Nvidia has committed more than $40 billion to equity investments in artificial intelligence companies during the first five months of 2026, according to data compiled by CNBC and FactSet. The bulk of that figure comes from a single $30 billion investment in OpenAI, but the chipmaker has also announced seven multi-billion-dollar stakes in publicly traded companies this year.
A concentrated bet on AI infrastructure
Recent deals include up to $3.2 billion in glass manufacturer Corning and up to $2.1 billion in data center operator IREN. These investments extend Nvidia’s pattern of placing large bets on companies that either supply the AI ecosystem or directly consume its graphics processing units.
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In 2025, Nvidia participated in 67 venture deals targeting AI startups. This year, it has already joined roughly two dozen funding rounds for private companies, according to FactSet data cited by CNBC. The pace suggests Nvidia is deepening its role as both the dominant hardware supplier and a primary financial backer of the AI industry.
Circular investment concerns
The strategy has drawn criticism from some analysts who describe it as a circular investment model. The concern is that Nvidia invests in companies that, in turn, spend much of that capital on Nvidia’s own chips and infrastructure, creating a closed loop of capital that inflates valuations without necessarily generating independent returns.
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Wedbush Securities analyst Matthew Bryson acknowledged that Nvidia’s investments fall “squarely into the circular investment theme,” but suggested the approach could help the company build a “competitive moat” if the underlying companies succeed. By tying key customers and suppliers closer through equity stakes, Nvidia may secure long-term demand for its products while limiting rivals’ access to the same ecosystem.
What this means for the broader AI market
Nvidia’s aggressive investment strategy signals that the company sees sustained, long-term growth in AI infrastructure spending. It also raises questions about market concentration. If Nvidia controls both the dominant hardware platform and significant equity in major AI players, regulators may eventually scrutinize whether these arrangements stifle competition.
For now, the strategy appears to be paying off. Nvidia’s data center revenue continues to grow, and its equity portfolio provides additional financial upside if portfolio companies go public or are acquired at higher valuations.
Conclusion
Nvidia’s $40 billion commitment in just five months underscores its determination to shape the AI industry beyond simply selling chips. While circular investment concerns persist, the company’s strategy appears designed to lock in long-term demand and create barriers for competitors. The coming quarters will show whether these bets generate the returns Nvidia expects, or whether the circular nature of the investments introduces new financial risks.
FAQs
Q1: How much has Nvidia invested in AI companies in 2026?
Nvidia has committed over $40 billion to equity AI deals in the first five months of 2026, including a $30 billion investment in OpenAI and several multi-billion-dollar stakes in public companies.
Q2: What is the circular investment criticism against Nvidia?
Critics argue that Nvidia invests in companies that then use that capital to buy Nvidia’s own chips and services, creating a closed loop that may inflate valuations without reflecting independent market demand.
Q3: Which companies has Nvidia invested in recently?
Recent public company investments include up to $3.2 billion in Corning and up to $2.1 billion in data center operator IREN. Nvidia has also participated in roughly two dozen private startup rounds in 2026.
