Architecture changes could lift TSMC wafer demand. Shifting from 12-high to 8-high lifts volumes; an on-device AI phone upgrade cycle would be enormously bullish, while ASIC gains over Nvidia help because ASICs use more wafers. TSMC is arguably more vital to AI buildout than MAG stocks and a reasonable extended-AI-cycle play at a not-crazy multiple, barring big macro events. Margins may not expand as capex rises; a Terrafab partnership, if it happens, would somewhat ease Intel competition risk. … Show more

TSMC's latest results point to AI chip demand still running ahead of supply, supporting the semiconductor and equipment trade. Cantor says TSMC raised its 2026 revenue outlook again, guided December-quarter sales above consensus and held 65-67% gross-margin guidance through the N2 ramp; its bullish sector read names Nvidia, Broadcom, AMD, ASML, Applied Materials, Lam Research and KLA. Jensen Huang says AI labs need not reach trillions in revenue to justify the buildout. x.com  x.com 

TSMC may lose pricing power as performance gains shift from shrinking transistors to stacking, interconnects and optics, while logic folding could make older processes competitive. Despite strong leading-edge demand, investors may overestimate the profit share its node leadership can retain. Its cautious expansion and past reluctance toward advanced packaging suggest a risk-averse culture that protects returns but could leave it late to disruptive technologies and key customers. 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 

TSMC's AI-era growth opportunity makes it an incredibly bullish investment. CEO C.C. Wei said its annualized growth opportunity is probably higher than a high-50% CAGR. x.com 

TSMC's failure to prioritize Apple marks an irreversible turning point that the market will take a long time to price, even though near-term results won't be hurt. Apple paid development costs for 2nm and saw itself as a de facto shareholder, yet got no priority supply. TSMC is not expanding capacity and told Google to go through back-end partners. That treatment drives customers like Apple toward Intel, and years from now CC Wei's stance will be looked back on with regret. x.com  x.com  x.com  … Show more

Arm is shifting from secondary supplier to the core orchestration backbone of AI data centers. Agentic AI needs roughly four times as many CPU cores per gigawatt, part of a $100 billion CPU market Arm sees for 2026. Its new AGI CPU line has over $2 billion in secured demand, with Oracle Cloud and ByteDance joining, and Google will use Arm-based Axion CPUs in all next-gen TPU systems. Hyperscalers' custom chips standardize on Arm's Neoverse, and Armv9 carries about double v8's royalty rate. x.com 

Arm is no longer just a royalty collector, a radical change in its business, and agentic AI demand for sold-out CPUs is amplifying the move. Arm-based CPUs could capture nearly 90% of host CPU deployments in custom AI ASIC servers by 2029, and Nvidia was expected to unveil a new Arm-based processor at Computex. Not all of the rally is fundamentals, and the stock could pause around $400; in this kind of market, price action works better than P/E. x.com  x.com 

Taiwan Semiconductor wins as OpenAI, Google, Apple, Meta, AMD, Anthropic and Nvidia all make their own chips. x.com 

TSMC manufactures chips for most of the leading tech companies while Intel still struggles with its own foundry. It makes NVIDIA's GPUs, Apple's phone chips, AMD's processors and Google's TPUs, plus chips for Amazon, Microsoft and Meta. x.com  x.com