Zephyr
AI & Semiconductor Analyst at Citrini Research
Semiconductor multiples should start compressing as investors get more ways to play the AI trade. Meta, Google, Anthropic, SpaceX and OpenAI could raise $350B-$400B from public markets in the next 9-12 months, or $550B-$600B if Amazon and Microsoft join. Analog companies with only 5-10% AI revenue exposure should not trade at 100-200x earnings, nor should mobile-supply-chain RF and wireless names carry super-high valuations. x.com x.comÂ
Semiconductors are now driving both of the top two economies, and analog is super back. Per @Omercheema, Texas Instruments and other analog and power companies are making a second round of price increases. Per @poezhao0605, China's April chip export value nearly doubled on just 3.7% volume growth thanks to global AI compute demand, while integrated-circuit imports rose 54.7%. x.com x.comÂ
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
Semiconductor stocks' easy-money phase is over as the sector shifts from hype to show-me-the-money. The SOX index is down over 15% from its June peak, chip funds saw $11B of outflows in one week, the largest this century, short interest is at a three-year high and earnings growth is projected to slow by 2027. Memory and logic chips remain commodity-like. This is cyclical cooling, not a death knell; the AI build-out continues, but expect more turbulence and favor companies with defensive moats. … Show more
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.comÂ
AI semiconductor stocks are falling because valuations priced in too much growth beyond 2026-27, not because fundamentals are worsening. With the sector ETF up more than 100% year to date at one point, Q2 earnings couldn't meet those expectations, and a crowded trade is deleveraging as everyone races for the same exit. Fundamentals are likely improving, so as positioning and valuation reset the trade can continue, but selectively. x.comÂ
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.comÂ
Some semiconductor stocks have returned to reasonable valuations as fundamentals improve, making recent declines buying opportunities. Many had traded at two to three times their median valuations; the correction brought some back toward normal, while sustained AI spending should benefit suppliers for years. x.comÂ
Semiconductors risk a telecom-style bust if AI capex merely flatlines rather than falls. Telecom investment did not decline after 2001; it stopped growing for 25 years, and investors took a bath as stocks priced for growth stalled and margins compressed. Today's $1 trillion-plus of annual investment rests largely on startups' projections of about 10x growth, and xAI and Meta already found less demand than expected. GPUs must run while they hold value, so no analogy is perfect. x.com x.com x.comÂ
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.comÂ
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.comÂ
Semiconductors are betting on AI labs whose spending commitments the stock market takes seriously, despite little visibility into what is happening at the labs. They selectively leaked good news for three years, but last week brought the opposite; Anthropic has also delayed an IPO originally slated for before Labor Day. Broadcom CEO Hock Tan warns that enterprise AI spending may yield little learning. x.com x.com x.comÂ
