KLA gains as more complex AI chips require more inspection before they ship. 3D stacking, advanced packaging and 2nm processes multiply checks in a market KLA says it owns almost entirely. Revenue rose 29% and EPS 39%; the next-quarter revenue guide of $4.7bn exceeds the $4.54bn expected, showing the promised second-half acceleration. Overweight, $300 target. x.com  x.com 

Aehr Test Systems stands to benefit because testing is a bottleneck to scaling AI chips. Testing demand is about to surge. Investors did not question its price-to-sales ratio at 120, despite the current P/S objection. x.com  x.com 

Amkor's expansion in advanced packaging supports a bullish growth outlook as that work becomes more important. Packaging accounts for 88% of sales and computing revenue rose 25%; capacity spending explains negative free cash flow. Q3 EPS was $0.76, implying roughly 12x annualized earnings, while Q4 EPS guidance is $0.65-$0.75. The compute opportunity is only starting, despite the decline in mobile. x.com  x.com  x.com  x.com 

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 

Camtek is cheap against its earnings. At $146.79 it trades at 31x earnings, while chip-equipment makers usually get 38x. Fair value is $160.15–$203.82, or 38x next year's $4.79 a share give or take 12%, leaving the stock 8% under the low end. The read leans on the forecast, with forward earnings 154% above trailing. This is a levels-only read off reported earnings and revenue estimates, with no fundamental work. x.com 

TSMC's AI-chip foundry role is translating into another record quarter of profit. Third-quarter revenue reached NT$1.49 trillion, up 51% year over year, and net income NT$763 billion, up 69%, its sixth straight record-profit quarter; the attached results show a 51.1% net margin and a 2.2% beat against the cited consensus. This strengthens the existing bullish view that AI chip demand runs through TSMC. x.com  x.com 

Lam Research's record results suggest the equipment cycle is not ending despite its stock selloff. Revenue reached $8.22B, up 54% year over year and over 20% sequentially, while EPS rose 75%; ASML and TSMC also report customers needing more tools. Overweight with a $355 target and 35% upside, but the selloff is a gift only if Lam guides December higher. x.com  x.com 

Teradyne's test business is surging because rising AI chip complexity multiplies testing demand. Q2 revenue was a record $1.329 billion, up about 104% and above consensus, and Semiconductor Test revenue rose 128% to $1.122 billion. Management said AI is now its primary growth engine, contributing about $1.2 billion of Q2 revenue across compute, HBM and networking. More sophisticated GPUs, ASICs and HBM need far more testing, making its high-end ATE mission-critical. x.com 

Amtech Systems sells equipment for AI chip packaging, which is getting harder and needs tighter thermal control, precision and yields. AI revenue in its Thermal Processing segment rose about 120% and is over 40% of the segment, which earns about 51% gross and 25% operating margins; orders outpace revenue. With $81M of cash against a $291M market cap, $140-150M of 2027 exit revenue at low-to-mid-20s EBITDA margins implies $40-45 a share. Risks: SiC weakness, a semi-fabless shift and small scale. … Show more

Lam Research's strong revenue and free-cash-flow forecasts remain intact despite the selloff, suggesting upside if it delivers. Consensus puts fiscal Q1 revenue at $8.13B; FY2027 revenue is expected at $34.92B, with free cash flow potentially near $10B at a 28.33% margin. Analysts' $375.81-$378.20 targets imply 42.8% upside from $263.94 if FCF forecasts hold. Q1 execution is critical to show whether AI capex strength is translating into cash. x.com