The AI sector frequently sees circular financing arrangements, where investors are also customers or suppliers. Examples include OpenAI receiving funding from Microsoft and then spending it on Microsoft's servers, or Nvidia supporting CoreWeave's debt, leading CoreWeave to purchase Nvidia GPUs. These arrangements have drawn comparisons to the dot-com bubble's circular investments.
Instead of signaling an impending market collapse, these circular deals suggest a shift in the nature of AI itself. AI compute capacity is evolving from a product-based business model to a fungible commodity, similar to electricity, natural gas, or other raw materials. This commodification implies that intelligence is becoming readily available and its underlying financial system is adapting accordingly.
In traditional commodity industries, developing complex infrastructure like mines or refineries involves significant costs that can strain a bank's solvency. Circular deals, often involving multiple customers, beneficiaries, and even governments, are frequently the only way to finance such large-scale projects. These deals guarantee revenue streams, making projects more attractive to lenders and bond buyers.
Understanding how major investments work in traditional commodity markets provides a framework for analyzing the trajectory of AI. While some circular deals in AI are healthy and reflect this commodification, others may not adhere to this analogy and could introduce risks for companies, investors, or the broader sector.
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The prevalence of circular financing and customer relationships in the AI industry, such as OpenAI's funding from Microsoft and CoreWeave's debt backstopped by Nvidia, suggests that AI compute capacity is becoming a commodity. This trend mirrors financing structures seen in traditional commodity markets, where large infrastructure investments often require complex, multi-party deals to mitigate risk and ensure development.