A new paper from MATS proposes that price recursion serves as a rational theory of reward. The author maps market dynamics to Markov Decision Processes and Bellman equations. This framework treats markets as equivalent to machine learning architectures. It provides a mathematical basis for aligning economic incentives with AI objective functions.