The separation — novel in the history of knowledge work — between competent output and the understanding of how the output works, produced by AI tools that make it possible to evaluate results functionally without comprehending the reasoning that generated them.
The comprehension gap is the space between competence and comprehension that AI has opened for the first time in the history of professional practice. Before AI, building and understanding were inseparable: the person who wrote the code understood it, the attorney who drafted the brief had read the cases, the physician who diagnosed the patient had reasoned through the evidence. The process of producing competent output was simultaneously the process of building understanding. AI has made it possible to produce competent output without the comprehension that competence traditionally required. The gap is invisible because the outputs are indistinguishable; the difference exists only in the process that produced them.
The Comprehension Gap
In The You On AI Field Guide
The gap is the structural condition that makes AI-era normalized deviance particularly resistant to detection. No metric currently in widespread use measures the depth of a practitioner's understanding. Organizations measure outputs — code shipped, briefs filed, patients