CONCEPT
The Friction Requirement
Ericsson's empirical thesis that the specific difficulty of engagement at the boundary of capability is not a regrettable byproduct of learning but its mechanism — and that tools eliminating difficulty eliminate development unless the difficulty is deliberately preserved.
The friction requirement is the bridge between Ericsson's empirical research and the challenge AI poses to human development. It states, with the precision of a research program that has been testing it across domains for forty years, that difficulty is not optional for development. The specific form of the difficulty must satisfy identifiable conditions — it must be effortful, targeted at the boundary of capability, feedback-rich, and allow iterative refinement — but the presence of difficulty is non-negotiable. When these conditions are present, the cognitive system is forced to adapt, and the representational architecture of expertise is constructed. When they are absent, the system maintains its existing architecture regardless of how many hours of practice accumulate. This is the counterintuitive truth that the desirable-difficulties research of Robert and Elizabeth Bjork has documented across decades of replication: conditions that make practice feel smoother and more productive in the moment frequently make it least developmental, and conditions that make practice