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Meta’s Muse AI works and creeps me out

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Emma Roth

September 12, 2026
Meta’s Muse AI works and creeps me out

Meta has officially launched Muse, an AI-powered productivity assistant designed to automate daily tasks like shopping and trip planning. Despite reaching the No. 2 spot on the U.S. App Store, the launch has seen more modest adoption compared to previous Meta releases like Threads.

Meta’s Strategic Pivot: Entering the Agentic AI Arena

Meta has officially entered the competitive landscape of AI-powered productivity tools with the launch of its new assistant, Muse. Representing a significant shift for a company historically focused on social networking and entertainment, Muse is designed to act as an agentic assistant capable of managing complex, multi-step tasks such as trip planning, email management, and online shopping. By positioning this tool as a means to "take the busywork off your plate," Meta is signaling a clear intent to capture the productivity market.

Early Adoption and Market Performance

Initial data from market intelligence firm Sensor Tower indicates that Muse has secured the No. 2 position on the U.S. App Store charts, with over 83,000 downloads on iOS. While this ranking suggests immediate visibility, the launch trajectory remains distinct from previous high-profile Meta debuts. For context, the launch of Threads saw over 4.3 million downloads on its first day, highlighting that Muse’s current growth is more measured and focused on a niche of productivity-oriented users rather than the mass-market social appeal of the company’s previous ventures.

Wall Street and Investor Sentiment

Despite the slower initial download velocity compared to Threads or Meta AI, Wall Street has reacted favorably to the news. Analysts at JPMorgan have upgraded Meta stock to a "buy," citing the strong initial reaction to the Muse AI agent as a positive indicator of the company's long-term potential in the AI sector. This investor optimism suggests that the market views Meta’s foray into agentic AI as a critical component of its future revenue diversification, moving beyond its core advertising-driven models.

The User Experience: Functionality vs. Privacy

While the functional capabilities of Muse have met expectations for an AI-powered assistant, the user experience has sparked discourse regarding privacy. Early testing reports describe an "unnerving" level of information that the assistant autonomously gleans about the user to perform its duties. This tension between high-utility automation and the depth of personal data required to achieve it remains a central challenge for Meta as it seeks to integrate Muse into the daily lives of consumers.

Broader Implications and Future Trends

Meta’s evolution into agentic AI reflects a broader industry trend where tech giants are shifting from simple chatbots to "agents" that actively perform tasks across the web. The success of Muse will likely depend on Meta’s ability to balance this intrusive data collection with user trust. As the company continues to refine the agent’s capabilities, the focus will likely remain on whether Muse can achieve the scale required to become an essential utility, ultimately proving that Meta can successfully transition from an entertainment-first ecosystem to a productivity-first powerhouse.

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