The Few Bets That Matter
Concentrated Equity Investor, AI Infrastructure
Deployment limits will slow AI hardware spending and expose cyclical suppliers such as SK hynix. Amazon has hardware waiting for power, and Broadcom's CEO said some clients delayed shipments because they could not deploy. Cheap forward multiples can mark a cyclical peak as analysts extrapolate growth. The slowdown could have begun or be a year away; timing is uncertain, so reducing cyclical risk in favor of healthier, genuinely cheap names looks better. x.com x.com x.com
AI infrastructure stocks are exposed to slower funding and end demand, a market concern that looks right for now. Nebius is still compute-constrained and TSMC has massive demand, but if acceleration slows or normalizes, the market will price both very differently. The US 10-year Treasury yield, wars and oil issues add to the concern. Capital could keep flowing, and buying the dip might still work. 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
Networking, power and compute look more durable than cyclical memory in the AI buildout. Lumentum's revenue compounded year after year across the 2010s and 2020s, unlike Micron's; AWS revenue also compounded. Lumentum, Nebius, Bloom Energy and Credo should heavily outperform SanDisk and Micron from here, though AI itself remains heavily doubted. x.com x.com
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
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 forward earnings multiples across eleven stocks cannot persist indefinitely. Nvidia trades near 17.5x, its lowest in over a decade; Oracle near 15x, its lowest in six years. Uber is at 17x, Broadcom 19x, Vistra 15x, AppLovin 14.5x, TSMC 19x, Forgent Power Solutions 18x, Nokia 19.5x, American Express 17x and Western Digital 14x. x.com x.com x.com x.com x.com x.com x.com x.com x.com x.com x.com
Growth and recovery prospects make these ten stocks look inexpensive below 20x forward earnings. SK hynix, Micron and Sandisk benefit from memory and storage demand; Vistra from electricity demand; Oracle and Nvidia from AI infrastructure; Nu from banking growth and Uber from cash generation. Novo Nordisk's improving execution could make 12x attractive despite pricing pressure. Onsemi's recovery could run further as AI power efficiency matters more. x.com x.com x.com x.com x.com x.com x.com … Show more
Semiconductors could stay undersupplied for a long time as more capable AI per dollar creates more uses and drives compute demand. Micron and NVIDIA trade at low forward P/Es because investors fear peak cyclical earnings, yet current earnings show no slowdown. Shortages may worsen as AI adoption spreads, though the industry could remain cyclical; a reversal of the forced rollover trade is hoped for, not assured. x.com x.com x.com
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
Prepaid contracts and demand-paced fabs weaken a broad 2028 memory-glut case. SK hynix says over half its 2027-28 capacity is signed with deposits; 'sold out through 2029' includes negotiations. Samsung targets 60-70% contracted capacity. Micron's three projects begin output in 2H28; tooling follows demand. Reuters says CXMT's 20-30%-yield HBM3E may ship this year to export-restricted Chinese buyers, but performs like older HBM3. Commodity DRAM risks 2028-29 oversupply; NAND could ease in 2H27. … Show more
Selective bank lending limits bubble risk in the AI build-out, while early agent adoption supports lasting demand. Banks are cautious about neocloud loans; Meta's Muse reached more than 10 million people in about six weeks, and demand still outruns supply. Nvidia, Broadcom and Micron look priced for a sharp slowdown around 2029, but the application layer is just beginning. This cycle looks much longer than the market prices, even if it is cyclical. x.com
