CONCEPT
The Satisficing Trap
Herbert Simon's 1956 term for selecting the first adequate option rather than continuing to search for the optimal — operationalized by AI systems whose outputs are calibrated to satisfy minimum criteria and thereby preempt the search for better.
Herbert Simon coined satisficing in 1956 to describe the tendency of decision-makers operating under cognitive constraints to select the first option meeting their minimum criteria rather than continuing to search for optimal alternatives. Satisficing is rational under conditions of limited time and limited information — it is the decision strategy that allows humans to function in a complex world without being paralyzed by perfectionism. Applied to AI-augmented production, satisficing becomes a structural vulnerability: the AI's generative architecture produces outputs calibrated to satisfy the builder's criteria, and the satisfaction forecloses the search that would have revealed the unsatisfied possibilities at the margins of the distribution.
In The You On AI Field Guide
The satisficing trap operates through a precise mechanism. The builder has a criterion — the code must work, the design must be functional, the analysis must be coherent. The AI generates an output that meets the criterion. The builder, rationally operating under time pressure