Episode
From AI Hype to Hard Money | The Weekly Market Insight – March 8, 2026
- Published
- Mar 8, 2026
- Duration seconds
- 3678
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Summary
In this episode of Two Quants and a Financial Planner, Jack Forehand and Matt Zeigler highlight the most important investing insights from recent conversations across the Excess Returns podcast network. Drawing on discussions with Andy Constan, Rob Arnott, Kai Wu, Ben Hunt, Rupert Mitchell, Meb Faber and others, the episode connects ideas across macro, markets, AI, credit cycles and valuation. The conversation focuses on timeless investing principles investors can apply today, including how to evaluate expert opinions, how AI may reshape markets and jobs, what defines a true market bubble, why international stocks may be benefiting from global fiscal spending, and why the best opportunities in markets often come after long periods of underperformance. Topics covered in this episode How to evaluate expert opinions during major market events and filter signal from noise Andy Constan’s framework for judging credibility based on experience and confidence Why charts showing markets rising after wars are often misleading data mining The difference between believing in AI technology and believing AI stocks are good investments How AI could both replace and augment human work through the task based structure of jobs Rob Arnott’s definition of a market bubble using implausible growth assumptions Why many technology leaders ultimately fail to justify the expectations priced into their stocks The difference between software companies whose moat is code and those with durable intangible advantages How brand, switching costs, distribution and network effects protect enterprise software companies Why AI may be one of the most disruptive technologies in history and what that means for markets Meb Faber on the myth that the easy money has already been made in international and value s…