Everything in Markets Is Now Moving Incredibly Fast

Joe Weisenthal and Tracy Allaway discuss how markets are moving at an unprecedented pace, with Luke Kawa from Sherwood News providing expert perspective. Kawa characterizes 2024 as defined by speed—both in the compression of economic time via AI and in market volatility. He notes that market breadth is extremely poor, with only 51.2% of S&P 500 stocks trading above their 200-day moving average while the index sits near record highs, a proximity last seen the day after the dot-com bubble peak. However, breadth alone is insufficient to predict a downturn, as similar conditions existed in 1998 followed by two more years of market gains.

On earnings, Kawa explains that approximately half of this year's earnings growth is driven by hyperscaler capital expenditure, with the market pricing in three years forward sales estimates rather than near-term growth. The real bet is on continued hardware spending for AI infrastructure. He observes unusual market dynamics where European industrials are outperforming the U.S. consumer despite strong U.S. growth—a historically rare occurrence.

Bond yields have risen significantly, with the 10-year breaching 5%, primarily driven by global growth expectations rather than inflation concerns. Notably, inflation breakevens have remained stable despite the yield spike, suggesting markets believe central banks will maintain control. Kawa expresses surprise at this stability given the Fed's historic tendency to miss inflation targets.

The discussion covers market structure changes including increased retail participation, pod shop strategies with tighter stops, zero-day call options, and emerging agentic trading models. These structural shifts combine with extreme dispersion across sectors to create conditions where individual stocks experience violent swings even as broad indices remain relatively stable.

Kawa highlights concerning dynamics in hyperscaler financing, noting that companies like Oracle are relatively more indebted than peers while the broader hyperscaler cohort has shifted to negative free cash flow funded by increasingly creative financing. He points out that profitability sources—hyperscaler debt and fiscal deficits—are historically safe until they aren't, following Minsky dynamics.

The conversation touches on how AI has replaced housing as the business cycle driver, with stock market wealth effects now rivaling home equity effects in driving consumption. The speakers discuss concerns about the perpetual nature of current dynamics: AI capex drives economic growth, which drives stock gains, which enables more consumption, which supports more economic growth. This circular dependency raises questions about sustainability. The episode concludes with discussion of how major AI developments—whether utopian or catastrophic—could fundamentally reshape market dynamics and consumer behavior.