LG Uplus

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LG Uplus is moving from rule-based automation to closed-loop autonomy, using AI agents and digital twins to accelerate toward a fully autonomous network by 2028. Its core platform, the AI Orchestration Nexus (AION), is already automating repetitive operations and has contributed to a reported 70% reduction in customer complaints about network quality—an early signal that the approach is translating into measurable outcomes. The company plans to showcase these capabilities at MWC Barcelona 2026, underscoring growing operator interest in operational AI as 5G matures and traffic patterns become more volatile.
LG Uplus is working with AWS on agentic AI that automates installation of cloud‑native network software, with early claims of up to 80% faster turn‑ups versus manual methods. LG Uplus and AWS partnered to develop an AI-driven approach that installs complex network software stacks without human intervention. The system uses Amazon Bedrock alongside AWS’s Strands-Agents SDK to orchestrate multiple cooperating AI agents. These agents are pre-trained on network design and implementation documents so they can execute the full workflow - provisioning cloud infrastructure, collecting device and network parameters, generating configurations, performing installation, and troubleshooting.
Korea’s three national carriers have enabled Rich Communication Services (RCS) on iPhones via Apple’s recent iOS update, bringing Android–iOS parity for default messaging to a market long dominated by OTT apps. SK Telecom, KT, and LG Uplus now support RCS for iPhone users across Korea, extending capabilities that previously existed only on Android. RCS on iPhone is available on iPhone 11 series and newer models running the latest iOS update, with activation dependent on carrier support and user settings. Users gain modern chat features including group messaging with up to 100 Android participants, read receipts, typing indicators, replies, and support for richer media.
South Korea's government and its three national carriers are aligning fresh capital to speed AI and semiconductor competitiveness and to anchor a private-led innovation flywheel. SK Telecom, KT, and LG Uplus will seed a new pool exceeding 300 billion won (about $219 million) via the Korea IT Fund (KIF) to back core and foundational AI, AI transformation (AX), and commercialization in ICT. KIF, formed in 2002 by the carriers, will receive 150 billion won in new commitments, matched by at least an equal amount from external fund managers. The platforms lifespan has been extended to 2040 to sustain long-cycle bets.
The recent SK Telecom data breach, termed the industry's worst by CEO Ryu Young-sang, led to a massive customer exodus and highlighted urgent cybersecurity needs. With 70,000 users lost, the telecom giant faces financial and legal challenges, emphasizing the critical role of robust data security measures.
Dive into our in-depth coverage of MWC 2025, highlighting the latest innovations in 5G, AI, IoT, and more. Discover how industry leaders are shaping the future of technology with groundbreaking announcements and developments unveiled during the event.
The GSMA Foundry has launched Open-Telco LLM Benchmarks, an open-source AI evaluation framework designed to enhance telecom-specific large language models (LLMs). Supported by Hugging Face, The Linux Foundation, Deutsche Telekom, SK Telecom, and more, this initiative aims to improve AI efficiency, security, and compliance in 5G and 6G networks. Learn how this industry-wide benchmark is shaping the future of telecom AI innovation.
The article discusses the transformative impact of Generative AI on the telecom industry, highlighting its benefits in optimizing operational efficiency, enhancing customer support, and improving knowledge management. Generative AI streamlines processes, reduces the need for human intervention, and provides real-time, accurate responses. It is crucial in network performance, planning, and proactive maintenance, ensuring high reliability and service quality. The technology also facilitates personalized marketing and sales strategies, boosting customer engagement. However, the integration of Generative AI poses challenges such as data management, privacy concerns, infrastructure scalability, and the need for specialized expertise, which must be addressed to fully leverage its potential.

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