Meta’s Muse: A Consumer AI Bet Struggling With Trust

While competitors like OpenAI and Anthropic pivot toward enterprise tools to justify their soaring valuations, Meta is doubling down on the consumer market. The strategy leverages the company’s long-standing success in embedding platforms like Instagram and WhatsApp into the routines of billions. Muse, described by some as a sophisticated, Tamagotchi-style companion, represents a bold attempt to maintain that relevance in an era dominated by generative models.

Initial testing suggests a mixed reception. TechCrunch’s Sean O’Kane found the agent capable of "party tricks," such as locating unclaimed funds, but questioned its long-term utility. The core tension lies in the trade-off between convenience and privacy. To function as a truly personal assistant, Muse requires deep access to financial and personal data—the same data that fuels Meta’s primary business model. Unlike Apple’s evolving Siri, which users often view through a lens of hardware-centric privacy, Meta must overcome a deep-seated skepticism regarding how it uses personal information to target advertisements.