CONCEPT
Dynamic Misfit
The AI-era failure of the <em>person-job fit</em> model: the gap between worker capability and job demand changes shape before the worker can close it, producing a moving target rather than a fixed distance to bridge.
Dynamic misfit is the extension of Maslach's person-job fit framework to AI-augmented work, where the job transforms faster than the person can adapt. Traditional person-job misfit is static: a gap exists between what the person can do and what the job requires, and the gap can be identified, measured, and addressed through training, reorganization, or role redesign. The gap has a fixed shape. Dynamic misfit is different in kind: the gap changes shape before the person can close it. The engineer who invests a week mastering a new competency discovers that the competency has been superseded by a further expansion. The experience is less like crossing a river than chasing a horizon. The cognitive cost of continuous recalibration is itself a burnout mechanism the traditional framework did not anticipate.
In The You On AI Field Guide
The person-job fit model assumes that jobs are relatively stable. The capabilities a role demands, the resources it provides, the values it embodies may evolve, but
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