Most AI memory features work by retrieving past interactions and appending them to a prompt, creating the appearance of personalization without changing how the model actually reasons. This article argues that real personalization requires understanding user motivations, context, and intent rather than simply storing behavioral history. The companies that build systems capable of capturing and compounding that understanding may create the next major moat in AI-powered software.