Frank Curzio
Founder & CEO of Curzio Research, Wall Street Unplugged Host
Nvidia's funding of future customers in Germany further blurs how much chip demand it paid for itself. Jensen Huang said Nvidia invested almost $1B there in the last year and is investing in four more companies this week; German taxpayers are helping too. Finding buyers beyond Big Tech is smart, but the more sales come back from Nvidia's own checks, the harder genuine demand is to gauge. x.comÂ
Nvidia's chip sales face a greater threat from customers' borrowed money than from the hypothetical AI safety cutoff. CoreWeave's bonds reached a record 14.5% yield, pointing to weak AI buying power. Jensen Huang told Bloomberg Nvidia would stop supplying a lab building something too dangerous, but named no company or cutoff trigger and said a conversation would come first. x.comÂ
Nvidia's neocloud orders increasingly require its own credit support. Per The Information, it is in talks to guarantee billions of Nscale debt for a 460MW data center; Nscale needs an IPO to fund $24B in Nvidia systems committed for 2026-27. Separately, a quoted article says US officials identified Alice Huang, scrutinized for possibly routing Nvidia chips to China, as a Chinese intelligence asset with direct access to Jensen Huang. This is just the tip of a very big iceberg. x.com x.com x.comÂ
Nvidia's AI profits are real, but its compute demand depends heavily on fragile venture funding. Per Chamath, 1% of firms account for 90% of AI spending, and 72 cents of each dollar comes from unprofitable VC-backed firms. Venture money passes through startups to Nvidia and cloud suppliers; if the next raises fail, concentrated orders could contract together. x.com x.com x.comÂ
Nvidia retains pricing power if its full system keeps reducing customers' cost per effective AI task. Strong AI demand alone does not ensure profits across the chain: rising chip, memory and optical costs burden buyers, while tighter financing and slow collections threaten operators. Large customers developing their own chips could pressure Nvidia's margins even as the market grows. x.comÂ
Antitrust scrutiny of Nvidia's Hugging Face deal puts the duration of its AI-stack valuation at risk. Per Reuters, the DOJ is probing the roughly $13 billion deal. The near-term tests are whether it faces an unwind, conditions or delay, and how labs price dependence if model hubs concentrate under the same chip vendor. x.comÂ
Low Anthropic spending relative to customer expenses points to an enterprise AI adoption gap that leaves Nvidia reliant on intermediaries able to build their own chips. Anthropic's S-1 says over half the Fortune 500 were $100k+ annual customers as of September, yet spending among its publicly traded customers averaged under 0.1% of expenses in Q3 2026. That measures one provider and cannot show whether AI deployments succeed; Nvidia needs more enterprises buying its compute directly. x.comÂ
Nvidia gets paid for AI infrastructure while the companies funding AI buildouts bear the spending. Alongside Apple's edge hardware business, Nvidia's position as a supplier distinguishes it from the AI spenders that are losing to companies collecting the cash. x.comÂ
Guaranteeing AI data-center debt could eventually leave Nvidia unable to obtain financing. Per The Information, Nvidia is in talks to provide billions in guarantees on Nscale debt to develop a 460-megawatt data center; one day, its card may read "Denied!" x.comÂ
Buyer-funded expansion at Ibiden signals a real substrate shortage, with added supply only starting in early 2028. Per an Nvidia press release quoted by paurooteri, Nvidia is providing billions upfront to reserve capacity at Ibiden's Ohno plant, aiming to triple output. Micron's customers similarly prepaid to lock memory supply. x.comÂ
Nvidia's hardware demand depends on customers raising capital, putting real-money chip sales at risk. Last September Nvidia signed a letter of intent to invest up to $100 billion in OpenAI in stages as OpenAI buys its systems. The toll collector is lending the driver money for the toll. Stephen Witt credits Nvidia's CUDA moat to labs' reluctance to rewrite their code. x.com x.com x.com x.comÂ
Nvidia's equity-investment book makes earnings vulnerable to an AI valuation downturn even if GPU sales hold up. Private and public stakes totaled about $99bn, or 31% of assets, in July; gains were $15.9bn in April and $7.8bn in July. Private holdings are marked on observable transactions or impairments, so losses could arrive in lumps. Nvidia generated about $127bn of free cash flow over four quarters, and the filing does not split private stakes by sector. x.com x.comÂ
