The Journal.
The Journal.

Sep 30, 2026 · 21 min

Meta’s AI agent turns convenience into a privacy gamble

Our Reporter Tried Meta’s Viral AI Agent. Should You?

Muse can handle shopping, childcare, and calendars, but its mistakes and appetite for personal access expose the stakes of delegating daily life to AI.

3 key takeaways
  1. 1Muse completes useful personal tasks quickly, but a mistaken search can send users toward costly or irrelevant purchases.
  2. 2The agent’s convenience depends on access to email, financial, health, and calendar data, expanding the consequences of compromise.
  3. 3Agentic AI could reshape advertising and the web while forcing users to decide how much autonomy and personal information to surrender.

Don't miss

Muse confuses a California Pilates studio with a Virginia CrossFit gym while operating in a context involving payment access.

The brief

WSJ’s Nicole Nguyen tests Meta’s Muse by naming it the Terminator and handing it everyday tasks, from shopping for a bike rain cover to managing her calendar.

Muse is fast and useful when it works, but a Pilates referral search sends Nicole toward a California studio confused with a Virginia CrossFit gym—an alarming error for an agent with payment access.

Booking childcare and organizing a calendar reveal the appeal of delegation, while repeated requests for email, financial, and health data make convenience inseparable from surveillance risk.

The discussion turns to account compromise, prompt injection, Meta’s guardrails, and the company’s privacy reputation as safeguards struggle to match an agent’s growing reach.

Nicole sees agents as the next step after chatbots, but their failures could alter advertising and the web itself; after the test, she plans to erase her chats and reset Muse.

Featuring

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