We Reunited David Rosenberg and Rich Bernstein After 20 Years | The Misallocation They Both See

This week on the Excess Returns Weekly Wrap, Jack Forehand and Matt Zeigler break down the AI capital spending boom, the risk that data center investment is crowding out housing and other parts of the economy, and what that means for markets. Featuring Richard Bernstein, David Rosenberg, Tian Yang, and Brent Donnelly, the episode covers AI CapEx, GDP growth, inflation, the K-shaped economy, AI ROI, and why rationality and Bayesian thinking matter more than raw intelligence for investors and traders.

Topics covered

• Why the AI and data center boom may be misallocating capital away from housing and infrastructure

• What the dot-com bubble taught Richard Bernstein about investing where capital is scarce

• Why AI related spending is approaching half of business CapEx while ex-AI investment is shrinking

• How today's K-shaped economy differs from the broad economic boom of the late 1990s

• The difference between AI's contribution to GDP growth and its share of total GDP

• Tian Yang's Kalecki-Levy framework for understanding spending, savings, income, and economic resilience

• Why a pullback in hyperscaler CapEx could weaken the spending and income loop

• Why AI return on investment is so difficult to measure and how the profit pool could broaden beyond hardware

• Brent Donnelly on why rationality and flexibility matter more than credentials or raw intelligence

• Why persistent bearishness can become a major investing mistake

• How Bayesian thinking, position sizing, and changing your mind help investors stay in the game

Timestamps

00:02 Rich Bernstein and David Rosenberg reunite and this week's lineup
04:10 The dot-com lesson: what happens when capital floods one sector
08:15 AI CapEx, inflation, and why today's economy is different from the 1990s
13:58 Kalecki-Levy: how spending and savings are keeping growth resilient
18:03 AI CapEx concentration, productivity, and the uncertainty around ROI
22:21 Brent Donnelly on why rationality beats intelligence
26:21 Strong opinions, flexibility, and Bayesian thinking
30:33 What traders and market makers can teach long-term investors

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No information discussed in this podcast should be construed as investment advice. Securities discussed may be held by the hosts and guests, their firms or their clients.