The Optimization Trap examines a paradox in which systems designed to maximize efficiency can gradually erode meaning, resilience, and human judgment. Related to ideas such as Goodhart’s Law and critiques of metric-driven management, the framework focuses on how optimization pressures reshape institutions and decision environments over time. Rather than emphasizing individual decision fatigue or measurement misuse, the paper considers how optimization itself can function as a structural force within complex systems. The paper situates the Optimization Trap within the broader Reality Drift framework and connects it to two conceptual models: the Drift Equation (Drift = Efficiency – Context) and the Meaning Equation (Context × Coherence). Through examples drawn from education, work, AI design, and cultural systems, it explores how efficiency gains can coincide with longer-term fragility, simplification, or loss of contextual understanding.
A. Jacobs (Wed,) studied this question.