When the model is free, what is still scarce? In this live conversation, I sit down with fellow Substack writer Compound With AI to talk about how AI is reshaping the investing process – from agentic workflows and Claude Code to the question of whether we have already built our last financial model.
We start with Terence Tao’s idea that mathematics is moving from an era of proof scarcity to one of proof abundance, and ask whether investment research is next. From there we compare notes on how our workflows have changed over the past few months, what the latest models make possible, and where we let agents run unattended while still insisting on doing certain work ourselves.
We also dig into Mostly Borrowed Ideas’ claim of having built a last financial model from scratch, and Thomas Peterffy’s counterpoint that AI is far better at assembling facts than at projecting the future. The conversation closes on what becomes scarce once research is abundant – judgment, capital allocation, and the trust between investors who know each other.
If you want to go deeper, join our online community meetup on using AI in the investing process on October 3, 2026: [LINK]
FIND US
Compound with René – compoundwithrene.com
Compound with AI on Substack – aiinvestinghq.com/
Thank you Dave Ahern, David Smith, and many others for tuning into my live video with Compound With AI! Join me for my next live video in the app.
DISCLAIMER: The content provided on this channel should be considered an educational resource and should not be construed as individualized investment advice, nor as a recommendation to buy or sell specific securities. The stocks and funds discussed on this channel are examples only and may not be appropriate for your individual circumstances. Before making any financial or investment decisions, I recommend you consult a financial planner or advisor to take into account your personal investment objectives, financial situation, and individual needs. In no event shall René Sellmann be liable to any viewer for any damages of any kind arising out of the use of any content published on this channel, including, without limitation, any investment losses, lost profits, lost opportunity, special, incidental, indirect, consequential or punitive damages.
