Meta Muse in Full: The Era When AI Agents Make Phone Calls for You

"It is not a chatbot that stops after one exchange. Close the app and it keeps working in the background toward long-term goals."

Meta's AI agent 'Muse', launched in September 2026, completely surpasses the limits of existing AI assistants. But behind that convenience lurks serious controversy.

1. Core Features — What Muse Can Do

Basic Nature

Services It Can Integrate With

Proactive Actions (This Is the Core)

"The AI calls and books the restaurant for you." That is the reality of 2026.

2. Platforms and Pricing

3. Security and Privacy System

The security structure Meta disclosed:

Muse Secure VM

Your Muse acts inside a dedicated cloud secure virtual machine (VM) thoroughly isolated from other AIs, launching its own independent browser.

Payment Security (Stripe Link)

It processes payments through a partnership with the payment infrastructure company Stripe.

Data Separation

• Conversations and personal data between the user and Muse are never shared with Meta's personalized ads
• Use for AI model training can be opted out

4. Controversies and Risks (The Most Important Part)

4-1. Internal Test Defects Exposed

During internal testing by Meta employees just before launch:

• A defect where the system suddenly froze
• A defect where personal iCloud photos were exposed without permission via a security bypass
• Reported through Reuters

4-2. The 'Fake AI Bot' Phone Agency Controversy

The most serious controversy:

• For some of Muse's phone-agency tasks that require tricky negotiation (like adjusting internet bills),
• Meta had secretly hired external contract agents (humans), not AI, make the calls
• Fierce criticism as a 'human concierge workaround'
• Records confirmed that the agents saw users' sensitive personal information and made racist remarks
• Meta temporarily withdrew the feature

4-3. Amazon's Full Block

Amazon fully blocked access from Meta Muse.

Reason: It is a security risk for an AI to copy a human user's session (cookies, login state) verbatim and rummage around the shopping mall

4-4. Elon Musk's Warning

He raised doubts, saying, "As it becomes hard to tell AI from humans, the ecosystem can be disrupted."

5. The Operator's View: Why Take Such a Gamble?

Delegating Payments to AI Is Still Premature

Personally, I think delegating payments to an AI from big tech is still premature.

So Why Does Meta Take the Risk?

It is a move to seize the market first.

"If something blows up, it will be serious — but it is a move to seize the market first."

This is the same as Facebook's early strategy. It grabs users first even at the cost of privacy problems, then follows regulation later.

The Exact Business Model

Step 1: Acquire users with a free AI agent
Step 2: Collect data — email, calendar, payments, etc.
Step 3: Refine ads/recommendations based on user behavior data
Step 4: Monetize premium features
Step 5: Secure platform lock-in (maximize switching costs)

6. Korea Launch Outlook

Korea has strict privacy law, so the core features of Meta Muse (email integration, payment agency) are unlikely to be introduced as-is.

Conclusion

Meta Muse shows "the future of AI assistants" while also exposing "the ambition of big tech."

• Convenience: phone agency, document creation, building its own tools -> revolutionary
• Risk: security defects, the human concierge controversy, the Amazon block -> serious
• Strategy: market dominance > safety -> a Facebook-style sprint

What users should do: Even if the features are attractive, approach payment and personal-data integration cautiously. If you are dazzled by an AI agent's convenience and hand over sensitive information, that data will someday return as Meta's ad revenue.

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