SKT Pushes RCS Standardization as AI Final-Approval Channel
AI TIMES ·
✦ AI Summary
According to AI TIMES, SK Telecom will hold a GSMA RCS standardization meeting in Seoul from September 15 to 18 and will propose as a standa…
According to AI TIMES, SK Telecom will hold a GSMA RCS standardization meeting in Seoul from September 15 to 18 and will propose as a standard agenda item a method in which users give final approval by message before an AI agent carries out payments or reservations. Sixteen companies, including global telecom operators, platforms, and manufacturers, will attend the meeting, and a separate AI special session will also be held. The key point is to ensure that even if AI handles the work, users retain direct control over the final step that confirms a transaction. SKT stressed a structure in which this approval process is separated from the AI service itself and placed on the RCS message channel, making it possible to verify who made the request and keep an approval history. It also highlighted that users can confirm order details and respond within the message, without having to move to a separate app. The company said it hopes to use the initiative to expand the role of telecom beyond connecting people and toward a trust infrastructure linking people and AI agents.
Perspective
The reason this proposal matters is that competition over AI convenience is shifting from execution capabilities alone to the question of who controls the final decision, and how. In particular, the attempt to separate the approval process into a messaging channel and turn it into a standard could reduce fragmented confirmation methods across services and create a common foundation for user trust. It can also be read as a sign that telecom operators are looking for their role in the AI era not in the network itself, but at the touchpoints for trust verification and approval.
This perspective is BizCrush's own commentary and is not part of the reporting by AI TIMES.
This article was produced with the help of an automated content generation algorithm.
Source: AI TIMES
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