In this episode of Monetary Matters, host Jack Farley interviews veteran macro trader Andy Constan, who posits that the current market, particularly in AI and technology, is experiencing a bubble. However, Constan distinguishes this from typical price bubbles, asserting that the 'E' (earnings expectations) rather than the 'P' (price-to-earnings ratio) is the true indicator of unsustainability. He draws parallels to historical bubbles he's witnessed throughout his career, including the dot-com era and the 2008 housing crisis, highlighting common underlying conditions such as new technologies, policy shifts, and parabolic price movements.
Constan explains that while valuations (P/E ratios) might not appear extreme due to soaring earnings, the projected earnings growth for AI companies and the S&P 500 as a whole far outstrips the available economic 'pie' (GDP growth). He points out that consensus estimates suggest an outsized portion of future S&P 500 earnings growth is expected to accrue to AI companies, a scenario he deems improbable without a significant rebalancing or a massive explosion in GDP. This imbalance, he argues, creates unsustainable expectations across the market.
The conversation also touches on the K-shaped economy, the role of policymakers in managing inflation, and the concentrated nature of AI investments among a few key players (semiconductors, frontier models, hyperscalers). Constan advises against shorting a bubble due to its unpredictable duration but suggests strategies like disciplined profit-taking and using options to manage risk in concentrated portfolios. He emphasizes that while he believes we are in a bubble, timing its collapse is notoriously difficult, and the eventual correction could be far more severe than a typical bear market.