Meta’s Muse launches on iPad just a month after its mobile debut

Your AI assistant now has a dedicated iPad app, making it easier to manage your digital life from a larger screen.

Meta's AI assistant, Muse, has launched on iPad, a mere month after its debut on iOS and Android. This rapid expansion to a tablet platform contrasts sharply with the 15 years it took Instagram to release a dedicated iPad app, indicating Meta's accelerated focus on AI integration. Since its September 8th launch, Muse has garnered over 6.6 million installs. The assistant allows users to manage emails, meetings, and bills, and perform tasks like booking reservations and shopping by connecting to various services through "connectors." The iPad version enhances this functionality by adding new business-oriented connectors for platforms like Asana, Canva, QuickBooks, and Zoom, alongside connectors for Meta's own ad accounts and retail partners such as Walmart and Best Buy. Meta is also collaborating on an open standard to help AI agents identify themselves to businesses, addressing issues where websites mistake them for bots.

Meta's swift deployment of Muse on iPad signifies a strategic pivot towards prioritizing AI-driven services, evidenced by its speed compared to traditional app development timelines for other Meta products. The expansion of Muse's 'connector' ecosystem to include business tools suggests a broader ambition for the AI assistant beyond personal task management, aiming to integrate deeply into professional workflows. This move also signals Meta's intent to capture a significant share of the emerging AI agent market by offering a versatile tool capable of operating across multiple platforms and services.

The development of an open standard for AI agent identification is a critical step toward fostering trust and interoperability between AI tools and online services. By addressing the 'bot detection' issue, Meta is not only smoothing the path for Muse but also for the entire ecosystem of personal AI assistants, potentially accelerating consumer and business adoption. This initiative could set a precedent for how AI agents interact with the web, influencing future platform policies and the design of AI-powered automation.