Colin Tedards
Founder of The Investor Channel & Equity Empire
NVIDIA loses from the current AI drama because it is the king of frontier AI training, and a real slowdown would hurt it. As Elon Musk, Dario Amodei and Sam Altman pivot to warning that AI could kill people, AI, already polling badly, will struggle to attract the investment it was getting. If that money dries up, labs with no business model beyond AGI are cooked, and Broadcom, Marvell and Micron lose too. x.comÂ
Nvidia's edge includes Jensen Huang locking up TSMC capacity, so challengers like Etched will struggle to reach volume production. Michael Burry calls Etched serious competition, citing its 44 days from TSMC test chips to running inference and its hiring of about a dozen Nvidia engineers. But when Etched asks for volume production, TSMC will have a slot ready in four years. x.com x.comÂ
Nvidia faces risks on both sides of the AI cycle. Vendor financing is a concern at the center of the buildout: strong AI sentiment brings competition, while weaker sentiment brings a slowdown. That makes it the largest holding of greatest concern. 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 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
Rising Chinese competition and doubts about valuations add to Nvidia's downside risk as the AI sector bleeds. Nvidia's break from an uptrending triangular pattern rarely ends well; the AI bubble is cracking, and the trendline break marks the beginning of something much bigger. x.comÂ
Nvidia may be left to bail out AI labs because political and hyperscaler support looks exhausted. Trump's tech policy, perceived cronyism and lack of public benefit leave little appetite for a government rescue, while his deficit capacity has already been used and hyperscalers have spent their money. 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
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
CoreWeave, Nebius, Oracle and IREN cannot count on Nvidia to absorb their debt risk because its AI funding creates no obligation to rescue them. If the AI trade unwinds and they become desperate for cash, their assets could become acquisition targets at a fraction of peak valuations; Nvidia might acquire them cheaply instead of bailing them out. x.com x.comÂ
Nvidia's cash could have more value invested in AI companies with strong demand but too little capital to scale, especially neoclouds that can execute. Their valuations look very attractive now, making equity stakes preferable to more buybacks or dividends despite criticism of circular deals. SpaceX may need the money less because it is already very big. x.com x.com x.comÂ
Nvidia faces growing doubt over how much it must finance its own customers to sustain AI demand. It fell 5.1%, erasing about $256 billion, on reports it could backstop up to $250B for an OpenAI data-center project, effectively funding OpenAI to buy its products. CXMT's surging debut added worry about Chinese chip competition. Apple overtook Nvidia as the most valuable company as markets separate AI beneficiaries from firms taking aggressive financial risks to keep the cycle going. x.comÂ
