Yale School of Management analysis highlights that recent bans on personalized or surveillance-based pricing in states such as Maryland and Connecticut are only an early step in addressing consumer data use. The discussion points out that while tailored pricing tied to consumer data is restricted, the broader question becomes how companies define and manage trust when using new AI systems. The analysis frames “AI agents” as the next test case, focusing on who these agents are designed to serve and how their actions align with consumer interests and consent. It also raises concerns that even if one form of data-driven pricing is curtailed, companies may still deploy AI tools that use consumer data or operate in ways that affect customers without the same level of transparency. The core issue, as described across the sources, is corporate responsibility as regulation evolves: firms must clarify the purposes, governance, and accountability of AI agents, particularly when they interact with or make decisions affecting individuals. Overall, the coverage argues that trust-related challenges likely move beyond pricing toward broader AI-driven systems as adoption increases.