SK Telecom (NYSE: SKM, hereinafter referred to as “SKT”) and Ericsson (NASDAQ: ERIC) today announced the signing of a Memorandum of Understanding (MoU) to strengthen their collaboration on mobile network technologies spanning 5G to future 6G. The agreement underscores the two companies’ shared commitment to driving innovation in next-generation connectivity. Under the agreement, the two companies will explore joint initiatives across key technology areas, including: · AI-powered Radio Access Networks (AI-RAN) to enhance performance, security, and energy efficiency by autonomously learning, predicting, and optimizing channel conditions, as well as managing resources more efficiently. · 5G advancements to unlock new business opportunities and enable next-generation services. · Open and autonomous networks to improve productivity and operational efficiency., aiming to enhance productivity and operational efficiency in multi-vendor environments. · End-to-end security built on zero trust architecture and continuous monitoring, providing stronger protection and real-time threat response across both 5G Advanced and 6G environments. · 6G standardization and future technologies such as spectrum strategy, extreme MIMO evolution, energy efficiency, and Integrated Sensing and Communication (ISAC). Through joint research, SKT and Ericsson aim to strengthen their global collaboration framework and secure a leading position in the 6G technology ecosystem, driving the evolution of next-generation AI-powered networks. This collaboration will establish a framework for ongoing technology evolution, enabling the practical deployment of innovations in the 5G era while laying the foundation for long term 6G research and standardization. The MoU is effective until March 2, 2031, and focuses on joint exploration and validation of cutting-edge network technologies. “Our collaboration with Ericsson will be a core engine propelling the evolution of AI-powered networks, paving the way toward 6G,” says Yu Takki, Head of Network Technology Office at SK Telecom. “Through research focused on global standardization and real-world validation, we aim to secure world-class technological leadership in AI-powered network evolution and 6G.” Mårten Lerner, Head of Networks Strategy and Product Management at Ericsson, said: “We’re pleased to deepen our partnership with SK Telecom to accelerate AI‑powered RAN, 5G monetization, open autonomous networks and zero‑trust security — while laying the groundwork for AI‑native 6G. Together we’ll move rapidly from standards and trials to commercial solutions that boost performance, energy efficiency and security — strengthening South Korea’s leadership in next‑generation connectivity.”

SK Telecom (NYSE: SKM, hereinafter referred to as “SKT”) announced that its Recommendation, “Signalling Requirements and Architecture for Artificial Intelligence Data Centers (AIDC),” was officially approved as an international standard at the ITU-T* Study Group 11 (SG11) meeting held in Geneva earlier this month. *ITU-T, the Telecommunication Standardization Sector of the International Telecommunication Union, is a leading global body responsible for developing international standards for information and communication technologies, with participation from 190+ member states and 900+ organizations. With the approval of this standard, a global benchmark for AIDC system interconnection has been established, further strengthening the foundation for the development and operation of AI infrastructure worldwide. SKT proposed a standardization work item titled “Interconnection Structure and Methods for AI Data Centers” to ITU-T in May 2024, which was approved as a new standardization project. Following related discussions, the final standard was officially approved at the ITU-T SG11 meeting in March 2026. ■ Increasing Complexity of Data Centers with AI Expansion Calls for Interconnection Standards With the increasing complexity of data center system interconnection architectures driven by the proliferation of AI services, there is a growing need for global standards to define interconnection and signalling requirements for data center operations. In particular, AIDCs are complex infrastructures that not only handle large-scale computational processing, but also integrate various systems such as power, cooling, storage, security, and resource management. This results in a higher structural complexity compared to conventional data centers. Amid these changes, the industry has consistently called for global standards that define signalling and interconnection methods among internal AIDC systems. This newly approved standard organizes the interconnection structure and signalling requirements among internal AIDC systems, providing a global technical benchmark for data center operation and service delivery. ■ Defining AI Data Center Architecture Based on Three Layers: Service, Management, and Infrastructure The new standard classifies the main functions of AIDCs into a three-layer architecture—Service, Management, and Infrastructure—and systematically defines the roles and functions of each layer, as well as the signalling requirements for interconnection between them. The Service Layer is responsible for functions such as service-level authentication and authorization, service status monitoring, and overall service management. The Management Layer handles data center-level authentication and authorization, operational management, resource allocation, and cybersecurity. The Infrastructure Layer encompasses the core AI infrastructure, energy systems, and cooling systems that support operations of the data center. Together, these layers serve as higher-level concepts that organize various components and function blocks, ensuring that the AIDC operates efficiently and securely through clearly defined roles and systematic interconnection. This can be likened to an airport, where airlines, air traffic control, and runway infrastructure coordinate operations by exchanging signals—similarly, the standard defines how internal systems within an AIDC interoperate organically through signalling. SKT expects that the approval of this standard will serve as a catalyst for the global adoption of AIDCs by enterprises and organizations. The company also explained that this achievement was made possible through collaboration with various SK Group affiliates and years of accumulated expertise and technology development in the AI and ICT fields. “The approval of this standard is significant as it recognizes SKT’s accumulated expertise and operational know-how in AI Data Centers,” said Choi Dong-hee, Head of AI Strategy Planning Office at SK Telecom. “Moving forward, SKT will continue to strengthen its technological competitiveness across AI infrastructure, operations, and services through SK Group’s capabilities and global collaboration, contributing to international standardization and the expansion of the global AI ecosystem.”

SK Telecom (NYSE: SKM, hereinafter referred to as “SKT”) today announced that it has been honored at the prestigious GSMA Global Mobile Awards (GLOMO) 2026, held during MWC Barcelona 2026 (MWC26), for its ‘Haein’ GPU cluster. With this latest achievement, SKT has won the ‘Best Cloud Solution’ category for three consecutive years at the GLOMO Awards, once again demonstrating its proven competitiveness in artificial intelligence (AI) infrastructure and cloud services on the global stage. The award-winning Haein is a high-performance GPU infrastructure built as a single cluster integrating more than 1,000 NVIDIA Blackwell GPUs. Through this infrastructure, SKT provides GPU-as-a-Service (GPUaaS), delivering a stable and scalable computing environment optimized for large-scale AI model training and inference workloads. In addition, Haein has also been selected for the Ministry of Science and ICT’s program to strengthen the foundation for the utilization of AI computing resources and is currently supporting the development of Korea’s Sovereign AI Foundation Models. “We are deeply honored that our Haein cluster has been recognized at the globally renowned GLOMO Awards,” said Kim Myung-gook, Head of GPUaaS Business at SK Telecom. “We will continue to expand Korea’s sovereign AI ecosystem and further strengthen the nation’s position in the global AI landscape.” SK Telecom’s Evolution Reflected Through Its GLOMO Recognition A review of SK Telecom’s GLOMO award history — from its first win in 2013 to a total of 24 awards as of this year — clearly illustrates the company’s strategic evolution from a network innovator, through its expansion into service platforms, to its current position as an AI infrastructure powerhouse. Phase 1: Network Technology Leadership (2013–2018) During this period, SKT gained global recognition for its leadership in network technology, driven by its pioneering commercialization of LTE and LTE-A. Receiving the CTO’s Choice Award validated both the company’s technological excellence and its successful commercialization achievements. Subsequent awards for network virtualization and next-generation management solutions further solidified SKT’s leadership in transforming telecommunications infrastructure from a hardware-centric architecture into a software-defined infrastructure. Key award-winning technologies: · LTE-A network technology (2014) · Quality of Experience (QoE)-based SDN control technology (2016) Phase 2: Expansion into Data-Driven Service Platforms (2019–2021) Building upon its strong network capabilities, SKT expanded into data-driven platform businesses spanning mobility, content and social value initiatives. During this phase, the company went beyond advancing telecommunications technologies to applying its capabilities to address social challenges, linking technological innovation with ESG-based sustainable growth strategies. Key award-winning services: · T Map (2019) · Happy Coding School for Adolescents with Special Needs (2020) Phase 3: Transformation into an AI Company (2022–Present) SKT is accelerating its transformation into an AI-centered company, expanding its business scope from AI-driven services to AI infrastructure. By integrating AI across diverse domains including mobility, security, and cloud, the company is extending AI beyond service innovation into broader industrial applications. Leveraging AI platforms and cloud infrastructure, SKT is advancing AI as a core technology that drives both industrial competitiveness and ESG value, while accelerating its transition into an AI-native enterprise. Key award-winning solutions: · Litmus (2023) · Petasus AI Cloud (2025)

SK Telecom (NYSE: SKM) today announced it has signed a three-party memorandum of understanding (MOU) with global server manufacturer Supermicro and global mechanical, electrical and plumbing (MEP) leader Schneider Electric to develop a total solution for artificial intelligence data centers (AIDC). The agreement, signed at MWC26, aims to shorten AIDC construction timelines and help alleviate supply bottlenecks by leveraging the combined expertise of the three companies. The companies will collaborate on a pre-fabricated modular model that integrates AI computing servers with supporting power and cooling infrastructure into a single pre-manufactured module, enabling AIDCs to be constructed in a building-block configuration. Compared with the conventional steel-reinforced concrete (SRC) method, in which servers and infrastructure are installed sequentially after completion of the data center building, the pre-fabricated modular model offers both faster deployment and improved cost efficiency. In addition, modules can be deployed in phases as demand grows, enhancing scalability while reducing the burden of significant upfront investments and enabling flexible responses to evolving market needs. Under the MOU, SK Telecom will contribute its AIDC operational expertise; Supermicro will provide high-performance GPU servers optimized for customer-specific AI computing scenarios; and Schneider Electric will deliver MEP infrastructure design and construction capabilities to reliably support large-scale AI demand. “Through collaboration with global leaders in the AIDC business, we are advancing a total solution based on a pre-fabricated modular model,” said Ha Min-yong, Head of SK Telecom’s AIDC Business. “Building on this initiative, we aim to proactively address the AIDC deployment needs of global hyper-scalers while further strengthening our cost competitiveness.” “In the era of AI, the true measure of competitiveness lies in how fast and sustainably organizations can deliver high-performance infrastructure,” said Andrew Bradner, Senior Vice President at Schneider Electric. “Through this collaboration, we are introducing an integrated AI DC model based on a pre-fabricated modular design — empowering customers to lower carbon emissions, eliminate supply bottlenecks, and operate high-density AI workloads with greater resilience and efficiency.” “Supermicro is excited to partner with SK Telecom to bring data centers online faster than ever before,” said Cenly Chen, Chief Growth Officer at Supermicro. “This new integrated solution will leverage Supermicro’s high-performance, GPU-optimized servers tailored to customer workloads. We look forward to helping organizations meet their growing data center needs with this latest technology.”

SK Telecom (NYSE: SKM, hereinafter referred to as “SKT”) announced that its CEO, Jung Jaihun, met with senior executives from major global telecom operators during MWC Barcelona 2026 (MWC26) to discuss collaboration in key areas including AIDCs, AI models, and next-generation networks. ■ Hosting AIDC Conference to Present New Role and Vision for Telcos in the AI Era On March 2 in Barcelona, SKT held its ‘AIDC Conference,’ under the theme ‘Redesigning Telco Infra for the Next Phase of AI.’ The conference was attended by Jung Jaihun, CEO of SKT; Chung Suk-geun, CTO and President & Head of AI Company-in-Company (CIC) at SKT; Bill Chang, CEO of Singtel Digital InfraCo; Sabri Albreiki, CTO of e& international; Khalid Murshed, CEO of e& enterprise; and Tadao Yanase, Chief Business Development Officer (CBDO) at NTT. During his keynote speech, CEO Jung emphasized that “Telecom operators’ proprietary infrastructure and operational expertise are key to building AI infrastructure and expanding AI services, and that telcos must move beyond the rapid and secure delivery of data to play a leading role in shaping AI infrastructure.” SKT also introduced its ‘Sovereign AI Package,’ which integrates AIDC infrastructure built on SK Group capabilities, SKT’s sovereign AI foundation model, A.X K1, and AI services tailored for industrial and enterprise use. This strategy involves building a proprietary AI foundation model that understands local language and culture on infrastructure that is controlled and operated domestically, taking data sovereignty into account, and providing integrated AI services that have been validated in real industrial settings. Through this approach, SKT aims to protect national AI sovereignty while accelerating business innovation. Panel discussions covered a broad range of topics, including AIDC innovation, regulatory considerations and strategic direction. Participants agreed that, given AIDCs simultaneously require large-scale power supply, high-performance equipment, and ultra-high-speed networks, greater efficiency can be achieved through joint collaborative efforts among telecom operators. ■ Discussions on AI Cooperation with Major Global Telcos and Technology Groups On the same day, CEO Jung also met with e& Group CEO Hatem Dowidar and Group Chief Strategy Officer (GCSO) Harrison Lung to further strengthen their strategic partnerships in expanding global AI infrastructure. On March 3, CEO Jung is scheduled to meet with CEO Christel Heydemann, Chief Technology and Innovation Officer (CTIO) Bruno Zerbib, and other executives of Orange Group, which serves 340 million customers across Europe, the Middle East, and Africa. This will be the first meeting between the CEOs of the two companies. SKT also plans to explore AI collaboration with its long-standing European partner, Deutsche Telekom. Jung will meet with Deutsche Telekom’s CEO Tim Höttges to introduce SKT’s AIDC technologies and operational capabilities, its experience in developing the proprietary AI foundation model A.X K1, and its AI RAN technologies. CEO Jung stated, “Competitiveness in the AI era depends not only on technology, but also on how infrastructure is designed and interconnected. We will work together with global telecom operators to build a trusted AI infrastructure and service ecosystem.”

SK Telecom (NYSE:SKM, hereinafter referred to as "SKT") has announced a major transformation to lead the era of AI. On March 1, SKT CEO Jung Jai-hun held a press conference in Barcelona, Spain, and announced the company’s ‘AI Native’ innovation strategy, which includes a reorganization of AI infrastructure and large-scale investment plans. This strategy reflects SKT’s ambition to redesign its telecommunications leadership DNA into an AI-driven DNA, building on its core strengths, and to lead Korea’s leap toward becoming one of the world’s top three AI leaders through bold challenges and change. CEO Jung Jai-hun stated, “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. 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.” ■ Maximizing Customer Value with ‘AI-powered Telco’ SKT plans to build stronger relationships with customers and significantly enhance customer-perceived value by applying AI across all areas of telecommunications. To achieve this, SKT will undertake a major overhaul of its integrated IT systems, the foundation of its telecom services, redesigning them to be optimized for AI. SKT will build all integrated systems, including sales IT, line management, and billing systems, around AI, enabling the company to promptly design and provide personalized plans and memberships tailored to each customer’s needs. In particular, SKT will establish a Zero Trust information security framework across all systems, strengthening security through rigorous authentication, access control, network segmentation, and AI-based integrated security monitoring. SKT is also accelerating its ‘autonomous network operations’ strategy, which leverages AI to automate network management. SKT is set to transition from human-centered operations to AI-driven autonomous systems across wireless quality management, traffic control, and network equipment and facility operations, with the goal of maximizing customer-perceived quality. With AI-RAN technology, the company plans to deliver ultra-fast, seamless, and ultra-low latency communications. ■ Customer-Friendly Redesign Across All Touchpoints, from Services to Customer Touchpoints—Enhancing Two-Way Communication with CustomersSKT plans to redesign its telecom services and products to be more customer-friendly, while also strengthening two-way communication with customers. For services such as pricing, roaming, and membership, SKT will prioritize customer convenience by restructuring them into simple and intuitive formats and automatically offering personalized packages. SKT is also developing an ‘integrated AI agent’ that connects the dispersed customer experiences across various touchpoints, such as T world (SKT’s main customer portal) and T Direct Shop (SKT’s official online store). By quickly analyzing customers’ daily patterns and needs with AI, SKT aims to create a single agent that delivers personalized experiences at every touchpoint. In addition, SKT will enhance its AI Contact Center (AICC), enabling all customer service representatives to use AI for accurate and prompt support. Offline stores will also leverage AI to shift from sales-focused operations to providing deeper customer experiences, accurately identifying needs, and automatically offering personalized recommendations even after a visit—delivering highly tailored curation services. In addition, SKT plans to create ‘AI Personas’ to analyze digital behavior data across various customer segments, enabling a comprehensive understanding of each customer’s needs and preferences through natural, conversational Q&A. This approach will allow SKT to communicate more effectively with all customers. SKT is further advancing ‘A. phone (A-DoT phone),’ developing it into a true AI agent that can automatically organize call notes and schedules, connect customers to personalized services, and even perform related actions. SKT plans to expand opportunities for employees to engage directly with customers in the field, fostering two-way communication. This year, SKT plans to actively listen to a wide range of customer groups, as well as experts from industry and academia, and thoroughly reflect their voices in all aspects of company management. ■ Building 1GW-Class AI Data Centers Nationwide to Establish Asia’s Largest AIDC Hub SKT will build 1GW-class hyperscale AI data center (AIDC) infrastructure across Korea, aiming to attract global investment and establish the nation as Asia’s largest AIDC hub. In addition to its GPU cluster Haein, SKT is building AIDCs and plans to expand to hyperscale capacity exceeding 1GW through global partnerships. The company also plans to build an AIDC in Korea’s southwestern region in collaboration with OpenAI, as part of its broader vision to establish a nationwide AI infrastructure network. Together with SK hynix, SK Ecoplant, and SK Innovation, SKT will secure solutions across the entire value chain—from AIDC construction to cooling, servers, energy, and operations—to provide AIDCs with industry-leading cost efficiency. Last year, SKT applied its high-performance, high-efficiency virtualization solution ‘Petasus AI Cloud’ to Haein, its GPU cluster built for GPUaaS, and this year plans to offer Petasus AI Cloud in the global market. SKT will upgrade its sovereign AI foundation model, currently the largest in Korea at 519B parameters, to over 1T (one trillion parameters), securing AI sovereignty and driving innovation across industries. In particular, SKT plans to enhance the model by adding multimodal capabilities, enabling it to process not only image data but also voice and video data, starting in the second half of this year. Moreover, SKT will focus on jointly developing a ‘manufacturing-specialized AI solution’ package with SK hynix to strengthen the competitiveness of Korea’s manufacturing industries, including semiconductors and energy. This package analyzes process data in real time to reduce defect rates and maximize equipment efficiency, and will be offered in three forms: infrastructure, model, and solution. CEO Jung stated, “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.” ■ Transforming Work Culture Around AI CEO Jung emphasized, “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.” SKT has built an ‘AX (AI Transformation) Dashboard’ that provides a comprehensive view of AI utilization by department and individual, accelerating AI adoption across the organization. In addition, SKT operates an ‘AI Board’ to strengthen dedicated support for AX initiatives and is fostering a work environment and culture where employees can naturally incorporate AI into their daily tasks. SKT has also built an ‘AI playground,’ enabling employees to easily develop and use AI agents for their work without coding. Currently, more than 2,000 AI agents are being actively used across areas such as marketing, legal, and PR. CEO Jung stated, “By implementing company-wide AI upskilling education and campaigns, we will transform our organizational culture to be AI Native. Through SKT’s new transformation, we will do our utmost to regain the trust of our customers and become a company that contributes to the nation and society.”

SK Telecom (NYSE: SKM, hereinafter referred to as “SKT”) announced the publication of its third 6G white paper, ‘ATHENA’ (AI,Trust,Hyper-connectivity,Experience, opeN,Agility), outlining its mid- to long-term network evolution strategy. 6G White Paper Series Since 2023: Emphasizing the Direction of Communication Infrastructure in the AI Era This white paper is a continuation of SKT’s ongoing 6G white paper series. In 2023, SKT introduced key requirements and technology trends for 6G standardization, and in 2024, it emphasized the direction of communication infrastructure in the era of AI. In preparation for the commercialization of 6G expected after 2030, the latest white paper comprehensively presents SKT’s mid- to long-term network evolution strategy to accelerate AI convergence, expand services such as humanoid robots and satellite communications, address advanced security threats, and shift network operation paradigms. The goal is to enhance operational efficiency, innovate customer experience, and achieve network monetization in a rapidly changing communications environment. Through this white paper, SKT has clarified its network vision and technological evolution based on the fundamental values of security, stability, safety, and quality to prepare for future communication environments, including 6G. Vision Based on Fundamental Network Values SKT has established AI-native, Zero Trust, Ubiquitous, Open, and Cloud-native as its key pillars, and aims to maximize customer experience through a Customer-centric network evolution vision that prioritizes fault prevention, security, and quality in response to diverse devices and new service environments. AI technology is expected to evolve along two main directions: ‘AI for Network,’ which enables real-time data analysis and AI-based decision-making for self-optimizing networks; and ‘Network for AI,’ which focuses on optimizing networks to efficiently support AI services. The security paradigm will be strengthened under the Zero Trust principle, and the infrastructure will evolve into a converged platform not tied to specific generations or technologies such as 5G, 6G, or satellite communications. An open ecosystem will be pursued through general-purpose hardware and open-source-based technologies. The white paper also outlines the expansion of virtualization in networks for flexible resource utilization and a vision to prioritize customer needs to enhance customer experience. To achieve this vision, SKT has defined its mid- to long-term network architecture as ATHENA*, detailing structures for the radio access network, core network, transport network, and network data platform. *ATHENA stands for AI-native (integration of artificial intelligence throughout the network), Trust (adoption of Zero Trust security principles), Hyper-connectivity (seamless connections across diverse devices and environments), Experience (customer-centric innovation and enhanced user experience), opeN (openness through open-source technologies and collaborative ecosystems), and Agility (flexible and cloud-native network operations). SK Telecom has presented a mid- to long-term direction to gradually apply AI- and cloud-based intelligence and automation across all network domains. The radio access network will evolve into a structure capable of AI-based autonomous optimization through virtualization and open interfaces. The core and transport networks are expected to advance toward enhanced automation and efficient control using AI in a cloud-native environment. The network data platform will expand its role as a key platform for creating AI-based services and customer value using network data. Active Participation in Global Standardization and Plans to Exhibit Technologies at MWC26 In line with these efforts, SKT is actively participating in major international standardization organizations such as 3GPP, ITU, and O-RAN Alliance to ensure that its future network vision and mid- to long-term architecture are effectively reflected in global standards. The company is conducting advanced R&D in core 6G technologies such as AI-RAN and autonomous networks. Furthermore, SKT was recently elected as a new board member of the AI-RAN Alliance, contributing to discussions on the evolution of next-generation RAN through the convergence of AI and wireless technologies. At the upcoming MWC Barcelona 2026, SKT will showcase key related technologies, including various AI agents for networks, AI-RAN technology that provides both communication and AI services, on-device AI-based antenna optimization, and integrated communication and sensing technology that gathers environmental information via radio signals. “Despite uncertainties in the 6G era, we will continue to create new growth opportunities by leading the evolution of future communication infrastructure over the next decade, prioritizing customer value and combining AI, virtualization, openness, and Zero Trust security,” said Yu Takki, Head of Network Technology Office at SK Telecom. *For more detailed technical insights, please refer to the full 6G white paper, ATHENA, available at:https://bit.ly/3OsdyGq

SK Telecom (NYSE: SKM, hereinafter referred to as “SKT”) announced today that it will showcase its full-stack AI capabilities across AI infrastructure, models and services at MWC Barcelona 2026 (MWC26), the world’s largest connectivity event for the mobile and telecommunications industry, taking place from March 2–5, 2026 in Barcelona, Spain. Under the theme of “AI for Infinite Possibilities,” SKT and its partners will showcase how telecommunications enhance AI technologies and how AI is transforming telecommunications. ■ Exhibition of AI Infrastructure: AIDC Expertise and Network & Marketing Evolution At the SKT exhibition booth, visitors will be able to explore in detail SKT’s core AI infrastructure technologies, including its accumulated expertise in AI data centers (AIDCs), as well as network AI and marketing AI. SKT will showcase the AIDC Infrastructure Manager, an intelligent platform that integrates diverse data generated across AIDCs into a unified system, enabling real-time monitoring and efficient, stable operations. The company will also display its integrated GPU-as-a-Service (GPUaaS) solution, which integrates SKT’s high-performance, high-efficiency cloud platform ‘Petasus AI Cloud,’ the GPU resource optimization solution ‘AI Cloud Manager,’ and the real-time monitoring system ‘GAIA.’ In addition, SKT will introduce its next-generation solution ‘AI Inference Factory,’ designed for an AI market shifting from training-centric to inference-driven computing. The solution integrates equipment, computing infrastructure and software into a single offering, addressing cost, power and memory constraints of conventional AIDCs. The company will present the evolution of telecommunications networks and marketing in the AI era. In the network domain, SKT will showcase innovations such as AI agents designed for network operations; AI-RAN technology that delivers both telecommunications and AI services simultaneously; on-device AI–based antenna optimization; and integrated sensing and communications technology that collects environmental data through radio signals — offering a preview of the future of autonomous networks and the path toward 6G. In the marketing domain, SKT will showcase agentic AI services and supporting platforms designed to enhance customer experience and drive operational innovation. ■ Live Demonstration of its AI Foundation Model ‘A.X K1’ and Physical AI The booth will also feature SKT’s advanced AI models and services, demonstrating the full breadth of the company’s technological capabilities. Through an on-site live demonstration, SKT will present A.X K1, Korea’s first hyperscale AI model with 519 billion parameters, which advanced to Phase 2 of the government-led Sovereign AI Foundation Model Project in January 2026. Visitors will also be able to explore models released as open source under SKT’s AI language model brand A.X. SKT will introduce AI services designed to serve as the brain, senses and eyes of physical AI. These include the Digital Twin Platform, which precisely replicates real-world environments to support physical AI’s decision-making and planning; the Robot Training Platform, which connects virtual environments with real-world sites to help physical AI learn the sensory capabilities it needs; and the high-performance vision solution ‘SynapsEgo,’ which provides advanced analysis of first-person, on-site video footage. The exhibition will also feature a broad portfolio of SKT’s AI-powered services, including the AI call service A. phone (A-DoT phone), the AI voice recording and documentation service A. note (A-DoT note), and the AI-based behavioral recognition care service CareVia. Visitors will also be able to see the AI Property Screening System (AIPS) currently deployed by SK hynix, as well as SK Intellix’s AI wellness robot NAMUHX. A dedicated area within the exhibition space will also be set up to introduce SKT’s AI governance framework, “T.H.E. AI (by Telco, for Humanity, with Ethics AI),” designed to address global AI regulations and changes in the technology landscape. Four leading Korean AI innovators collaborating with SKT — Rebellions, MangoBoost, SelectStar and StudioLab — will also be featured at the booth. ■Collaboration with global telecom operators, AIDC providers and startups At MWC26, SKT will actively explore collaboration with global industry leaders, leveraging its full-stack AI capabilities spanning the entire AI value chain.The company will place particular focus on collaboration in AIDCs, drawing on expertise from the Ulsan AIDC and the Haein GPU cluster, and in AI models following its advancement to Phase 2 of Korea’s Sovereign AI Foundation Model project. Jung Jai-hun, CEO of SK Telecom, and other executives will engage in a series of meetings with key stakeholders, including global telecommunications operators, AIDC providers and startups. Meanwhile, SKT will support Korean startups participating in MWC26 by operating a dedicated startup exhibition area and providing support to help attract global investment. “MWC Barcelona 2026 will serve as a milestone for SK Telecom to show the world how we are bringing AI infrastructure, models and services into reality on the foundation of telecommunications,” said Jung Jai-hun, CEO of SK Telecom. “With our full-stack AI capabilities, we aim to elevate SK Telecom’s role within the global AI ecosystem to the next level.”

SK Telecom (NYSE: SKM) today announced its consolidated earnings for the fiscal year 2025, based on Korean International Financial Reporting Standards (K-IFRS): revenue of KRW 17.0992 trillion and operating income of KRW 1.0732 trillion. Year-over-year (YoY), revenue and operating income declined by 4.7% and 41.1%, respectively. Net income decreased 73.0% to KRW 375.1 billion. On a non-consolidated basis, the company recorded revenue of KRW 12.0511 trillion and operating income of KRW 811.8 billion. Following sustained efforts to overcome the impact of last year’s cybersecurity incident and restore customer trust. As of the end of 2025, 5G subscribers reached 17.49 million, an increase of about 230,000 from the third quarter. The number of fixed-line subscribers, including high-speed internet, also returned to pre-incident net growth levels in the fourth quarter. In 2026, SK Telecom will place its top priority on Customer Value Innovation — the core of its business — while strengthening its fundamental competitiveness. The company aims to build a foundation for qualitative growth by reinforcing internal fundamentals with a focus on profitability. Aiming for tangible results in 2026 with competitiveness in AIDC and AI models In the artificial intelligence (AI) business, AI Data Center (AIDC) revenue reached KRW 519.9 billion, a 34.9% YoY increase. This performance was driven by higher utilization rates at the Gasan (Seoul) and Yangju (Gyeonggi) data centers and the acquisition of the Pangyo data center. The Ulsan AIDC, a joint project with Amazon Web Services (AWS), has progressed smoothly since its groundbreaking in September 2025. In 2026, SK Telecom plans to break ground on an additional data center in Seoul. The company also plans to strengthen its AIDC solution business, while expanding its submarine cable business to generate synergies with its AIDCs. SK Telecom successfully advanced to Phase 2 of the government-led Sovereign AI Foundation Model project in January 2026, gaining further momentum in strengthening its competitiveness in sovereign AI. Based on this achievement, the company expects to secure additional opportunities in various government-led AI initiatives. Integrating AI across all telecommunications sectors to innovate customer value and restore profitability In 2026, SK Telecom plans to apply AI across all areas of its telecommunications business — including products and marketing, networks and distribution channels — to enhance customer experience. For example, AI-driven automation across network design, deployment and operations is expected to improve customer value and drive productivity. SK Telecom will also advance its AI-based Customer Lifetime Value (LTV)* modeling to provide personalized products, membership benefits and distribution channels tailored to individual preferences. *Customer Lifetime Value represents the total value a customer generates over the entire period of using a particular service, serving as a critical metric that reflects the depth of the relationship between the company and its customers. By accelerating its AI Transformation (AX), SK Telecom will focus this year on restoring profitability in its mobile business while strengthening its fundamental competitiveness to secure a foundation for mid- to long-term growth. “This year, SK Telecom will drive customer value innovation across all areas of our telecommunications and AI businesses, and make every effort to improve our financial performance,” said Park Jong-seok, CFO of SK Telecom. ※ The conference call in regard to SKT’s FY 2025 earnings results can be heard via SKT’s webpage on Thursday, February 5, from 16:00 Seoul Time. https://irsvc.teletogether.com/skt/skt2025Q4_eng.php ※ Attachment 1. Summary of Consolidated Income Statement (Unit: KRW billion) Type Full-Year YoY Comparison Quarterly YoY Comparison 2025 2024 YoY 25.4Q 24.4Q YoY Revenue 17,099.2 17,940.6 △4.7% 4,328.7 4,511.5 △4.1% Operating Income 1,073.2 1,823.4 △41.1% 119.1 254.1 △53.1% Net Income 375.1 1,387.1 △73.0% 97.0 394.8 △75.4% ※ Attachment 2. Summary of Non-Consolidated Income Statement (Unit: KRW billion) Type Full-Year YoY Comparison Quarterly YoY Comparison 2025 2024 YoY 25.4Q 24.4Q YoY Revenue 12,051.1 12,774.1 △5.7% 3,083.7 3,190.6 △3.3% Operating Income 811.8 1,523.2 △46.7% 130.8 179.3 △27.1% Net Income 410.8 1,280.5 △67.9% 106.0 285.7 △62.9%

SK Telecom (NYSE: SKM) has been recognized for its research achievements in AI recommendation models that understand individual behavioral contexts and explain the reasons behind recommendations, earning a spot on the stage of a world- renowned AI conference. At the 40th Annual AAAI Conference on Artificial Intelligence (AAAI-26)* held in Singapore from January 20 to 27, 2026, the company presented its research paper “Think Wise, Collaborate Effectively: A Rationale-Aware LLM-Based Recommender with Reinforcement Learning from Collaboration Signals” as an oral presentation on January 24 in the session Data Mining & Knowledge Management Recommender Systems 4. *The AAAI Conference on Artificial Intelligence promotes theoretical and applied AI research as well as intellectual interchange among researchers and practitioners. It is regarded as one of the world’s top AI conferences, alongside the Conference on Neural Information Processing Systems (NeurIPS), the International Conference on Machine Learning (ICML), and the International Conference on Learning Representations (ICLR). This year, the number of paper submissions increased to around 24,000 from last year’s 13,000, while the acceptance rate dropped to 17.6% from 23%, making the competition more intense. Only around 4% of submissions were selected for oral presentation. In addition to its participation in the oral session, SK Telecom also presented a poster on the same day during Poster Session: Data Mining & Knowledge Management 3. The presented paper covers research on the company’s self-developed LLM-based AI recommendation model One Model Version 4. It also introduces methods for applying “reasoning ability reinforcement learning,” which has recently attracted attention among AI researchers worldwide, to real service environments. One Model Version 4 comprehensively understands various behavioral data such as customer clicks, usage history, and interests, and generates in natural language which products or services to recommend; why those recommendations are made; and how to compose marketing messages for customers. In particular, the model goes beyond simple data training by introducing “reasoning ability reinforcement learning,” enabling the AI to improve its own decision-making process and significantly enhance the persuasiveness and accuracy of its recommendations. “Reasoning ability reinforcement learning” refers to a training method in which AI develops its reasoning skills by generating multiple answers on its own and having them evaluated. One Model Version 4 is also trained using collaborative filtering scores - used in traditional recommendation methods - for AI learning, enabling the model to reflect both LLM-based reasoning and consistent user preferences. One Model Version 4 has been applied to a range of SK Telecom’s products and services, where its effectiveness in enhancing recommendation performance has been demonstrated in practice. For instance, it is currently being used in rate plan recommendations, T World (online customer support), T Membership (customer membership program), and T Direct Shop (official online store), achieving up to twice the customer response, such as click-through rates, compared to the previous version. Within this year, SK Telecom plans to expand the use of the model to various other products and services, including T Universe. Since its initial commercial release in 2023 (Version 1), One Model has continuously improved recommendation performance and learning efficiency. Research on One Model Version 1 was accepted at the Conference on Information and Knowledge Management (CIKM) 2023, while the second version of the model received the Best Paper Honorable Mention at International ACM SIGIR Conference on Research and Development in Information Retrieval 2024. One Model Version 3 was introduced at the Conference on Information and Knowledge Management (CIKM) 2025 Workshop, where it garnered considerable attention. “We have once again demonstrated our AI Capabilities by achieving meaningful recognition at world-renowned conferences with our One Model research,” said Seok Ji-hwan, Head of AT/DT Data Office. “We will continue to conduct practical AI research that can be directly applied to actual products and services.”