CONCEPT
Drift to Low Performance
The imperceptible ratcheting-down of standards that occurs when AI output becomes the new reference point for what counts as acceptable work.
Meadows's name for the system trap in which standards decline through a sequence of individually acceptable reductions, each of which becomes the reference point for the next comparison. The mechanism is cumulative and invisible: no single step triggers alarm, but the aggregate trajectory represents substantial decline. In the AI ecosystem, the drift operates on the quality of human cognitive engagement. When AI tools produce output that is good enough — competent, plausible, structurally sound — the standard for what counts as acceptable work gradually adjusts to match the tool's output.
In The You On AI Field Guide
The first AI-generated draft is compared to a skilled human's draft and found to be slightly less nuanced but dramatically faster. The comparison is favorable on balance. The AI draft is accepted. The standard shifts: acceptable work now includes output produced without the deep engagement that characterized the previous standard. The next comparison is made against the new standard. The AI draft meets it. The standard shifts again.
Each shift is imperceptible.