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 

Semiconductors could capture scarce spot compute's value if its forward curve holds. Compute trades in deep contango, while chip stocks price in little of that value; near-term moves are unpredictable. That makes the sector very bullish. The earlier lab-funding risk looks less acute: Anthropic should hold nearly $200B cash after its IPO and is operating-cash-flow profitable. Even with 2029 capex cuts, chips look cheap if future buyers do not default. x.com  x.com  x.com  x.com  x.com 

Slowing AI capital spending keeps the semiconductor growth scare in play. Meta's cash flow is negative and Lam Research's capex is slowing, further evidence as the sector faces a growth-to-value rotation and a Fed pause next week. x.com 

Semiconductor fundamentals have improved as SpaceX and Meta say spending will rise further, while rates have come down. Earlier caution rested on fears that megacaps could not sustain spending and rising rates would slow AI investment; neither worry has played out. Today's selling feels more like stops being hit and investors giving up. x.com  x.com 

Semiconductor demand could withstand slower OpenAI and Anthropic growth if open-source models and post-training add more chip demand than it removes. Falling token prices need not erode per-GPU economics as cost per token falls and output per GPU rises, potentially keeping rental rates firm. The balance is unresolved; the lean is bullish, but markets may focus on the easier-to-see slowdown. Shares could chop until numbers defeat the bears, or a well-founded bear case could trigger heavy selling. … 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

Semiconductors are more likely to go up than down from here at current valuations, since 2028 is probably a 20-30% capex growth year. AI capabilities and model revenue are ramping at an unprecedented pace and chip spending drives earnings growth for the whole market, while multiples stay reasonable on cyclical fears. The risk: model revenue added about $170 billion in 2026 against $780 billion of capex, and if capex flattens after an expected $1.1 trillion in 2027, multiples may stay low. 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

Tech and semiconductor bounces are mainly driven by less urgent hedge-fund selling rather than fresh buying. Per Goldman Sachs, tech is still being sold amid very low activity; there is no sign risk has been added yet. The unwind may be nearing its end, especially as hyperscalers stick to capex plans and Q3 semiconductor earnings look likely to be positive. Less crowded positioning and more normal multiples leave a healthier base for a longer-term rebuild. x.com 

AI usage outstripping compute supply for the foreseeable future supports semiconductor demand despite cheaper tokens. Token prices fell about 90% in roughly three months, yet usage rose by more than that drop, so compute pricing keeps rising. AI revenue extends beyond LLM providers, including Meta, Google, Salesforce and ServiceNow. On- and off-balance-sheet debt is a risk; an AI bubble is likely eventually, but none is visible now. x.com