Author ran AI-driven Buffett/Munger-style screen plus an AI disruption framework over the S&P 500 and highlights FICO, Visa and Alphabet as the most instructive results, arguing investors should know which moats AI reinforces versus erodes.
FICO — LONG The author argues FICO's credit scoring model, used in over 90% of US lending decisions, is a regulatory-grade moat that AI strengthens rather than threatens, since machine learning improves the core product and widens its addressable market. He frames it as the kind of high-pricing-power, essential-service business Buffett would favor, with AI deepening the moat over the next five years. The stated limitation is that all scores are informed estimates, not predictions.
AI doesn't threaten credit scoring. AI IS credit scoring. Machine learning makes their core product better, not obsolete.
V — LONG The author argues Visa's position as payment rails rather than a lender means AI-driven fraud detection and more digital transactions increase volume flowing through its network, reinforcing rather than disrupting the moat. He notes Buffett already owns it and presents the framework as validating that holding over the next few years. He cautions that all scores are informed estimates rather than predictions.
Visa doesn't lend money. It runs the payment rails. AI improves fraud detection and enables more digital transactions, which means more volume flowing through Visa's network. The moat gets reinforced, not disrupted.
This Reddit post, published February 20, 2026, features u/Complex_Aardvark_661 discussing FICO, V. 2 trade ideas extracted by AI with direction and confidence scoring.
Speakers: u/Complex_Aardvark_661 · Tickers: FICO, V