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Michael Fritzell writes Asian Century Stocks, a research service covering undercovered equities across Asia. He spent sixteen years on the buy side in Hong Kong, Singapore, and Indonesia before leaving in 2021 to publish full-time, and now writes deep dives on companies that receive almost no analyst coverage.
This discussion took place live on September 2nd, 2026, on the MicroCapClub Community. Join MicroCapClub and unlock the ability to listen and participate live in these discussions - microcapclub.com/#join
In this conversation, Michael explains how he uses generative AI in his research process: the saved prompts he runs on any new ticker, including a bull-versus-bear project and one built to surface red flags in the accounts, and where he refuses to use these tools at all, namely calculations and writing. He also talks about where he finds ideas that AI can't commoditize, mainly insider transaction data and broken IPOs in Asia, and why he shifted from buying low P/E stocks to targeting a prospective IRR and selling once it falls below his cost of capital. He argues that faster research doesn't automatically mean better returns, which leads to the question of why an investor would cover two hundred stocks a year instead of twenty.
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Chapters
Intro
Is AI making us dumber?
Where you shouldn't outsource to AI
Benchmarking ChatGPT, Gemini, Claude and Grok
Getting up to speed on a company in hours
The bull vs bear prompt
What he won't use AI for
Why AI writing loses the reader
Brainstorming, obscure data and summaries
Using Claude for error checking
Writing by hand in an age of AI slop
What AI changed in his own business
From low P/E to prospective IRR
Knowing when to sell
Idea generation: insider transactions
Broken IPOs and borrowing from others
Red flags prompt for Asian due diligence
Why he still writes 40-page deep dives
How to prompt: give it context
Can AI run the whole investment process?
Why cover 200 stocks instead of 20?
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