In early September, Meta launched Muse, a personal AI agent designed to actively help users achieve their goals. At Connect 2026, Meta announced plans to bring Muse to its AI glasses within the next few months. The underlying aim is to reduce the need to operate a smartphone. With Muse integration, AI glasses could evolve from devices that answer questions and execute individual functions into an interface that uses real-world context to handle multistep tasks.

The table below outlines the anticipated differences between existing Meta AI powered by the Muse model and the integration of the personal agent Muse with glasses across five key areas of experience: communication and recording, information discovery and travel, shopping, scheduling and work, and exercise and diet.

Key User Experiences Before and After Muse Integration

Shift in perceived value: from convenient access to functions to task completion and repeated use

Usage area Before Muse integration Expected changes or planned features with Muse
01  Communication and daily recording Calls, messages, and photography
Requested functions executed individually
Connect conversational context to follow-up tasks
Help organize records and draft sharing content [Expected]
02  Information discovery and travel Questions about scenes and real-time translation
Bookings handled separately after checking information
Use on-site information together with user preferences
Connect to searches for itinerary and booking options [Expected]
03  Shopping and purchasing Product recognition and information queries
Purchases completed in an app or on the web
Connect products in view to comparison and purchase
Service integration and user approval required [Planned]
04  Scheduling and work Notifications, notes, and individual commands
Users handle tasks across apps themselves
Handle related work in the background during conversations
Link multistep tasks through connectors [Planned]
05  Exercise and diet Exercise information, music, and connected devices
Records and plans managed in separate apps
Support meal logging and exercise guidance [Planned]
Recommend and adjust goals based on history [Expected]

Changes Users May Experience and Industry Implications

Immediately after purchase, users may first recognize the value of straightforward functions such as calls, music playback, and photography. Muse’s additional value lies in capabilities such as comparing products in view and organizing purchase candidates, or completing voice-requested tasks through other services, rather than replacing these basic functions. More frequent use will depend on repeated experiences in which users need to provide fewer explanations, switch apps less often, enter less information manually, and receive accurate results. The focus of competition could also shift from camera specifications toward the range of connected services and the reliability of task completion.

Directions for Display and Technology Development

Audio glasses are likely to suit brief conversations and notifications; camera glasses, the capture of real-world scenes; and display glasses, visual confirmation of comparisons, routes, and approval details. For displays, efficient delivery of short, readable information outdoors and the size of the optical system are important, although displays are not essential for every pair of glasses. Low-power sensing, communication latency, and speech recognition in noisy environments are among the challenges that will determine sustained use. The accuracy of health records and the scope of personal data processing may also limit practical applications, making uses that reduce repetitive tasks while on the move the most likely drivers of early adoption.

Looking ahead, Muse is expected to contribute significantly to the evolution of smart glasses from devices offering individual functions into terminals for AI services. Meta also aims to expand its commercial value beyond one-time hardware sales by further developing AI services to generate recurring software service and subscription revenue.