--- title: "Circular Financing Mechanism Observed Among Leading AI Companies" url: https://newscentral.site/circular-financing-mechanism-observed-among-leading-ai-companies/ language: en publisher: "News Central Site" section: "Science" published: 2026-10-19T00:30:01.000Z updated: 2026-10-20T11:59:10.152Z id: 132bebf0-f1f7-4a43-addc-823b0bca4e04 source: "Phys.org https://phys.org/news/2026-10-paying-circular-money-machine-ai.html" attribution: "Link to https://newscentral.site/circular-financing-mechanism-observed-among-leading-ai-companies/ and name News Central Site when you quote or summarize this story." --- # Circular Financing Mechanism Observed Among Leading AI Companies A complex web of financial relationships has emerged within the artificial intelligence (AI) industry, raising questions about the true nature of its growth. Many AI companies have adopted a unique financing model that blurs the lines between supplier, investor, and customer. In this model, chip suppliers invest in data center builders, who then use those funds to purchase chips from the same suppliers. Both parties report increased revenue as a result, creating an appearance of growth without necessarily indicating genuine demand for their products or services. This circular financing mechanism has been observed among leading AI companies such as Microsoft, Amazon, Google, and Nvidia. An analysis by a central bank found that more than half (55.2%) of investments in AI firms come from other AI companies themselves, further complicating the issue. While this may indicate a surge in innovation within the industry, it also raises concerns about the sustainability of its growth. The involvement of leading chipmaker Nvidia is particularly noteworthy, as it has invested in ChatGPT owner OpenAI to support data centers that rely heavily on Nvidia's own chips. This creates a self-reinforcing cycle where both companies benefit from each other's success, making it challenging for outsiders to determine the true drivers behind the AI boom. Nvidia's investments in various AI companies have reached unprecedented levels, with over 50 deals made in 2024 alone. The chipmaker has invested heavily in OpenAI, providing a guarantee of up to $105 billion for an OpenAI data center in Ohio, as well as investing $30 billion in a private funding round for the company. This significant investment helps maintain OpenAI's status as Nvidia's largest customer, creating a self-sustaining relationship. However, it also raises questions about whether Nvidia is propping up the market through its investments. The chipmaker has a vested interest in the success of these companies, which use its technology to build AI factories. Nvidia's financial support extends beyond OpenAI, with significant investments in other firms such as Anthropic, developer of the popular AI model Claude. The company has also invested $2 billion in cloud provider CoreWeave, aiming to accelerate the development of AI factories that rely on Nvidia technology. The sheer volume and scope of Nvidia's investments have contributed significantly to the rapid growth of the AI industry. However, this phenomenon also creates a complex web of relationships between companies, making it challenging to determine the true drivers behind the AI boom. The complex web of relationships between companies involved in the AI sector has led to a concentration of risk. This interconnectedness makes it challenging to pinpoint the true drivers behind the boom. As a result, trouble at one firm can quickly spread to others. Nvidia's multifaceted role as investor, supplier, and financier across the AI sector has raised concerns about valuations. The company's influence extends far beyond its own products, making it difficult to assess the financial stability of other companies in the sector. This situation creates a ripple effect that can have far-reaching consequences. The opaque funding arrangements used by some AI companies have also come under scrutiny. For instance, OpenAI has faced criticism over its revenue reporting methods, which may have exaggerated its earnings. The company's shares took a hit when it was revealed that its annualized revenue was significantly lower than initially suggested. Some experts warn that the AI bubble could burst if sentiment shifts towards the sector. This is particularly concerning given the significant contribution of AI companies to the US stock market's gains in 2026. Chipmakers, including Nvidia, have driven around 70% of the total gains for the S&P 500 index, with Nvidia now accounting for nearly 8% of the index. The AI boom's financial underpinnings have created a fragile market situation. If investors begin questioning whether OpenAI and similar customers can generate sufficient revenue from their users to meet their commitments, Nvidia would face a double blow: reduced sales expectations and increased exposure to financing risks tied to those same companies. This potential downturn could have far-reaching consequences for the broader market, as Nvidia's significant weighting in key indices makes it a major contributor to overall performance. The impact would likely be felt globally, with Australian households particularly exposed due to their substantial holdings of U.S.-based AI stocks through retirement funds. While this does not necessarily imply that the AI boom is entirely unfounded, timing becomes a critical issue. Nvidia, OpenAI, and Firmus are banking on future revenue growth from users and businesses to offset the massive investments currently being made in data center infrastructure. Until then, investors, lenders, and companies are filling the financing gap through complex interconnections. The parallels with the 1990s telecom boom are striking. In that era, equipment manufacturers like Cisco Systems extended credit to customers to purchase their products, only to find themselves overwhelmed by excess capacity when the market eventually corrected. This episode serves as a cautionary tale about the dangers of over-optimism and under-regulation in emerging technologies. The rapid development of artificial intelligence (AI) has led to a surge in demand for specialized chips that power AI systems. However, these cutting-edge chips have a surprisingly short lifespan, lasting only a few years before they become outdated. This limited shelf life creates a precarious situation where shareholders and investors may bear the financial burden if the expected revenue and demand from businesses and consumers fail to materialize or fall short of projections. The AI boom has created a complex web of relationships between technology companies, investors, and consumers, raising questions about who ultimately bears the risks and costs associated with emerging technologies. --- Source: [Phys.org](https://phys.org/news/2026-10-paying-circular-money-machine-ai.html) Published by News Central Site: https://newscentral.site/circular-financing-mechanism-observed-among-leading-ai-companies/