SK Telecom’s AI-Centric Core Rebuilding Strategy

SK Telecom is undergoing a sweeping AI transformation, rebranding its entire operation as “AI Native.” This strategy involves overhauling IT systems, building gigawatt-scale data centers, and enhancing its large language model to over a trillion parameters. The company aims to offer hyper-personalized services, autonomous network operations, and a unified AI agent for seamless customer experiences, positioning South Korea as a global AI leader.

At MWC 2026 in Barcelona, SK Telecom unveiled a sweeping transformation plan, repositioning the company’s entire operational structure around artificial intelligence. This initiative, branded as an “AI Native” strategy, extends from the foundational elements of its network infrastructure to the front lines of customer engagement. The shift signifies a profound commitment to not just integrating AI tools, but fundamentally rewriting internal systems, massively expanding data center capacity to the gigawatt scale, and significantly upgrading its proprietary large language model to exceed one trillion parameters.

During a press conference at MWC 2026, SK Telecom CEO Jung Jai-hun articulated the vision, emphasizing the company’s ambition to contribute to positioning South Korea among the global top three AI powerhouses. “SKT is currently at a golden time of transformation, where the two tasks of ‘customer value innovation’ and ‘AI innovation’ intersect in a borderless, converged environment that goes beyond telecommunications,” Jung stated. He further elaborated, “SKT defines ‘the customer as the very essence of our business,’ and through innovation driven by AI, we will evolve into a company that makes meaningful contributions to our customers and to Korea.”

**Reimagining Telecom Systems for an AI-Centric Future**

Central to this strategic overhaul is the complete redesign of SK Telecom’s integrated IT systems. The company is set to re-engineer its sales, line management, and billing platforms, optimizing them for AI-driven operations. The ultimate goal is to empower the operator to design and deliver highly personalized plans and membership offerings, meticulously tailored to each customer’s unique usage patterns and behavioral data.

Furthermore, SK Telecom intends to implement a Zero Trust security framework across its entire system architecture. This will encompass enhanced authentication protocols, robust access controls, advanced network segmentation, and sophisticated AI-based monitoring capabilities, as detailed in the company’s MWC 2026 briefing.

For businesses observing the telecommunications sector, this move signals a significant industry-wide evolution. Telecom operators have historically relied on established, often legacy, billing systems and network management tools. Rebuilding these core functions around AI has the potential to revolutionize practices in pricing, service design, and fault detection. This also brings to the forefront critical discussions around data governance and the ethical utilization of customer data for training and refining AI models.

SK Telecom is also intensifying its focus on “autonomous network operations.” The company plans to leverage AI to automate crucial functions such as wireless quality management, traffic control, and the operational oversight of network equipment. Through the integration of AI-RAN (Radio Access Network) technology, the operator aims to achieve significant improvements in network speed and a reduction in latency.

**A Unified AI Agent for Seamless Customer Experiences**

Another pivotal aspect of SK Telecom’s strategy revolves around enhancing customer interactions. The company plans to simplify and automate its pricing, roaming, and membership services. A key development is an integrated AI agent designed to create a cohesive customer journey across its primary customer portal, T world, and its online store, T Direct Shop.

This AI agent is engineered to analyze daily usage patterns and provide relevant, contextual suggestions across all customer touchpoints. Complementing this, SK Telecom is expanding its AI Contact Center, equipping customer service representatives with AI-powered tools to augment their support during calls.

The transformation extends to physical retail spaces. SK Telecom will utilize AI to assist in-store staff in identifying customer needs and delivering informed recommendations post-visit. The company is also developing “AI Personas” to analyze digital behavior across various customer segments, facilitating more effective conversational interactions and support.

From an enterprise perspective, this initiative mirrors a broader industry trend toward shifting from reactive service models to predictive and proactive approaches. The unprecedented scale of SK Telecom’s AI integration – embedding it across billing, customer service, and retail – signifies its elevation from a supplementary feature to a core operational layer.

**Building Gigawatt-Scale AI Data Centers**

The infrastructure development underpinning this strategy is equally ambitious. SK Telecom announced plans to construct hyperscale AI data centers throughout South Korea, targeting a combined capacity exceeding one gigawatt. This endeavor aims to attract substantial global investment and solidify the nation’s position as a premier AI data center hub in Asia.

The company already operates a significant GPU cluster named Haein and last year deployed its virtualization solution, Petasus AI Cloud, to support GPU-as-a-service workloads. SK Telecom now intends to offer this cloud solution on a global scale.

Further solidifying its commitment, SK Telecom plans to establish an AI data center in South Korea’s southwestern region in collaboration with OpenAI, as announced at MWC 2026.

On the model development front, SK Telecom’s current sovereign AI foundation model boasts 519 billion parameters, making it the largest in South Korea. The company is committed to upgrading this model to surpass one trillion parameters and to incorporate multimodal capabilities, enabling it to process image, voice, and video data, with this enhancement slated for the latter half of the year.

CEO Jung framed this data center and model expansion in a national context: “AIDC can be seen as the heart of Korea, and hyperscale LLMs as the brain. By combining SKT’s AI capabilities with collaboration from domestic and global partners, we will lead true AI-native transformation for Korean customers and enterprises.”

For enterprise readers, the significance extends beyond sheer parameter counts. The crucial aspect lies in the practical application of these advanced models across various industrial sectors, such as manufacturing. SK Telecom highlighted its ongoing collaboration with SK hynix on an AI package specifically designed for manufacturing environments. This solution will analyze process data in real-time to reduce defect rates and optimize equipment efficiency, offered as a comprehensive infrastructure, model, and solution.

**Cultivating an AI-First Internal Culture**

The AI transformation also permeates SK Telecom’s internal operations. The company has developed an “AX Dashboard” to meticulously track AI utilization across all departments and by individual employees. An “AI Board” has been established to oversee AI transformation initiatives, alongside an “AI playground” that empowers employees to develop AI agents without requiring extensive coding expertise. Reports indicate that over 2,000 AI agents are already deployed across marketing, legal, and public relations departments.

“To drive future growth, we must reinvent our way of working from the ground up. SKT will fundamentally transform its corporate culture to be centered around AI,” Jung declared.

For other enterprises, the core takeaway from SK Telecom’s strategy is less about branding and more about structural integration. The company is unifying its infrastructure, models, applications, and internal governance into a cohesive, singular program. While the ultimate success of executing this ambitious vision at such a scale remains to be seen, it is evident that AI is no longer being treated as a secondary project; it is rapidly becoming the defining operating model for the future.

Original article, Author: Samuel Thompson. If you wish to reprint this article, please indicate the source:https://aicnbc.com/19584.html

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