheet at the end of January, up from $3.39 billion a year earlier. The company also reported gains on those assets and publicly held equities of $8.92 billion, compared to $1.03 billion in the prior fiscal year, largely due to the Intel investment surge.

Nvidia generated $97 billion in free cash flow during its last fiscal year, providing substantial firepower for these investments. The company has the financial capacity to continue this strategy even if some investments underperform, though the concentration of capital in companies that depend on Nvidia's technology raises structural questions about the sustainability of the current artificial intelligence boom.

With Nvidia's earnings report for its fiscal first quarter coming within weeks of these announcements, shareholders will gain a clearer picture of the expanding portfolio's size and financial impact. The company's ability to generate returns on these investments while maintaining its core chip business will likely determine whether this strategy becomes a template for other technology giants or a cautionary tale about overextension.