The rapid ascent of Muse to the top of Apple’s App Store reveals a troubling shift in consumer tech. Marketed as an autonomous assistant, the tool functions by ingesting vast swaths of personal data—from bank passwords to private chat logs—to anticipate user needs. Critics, including Signal Foundation president Meredith Whittaker, argue this creates a dangerous ripple effect. Because the AI builds detailed, hourly updated profiles on everyone in a user’s network, an individual’s decision to use the app compromises the digital safety of their entire social circle.
Meta maintains that Muse operates via user-approved permissions and isolated virtual environments, yet reality has proven messier. Users have reported the assistant accessing supposedly off-limits text messages, while others have inadvertently triggered the disclosure of sensitive information like home addresses. Cybersecurity experts, such as the EFF’s Eva Galperin, point to the use of dark patterns in the interface that nudge users toward over-sharing before they fully grasp the implications. This mirrors a long-standing Silicon Valley practice of offloading the burden of privacy onto overworked consumers while reaping the benefits of massive data harvesting.
Beyond simple data leaks, the rise of agentic AI threatens to nullify the protections of end-to-end encryption. When an app reads messages after they are decrypted on a device, the encryption’s purpose is effectively gutted. Experts are now calling for a fundamental shift in accountability, arguing that privacy should not depend on a user’s technical literacy. Instead, they propose strict liability for companies building these ultra-hazardous tools, moving the legal burden away from the consumer who clicks "accept" and onto the corporations designing systems that profit from the erosion of our collective digital boundaries.

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