Chess is a terrible comparison to the stock market. Chess is a closed system with defined rules, complete information, and—given a position—an objectively best move.
Markets are nothing like that. They’re dynamic, probabilistic, adaptive, and driven by constantly changing variables and human emotions and behavior.
Anyone using chess as proof that AI can simply “solve” the market fundamentally misunderstands markets and market efficiency.
AI is an incredibly powerful tool—but it is not a strategy, and it is not a substitute for judgment.
At Minervini Markets, we use some of the most sophisticated AI tools and programming available. But we use AI for what it is: an assistant that enhances research, analysis, and decision-making—not the final arbiter.
The edge isn’t AI.
I respect Mark enormously, but history makes me very cautious about betting against what AI will eventually be able to do.
Chess was supposed to require uniquely human intuition and creativity. Then Deep Blue beat Kasparov.
Lee Sedol predicted he would beat AlphaGo 5-0 or 4-1. AlphaGo beat him 4-1, including moves that initially looked wrong even to elite Go players.
For decades, protein folding was one of biology’s hardest computational problems. Then AlphaFold started predicting protein structures at a level that fundamentally changed the field.
Markets are obviously a different problem.
But “AI won’t be able to do this at a high level” has not aged particularly well as a category of prediction.
So I’ll take the other side of the bet.
I’m going to put the best AI models against the market publicly, with every decision and every dollar tracked.
Let’s see what happens.