Nvidia's CUDA retains developers, putting it among 12 stocks that could dominate the decade ahead. Nebius's GPU rental price rise signals demand; Fabrinet and Credo supply AI connectivity. DraftKings has betting scale; Microsoft has Azure and an OpenAI partnership; Figma anchors design work; Shopify powers stores. TeraWulf pivots power sites to AI leases; Constellation, the largest US nuclear operator, signs big-tech power deals; Meta spends on AI; Uber has autonomous-vehicle partnerships. x.com  … Show more

Nvidia's capacity commitments argue against AI orders drying up soon. Its filings show mostly memory and manufacturing commitments rising from $119 billion to $279 billion in one quarter, with about $175 billion covering 2027-28. Fewer new data-center projects could reflect power, land and building bottlenecks rather than weaker demand; a mid-teens multiple still reflects a fair worry that profits may not last. x.com 

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.com 

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.com 

No serious AI customer runs on a single chip vendor, so the choice was never Google's TPUs or Nvidia, but both. Per @StockSavvyShay, Anthropic contracted 2.6 GW of Nvidia infrastructure through 2028 despite leaning heavily on Google TPUs and Amazon Trainium. Per @wallstengine, Nvidia says revenue per gigawatt rises from $25B for Blackwell to $40B for Rubin, but that only works if the gigawatts can be found. x.com  x.com 

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.com 

Nvidia's shares remain pressured because neoclouds have yet to show demand revenue can cover debt service even at higher rates. CoreWeave and Nebius are dragging the shares, though that concern is being priced in and digested. Reuters reports ByteDance, Alibaba and Tencent ordered $35B in Nvidia chips; Elon Musk says SpaceX is on track to bring roughly 200,000 GB300 GPUs online per month through end-2026. Nvidia made a higher low, and the next higher-high target is $256. x.com  x.com  x.com  x.com 

More AI tokens mean more compute demand for Nvidia even as pricing power starts to slip. OpenRouter data via the FT show weekly token use up ~250-fold since January 2025; the FT links the surge to agents' long call chains. Bloomberg's breakdown of a 1 GW AI campus that could cost roughly $30B puts well over half the bill in chips and servers, most landing at Nvidia as GPU racks. Servers wear out in 5-6 years, making AI capex a recurring chip refresh. x.com  x.com  x.com  x.com  x.com  x.com  x.com 

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.com 

The AI rally is only starting for Nvidia, as UBS projects its AI rack capacity rising from 7.5 GW in 2025 to 50.5 GW in 2030. As @KyleReidhead notes, Nvidia's share falls from about 65% to 48% as custom chips grow, but the total market expands roughly 9x to 104.5 GW, so a slightly smaller slice of a far bigger pie is still a monster. x.com