Key facts
- Meta's new AI agent, Muse, was a central focus at the company's annual Connect event.
- Muse is designed as a consumer-facing AI agent, contrasting with enterprise-focused models from competitors.
- A user found unclaimed funds using Muse, but described the feature as a "party-trick type thing" rather than a driver of ongoing usage.
- Concerns were raised about users' trust in Meta's AI handling sensitive information due to Meta's primary business being advertising.
- Unlike some expectations, Muse did not immediately integrate with users' existing Meta accounts (Threads, Instagram, Facebook) upon initial use.
Meta's new AI agent, Muse, was a prominent announcement at the company's annual Connect event, signaling a strong push into consumer-facing AI features. While competitors like OpenAI and Anthropic are focusing on enterprise tools, Meta is betting on a more personal AI experience, exemplified by Muse, which is described as a Tamagotchi-style device for adults.
During a discussion on TechCrunch's Equity podcast, the AI's consumer-centric approach was debated. Kirsten Korosec suggested this strategy plays to Meta's established strength in embedding itself into users' daily lives through platforms like Facebook, Instagram, and WhatsApp. However, Sean O’Kane, who tested Muse, found its initial utility limited, likening features like finding unclaimed money to a "party trick" rather than a driver of sustained engagement.
A significant hurdle for Muse is user trust, particularly concerning the handling of sensitive personal information. O'Kane noted that his initial willingness to use Muse stemmed from its lack of immediate integration with his Meta accounts, making him feel like a stranger to the AI. He contrasted this with Apple's Siri, which he trusts more due to Apple's business model not being centered on advertising. Meta's core business of selling ads raises concerns that increased user data collection will primarily serve to enhance ad targeting, a prospect O'Kane dismisses as a "fever dream."