KT Group Unveils 40+ Real-World AI Transformation Breakthroughs

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A KT engineer demonstrates robot teleoperation technology used to train and refine manipulation skills for humanoid robots

“Could you pick up the product in front of you and move it?” As soon as the KT employee spoke the command, a humanoid robot gauged the item's exact position via its optical camera and seamlessly transferred it to the target location. In an adjacent presentation hall, divisional teams candidly shared their achievements in AI transformation (AX) alongside hard-earned lessons and trial-and-error encountered during real-world field deployment.

Held on Oct. 15 at the KT Pangyo R&D Center, the inaugural '2026 AID-X Day' buzzed with employees eager to explore cutting-edge innovations engineered by their peers. Five KT Group subsidiaries set up more than 40 interactive demonstration booths, highlighting tangible AX implementations spanning physical AI, robotic learning, fleet maintenance, and enterprise AI platforms. The landmark event was designed to scale battle-tested AI capabilities and operational know-how across the entire group, accelerating KT's broader strategic transition into an “AX Platform Company.”

The exhibition in the first-floor lobby was structured into four distinct thematic zones: Business, Innovation, Work, and Tech. In the Innovation Zone, attendees observed physical AI deployed in mission-critical environments across manufacturing, logistics, and mobility. KT showcased its flagship robot service platform, the 'KT RaaS (Robot as a Service) Suite,' which captures granular field data through worker teleoperation—allowing robots to mirror human motor skills. It continuously trains and validates new tasks within synthetic virtual environments with randomized object arrangements before rolling them out to field hardware. KT aims to complete task-execution algorithms for manufacturing and logistics robots within the year, with field deployment of humanoid robots targeted for 2027.

At an adjacent booth, a technician wearing Meta AI smart glasses initiated the workflow simply by saying, “Let's start maintenance.” Instantly, step-by-step diagnostic procedures appeared before his eyes. KT's 'Maintenance & Warranty AX Agent Pack' uses predictive AI to anticipate vehicle breakdowns, schedule service center drop-offs, and guide technicians through repairs in real time via smart glasses. Aiming to cut automakers' annual warranty costs—estimated at approximately KRW80,000,000,000—by 20%, KT plans to launch commercial operations with Tata Daewoo this November.

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A technician demonstrates the “Maintenance & Warranty AX Agent Pack,” utilizing AI smart glasses and intelligent agents to deliver real-time predictive diagnostics and hands-free vehicle repairs

The Work Zone highlighted impactful transformations in internal enterprise workflows. KT M&S, a retail subsidiary, introduced 'NEXUS,' an AI work-support platform deployed across roughly 2,000 storefront staff members, which automates routine tasks to save 40,000 labor hours annually. Similarly, KT DS presented 'Metis.AI,' an intelligent agent orchestration platform that drastically slashed product validation testing from 15 minutes down to 3 minutes and cut technical documentation drafting from 3 hours to just 30 minutes. The group also highlighted unified enterprise AI guardrails applied to token factories alongside 'AX Works,' an integrated governance platform managing enterprise-wide AI agent lifecycle and deployment.

Concurrently on the second floor, 32 finalist teams competed in a hackathon split into low-code and pro-code tracks. KT plans to evaluate high-performing prototypes and viable solutions generated during the competition for near-term operational adoption and cross-divisional scaling.

KT CEO Park Yoon-young and senior executives visited the Pangyo campus in the afternoon to tour the exhibition. CEO Park personally tried on the AI smart glasses, encouraged on-site engineers, and reviewed member-developed technologies firsthand, emphasizing that the group will actively foster an environment where field-proven experience and operational know-how organically drive enterprise-wide AX innovation.

· This article was translated using AI and was published after final review by the reporter.