ReadingResearchRadarInvestment framework
Sign in / Sign up
← Back to reading
News3 min read·2026-10-13

Sherwood Market Head Luke Kawa: AI Capex Drives Extreme Speed and Breadth Divergence

Odd Lots podcast invites Sherwood News Market Head Luke Kawa to analyze 2026 markets. Kawa notes the S&P 500 is near all-time highs yet only 51.2% of constituents trade above their 200-day moving average, citing Goldman Sachs research that roughly half of this year's earnings growth is driven by hyperscaler capital expenditure. He argues the defining market characteristic is speed — the compression of time between repricing events — reflecting AI's structural dominance over earnings and the resulting narrow breadth.

ImportanceMaterialEvidenceE3 inspectableWrite-upStandard

2026-10-01 16:00 GMT+8

On October 1, 2026, the Odd Lots podcast invited Luke Kawa, Head of Markets at Sherwood News, to discuss the current market state. Kawa argued that the most significant feature of markets is speed — the pace of both news events and asset price fluctuations has accelerated. He noted that at the time of recording, the S&P 500 was 0.5% off its record high, yet only 51.2% of its constituents were above their 200-day moving averages. He compared this to the day after the dot-com bubble peak in March 2000, when similar proximity to highs coincided with extremely narrow breadth. However, he cautioned that similar low breadth appeared in 1998 before the market rallied for two more years, so breadth alone is not a sufficient predictor of tops but reveals structural fragility.

Kawa attributed this divergence to the dominance of AI capital expenditure. Citing Goldman Sachs research, he noted that approximately half of this year's expected earnings growth is driven by hyperscaler capex. This implies that market pricing increasingly relies on expectations of continued AI hardware and infrastructure investment rather than broad consumer demand. In this environment, rising interest rates impact AI companies (which can issue debt at scale) far less than rate-sensitive sectors like homebuilders. Kawa also observed that despite higher nominal yields, hyperscaler credit spreads did not widen significantly, indicating the market still views them as relatively safe borrowers.

Sign in / Sign up
ReadingResearchRadarInvestment framework

On fixed income, Kawa observed that rising global bond yields primarily reflect strong growth expectations. Notably, US Treasury breakeven inflation rates remained relatively stable despite higher nominal yields. Kawa expressed surprise at this, suggesting it might reflect investor confidence in central banks' ability to control inflation, or that bonds have become a 'residual asset' — bought only when growth concerns arise. He further argued that for bonds to be competitive with stocks, real yields need to rise, which competes with the real return expectations offered by AI investment.

Regarding retail investor behavior, Kawa mentioned Robinhood data showing net single-stock purchases peaked in late June, coinciding with Micron's earnings release. Although September is typically a slow month for retail trading, recent rebounds have been strong, recovering to approximately 89% of the June peak. He noted that retail investors are actively chasing volatility, particularly through options with four days or less to expiry. Kawa mentioned that every day when reviewing the data, there is a ticker in the top 25 that he does not recognize, reflecting the market's pursuit of extreme volatility.

On potential risk signals, Kawa argued that if the AI boom slows or financing becomes overly creative, the market faces adjustment risks. Currently, hyperscalers' free cash flow has turned negative, relying on debt to sustain capex. He referenced Greg Ip's observation at the Wall Street Journal that the AI boom is unusual in that it is not being financed by the fruits of AI itself — unlike the dot-com era, current construction funding comes primarily from tech platforms with large free cash flows from their core businesses. Kawa argued that if AI applications fail to deliver expected productivity gains and downstream consumer demand, the current valuation logic will face fundamental challenges. He summarized that the market needs to find someone to punish, and currently the punished are traditional consumer and cyclical stocks with slower growth but higher valuations.

Sources

  • 原文与论证omny.fm↗
Continue researching →