qinbafrank
AI/Crypto/TMT Investor, Global Liquidity & Macro, Cycle-Based Investing
AI and chip stocks can hold up despite record long-bond yields because AI fundamentals remain strong, as OpenAI shows. Its annualized revenue is nearing $70 billion, its valuation is approaching $1.4 trillion, and it launched Dots, aiming to turn ChatGPT into an always-on operating layer that executes work across software. If Dots clears reliability, security and cost hurdles, AI could compete with office software and outsourced knowledge work, amplifying revenue in coming years. x.com
The AI buildout is lifting semiconductor and AI compute earnings enough to offset the valuation pressure of higher long-term yields. Columbia Business School professor Stijn van Nieuwerburgh estimates US investment in data centers, power, networks and AI equipment at about $10.3 trillion over 2025-32, roughly 3.63% of GDP a year, above the largest railroad boom's 2.24% and well above highways and fiber. Tech-company bond issuance for the buildout is one of three drivers pushing long yields up. x.com
AI spending makes Defiance AI Infrastructure the simplest way to own chips, cooling and power. Roundhill Memory alone holds makers for a shortage expected into 2028. VanEck Semiconductor is the broadest chip fund and a core long-term AI holding. Global X Robotics & AI owns factory and hospital automation sellers now. ARK Autonomous Tech covers autonomy but is the most aggressive, volatile pick. Roundhill Neocloud is the list's only rental fund and most direct way to own AI compute demand. x.com … Show more
AI usage outstripping compute supply for the foreseeable future supports semiconductor demand despite cheaper tokens. Token prices fell about 90% in roughly three months, yet usage rose by more than that drop, so compute pricing keeps rising. AI revenue extends beyond LLM providers, including Meta, Google, Salesforce and ServiceNow. On- and off-balance-sheet debt is a risk; an AI bubble is likely eventually, but none is visible now. x.com
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.com
Semiconductor demand could withstand slower OpenAI and Anthropic growth if open-source models and post-training add more chip demand than it removes. Falling token prices need not erode per-GPU economics as cost per token falls and output per GPU rises, potentially keeping rental rates firm. The balance is unresolved; the lean is bullish, but markets may focus on the easier-to-see slowdown. Shares could chop until numbers defeat the bears, or a well-founded bear case could trigger heavy selling. … Show more
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.com
Alphabet's AI capex payback is being repriced, making its post-earnings decline more than a one-day mood swing. Guidance and cloud and AI margin commentary are the near-term tests. If growth continues but the multiple compresses, the risk is duration in mega-cap AI, not a collapse in technology growth. x.com
Debt-funded AI building is making tech stocks vulnerable to a 25-30% pullback as rates and energy prices rise. AI company borrowing reached $466B this year versus $101B a year earlier; weekly default-insurance trading on seven AI names rose from under $2B in July to over $9B in September. Keep cash for lower prices, though 30% earnings growth and a 19x market multiple argue this is not an AI bubble. x.com
Most AI chip companies are unlikely to be good investments over the next decade, because so much capital floods in that excess returns get competed away. Chipmakers need massive capital and constant reinvestment just to stay relevant, a treadmill rather than a compounding machine. Value concentrates only in customer relationships, lowest-cost production or toll-bridge bottlenecks. When returns miss high expectations, repricing is fast and brutal. Winners are uncertain, but most won't be. x.com
AI-exposed semiconductors face near-term demand risk as Anthropic's revenue growth slows. Monthly additions fell from $10B to ~$2-3B, though October may improve and one-off headwinds contributed. The AI selloff is not irrational amid rates, debt, politics and supply-chain risks. Despite long-term optimism, a short-term bull case needs an Anthropic IPO or OpenAI fundraise, calmer rates and debt funding, blowout cloud earnings with EPS upgrades, and new applications reviving token monetization. … Show more
