FIRED Up Wealth
Motley Fool Analyst & Investment Educator
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.comÂ
Kimi K3's demand surge shows the semiconductor bear case is largely wrong. The 2.8-trillion-parameter open-weight model overwhelmed Moonshot's GPU capacity within 48 hours, forcing a pause on new subscriptions, which contradicts claims that AI use is overhyped or that Chinese and open models will cut GPU needs. Per Citadel Securities' Scott Rubner, retail turned back-to-back net sellers during chip declines, a rare pattern that has often marked late-stage selloffs before strong rebounds. x.com x.com x.com x.comÂ
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.comÂ
TSMC's strong AI demand is straining supply, while solid company fundamentals and attractive semiconductor valuations make an abrupt stop to its advance unlikely. TSMC's Wendell Huang expects 2026-28 capex to be significantly higher than in the previous three years to support customer growth; he says most capex is tied to long-term demand. x.comÂ
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
AI data-center investment needs outside AI spending to rise 33-fold by 2030 to break even. Hyperscalers hold $4.5 trillion in debt and future liabilities, but corporate and SaaS token spending outside circular deals is only $60 billion annualized against a $2 trillion break-even ARR. SK hynix says memory shortages may last until 2031, raising capex and CoreWeave default risk; Mitsubishi warns turbines are booked through 2031 and cost 400% more, delaying CoreWeave and Oracle data centers. x.com … Show more
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.comÂ
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.comÂ
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.comÂ
AI data-center spending should reach chips first, then racks, power and cooling, benefiting Nvidia, AMD, Vertiv, Bloom Energy, Credo, Marvell, Lumentum and Micron. BofA forecasts the global data-center market at about $1T in 2026, $2.1T in 2028 and nearly $3T by 2030, a 37% annual rise; roughly 80% of a new AI site's $57M per MW cost goes to servers, networking and storage. x.comÂ
Semiconductors face a negative signal from the first call of peak AI capex. Per Wallstengine, Oracle expects its AI data-center spending to peak in FY27-FY28 and decline in FY29. Oracle's FY27-FY28 runs from June 2026 through May 2028. x.comÂ
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
