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A significant portion of AI industry revenue is illusory, consisting of circular payments. For instance, NVIDIA invests in a company like OpenAI, which then uses the funds to buy NVIDIA's chips. This creates the appearance of strong revenue growth while masking the industry's financial fragility.
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.
Major cloud providers like Amazon are making multi-billion dollar investments in AI startups like Anthropic, which then commit to spending that money back on the provider's cloud services. This "circular" financial arrangement locks in future revenue and inflates growth metrics with non-organic activity.
Current AI investment patterns mirror the "round-tripping" seen in the late '90s tech bubble. For example, NVIDIA invests billions in a startup like OpenAI, which then uses that capital to purchase NVIDIA chips. This creates an illusion of demand and inflated valuations, masking the lack of real, external customer revenue.
It's increasingly difficult to gauge the true profitability of cloud businesses due to circular investments. Tech giants invest in AI startups, which then use that capital (often in the form of cloud credits or vouchers) to pay for compute on the investor's platform, inflating reported revenue growth without a corresponding cash transaction.
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.
Major cloud providers invest billions in AI labs like Anthropic and OpenAI, who then commit to spending those billions back on the providers' cloud services. This circular flow significantly inflates revenue backlogs, raising questions about whether the growth is sustainable or symptomatic of an AI bubble.
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.
A circular economy is forming in AI, where capital flows between major players. NVIDIA invests $100B in OpenAI, which uses the funds to buy compute from Oracle, who in turn buys GPUs from NVIDIA. This self-reinforcing loop concentrates capital and drives up valuations across the ecosystem.
Large tech firms invest in AI startups who then agree to spend that money on the investor's services. This creates a "circular" flow of cash that boosts the startup's perceived revenue and the tech giant's AI-related sales, creating questionable accounting.
When capital flows in a circle—a chipmaker invests in an AI firm which then buys the investor's chips—it artificially inflates revenues and valuations. This self-dealing behavior is a key warning sign that the AI funding frenzy is a speculative bubble, not purely market-driven.