Quality Equities
Quality Equity Investor, Concentrated Portfolios
The Fed's September 16 quarter-point hike affects the high-moat portfolio differently from the simple picture of borrowers paying more. Bond-rating companies are having record quarters because the AI building boom keeps borrowing whatever rates do, while brokers that should win get only a small bump. The real damage falls on home loans and on the price investors will pay today for profits far in the future, which is where most of the portfolio sits. x.comÂ
High-moat platforms like Amazon, Microsoft and Nvidia are proving that hundreds of billions in AI data center spending is turning into real growth. AWS posted its fastest growth in over four years, Microsoft's cloud crossed $100 billion in annual revenue and Nvidia's revenue more than doubled. Visa and Mastercard beat comfortably on strong spending, and as simple, high-margin, low-capital businesses their beats show up cleanly. Alphabet has slid on an FTC YouTube probe and AI spending worries. x.comÂ
S&P Global and Moody's collect a toll on AI capex either way: if data-center returns are bond-like, the buildout gets funded with bonds, each needing a rating at issue and surveillance while outstanding. Low returns plus heavy capex keep the issuance calendar full while equity holders eat thin returns. New issuance may stay quiet given a 2028-weighted refinancing wall and wider spreads, but surveillance and index revenue bill off outstanding debt. Both traded well under 25x in past droughts. … Show more
Easing credit fears should make debt cheaper for neoclouds and other capital-heavy AI builders, allowing some of the hardest-hit infrastructure stocks to explode higher. Five-year CDS for CoreWeave, Oracle, Meta, Amazon and Nvidia peaked on October 26 and has since eased. Anthropic's S-1, AI infrastructure earnings and Oracle's investor day gave the debt market evidence of demand and returns. The risks should fade quickly so long as revenue and pricing power keep showing up. x.comÂ
AI hyperscalers' heavy bond issuance can crowd out the corporate AI spending they depend on. After hyperscalers flooded the bond market all summer, a company rolling its Covid-era debt 5% higher has less left for an AI budget. And if every valuation and megatech management guide rests on commitments from Anthropic and OpenAI, they rest on unaudited financials never reported to the SEC. x.com x.comÂ
S&P Global looks very bullish after TCI's Chris Hohn expressed strong confidence in growth at the ratings agencies. Per the call notes, investment-grade ratings are supported by the AI buildout, sub-investment-grade by huge maturity walls, and Hohn believes the market is wrong to reprice these businesses lower as yields rise. x.comÂ
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.comÂ
Moody's and S&P Global could de-rate from high starting multiples if generalist portfolio managers come to see them as FICO 2.0. Their industry structures differ, but parallels in standards, pricing power and regulatory exposure could build a narrative that their pricing power is tapped out after the FICO case study, compressing multiples further. So far their de-rating has come from macro and AI pressure, not such fears. x.com x.com x.comÂ
Quality and price favor these eight stocks. Amazon improves as its multiple falls; Uber generates serious cash flow; Netflix is more profitable at a lower multiple; ServiceNow grew amid multiple compression. SoFi's appeal hinges on earnings near management's long-term expectations. McDonald's ranks among the world's highest-quality businesses at one of its more reasonable valuations in years. AI disruption weighs on Adobe's valuation; Brookfield compounds assets at a comfortable long-term price. … Show more
The S&P 500's concentrated, correlated AI exposure makes a large allocation too risky as rates rise. Higher rates could force data-center bondholders to sell AI equities; early AI use appears to be stagnating and unclear ROI may cap demand even if usage grows linearly. Failed lab IPOs or a credit-driven recession could also undermine the market. AI moving on-device or on-premise is another significant risk to data-center capacity demand. x.com x.comÂ
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.comÂ
Credit tightening and data-center delays threaten the debt-funded AI boom behind the S&P 500. Junk-bond sales fell from $51B in September to $7B in October's first three weeks; CCC yields hit a four-year high, though quality firms still borrowed. Per S&P Global, 146 data-center projects were delayed or canceled, potentially weakening buildout credit. With 40% of the index in 10 names, this is dot-com and 2008 combined; stocks have not caught up, and even good firms may be sold. x.comÂ
