CONCEPT
Compounding Loss
The self-reinforcing erosion of cognitive capacity across iterations — each cycle depositing one less layer of depth than the previous, with no natural stopping point.
Compounding loss is Wolf's term for the temporal dimension of cognitive erosion in the AI age. The loss does not occur once and stabilize — it accumulates. A practitioner who has not fully developed deep reading circuits produces shallow analyses. Those analyses become the reference against which junior practitioners calibrate. Seniors whose own circuits have weakened evaluate junior work against a lowered standard. Each iteration deposits less depth than the previous one, and the deposit rate approaches zero asymptotically — declining steadily toward a condition in which the organizational or civilizational knowledge base is wide but shallow. The mechanism has no natural stopping point, because the capacity that would detect and correct the decline is the capacity being eroded.
In The You On AI Field Guide
The mechanism operates at multiple levels simultaneously. At the individual level, each AI-mediated task completed without deep cognitive engagement weakens the circuits that deep engagement would have exercised. At the organizational level, outputs produced through weakened circuits become the standard against which new