Muse's AI Offers Paid Outbound Call Feature to US Companies

The AI assistant 'Muse' has introduced a new 'outbound call' feature that automatically places calls to US companies. However, this feature is not available for free and requires a paid plan subscription.

The capability for AI to conduct voice conversations with external parties differs fundamentally from text-based communication. Phone interactions demand real-time response abilities that adapt to the other party's pace and natural language exchange. This voice agent functionality is positioned as a critical domain in advancing AI practical applications, and multiple AI companies have been competing to develop it in recent years.

Muse's newly added feature enables AI to autonomously initiate calls to companies within the United States and conduct conversations. The scope of operation is currently limited to US businesses, with no mention of calls to individual recipients. Information about the detailed specifications of this feature and the types of calls it can handle remains limited at present.

The decision to offer this as a paid service likely reflects the infrastructure costs associated with voice calling. Compared to text processing, real-time voice processing demands substantially more computational resources and communication expenses, making free provision difficult. Adopting a paid model appears aimed at ensuring sustainable service operations.

This development aligns with the trajectory of AI evolving from merely 'conversing' to 'acting' as an agent. We are approaching an era where AI handles routine business tasks—such as appointment confirmations or inquiry responses—by phone on behalf of humans. Notably, how recipients respond to AI-initiated calls and how regulatory challenges are addressed going forward will be important points to monitor.

With this feature addition, Muse demonstrates a direction that extends the role of AI assistants beyond the digital realm into actual business communication. Whether the paid service model can establish itself as a practical offering for enterprises will be a key factor determining future adoption rates.