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

Alphabet's AI spending is visibly turning into revenue, more than many other names can say today. Cloud is nearly a quarter of revenue, growing 103% at a 36% operating margin with a $561B backlog; total revenue rose 25%, operating income 30%, and margins are expanding. Free cash flow has been negative for two quarters, capex keeps climbing into 2027, and AI leaves search monetization uncertain. x.com 

Semiconductors may face deflationary telco-equipment economics as chip throughput improves and compute deployment eases. Nvidia's tokens per chip rise dramatically each year; three or four deflationary forces could converge. LLMs sell tokens as carriers sold minutes, leaving consumers the main beneficiaries after penetration. If that analogy holds, few bulls would like either business. App developers may benefit after the customer ramp, though LLM providers could build their own. x.com  x.com  … Show more

AI embedded throughout software could bring huge future token spend to Amazon and Alphabet, whose AWS and GCP clouds host software builders and offer AI platforms. Ramp data show VC-backed firms spend 10 times more per employee on AI monthly than PE-owned and other firms, a possible leading indicator of software using more tokens relative to people. VC-driven demand is vulnerable to capital-cycle swings, but longer term incumbent software may become AI-native or be replaced. 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

Semiconductor trade faces a capex growth ceiling even if AI delivers what bulls expect. Spending cannot compound at 70-100% a year indefinitely, and compute per dollar roughly doubles every two years, so the same budget buys more capacity later. Today's chip valuations also demand years of 20% AI earnings growth beyond 2028: roughly 10.9 extra years for AMD, 8.9 for ASML, 7 for Marvell and 6.4 for TSMC, versus 1.6 for Broadcom and 0.8 for Nvidia; Micron needs none under the chart's assumptions. … Show more

Alphabet's AI growth is harder to turn into cash because capacity shortages require rented compute while TPU system sales tie up inventory before delivery. Cloud grew 103%, with system sales contributing meaningfully; management expects rented compute to pressure Q4 Cloud margins. Q3 free cash flow was -$9.1B, partly reflecting inventory build and a one-off EU fine, while AI Mode monetizes less effectively than traditional Search. The dip is probably a buy with a reasonable timeframe. x.com  … Show more

AI suppliers' profits and signed demand distinguish this buildout from dotcom overcapacity. AI leaders rose 2.9x on 3.1x earnings growth versus 7.4x on 2.1x before 2000; cloud providers have $2.3T in signed backlog. Alphabet, Microsoft, Amazon and Meta could repay debt with about six months' cash flow, unlike 2008's leveraged banks. Micron has multiyear take-or-pay deals and ASML has orders years ahead. Memory profits are cyclical; TSMC, ASML and GE Vernova remain favored in AI's early innings. … Show more

Semiconductors may be nearing peak AI-infrastructure euphoria as hyperscalers appear to have overspent on capex. Per a Bloomberg leak, Meta plans to sell excess AI capacity to third parties, entering cloud; one of the world's largest GPU buyers placing surplus capacity is a first warning. The same session showed a textbook rotation, with semis (SOXX) down 6.4% and cloud software (WCLD) up 3.6%. AI is here to stay, but innovation doesn't equal investment success. x.com  x.com  x.com  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