Nvidia’s Self-Financing Loop: Labs It Funds Now Make Up a Quarter of Next Year’s Revenue
Nvidia’s Chief Financial Officer Colette Kress dropped a bombshell on the earnings call that most folks weren’t ready for. She admitted that roughly 25% of the company’s business next year will come directly from AI labs that Nvidia itself is financing. Yeah, you read that right — bro, this is a circular money flow. When people ask what is AI and why the tech world moves so fast, scenes like this are exactly why. Big players are funding the very customers buying their chips.
Kress brought up the topic proactively before any analyst even asked about it. That’s unusual, yaar. It shows Nvidia knows the optics are tricky and wanted to get ahead of the question straight away. The company’s revenue engine runs on massive data centre builds, and these AI labs are both partners and clients simultaneously. Some observers worry this setup could inflate numbers artificially. Others say it just proves how hungry everyone is for AI models right now that the old rules don’t apply yet.
The full picture here involves huge sums moving between Nvidia, startups, and research labs across the globe. It’s basically a feedback loop where Nvidia lends cash, those labs spend it on Nvidia GPUs, and the cycle keeps spinning. Full send on growth, sure, but dekh — this kind of arrangement needs careful watch. If lab budgets dry up or training costs shift, that revenue stream could wobble fast.
- Nvidia is now both supplier and banker to its own customers. That circular dependency means revenue projections tied to financed labs carry more risk than pure third-party orders would.
- Colette Kress raising the issue first is a signal. It suggests Nvidia is feeling pressure around transparency and wants to control the narrative before regulators or investors push harder on the financing side of things.
- A quarter of next year’s business sitting inside this loop is no small thing. Any slowdown in AI lab spending or changes in how tokens and compute are priced could hit Nvidia’s top line much faster than expected.