CONCEPT
Routine vs. Non-Routine Tasks
Autor's foundational distinction between tasks that follow explicit rules and tasks that require judgment, pattern recognition, or contextual adaptation — the axis along which automation has historically moved, and whose boundary AI has begun to redraw.
The routine/non-routine distinction is the load-bearing axis of Autor's task-based framework. Routine tasks are those that can be specified as a sequence of explicit rules — bookkeeping, assembly-line operation, basic data entry, tax preparation following standard cases. Non-routine tasks require tacit knowledge, contextual judgment, or interpersonal adaptation — medical diagnosis of ambiguous cases, persuading a reluctant client, designing a product for a market that does not yet exist. The distinction predicted which jobs would be automated by earlier generations of computing: routine ones, regardless of skill level. The framework predicted the hollowing-out of middle-skill routine work while both high-skill non-routine cognitive work and low-skill non-routine manual work remained resistant. AI has fundamentally destabilized this boundary by acquiring capabilities in tasks previously classified as non-routine.
In The You On AI Field Guide
The distinction's empirical power derives from its precision: it does not rank tasks by difficulty or status but by