Meta’s Muse Hits the iPad One Month After Mobile Launch, Signaling AI Ambitions

Rapid Adoption and Platform Expansion

Meta reinforced its commitment to artificial intelligence on Wednesday by releasing a dedicated iPad version of its Muse assistant, mirroring the swift rollout seen on the iPhone just a month earlier. The timing underscores a strategic push to embed AI tools across Apple’s tablet ecosystem, a milestone that took Instagram roughly 15 years to achieve despite persistent user demand. The move is facilitated by Muse’s text‑focused interface, where image and video resolution matter less, making the iPad adaptation comparatively straightforward.

Since its debut on iOS and Android on September 8, Muse has already amassed an estimated 6.6 million installs, according to Sensor Tower. The app functions as one of dozens of consumer‑facing AI agents, allowing users to link email, calendar, billing, and other accounts, and to delegate tasks such as reservation booking, grocery ordering, goal setting, and online purchases.

Expanded Connector Ecosystem

To broaden its utility, Meta has been onboarding third‑party partners that appear in Muse as “connectors.” Users can choose which services to activate, giving them control over how much of their digital life the AI manages. The latest iPad update adds connectors for small‑business tools including Asana, Canva, Dropbox, Figma, QuickBooks, GitHub, Klaviyo, and Zoom, as well as Meta’s own ad accounts. Additional integrations such as Notion and Granola have also been introduced.

Retail Partnerships Enable Direct Shopping

Meta recently announced collaborations with major retailers—Best Buy, Gap, Sephora, Walmart, and Wayfair—allowing Muse to navigate those sites and complete transactions on behalf of users. While the capability represents a step forward in hands‑free commerce, the technology still faces friction, as some websites mistakenly classify AI agents as bots and block access.

Open Standard Initiative to Clarify Bot Identity

On Tuesday, Meta revealed that it is cooperating with industry peers to develop an open standard that would let personal AI agents signal their identity to businesses. Such a protocol aims to help companies differentiate legitimate bots from malicious ones, smoothing the path for AI‑driven services like Muse to operate across the web.