Induced Demand (Cognitive Labor)

Induced demand describes the phenomenon—well-documented in transportation economics—by which increasing the supply of a resource (highway lanes) generates new consumption (more driving) that fills the added capacity, leaving congestion unchanged or worse. The mechanism operates because latent demand exists but is constrained by cost; remove the constraint and demand expands. Heilbroner's simulation applies this to cognitive labor: AI tools reduce the time-cost of knowledge work, enabling workers to complete tasks in forty minutes that previously required four hours. The naive expectation is that freed time becomes leisure. The actual outcome, documented in the Berkeley study, is that freed time fills with additional tasks—either because the worker volunteers (the internal imperative to achieve) or because managers observe the efficiency gain and adjust expectations upward. The productivity gain does not reduce work; it induces new work, and the induction operates faster than the worker's capacity to establish boundaries, producing the intensification rather than relief that optimistic predictions assumed AI would deliver.