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AT&T’s AI Digital Receptionist Blocks Scam Calls

by Rachel Kim – Technology Editor

AT&T Trials AI-Powered Digital ⁤Receptionist to Combat⁣ Scam Calls

DALLAS,TX – September 2025 – AT&T is⁣ currently trialing a new digital receptionist service designed to filter out spam ‍calls⁢ and connect customers directly to the people they want‌ to reach. The service utilizes advanced voice-to-voice technology ⁤and “agentic AI,” powered by large language⁤ models (LLMs),to screen incoming calls in a way that feels “as quick and⁣ natural ‍as talking to a human,” according to ‌AT&T.

The digital receptionist answers calls on a user’s behalf, asking​ questions such as‌ “Who’s calling?” and “what’s this regarding?” before determining the call’s urgency and relevance based on pre-set user criteria.If deemed crucial, the call is connected seamlessly. Otherwise, the AI can⁢ handle⁣ tasks like taking messages or confirming delivery windows.

This⁢ approach differs from existing call screening features, like Apple’s recently⁢ introduced call Screening in iOS 26, which automatically answers‌ unknown numbers and presents the ‌caller’s details ‌to the user.AT&T’s system operates at the ⁤carrier level, potentially reaching a wider range of ⁣users across different ⁤phone brands – including iPhones,⁢ Galaxy devices, and budget phones.

“This is just ‌a taste of what AI agents⁤ could do with your phone to make your life easier,” AT&T stated. The company envisions future iterations​ of the technology autonomously handling tasks like restaurant reservations or ‍managing calls when‍ a ​user is unavailable,even providing real-time directions via text prompts.

AT&T emphasizes the⁣ need for this technology as scammers increasingly leverage AI. The company believes this service offers‍ a built-in layer⁤ of ‍protection for all customers, not just those with the latest devices.‌ While acknowledging potential initial​ adjustments to refine call screening preferences, AT&T suggests the benefits of reduced⁤ robocalls and scam attempts outweigh the inconvenience.

The service is currently in trial, and its future as a default feature remains to be seen.

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