Loss Aversion

Loss aversion is the single most empirically robust finding of the heuristics-and-biases program: humans weight losses approximately twice as heavily as gains of equivalent magnitude. Documented first in prospect theory's value function and replicated across financial markets, medical decision-making, organizational behavior, and professional identity, the asymmetry is not a bug but a feature — an evolutionary inheritance from environments where missing a threat was lethal and missing an opportunity was merely inconvenient. In the AI transition, loss aversion operates with particular force on experienced professionals, whose years of accumulated expertise constitute an endowment whose devaluation is felt as existential loss, even when the objective gains from AI amplification are larger than the losses. The cognitive architecture was not built to process this trade fairly.