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 

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 

AI skepticism leaves Nvidia, Broadcom and Micron looking cheap on forward earnings. Their forward P/E ratios are 14, 18 and 5, respectively; the market may eventually stop doubting AI. x.com 

A supply response could compress Western Digital's pricing and margins, eroding its apparent cheapness. Its 2013-24 normalized earnings merit a look: even huge demand growth in other industries eventually drew supply and mediocre returns. A digestion/reset would hurt buy-and-hold investors, though the outcome is uncertain. Pre-AI economics were mediocre and unlikely to become amazing post-AI; TSMC's stronger pre-AI economics make its post-AI case better. x.com  x.com  x.com 

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

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 

Uncertain AI-capex profits and higher oil costs from Iran still threaten US stocks. The SPCX-Nvidia deal brought much-needed overnight inflows to chips and is shifting sentiment, but tech's waterfall decline will not heal with a sharp V-bottom. Be prepared for a big fade. x.com 

Rising Chinese competition and doubts about valuations add to Nvidia's downside risk as the AI sector bleeds. Nvidia's break from an uptrending triangular pattern rarely ends well; the AI bubble is cracking, and the trendline break marks the beginning of something much bigger. 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 faces risks on both sides of the AI cycle. Vendor financing is a concern at the center of the buildout: strong AI sentiment brings competition, while weaker sentiment brings a slowdown. That makes it the largest holding of greatest concern. x.com