The market is selling AI infrastructure on pause fears while the cleanest demand read on the planet prints records, which favors SK hynix and Micron. Korea shipped $16.5bn of chips in 10 days, 3.5x last year's pace. x.com
M Mohan
Private Equity at IncVangal, Former Microsoft Ventures Director
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
SK hynix's contracted capacity gives its AI-memory demand case more visibility. It reported an 80% operating margin on ₩104.6 trillion of revenue, with sales more than quadrupling year over year and over half of 2027 and 2028 capacity under long-term contracts. Vertiv's sales grew 61%, orders more than doubled, and it raised full-year guidance again; so far, AI demand is still accelerating. x.com
China's domestic market lets YMTC and CXMT threaten Micron, Samsung Electronics and SK hynix without entering US products. China receives 15-25% of smartphones and PCs and is on a path to at least 20-30% memory share over the next several years; current leaders are much too optimistic. History suggests at least a near-term semiconductor rally even if the AI trade has topped. It likely has not: agentic AI should give the trade room to run into 2027. x.com x.com x.com
Micron's knockout earnings should soon lift a stock that hasn't moved yet, likely because of end-of-month fund repositioning. It beat on revenue, margins and earnings and projects an even bigger 2027. AI supply-chain assets were weak in September, historically the worst month of the year, while October is historically the best. x.com x.com
AI is pulling memory capacity toward ever more valuable products while supply stays tight, which is why SK hynix and Micron rank #2 and #7 in the AI Investment Rankings. From May to July, South Korean DRAM export volumes fell 13% while their value rose 18%: fewer chips, more money. x.com
Strong AI demand and hyperscaler spending make the selloff a mid-cycle correction despite neocloud financing stress. Widening CCC spreads expose leveraged firms to higher borrowing costs; US competition with China supports AI buildout. The base case is a bottom in roughly 5-7 days, then stabilization and eventually a broader reversal, though some projects may fail and valuations compress. IREN, Cipher, Nebius, Applied Digital, Micron, AMD, ASML and Intel are worth gradually accumulating. x.com
Rising AI equipment demand could sustain the buildout behind Micron, Nebius, Marvell, Bloom Energy and Applied Optoelectronics. ASML says customers are raising short- and medium-term forecasts, some are interested in orders for 2029 or 2030, and its currently planned 2027-28 supply may not fully meet demand. The dip in these AI stocks might be a buying opportunity. x.com
The still-robust AI wave will inevitably drive physical AI forward, making Ouster's lidar, cameras and software stack increasingly critical. SK Hynix's strong earnings show that momentum is far from over; physical AI still has substantial runway and has not seen the hype of other AI trades. x.com
TSMC's capex plans suggest the AI chip trade is not over for semiconductors, Nvidia, AMD and Micron. CFO Wendell Huang cites robust multi-year demand, including agentic AI, behind $60-64 billion of 2026 capex; TSMC expects 2026-28 spending to be even more significantly higher than in the prior three years. Hyperscaler earnings should reinforce the higher AI capex trajectory. CoreWeave-driven fears feel overdone, though the neocloud model does not appeal long term. x.com x.com
Micron, TSMC, ASML, Penguin Solutions and Aehr Test Systems' AI bottleneck thesis got stronger even as their stock prices did not. Micron and TSMC beat and raised, ASML reaffirmed, Penguin executed and Aehr delivered a record quarter. AI demand, capex and supply constraints are all still there. x.com