Meta’s Muse Faces a Bigger Challenge Than AI: Can Users Trust It?
Meta's new AI agent, Muse, takes a consumer-focused approach, contrasting with other AI companies' enterprise strategies. While Muse offers novel features, deep concerns about user trust, data privacy, and Meta's ad-driven business model persist as significant challenges for its long-term success.
At its annual Connect event, Meta unveiled Muse, its new AI agent, as CEO Mark Zuckerberg pushes to integrate AI more deeply across the company’s platforms. The launch comes as major AI companies such as OpenAI and Anthropic increasingly target enterprise applications and coding, while Meta is placing greater emphasis on consumer-facing AI, including a Tamagotchi-style AI device aimed at adults.
The strategy could give Meta a distinct position in the consumer AI market by building on the reach of Facebook, Instagram and WhatsApp, but it also raises a question the company has struggled with for years: will users trust Meta with more of their personal lives?
That concern featured prominently in TechCrunch’s Equity podcast, where co-host Sean O’Kane described an experience with Muse that included helping him find unclaimed money, but questioned whether such features offer enough repeatable value to keep users coming back.
More importantly, he raised concerns about allowing an AI connected to Meta’s advertising-driven business model to access sensitive information such as credit card details or Gmail accounts to perform tasks like cancelling subscriptions or identifying duplicate charges.
O’Kane initially found Muse less intrusive because it did not immediately attempt to connect with his existing Meta accounts, but said the agent began seeking more personal context as he used it, reinforcing his concerns about privacy and trust.
The comparison with Apple’s upgraded Siri highlighted the deeper challenge facing Muse: users may be willing to give an AI access to sensitive information when they believe the company behind it has stronger incentives to protect that information. O’Kane said he would be more comfortable sharing such data with Siri because he trusts Apple’s business model more than Meta’s advertising model, rather than simply because of cybersecurity considerations.
Muse may therefore have to prove more than that it can perform impressive one-off tasks; Meta will need to demonstrate that its consumer AI can deliver sustained usefulness without making users feel that greater personal access simply creates more data for advertising.