Mobile network operators unveiled AI-powered voice assistants and fraud detection systems at Mobile World Congress 2026 in Barcelona this week, signaling their push to compete directly with Big Tech giants. LG Uplus CEO Hong Beom-sik introduced ixi-O, an AI call agent designed to combat fraudulent calls, while vendor Mavenir demonstrated customizable voice assistant platforms that operators can deploy to reclaim control of the customer experience.
The telecom industry’s pivot toward artificial intelligence represents a strategic shift to counter the dominance of Google, Apple, and other tech platforms that have increasingly controlled the customer interface. These network-level AI integrations promise capabilities that app-based services cannot match, leveraging direct access to call infrastructure and signaling data.
During his keynote presentation titled “Humanizing Every Connection,” Hong Beom-sik positioned the ixi-O voice assistant as essential for the future of voice communication, according to Telecompaper. The AI agent will integrate directly into the call experience to combat fraudulent calls and reduce customer friction. However, the company did not provide specific technical details or announce a commercial launch timeline during the event.
Mavenir offered more concrete demonstrations of its operator-focused AI solutions. The company’s AI Agent Studio allows businesses and individuals to create custom voice assistants through a no-code platform, as detailed on Mavenir’s website. During the demonstration, attendees watched a user design an assistant using natural language commands over a phone call, defining capabilities such as appointment booking and payment processing. The system activated the agent immediately for real-time interaction.
Fraud Detection Takes Center Stage
The vendor’s Call Shield fraud detection system showcased particularly advanced capabilities. The technology uses machine learning to analyze call signaling metadata, and for users who opt in, it captures the first 20-30 seconds of suspicious calls. The system performs sentiment analysis to identify fraudulent intent and can automatically terminate threatening calls, protecting subscribers from scams.
Operators are positioning these services as part of their broader transformation from telecommunications companies to technology companies. Monetization strategies include bundling AI features with existing mobile plans and offering premium add-ons. The development of enterprise APIs represents a particularly significant opportunity, enabling businesses to build services on operators’ AI-powered networks.
European operators emphasized their commitment to GDPR compliance and data residency requirements, distinguishing themselves from global tech platforms. Deutsche Telekom announced plans to develop safeguards for AI agent deployment, signaling the industry’s proactive approach to responsible AI implementation.
The absence of technical specifications and performance metrics at the event leaves questions about the actual capabilities of these services. No operators disclosed details about their AI architecture, whether solutions run on-premise or in the cloud, or which large language models power their systems. Performance data such as fraud detection accuracy rates and voice assistant response times remain undisclosed, making it difficult to assess how these services will perform in real-world conditions.
Sources
- Telecompaper
- Mavenir
