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 

Semiconductors may face deflationary telco-equipment economics as chip throughput improves and compute deployment eases. Nvidia's tokens per chip rise dramatically each year; three or four deflationary forces could converge. LLMs sell tokens as carriers sold minutes, leaving consumers the main beneficiaries after penetration. If that analogy holds, few bulls would like either business. App developers may benefit after the customer ramp, though LLM providers could build their own. x.com  x.com  … Show more

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 

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 

Bitcoin's failure to decouple from AI leaves it at risk around the coming big hyperscaler earnings week. That linkage is worrying enough to prompt a 'timber' warning. x.com 

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 

Hyperscalers' forward P/E has contracted 20% even as estimates ramped, making it rare to see things get much worse. Rising GPU rents and new lows in availability make the AI fears a fade; hyperscalers should lead. The next two weeks will be gut-wrenching amid the OpenAI raise, Anthropic S-1, Fed, midterms and mutual-fund selling into year-end, but that is the time to buy. x.com 

Sivers is less exposed to tighter AI financing because its 700M SEK raise funds a buildout largely reliant on external foundries. It is qualifying with Ayar, Jabil, GlobalFoundries and O-Net for potential tier-one hyperscaler pluggable, CPO and NPO deployments. Higher rates may strain neoclouds needing billions for GPUs, but optical content and aggregate demand should still rise even if hyperscaler AI capex falls, especially as new players start qualification. 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

Rate moves challenging IPO liquidity could hit neocloud compute resellers harder than today's market implies. Neoclouds are running out of ammunition, and AI labs are running out of time and capital. If labs fail while hyperscalers have excess compute, today's shortage could become a glut. These shifts would not happen overnight. x.com  x.com  x.com