This paper argues that AI is dissolving data lock-in at three levels simultaneously: vendor-to-corporation, corporation-to-internal, and institution-to-individual. The third layer — personal data as a licensed asset class — is the mechanism missing from both the AI doomsday scenarios (Shumer, Citrini) and the corporate efficiency thesis (Siemiatkowski). The velocity differential between corporate adoption and individual adoption creates a temporal arbitrage with implications for institutional valuations, private credit structures, and aggregate demand. The paper introduces the concept of interaction capital and models a framework for individual data monetization.
Ward Myron (Mon,) studied this question.