Advanced AIs, like those in Starcraft, can dominate human experts in controlled scenarios but collapse when faced with a minor surprise. This reveals a critical vulnerability. Human investors can generate alpha by focusing on situations where unforeseen events or "thick tail" risks are likely, as these are the blind spots for purely algorithmic strategies.
Amateurs playing basketball compete on a horizontal plane, while NBA pros add a vertical dimension (dunking). Similarly, individual investors cannot beat quantitative funds at their game of speed, data, and leverage. The only path to winning is to change the game's dimensions entirely by focusing on "weird," qualitative factors that algorithms are not built to understand.
In hyper-competitive fields, the emergence of dominant strategies that seem "insane"—like the Fosbury Flop or AI's aggressive poker bets—signals evolution to the highest level. For investors, this means strategies that appear bizarre may represent the new, optimal approach in a market saturated by traditional thinking, rather than being mere anomalies.
As quantitative models and AI dominate traditional strategies, the only remaining source of alpha is in "weird" situations. These are unique, non-replicable events, like the Elon Musk-Twitter saga, that lack historical parallels for machines to model. Investors must shift from finding undervalued assets to identifying structurally strange opportunities where human judgment has an edge.
The immense performance gains in Rubik's Cube competitions, driven by a mere $36,500 prize pool, illustrate the hyper-competitive nature of finance. If such small stakes lead people to solve cubes with their feet faster than predecessors did with their hands, the astronomical rewards in investing create an almost insurmountable competitive environment for traditional strategies.
The host explicitly uses the podcast episode to talk through his "Theory of Weird Markets" because he has writer's block. He believes he can articulate the theory better verbally at this stage. This public "rough draft" serves to organize his thoughts and solicit feedback, acting as a tool to cure his creative block before committing the idea to writing.
When Garry Kasparov faced IBM's Deep Blue, he used "insane" opening moves to take the computer "out of the book" and away from its programming. Investors can apply this by focusing on situations where historical data is irrelevant, like spinoffs or paradigm shifts like AI's impact on power demand. This forces systematic strategies into uncharted territory where they are weakest.