Path Dependence under Adaptive AI Delegation

ArXi:2603.02950v2 Announce Type: replace-cross Repeated AI assistance can improve immediate task performance while reducing the skill available for future independent work. We develop a mathematical framework for this long-run tradeoff. The model tracks two state variables: a latent human skill level governing expected independent performance, and a delegation level representing the learner's evolving tendency to rely on AI.