A key red flag in the AI sector is circular financing, where a company like NVIDIA invests in a startup that then uses the funds to purchase NVIDIA's products. This creates a closed loop that can artificially inflate revenue and demand metrics, a tactic reminiscent of the dot-com bubble.

Amazon is investing billions in OpenAI, which OpenAI will then use to purchase Amazon's cloud services and proprietary Trainium chips. This vendor financing model locks in a major customer for AWS while funding the AI leader's massive compute needs, creating a self-reinforcing financial loop.

The AI ecosystem appears to have circular cash flows. For example, Microsoft invests billions in OpenAI, which then uses that money to pay Microsoft for compute services. This creates revenue for Microsoft while funding OpenAI, but it raises investor concerns about how much organic, external demand truly exists for these costly services.

A new AI investment model involves tech giants like Microsoft funding labs like Anthropic, which then spend more on the investors' cloud platforms. This self-referential 'circularity' is now viewed with suspicion by public markets, causing share prices to drop—a stark reversal from the initial hype that surrounded OpenAI's partnerships.

Companies like NVIDIA invest billions in AI startups (e.g., OpenAI) with the understanding the money will be spent on their chips. This "round tripping" creates massive, artificial market cap growth but is incredibly fragile and reminiscent of the dot-com bubble's accounting tricks.

Gurley flags deals where tech giants invest in AI startups with credits for their own services. The startup's use of these credits is then booked as revenue by the investor. This practice inflates revenue without any actual cash changing hands, a tactic that was compared to Enron's accounting.

The massive OpenAI-Oracle compute deal illustrates a novel form of financial engineering. The deal inflates Oracle's stock, enriching its chairman, who can then reinvest in OpenAI's next funding round. This creates a self-reinforcing loop that essentially manufactures capital to fund the immense infrastructure required for AGI development.

Massive investments, like Amazon's potential $50 billion into OpenAI, are not simple cash infusions. A large portion is structured as compute credits, meaning the money flows back to the investor's cloud services (e.g., AWS). This model secures a long-term, high-volume customer while financing the AI lab's operations.

The current trend of AI infrastructure providers investing in their largest customers, who then use that capital to buy their products, mirrors the risky vendor financing seen in the dot-com bubble. This creates circular capital flows and potential systemic risk.