Bottleneck Capital
Long/Short Investor, Technology, Media & Telecom
High rates won't stop the AI buildout; they concentrate it in cash-rich hyperscalers like Microsoft, Amazon and Alphabet. The 10-year is at 5.15%, a $70B 5-year auction drew the weakest demand in four years yet hyperscalers still guide about $700B of capex. Levered neoclouds die while the cash-rich buy their GPUs cheap. Michael Burry is right that depreciation is stretched but wrong on 2008: older GPUs still earn inference revenue, and no hyperscaler will stop first. x.com x.com
Amazon, Alphabet and Microsoft's cloud businesses could capture more of the AI value pool as cheap and open models compress frontier lab pricing. Lower prices hurt lab margins but can create more cloud workloads and shift more of each AI dollar to compute, networking and storage. Per @rauchg, open models took a record 78.4% of token volume on Vercel AI Gateway. That is bullish only if workload growth outweighs fewer GPU hours per job and existing spare capacity. x.com
AI infrastructure bottlenecks could give eight stocks as much as 18x upside. Nvidia supplies frontier-model GPUs; Broadcom and Marvell supply custom silicon and networking; TSMC makes advanced chips; Micron supplies sold-out HBM; Vertiv provides power and cooling; Palantir monetizes enterprise AI; Alphabet spans TPUs, research, cloud and apps. The list tracks where AI infrastructure spending is flowing. x.com 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
The selloff in AI hyperscalers is a valuation and free cash flow reset on a still-tight buildout, not a thesis break. Alphabet raised 2026 capex to $195-205B and printed its first negative free cash flow quarter, and the market now asks whether capex converts to cash fast enough to justify prices. Capex can keep rising while the stocks fall. Watch whether capex guidance keeps climbing with confident monetization talk; a capex cut or negative memory server contracts would break the thesis. x.com
Hyperscalers' forward P/E has contracted 20% even as estimates ramped, making it rare to see things get much worse. Rising GPU rents and new lows in availability make the AI fears a fade; hyperscalers should lead. The next two weeks will be gut-wrenching amid the OpenAI raise, Anthropic S-1, Fed, midterms and mutual-fund selling into year-end, but that is the time to buy. x.com
Anthropic's customer growth gives AI compute suppliers firmer demand evidence than capacity plans. Its S-1 reports $16.3B in H1 2026 revenue and about 900% net retention as of September 30, the strongest evidence yet of adoption. Over $500B in commitments include a roughly $125B five-year Broadcom equipment lease plus Amazon, Google and Microsoft arrangements; Nvidia GPUs are in its mix. Long-term obligations could outlast usage revenue. x.com
AI builders needing outside capital face funding risk before suppliers holding customer cash. CoreWeave spent $6.4bn against $0.7bn in operating cash flow; Oracle, Amazon and Alphabet spent more than their operating cash flow on capex. Micron, SanDisk and AXT hold customer money; TSMC has net cash. Nvidia is paid for GPUs but holds about $99bn in equity stakes, including GPU buyers. If borrowing costs rise, buyers feel it first and suppliers may later see contracted-volume cuts. x.com x.com
Nebius' software efficiency and a possible end to heavy AI financing support a re-rating. Per @DrTomsLens, its engineers got about 43% more video output from the same GPUs, cutting compute cost per second by 30%; newer hardware alone is not enough without capable software teams. Oracle expects to fund growth from free cash flow in FY2029, suggesting capital-heavy AI providers may eventually outgrow debt and dilution. Google Cloud reported 103% revenue growth amid strong AI infrastructure demand. … Show more
AI's physical buildout looks set to last to 2030 and beyond because financing, memory supply and hyperscaler spending still point to sustained demand. Nebius has $3.5B in financing, IREN $2.4B at 9% and SPCX $40B for GPU equipment. SK hynix expects shortages through at least 2030 and Samsung says HBM4 is sold out; memory companies are making money with no sign of slowing. Google expects 2027 capex to rise significantly. Pullbacks can happen; be cautious and buy quality. x.com
AI hyperscalers' heavy bond issuance can crowd out the corporate AI spending they depend on. After hyperscalers flooded the bond market all summer, a company rolling its Covid-era debt 5% higher has less left for an AI budget. And if every valuation and megatech management guide rests on commitments from Anthropic and OpenAI, they rest on unaudited financials never reported to the SEC. x.com x.com
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.com
