Meta’s Muse Wants to Run Your Digital Life, but Can It Earn Your Trust?

Meta has introduced Muse, a personal AI agent designed to carry out everyday tasks rather than simply answer questions. Available initially in the U.S., Muse can connect to services such as email, calendars, payment platforms, health and fitness apps, shopping tools, and smart-home systems.

The agent can send emails, book travel, negotiate lower bills, complete forms, prepare plans, convert recipe videos into shopping lists, send invitations, and make purchases. However, its launch presents Meta with a major challenge: convincing consumers to grant it extensive access to their personal lives despite the company’s long history of privacy controversies, security failures, regulatory penalties, and lawsuits.

Key points

• Muse represents Meta’s biggest consumer AI initiative to date and its move beyond conversational chatbots toward AI that performs actions for users.
• Users choose which applications and services to connect, adding them individually to make the consent process more transparent.
• When a service has a public API, Muse can connect using credentials supplied by the user. When no API exists, it can interact with the service through a browser.
• Muse will be accessible through the web, iOS, Android, and WhatsApp, with integration into Meta’s AI glasses planned.
• The agent can continue working after the user leaves the app and learn from conversations to make unsolicited suggestions based on the user’s priorities.
• Muse is free at entry level, although users must provide a payment card when registering. Paid plans include Power at $20 per month and Maximum at $100 per month.
• Purchases are supported through Link by Stripe, with Shopify’s Shop Pay and 1Password integrations expected later.
• Meta says Muse operates inside a dedicated virtual environment called Muse Secure VM. A separate Sentinel agent monitors the environment while remaining isolated from Muse at the system level.
• According to Meta, Muse cannot see users’ passwords or payment methods, and conversations or personal data are not shared with Meta’s advertising systems.
• The article cautions that Meta’s technical and security claims still require independent investigation by security experts.
• Consumer trust may be the biggest obstacle. The article highlights Meta’s previous FTC settlements, privacy-order violations, exposed passwords, the Cambridge Analytica scandal, congressional scrutiny, and lawsuits involving harm to children.
• Meta is also making Muse feel more personal: users can name the agent, choose an avatar, customize its appearance, and determine how it communicates.

Key quotes

• “Muse is focusing on AI that can actually do things for you.”
• “Meta has a history of proclaiming one thing and doing another.”
• Muse reportedly runs in its own “dedicated, secure computer with its own browser.”
• “Time will tell” whether usefulness and personalization can persuade consumers to trust Meta with more personal information.

Implications

Muse signals that the next stage of consumer AI may be defined by autonomous action rather than conversation. If people are comfortable connecting their communications, schedules, purchases, health services, and other personal systems, AI agents could become deeply embedded in daily life.

But Muse’s usefulness depends directly on the degree of access users are willing to provide. That makes trust central to the product, not merely a supporting feature. Meta’s extensive documentation, isolated virtual environment, individual opt-in connections, and customizable interface all appear intended to reduce that barrier.

The central tension is clear: the more information and authority consumers give Muse, the more useful it can become, but the greater the privacy and security stakes. Meta must therefore prove that its safeguards work while overcoming a corporate history that may make consumers skeptical of its assurances.

Source: https://techcrunch.com/2026/09/08/meta-debuts-its-muse-ai-agent-will-consumers-trust-it/