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The bull narrative for Nvidia is simple: demand massively outpaces supply, and will for years to come.
But that's hard to square with the flood of circular-financing deals. In just the past few days:
* [Nvidia is in talks to guarantee \~$250B of financing for an OpenAI data center](https://finance.yahoo.com/technology/ai/articles/nvidia-talks-openai-guarantee-250-233930971.html), plus separately finance up to \~$350B of OpenAI's chip purchases.
* [Nvidia quietly signed leases worth up to $50B for an entire Texas data center](https://www.ft.com/content/685014e7-47dd-471b-a585-1b9b73ce5d6f?syn-25a6b1a6=1) (Hut 8) to house its own chips and lock up the power. Hut 8's bonds got an investment-grade rating *because of* the Nvidia lease.
And these are just the newest. They sit on top of Nvidia's \~$42B book of private stakes in the very companies whose main business is buying Nvidia chips: CoreWeave, Nebius, OpenAI, xAI, plus Lambda, Crusoe, Nscale and a long list of other neoclouds.
A genuine seller's market never has to finance its own buyers. If demand were really unlimited at the price, Nvidia would sell a weak customer's allocation to the next name in line and let the weak one wait. Instead, Nvidia is turning around and manufacturing new demand, propping up players that can't stand on their own credit to backfill a base that's walking away.
Because Nvidia's demand is dangerously concentrated, and that base is already planning its exit. Straight from its most recent 10-Q, in Nvidia's own words: *"three direct customers represented 21%, 17%, and 16% of total revenue."* That's 54% of the entire company from three buyers, and that's *before* OpenAI, which Nvidia flags separately as a material indirect customer routed through the clouds, pushing effective concentration toward 65-70%.
Who are the three? Nvidia won't say, but almost certainly a pick of the hyperscalers: Microsoft, Meta, Amazon, Google. Strip it further and the heaviest Nvidia demand traces to two model-builders: OpenAI and Meta. So Nvidia's revenue rests on a few big buyers, and the growth behind them on a couple of labs.
Now the real problem. Every one of those concentrated customers is building a way off Nvidia:
* Google has its TPUs (Gemini doesn't even train on Nvidia)
* Amazon has Trainium (Anthropic's biggest deployment runs on it)
* Microsoft has Maia
* Meta has MTIA and is buying AMD
* OpenAI is designing its own chip with Broadcom and buying AMD
* Anthropic already runs on four silicon vendors and plays them against each other
Everyone and their cousin has custom silicon now. Nobody spends billions building a second and third source for a supplier they mean to depend on forever. Building the exit is what you do when you plan to leave.
And Anthropic, arguably the frontrunner in the AI race, is *already* mostly off Nvidia, training on Google's and AWS's chips. That alone shows you don't need Nvidia to get frontier results.
The worst part: none of this is new. It's the Cisco playbook from the dot-com bubble. In 1999-2000, Cisco, Lucent and Nortel propped up the last leg of the telecom boom by lending customers the money to buy their gear. The internet still won. Cisco still fell \~85% and didn't make a new high for two decades. Vendor financing shows up at the top, not the bottom, because it's what you do when organic demand at your price runs out.