**Topics Covered**
* The decay of institutional trust and unreliable economic data
* Public vs. private data and how investors should interpret it
* “Good news vs. bad news” in markets and earnings reactions
* AI-related CapEx, margin pressure, and the sustainability of Big Tech’s dominance
* Winner-take-all dynamics in AI and parallels to the fiber boom
* Productivity gains: small businesses vs. mega-cap tech
* Investing lessons from technical analysis, rituals, and “last box” routines
* The importance of presence, humility vs. hubris, and team culture
* Democratization of alternatives, fee/tax efficiency, and “hassle efficiency”
**Timestamps**
00:00 – The challenge of trusting economic data
03:13 – Who do you trust anymore?
05:07 – Public vs. private data and the “Strange Landing” thesis
07:38 – Good news, bad news dynamics
10:20 – Earnings estimates and labor data gaps
12:00 – AI-driven CapEx and narrow growth drivers
15:00 – Valuation multiples and eroding free cash flow margins
18:00 – Winner-take-all risks in AI
22:00 – Small business productivity vs. mega-cap adoption
27:00 – Rituals, technical analysis, and “the flush deck”
31:00 – Always say it out loud: transparency in investing
37:00 – Leadership lessons: presence, colleagues, and culture
45:00 – Democratization of alternatives and “hassle efficiency”
53:40 – Wrapping up: trust, skepticism, and humility

