Meta’s Muse AI agent independently tackles shopping and travel

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Meta’s Muse AI agent independently tackles shopping and travel

Developing story first seen 2 hours ago

· 2 hours ago

Meta has released Muse, a personal AI agent it says can carry out tasks such as online shopping, drafting and sending emails, planning trips, and other productivity work on a user's behalf, with "no technical experience" required to set it up. Unlike Meta's existing AI assistant, Muse acts more autonomously: once given a goal, it builds a plan, coordinates time and resources, and works on tasks independently rather than simply answering questions, reflecting Zuckerberg's push to make proactive AI agents mainstream.

Muse has its own apps and website, and connects to Meta's platforms as well as third-party services including Google Workspace, Ticketmaster, OpenTable, Spotify and Apple Health, and can reportedly build its own connections to other services with public APIs. It seeks user approval before higher-stakes actions like sending emails or making purchases, and runs on a dedicated virtual machine to keep each user's data separate, though Meta acknowledges the agent "can and will still make mistakes." Users can opt out of having Muse conversations used for AI training, and Meta says it won't feed chat details directly into ad targeting, though shopping activity could indirectly influence ads; pricing details, including any future subscription requirement, remain unclear.

  • Meta launches Muse, an autonomous AI agent for everyday tasks
  • Connects to Meta and third-party apps like Google Workspace, Spotify
  • Requires approval for risky actions; subscription plans still unclear

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Meta has launched Muse, a new AI "agent" designed to carry out tasks on a person's behalf rather than just answering questions. Instead of chatting back and forth, it can be given a goal, such as booking a trip or handling emails, and will plan and carry out the steps itself, asking for permission before anything sensitive like sending a message or making a payment.

The tool sits alongside Meta's existing AI assistant but works differently, reflecting a broader push by chief executive Mark Zuckerberg to make autonomous AI agents a mainstream part of everyday tech. Muse connects not only to Meta's own apps but also to outside services such as Google Workspace, Ticketmaster, OpenTable, Spotify and Apple Health, extending its reach well beyond Meta's platforms.

This matters because it marks a shift from AI that responds to AI that acts, raising questions about reliability, data privacy and how such tools might be paid for in future. Meta has acknowledged the system can make mistakes, and details such as pricing and any subscription costs have not yet been fully clarified.

Both sides, in good faith

The strongest fair case each way — we don't pick a winner.

The case for

Supporters see Muse as a genuinely useful step forward in consumer AI, sparing people the tedium of booking travel, managing emails and comparing purchases by letting a capable agent handle the groundwork while still requiring explicit approval before anything consequential happens, such as spending money or sending a message. They point to the safeguards Meta has built in, including isolated virtual machines per user, an opt-out from having conversations used for training, and a promise not to feed chat content directly into ad targeting, as evidence that convenience need not come at the expense of user control. For this camp, broadening access to agentic AI without requiring technical skill is a democratising move that lets ordinary users benefit from automation previously reserved for developers.

The case against

Sceptics worry that handing a Meta-run agent broad access to email, calendars, health data, payment details and third-party accounts creates a significant new privacy and security exposure, especially given the company's history with data practices and targeted advertising. They note that Meta itself admits the system will make mistakes, and that even indirect influence of shopping activity on ad targeting, alongside unresolved questions about future subscription costs, leaves users without full clarity on what they are trading away. For these critics, ceding meaningful decision-making and access to a profit-driven platform's autonomous agent raises legitimate concerns about dependency, error accountability and the erosion of user oversight, regardless of the approval prompts built into higher-stakes actions.

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