South Korean telecommunications company KT is overhauling its internal technology systems around AI, embedding automation across its network, business platforms and daily operations as part of a push to become an AI transformation (AX) platform company. The strategy, called Next IT, spans three pillars: Next IT Platform, Next IT Infra and Next IT Works, covering business systems, infrastructure and AI-based working methods.
KT said it will continue modernizing core systems including enterprise resource planning, business support systems and operations support systems, while improving processes alongside the technology upgrades. The company also plans to use AI to improve services including authentication and payments, and to offer more personalized experiences through online channels such as KT.com and My KT.
Infrastructure and cloud restructuring
Under Next IT Infra, KT will build a next-generation internal private cloud and adopt a multi- and hybrid-cloud structure, allowing computing resources to be used more flexibly according to the needs of different systems and services. The company said it will also proactively replace systems whose software or hardware support has ended or is nearing its end.
KT is strengthening backup and disaster recovery systems to help maintain services during disruptions. For operations professionals, this signals a shift toward resilience planning as a core part of IT strategy, not an afterthought.
AI agents across the IT lifecycle
Next IT Works centers on AID-X, KT's AI-driven approach to the full IT lifecycle, from planning and design to development, testing and operations. KT said it is expanding the use of AI agents through an integrated AX platform and sharing successful applications, experiences and setbacks to establish effective AI practices across the organization.
The company's approach mirrors broader trends in AI for Operations, where organizations are moving beyond isolated pilots to embed AI into day-to-day workflows. KT's emphasis on sharing both successes and failures internally suggests the company views AI adoption as an organizational learning process, not just a technology deployment.
For teams working in AI for IT & Development, KT's model offers a reference point: AI applied not only to customer-facing services but to the internal systems that keep a large enterprise running.
Why this matters for operations professionals
KT's overhaul is a concrete example of how a large company is restructuring its internal IT operations around AI, with implications for anyone responsible for system reliability, cost management or service continuity. The multi- and hybrid-cloud structure points to a future where computing resources are allocated dynamically based on workload demands, which changes how capacity planning and vendor management are done.
The replacement of end-of-life systems and strengthened disaster recovery measures are operational priorities that directly affect uptime and risk. For operations teams, the takeaway is that AI-driven IT transformation is as much about infrastructure discipline as it is about intelligent software.
Your membership also unlocks:
