Dan Loewenherz
Building at Opendoor, Former CTO at Coffee Meets Bagel
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
AI concentration leaves the S&P 500 vulnerable to an index-level crash in a recession. An estimated 60% of its market cap is directly tied to AI through chips, data centers and hardware; institutional S&P 500 short bets have doubled since 2025. x.com x.com x.comÂ
US stocks face a potentially bigger selloff as rising inflation compounds concerns about AI spending. PCE inflation reached a four-month high of 3.6%, increasing pressure on the Fed to raise rates; Alphabet shares fell after disappointing earnings, slowing ad growth and more than $51 billion of quarterly capital investment. x.comÂ
Living costs in a stage 4 decline will take over from AI as the driver of the US equity bull market. AI drove it since 2023, but its capital spending and debt loads are in question; falling food prices, rents and housing prices make a bearish view hard to justify. x.com 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
Expensive borrowing makes debt-funded AI projects harder to justify, pressuring AI stocks and the S&P 500. Inflation keeps pressure on rates. If Republicans lose Congress after the midterms, Trump could rely on executive action to speed permits, power projects and existing funding programs, keeping AI investment moving despite expensive money. Tech and risk assets could catch a bid if earnings hold and bond yields settle; Fed cuts remain uncertain. x.comÂ
US large-cap equities look near a bottom because hedge-fund positioning suggests forced selling is in its final innings, not economic deleveraging. By many measures this is one of the largest hedge-fund equity deleveraging events in 30 years; AI positions built over 18 months are being unwound in 75 days. Yet profits are growing about 20% year over year, AI compute demand exceeds supply, and the S&P 500 has barely moved. Contagion has reached credit, multistrats and European bonds. x.comÂ
Rising inflation, costlier AI infrastructure financing and growing Iran escalation risk point to the final major S&P 500 correction before the biggest phase of the AI boom. The index is near its 125-day average; its last break below in March was followed by another 10% drop. Keep cash ready: the next sell-off will create generational buying opportunities as neoclouds and hyperscalers turn infrastructure spending into explosive revenue and earnings growth. x.comÂ
S&P 500 earnings look flattered by AI spending: hundreds of billions in AI capex become immediate revenue for sellers of chips, servers and cloud capacity, while buyers amortize the cost over years. Revenue explodes now and the pain shows up later, so Wall Street raises estimates and stocks get even more expensive. That looks worryingly like a dot-com 2.0, and the risk is what happens when AI spending slows or stops. x.comÂ
Hyperscaler credit stress and weak financials-versus-staples leadership warn of downside risk in the S&P 500 consolidation. Spreads have broken July wides, though an upside breakout is probable if financials stabilize. So far, tech weakness has lowered yields as Fed hikes are priced out, letting defensives rally and the S&P chop. If the Fed signals Nasdaq weakness won't stop tightening without better data, the tech-yield link could break in an uncomfortable, 2018-like direction. x.com x.com … Show more
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
