Everyone's talking about what AI is going to disrupt. The question most investors aren't asking: What happens after that disruption, and who actually wins? The obvious answer and the right answer are rarely the same thing. 

In this episode, Greg introduces a framework he first encountered through Howard Marks: first-level vs. second-level thinking. First-level thinking reacts to what's in front of you. Second-level thinking follows the chain of consequences and the ripple effects most people ignore. In an era where AI can reshape an industry in months, the gap between those two ways of thinking has never been more costly to ignore.

From there, Greg walks through real portfolio positions—Intel (INTC) and Accenture (ACN)—to show how second-level thinking plays out in practice. He also runs through a handful of names—Union Pacific (UNP), UPS (UPS), GE Vernova (GEV), Chevron (CVX), Lockheed Martin (LMT), General Dynamics (GD), Johnson & Johnson (JNJ), and Merck (MRK)—to illustrate which kinds of businesses AI threatens, which ones it quietly strengthens, and why some of the most "boring" dividend stocks may be the most defensible investments of the next decade. The core argument: brands, software, and moats built on perception are vulnerable. Logistics, infrastructure, and physical production are not, and AI may actually make them stronger.

Topics Covered:

[00:41] Introduction & why AI matters for dividend investors 

[04:47] First-level vs. second-level thinking — the Howard Marks framework 

[08:43] AI is accelerating disruption — and may be technology's own worst enemy 

[11:21] Are strong brands and moats as durable as we thought? 

[13:50] Why physical infrastructure may be the best AI defense 

[15:19] Intel ($INTC) — patience, conviction, and the US chip story 

[18:16] Accenture ($ACN) — the market's fear may be first-level thinking 

[22:21] Union Pacific ($UNP), UPS ($UPS) — logistics AI can't replace 

[24:27] Rapid-fire second-level takes: GEV, CVX, LMT, GD, JNJ, MRK 

[28:08] Final takeaway: the game has changed, sustainable dividend growth requires a new lens 

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Disclaimer: Past performance does not guarantee future results. This episode is for educational purposes only and is not investment advice.

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