Meta brings its Muse AI agent to Apple Watch and Wear OS
Meta has made its Muse AI agent available on Apple Watch and Wear OS, letting people talk to a personal assistant from their wrist.
According to TechRadar, Meta has released Muse compatibility for Apple Watch and for devices running Wear OS, so people can interact with their personal AI agent through a smartwatch.
The outlet reports that a custom Muse agent now appears on the watch, where it can answer questions and help users stay on schedule. TechRadar describes the agent as able to assist with everyday tasks from the wrist, not only from a phone.
Voice is central to the experience. TechRadar says users can speak with Muse's AI persona, named Jolly, directly through the watch. The outlet frames the tool as a way to keep people on time and aligned with their personal goals.
TechRadar also notes that the agent works best with broad access to a user's personal life, a trade-off it presents as the main condition for the assistant's usefulness. Further details about rollout and pricing are not yet clear.
Background
Smartwatches have long promised quick access to information without reaching for a phone, but their small screens and limited input have shaped what they do well. Voice has become one of the most natural ways to use them, which is why AI assistants have pushed further into wearables in recent years. Apple Watch runs Apple's watchOS, while Wear OS is Google's platform for watches made by a range of manufacturers. Because the two systems are separate, a service that works across both usually has to be built and maintained for each, following each platform's rules for permissions, background activity and battery use.
AI assistants have also changed what people expect from these tools. Earlier voice helpers mostly answered single questions or set timers. Newer systems are designed as agents that remember context, carry out multistep actions and act on a user's behalf. That usually requires access to calendars, messages, location, health data or other personal information. This access is the source of both the usefulness and the risk. Companies tend to describe these tools as personal, while privacy researchers and regulators ask how data is stored, who can read it and whether users can meaningfully control what is shared. Wearables add another layer, since they are worn all day and can collect continuous signals such as movement and heart rate.
Why it matters
The move signals where AI assistants are heading: away from a single app on a phone screen and toward always-available companions spread across devices. A watch is a natural place for this, because it is close to the body, always on and suited to short spoken exchanges. For people who already rely on reminders and schedules, a voice agent that answers from the wrist could reduce friction in daily routines. For platform owners and developers, it raises a harder question about how much an outside AI service should be able to see and do on a device that may hold health and location data. The access requirement puts that trade-off at the center. Users will have to weigh convenience against how much they are willing to share, and that choice depends on how clearly the settings explain what is collected, stored and shared. The outcome could influence how other AI companies design wearable features and how regulators approach agents that operate across many parts of a person's life.
What to watch
Watch how Meta describes its data practices for the watch version, including what is processed on the device and what is sent to servers. Look for clear controls that let people limit access by category, such as calendars or location, without losing core features. It will also be worth seeing whether the voice persona and scheduling tools work reliably in noisy, everyday conditions, and whether independent reviewers measure the battery impact. Finally, track whether Apple and Google adjust their platform rules for AI agents, and whether regulators in major markets ask questions about wearables that collect continuous personal information.
Viewpoints
Commentary from our columns: three angles on this story.
The Skeptic open questions and weak points
Every new assistant promises to keep you on track, so the first question should be what it needs in order to do that. The report says the agent works best with near-total access to your personal life. That is a big request for a device that sits on your wrist all day. Several things remain unclear. How much of what the watch hears or senses leaves the device? How long is it kept? Can you switch off the parts you do not want without breaking everything else? Voice features also tend to look better in demos than in a crowded train station or a noisy kitchen. Scheduling help is only useful if it gets the time right and does not invent commitments. Before anyone wears this as a daily companion, the company should be able to answer these questions plainly, not in a settings menu that takes an hour to understand.
The User what changes for people who use it
For most people, the appeal is simple: glance at your wrist, ask a question and get a straight answer without pulling out a phone. If it works, it could change small moments of the day, like checking what comes next, adjusting plans or getting a nudge to leave on time. The change is not only about speed. It is about habit. A voice companion that always knows your schedule becomes part of the routine, and people who lean on it may stop checking things themselves. That can be helpful for some and a quiet dependence for others. The useful question for ordinary users is not whether the feature is impressive but whether it still feels useful after a week, and whether it is easy to pause when they need a break. Start with one or two tasks, see how it fits, and expand only if it earns your trust.
The Rulebook privacy, safety and regulation
The central issue in this story is access. An assistant asked to keep track of a person's life needs information about calendars, messages, location and possibly health signals. Each category carries different privacy expectations, and each may fall under different legal protections depending on where someone lives. Good practice would separate what the agent must see from what would merely be convenient for it to see, and make that choice explicit during setup rather than buried in a long agreement. Users should be able to review what is stored, delete it and understand whether their conversations are used to train systems. Wearables deserve extra care because they are worn constantly and may capture signals people never intend to share. Regulators and platform owners will likely expect clear disclosures and easy off switches. Anyone considering this feature should read the permissions carefully and treat broad access as a deliberate decision, not a default.