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Meta's Muse AI faces trust hurdle for $20 monthly fee

Meta's Muse AI faces trust hurdle for $20 monthly fee
Tech · 2026
Photo · Eleanor Whitfield for Daily Digest Invest
By Eleanor Whitfield Markets Editor-in-Chief Sep 10, 2026 4 min read

Meta is preparing to launch Muse, a personal AI assistant that it plans to charge $20 a month for. But a new note from investment bank Oppenheimer suggests the company faces a significant trust problem that could undermine the product's appeal.

According to Oppenheimer's survey of US consumers, only 8% of respondents said they would trust Meta with their passwords. That is a major hurdle for an AI agent that would need to log into users' accounts to perform tasks like shopping or managing online services.

What is Muse and why does trust matter?

Muse is Meta's entry into the fast-growing market for AI assistants. It joins a crowded field that already includes Google's Gemini and OpenAI's ChatGPT, both of which have subscription tiers. To convince people to pay another monthly fee, Meta needs to offer something those rivals don't.

Oppenheimer argues that Muse's potential edge lies in what it calls "permissioned utility." That means the AI could handle higher-value tasks—like buying products, booking services, or managing online accounts—if users allow it to log in on their behalf. But that requires a high level of trust, and Meta's track record on privacy and data handling has made many consumers wary.

The 8% trust figure is striking when compared with the broader adoption of AI tools. Many people already share sensitive information with AI platforms, but Meta's history of data controversies appears to weigh on its reputation.

What does this mean for investors?

For Meta shareholders, the success of Muse is part of the company's broader bet on AI as a future revenue driver. The company has invested heavily in AI infrastructure and products, and a successful subscription service could add a new stream of recurring revenue. But if consumers don't trust the company enough to grant access to their passwords, the assistant's usefulness—and its ability to generate revenue—could be limited.

Oppenheimer's note suggests that Meta may need to invest in building trust before it can expect users to pay for a service that requires deep access to their digital lives. That could mean more transparent privacy policies, clearer user controls, or a slower rollout that lets users test the assistant with low-stakes tasks first.

The challenge is not unique to Meta. Other tech companies are also racing to offer AI agents that can act on behalf of users, and they all face similar trust questions. But Meta's specific reputation makes the hurdle higher.

What to watch next

Investors will be watching how Meta positions Muse at launch, including any features designed to address privacy concerns. The company may also offer a free tier or a trial period to build familiarity before asking for a subscription fee.

Another factor to watch is how Muse integrates with Meta's existing apps, such as WhatsApp, Instagram, and Facebook. If the assistant can work seamlessly across those platforms, it might offer convenience that rivals can't match—but only if users are willing to let it in.

For now, the $20 price point puts Muse in the same range as other premium AI subscriptions. Whether consumers see it as worth the cost will depend on how much they trust Meta with their personal information.

As the AI subscription market matures, trust is becoming a key competitive differentiator. Companies that can earn user confidence may have an edge, while those that can't may struggle to convert interest into revenue.

Meta's challenge is clear: it needs to convince users that Muse is both useful and safe. The 8% trust figure suggests that's an uphill battle, but not necessarily an impossible one. If Meta can address privacy concerns head-on, it might still carve out a place in the crowded AI assistant market.

For investors, the story is about more than just one product. It's a test of whether Meta can translate its massive user base into a successful AI subscription business—and whether it can overcome the trust deficit that has followed the company for years.

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