The article argues that AI buyers give away proprietary knowledge when they feed data into models, creating an asymmetry where providers learn from user inputs while customers gain little insight in return. It calls for enterprises to build private learning environments, control their evaluation metrics and data traces, and decouple orchestration from specific models to protect and compound their unique intelligence.