AI-powered trading is the latest shiny object designed to make investors feel smarter while quietly encouraging more trading (and more profits for platforms). Don and Tom break down why letting an “AI agent” execute your personal market theories is just automated speculation—no edge, no accountability, and no evidence it works. They contrast this with decades of data showing that even professionals fail to beat simple index investing. The episode also tackles a listener question on Roth conversion timing (spoiler: don’t overthink it) and a new “no-dividend” ETF gimmick that raises more questions than it answers. The throughline: complexity sells—but simplicity wins.
0:05 AI trading tools enter the mainstream—and why they’re a bad idea
1:34 “Public” and AI agents: your ideas, their execution, your risk
3:12 The illusion of having a “market edge”
5:41 Removing emotion vs. removing common sense
7:09 Robinhood déjà vu and engagement-driven trading
10:15 The real goal: more trades, more profit (for them)
11:12 Hedge funds, cheating, and Buffett’s famous bet
12:51 Day trading data: ~1% succeed (barely)
13:55 SPIVA results: active managers consistently lose
15:21 Why your AI-powered strategy won’t beat the market
16:22 Listener Q: Roth conversions and “dollar-cost averaging”
17:19 What a Roth conversion actually is (and key rules)
19:22 Why DCA is mostly a myth outside regular income investing
20:23 Timing Roth conversions: sooner is usually better
21:50 Listener Q: XDIV “no-dividend” ETF explained
23:57 How dividend avoidance actually works (and doesn’t)
25:10 Gimmick or innovation? Costs, tracking error, and taxes
26:34 Why waiting years beats chasing new products
28:00 Q1 performance: U.S. vs. globally diversified portfolios
28:15 The real diversification lesson investors ignore
29:27 Free portfolio review pitch (and karmic marketing)
