Abundance Institute argues AI agents enhance consumer privacy

Neil Chilson, head of AI policy at the Abundance Institute, argues that agentic AI flips the traditional internet bargain by allowing individuals to use their own data for personal benefit rather than for ad sales. He contends that agents provide agency and convenience, enabling tasks previously reserved for the wealthy, such as managing finances and scheduling. Chilson highlights that agents can enhance privacy by automating burdensome tasks, such as using Tor or NoScript, or opting out of data brokers. He cited using Meta's Muse to unregister from five major U.S. data brokers with a six-word prompt. While acknowledging security risks, Chilson argues that the status quo of data collection is worse and that agents can be made safer through tiered permissions and user verification. He believes the market will drive the development of more secure, trusted agents, similar to how secure messaging platforms evolved, and that legal liability structures will incentivize companies to protect consumers. Chilson argues that AI agents should be trusted with user information because they empower individuals to manage their own data, improve privacy through automation, and offer significant convenience benefits that outweigh manageable security risks.