Alphabet's businesses beyond search are why it will lead the real AI boom. Google Cloud, DeepMind and Waymo broaden its reach, and its $900 million SpaceX investment is now worth $85 billion. Fear emerging as the shares fall is an opportunity; a decline toward the buy zone is welcome, even as Q3 capex has taken a large hit out of free cash flow. x.com  x.com  x.com  x.com 

Fresh funding for AI expansion supports a continued bid for AI stocks as compute spending shows no sign of slowing. Meta committed to $95B in shareholder dilution for AI, Anthropic is set to have $200B in cash in a couple of weeks, and SpaceX got a $40B Apollo loan solely to buy more Nvidia GPUs. The Anthropic IPO might even be a positive catalyst rather than the negative one many fear. 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 

Diversified cash flows in the billions make the AI-buildout basket more appealing than standalone model companies. Many members look reasonably priced and have longer records of delivering returns; Anthropic and OpenAI look much more like gambles at current valuations, though either could appeal at the right price. A possible equal-weight portfolio to revisit in five years includes Amazon, Alphabet, Microsoft, Meta, Oracle and SpaceX. x.com  x.com 

Financing announcements point to more accelerator demand, supporting semiconductors. About $200bn in announced Meta, Anthropic/Broadcom and SpaceX/Nvidia financing likely drives $400bn in XPU purchases. Data centers burn cash until lit, then cash flow 20-40% annually; AI spend rising from 0.1% to 0.5-1% of current payroll could balance the buildout if agents replace roles. Sustainable token demand is the bet, but smaller local models are the bigger risk, though not an immediate concern. x.com  … Show more

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.com 

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 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.com 

Financing risk makes AI-linked growth stocks unattractive to add here. Much of the money reaching suppliers such as Nvidia and Micron is financed, so harder funding would limit spending on chips, compute and memory. The buildout is not over, but stock prices could remain suppressed until it slows. A significant drawdown would make adding appealing; for many high-beta names with weak fundamentals and balance sheets, the highs look to be in. x.com 

Sending AI data centers into space should dramatically increase revenue and profitability for Nvidia and SpaceX. Both stand to benefit as this industry expands. x.com