SK Telecom Expands AI Transformation With One AI Agent Per Employee

SK Telecom is accelerating its AI transformation, known as AX, by ordering every employee to develop a personalized AI agent tailored to their tasks. The plan envisions a “one person, one AI agent” approach that starts with frontline operations and expands through the company.

To support this, SKT is rolling out dedicated platforms for different needs. General-purpose tasks will be handled on AIDOT Biz, marketing and data extraction on Polaris, and network data analysis plus coding assistance on Playground. A new AX Management System (AXMS) will collect innovation ideas, track progress, and visualize company-wide status on a dashboard to boost knowledge sharing.

The push builds on proven gains. SK Telecom points to a security-focused AI that reviews source code, automating verification and suggesting fixes, which has saved about 3,000 hours of work per year. A separate analytics tool called Litmus analyzes traffic and crowding data to support municipal services and has yielded new revenue opportunities.

An AX innovation idea contest launched in February drew roughly 180 submissions. The company is fast-tracking selected core projects for near-term commercialization, aiming to scale successful initiatives across the organization by the third quarter and beyond.

SKT plans ongoing education to raise AI practical skills, including bootcamps and hackathons, with training programs running year-round to broaden participation and capability across both developers and non-developers.

CEO Jeong Jae-heon framed AX as rooted in real-world problems: solutions emerge from those who know the work best, and AI can address everyday frictions. He described AX as a self-reinforcing “flywheel” that, if scaled, could drive sustained productivity gains across SKT.

For U.S. readers, the move illustrates how a major telecom operator is embedding AI at scale to cut manual work, unlock new data-driven revenue, and strengthen digital capabilities. The emphasis on enterprise AI platforms, internal innovation ecosystems, and practical skill-building signals how American firms might deploy similar strategies to improve efficiency, security, and competitiveness in telecoms, technology services, and supply chains.