The semiconductor sector's bloat makes selectivity important. Nvidia, TSMC and ASML are among the best businesses still worth owning, but not every name will recover from this month's selloff. Chasing unprofitable, highly leveraged small caps should be a lesson from the selloff. x.com 

Improving earnings and more attractive valuations favor AI infrastructure names Nvidia, Micron, Broadcom and TSMC. Goldman Sachs charts put memory stocks at about 4 times two-year forward earnings versus an 8 times median, and large fabless chip stocks at about 13 times versus 18 times. 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 

Low PEG ratios and continuing AI demand make leading AI stocks attractive after rolling corrections. Nvidia is at 0.39x PEG, Amazon 0.64x, Broadcom 0.66x, Micron 0.73x, Oracle 0.59x and TSMC 0.41x. This usually signals at least a local bottom, possibly a major one; midterm-year seasonality helps into year-end. Nvidia, Broadcom and Amazon remain favorites; Micron and TSMC look buyable on dips. Low PEG can mislead if growth slows or estimates are wrong. x.com 

Semiconductors will be much higher in 12 months if the market's real doubt is whether this cycle lasts another year. The cycle feels like the bottom of the third inning while the market prices a seventh-inning stretch, which is why so many chip names look like must-owns at these valuations. In order of preference: Nvidia, Credo, Astera Labs, Lumentum, Broadcom, TSMC, Coherent, Marvell, then SK hynix and Micron. x.com 

Financing risk makes AI-linked growth stocks unattractive to add here. Much of the money reaching suppliers such as Nvidia and Micron is financed, so harder funding would limit spending on chips, compute and memory. The buildout is not over, but stock prices could remain suppressed until it slows. A significant drawdown would make adding appealing; for many high-beta names with weak fundamentals and balance sheets, the highs look to be in. x.com 

Weak AI sentiment is constructive for AI leaders because weaker hands leaving can concentrate gains in the strongest companies. The stack's leaders are Broadcom in custom silicon, Micron in memory, Vertiv in power, Credo in connectivity, Nebius in neoclouds, and SPCX in orbit and space compute. x.com 

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.com 

NVIDIA, Broadcom, Micron and TSMC should be worth less because AI risk has risen while the expected reward has not. The CEOs of Anthropic, OpenAI, SpaceX and Tesla have said AI risks killing all humans and needs to slow down, yet not a single analyst cut ratings or price targets on these chipmakers. In game-theory terms, higher risk with the same reward makes the bet worse. x.com 

ASML, TSMC and BE Semiconductor are the safer, easier-to-understand way to own AI because they sit in the industrial part of the chain. The big question in AI is timing, which no one can call, and Nvidia's software moat is impossible to understand or trust with confidence. A quoted post notes that Crésus sold Nvidia, expecting faster AI progress to favor the owners of models and factories over chip designers. x.com