Ericsson's uncomfortable finding — documented across medicine, teaching, and other professions — that accumulated experience without deliberate practice conditions produces no expertise growth, and the AI era's amplification of this pattern.
One of Ericsson's most disturbing findings, replicated across multiple professional domains, is that practitioners with decades of experience frequently perform no better — and in some cases measurably worse — than practitioners five years out of training. Physicians' diagnostic accuracy plateaus early in their careers. Teachers' instructional effectiveness shows similar arrest. Drivers with twenty years of experience are no safer than drivers with two. The common element is the absence of the specific conditions that deliberate practice requires. These practitioners accumulated hours. They did not accumulate the effortful, boundary-testing, feedback-driven engagement through which representations grow. Their expertise arrested early, was reinforced by confirmatory feedback on routine cases, and was never tested against the disconfirming evidence that would have forced revision. The AI era threatens to extend this arrested-development pattern from the minority of professions where it has been documented to the majority where the pre-AI developmental friction used to prevent it.