Can Muse Overcome Meta's Trust Issues?
Meta unveiled its consumer AI agent Muse at Connect, but questions remain over whether users can trust the ad-driven tech giant with sensitive data.
Stock photo for illustration only, not from the actual event
- Meta launched Muse, a Tamagotchi-style consumer AI device at its Connect event
- TechCrunch editors discussed Meta's surprising focus on consumers over enterprise tools
- Privacy concerns linger regarding Meta's ad-driven business model and data collection
During Meta's annual Connect event, CEO Mark Zuckerberg showcased the company's new AI agent, Muse, featuring a Tamagotchi-like wearable device designed specifically for adults. The move marked a sharp contrast to other major AI companies that are currently prioritizing enterprise software and coding tools.
On an episode of TechCrunch’s Equity podcast, hosts Kirsten Korosec, Sean O’Kane, and Anthony Ha discussed how Meta's consumer-focused announcements stood out during a busy week of new model rollouts from industry competitors like OpenAI and Anthropic.
Stock photo for illustration only, not from the actual event
Sean O’Kane tested Muse firsthand and found that while the agent successfully located some unclaimed money for him, the feature felt more like a novelty party trick than an essential daily tool. Furthermore, the test raised critical questions about whether users should trust Meta's AI with sensitive personal information.
"Meta's business is to sell you ads. And yes, they'll make the argument that the more they know about you, the more accurate and interesting the ads will be — wake me up when we get to that fever dream."
Sean O'Kane
Kirsten Korosec noted that upon downloading the app, she was initially relieved that it did not immediately pull context from her accounts on Threads, Instagram, or Facebook. However, as usage continued, the system steadily attempted to draw in data to learn more about the user's habits and preferences.
Meta's push into dedicated consumer AI hardware highlights the company's strategy to own the next computing platform and reduce reliance on third-party app stores. However, overcoming the inherent trust barrier remains a formidable challenge since the company's core business model relies heavily on targeted advertising.
Source: TechCrunch
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