SK Telecom (NYSE: SKM, hereinafter “SKT”) today announced that it will split its wholly owned subsidiary SK Broadband into a surviving company (SK Broadband) and a newly established company (SK Horizon). In connection with the spinoff, SKT has entered into a definitive agreement with funds managed by KKR, a leading global investment firm, and the IMM Investment-Stonebridge consortium (the “IMM consortium”) for a combined KRW 3.08 trillion equity investment in SK Horizon. The surviving company will focus on innovation in its fixed-line, media, and enterprise businesses, while the newly established company will aim to expand Korea’s leading AI data center (AIDC) infrastructure. Based on the book value of net assets, the spin-off ratio has been set at 0.8351323 (approximately 0.84) for the surviving company and 0.1648677 (approximately 0.16) for the newly established company. SK Horizon, whose name reflects its ambition to “open new horizons” in the AIDC sector, will be responsible for expanding its infrastructure to a total capacity of 318 MW, encompassing eight data centers already in operation – Seocho, Ilsan (2 locations), Bundang, Gasan, Centum, Yangju and Pangyo – and new AIDCs currently under construction, including those in Ulsan and Guro. It will also pursue the phased expansion of its submarine cable infrastructure, which is essential for global AI businesses. SKT plans to strengthen its AIDC operational expertise through SK Horizon and expand into a range of AI infrastructure businesses going forward. In particular, its streamlined decision-making structure is expected to enable the company to more effectively secure funding for key business areas, including through external investment. Kim Seong-soo, CEO of the surviving company SK Broadband, is expected to concurrently serve as CEO of the new company, SK Horizon. The appointment will be finalized through a resolution of the Board of Directors following the completion of the company’s establishment early next year. Securing trillion-won-scale investment from KKR and the IMM consortium demonstrates the strength and future potential of the AIDC business Alongside the spin-off, SKT announced that it has entered into a definitive agreement with funds managed by KKR and the IMM consortium for a combined KRW 3.08 trillion equity investment in SK Horizon. As investors in the newly established company, KKR and the IMM consortium will provide capital to support SK Horizon’s expansion as an AI data center infrastructure platform. Upon completion of all phases of the investment under the transaction, KKR and the IMM consortium will hold 29% and 20% stakes in SK Horizon, respectively, while SKT will retain management control as the largest shareholder with a 51% stake. KKR is one of the most active infrastructure investors globally, with over USD 100 billion in infrastructure assets under management and more than USD 70 billion invested across digital and power assets. KKR is making this investment primarily from its Asia Pacific infrastructure strategy. The IMM Investment-Stonebridge Consortium comprises two leading South Korean investment firms, IMM Investment and Stonebridge Capital. IMM Investment, founded in 1999, is a leading South Korean alternative investment firm with over USD 7.5 billion in assets under management across venture capital, growth equity, and infrastructure. Stonebridge Capital, founded in 2008, is a leading South Korean private equity firm with approximately KRW 3.6 trillion (USD 2.5 billion) in cumulative assets under management, investing in market-leading companies in structurally growing sectors. SKT fully set for AIDC expansion with SK Horizon and SK Hyper With this governance restructuring, SKT has completed the establishment of a full-scale AIDC business structure together with SK Horizon and SK Hyper, a specialized company established last July. SKT will oversee the Group’s overall AIDC business, setting business strategies and directions and collaborating with global big tech companies. Building on its expertise and capabilities in data center operations, SK Horizon will be responsible for expanding infrastructure, including existing key AIDCs and submarine cables. SK Hyper will focus on business development for new AIDC projects, with 5 GW of capacity targeted for phased opening in 2029 and expansion toward a total capacity of 15 GW in 2035. Meanwhile, the surviving company, SK Broadband, plans to strengthen the competitiveness of its fixed-line, media, and enterprise businesses through AX-driven innovation in products and services, while sustaining solid growth. It also plans to accelerate future growth by actively identifying new business models. With the aim of completing the spin-off and establishing the new company in the first quarter of next year, the necessary procedures, including an extraordinary general meeting of shareholders and government approvals, will be carried out. “This governance restructuring is a proactive measure aimed at strengthening expertise and enabling faster execution in the AIDC business,” said Kim Seong-soo, CEO of SK Broadband. “As an AIDC infrastructure company, we will continue to scale up SK Horizon and grow it into Korea’s leading data center operator.” “We are pleased to support SKT as it establishes SK Horizon and expands its AI data center infrastructure platform in Korea,” said Keith Kim, Partner at KKR. “SK Horizon brings together an established operating platform, capacity under development and a strong strategic partner. Korea’s advanced digital ecosystem and growing demand for AI capacity provide a strong foundation for SK Horizon’s next phase of growth.” “AI data centers and submarine cables will be among the core infrastructure assets shaping Korea’s digital sovereignty and industrial competitiveness going forward,” said Kim Byung-hun, Head of Infrastructure at IMM Investment. “By investing in SK Horizon on the back of long-term capital from Korea’s leading institutional investors, the IMM Investment-led consortium aims to build a sustainable growth structure that combines the capital strength of our global partner with the stability of domestic capital.”

SK Telecom (NYSE: SKM, hereinafter “SKT”) today announced its consolidated earnings for the second quarter of 2026, based on Korean International Financial Reporting Standards (K-IFRS): revenue of KRW 4.3591 trillion, operating income of KRW 566.0 billion, and net income of KRW 466.0 billion. Compared with the same period last year, revenue increased by 0.5%, driven by growth in the data center business. Through efficient, profitability‑focused management, operating income rose 5.3% quarter over quarter (QoQ). Year over year (YoY), it surged 67.3%, supported in part by a favorable base effect from one‑off expenses in the prior year. The telecommunications business, which has remained focused on restoring customer trust, showed a clear turnaround driven by efforts to enhance customer value and improve profitability. The AI business also recorded robust growth as execution accelerated under the company's strategy of focus and prioritization. On a non-consolidated basis, the company reported revenue of KRW 3.1170 trillion, operating income of KRW 427.7 billion, and net income of KRW 310.6 billion. The second-quarter dividend is KRW 830 per share, unchanged from the first quarter. AI data center business gains momentum, fueling growth through rapid execution The AI data center (AIDC) business is the fastest-growing segment among SKT’s business areas. In the second quarter, AIDC revenue reached KRW 136.2 billion, up 92.5% year over year, driven by expanded operations. As generative AI adoption spreads across industries and demand for high-performance computing infrastructure surges, timely delivery of AI infrastructure for customers such as global Big Tech companies has never been more critical. Last month, SKT established SK Hyper to spearhead AIDC business development, strengthening the company’s execution engine. SK Hyper will proactively secure key resources, including land and power capacity, and attract global customers to accelerate execution and seize market leadership. Led by SK Hyper, SKT has set an initial goal of bringing AIDCs online in phases starting in 2029, targeting a combined capacity of 5 GW. The telecommunications business continues to deliver qualitative growth centered on customer lifetime value (CLV).* Through efficient marketing activities such as identifying new customer segments and running differentiated campaigns, it achieved net additions in mobile subscribers amid a stable market environment. *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. In particular, SKT launched integrated 5G and LTE plans in July to reorganize its overall pricing structure while continuously enhancing customer value by improving customer experience and service accessibility. “In the first half of the year, we focused on strengthening our fundamentals based on stable telecommunications business profitability while laying the foundation for the rapid expansion of our AI data center business,” said Park Jong-seok, CFO of SK Telecom. “Going forward, we will make every effort to play a leading role in enabling Korea to emerge as an AI infrastructure hub in Asia.” ※ The conference call regarding SKT’s Q2 2026 earnings will be available on SKT’s website on Wednesday, August 5, at 16:00 KST. https://irsvc.teletogether.com/skt/skt2026Q2_eng.php ※Attachment 1.Summary of Consolidated Income Statement(Unit: KRW billion) Type 26.2Q 25.2Q YoY 26.1Q QoQ Revenue 4,359.1 4,338.8 0.5% 4,392.3 △0.8% Operating Income 566.0 338.3 67.3% 537.6 5.3% Net Income 466.0 83.2 459.8% 316.4 47.3% ※Attachment 2.Summary of Non-Consolidated Income Statement(Unit: KRW billion) Type 26.2Q 25.2Q YoY 26.1Q QoQ Revenue 3,117.0 3,135.1 △0.6% 3,105.8 0.4% Operating Income 427.7 250.9 70.5% 409.5 4.4% Net Income 310.6 36.9 742.2% 332.7 △6.6%

SK Telecom (NYSE: SKM, hereinafter referred to as "SKT") today unveiled its proprietary AI foundation model 'A.X K2,' supporting AI transformation across everyday life and industrial fields. Starting today, the 688-billion-parameter A.X K2 model is available through the open-source community Hugging Face. Building on the 519B A.X K1, it delivers enhanced mathematical and scientific reasoning, Korean-language knowledge, and long-context reasoning capabilities. Across 14 benchmarks, A.X K2 posted an average performance gain of 32.2 percentage points over A.X K1. The model delivered particularly strong gains of approximately 83.9 percentage points in long-context understanding and agent-related evaluations. SKT also applied its proprietary Sparse Gated Attention (SGA) architecture to A.X K2. The architecture selectively references the most relevant information as the model processes long contexts, helping maximize accuracy and operational efficiency in industrial environments. A.X K2 demonstrated performance on par with or superior to Qwen 3.5-397B and DeepSeek-V4-Flash — both released within the past six months— on math benchmarks (AIME26, Apex) and Korean-language (KMMLU-Pro, CLIcK) benchmarks.” Supporting AI Transformation Across Manufacturing, Public Sector and Beyond with A.X K2 SKT plans to expand the application of A.X K2 across industry and everyday life. The company conducted four rounds of post-training to verify the model's response quality, stability, and operational efficiency, and is identifying use cases across various sectors, including manufacturing, defense, and bio. · Manufacturing AI: SKT is embedding operational know-how from industrial sites into manufacturing-specialized AI agents powered by A.X K2. In the second half of the year, the company plans to deploy demo versions at steelmaker KG Steel’s cold-rolling line in Dangjin, followed by field trials. Similar trials will also be conducted across auto parts manufacturer KONEC’s casting and machining processes.” · Defense AI: In collaboration with the Ministry of National Defense under the Sovereign AI Foundation Model project, SKT has developed three quantized models based on A.X K1. Given the defense sector’s need for the highest levels of security and data sovereignty, the models apply quantization technology to reduce memory usage and increase processing speed. The Ministry and SKT plan to deploy the models across units under the Army, Navy, Air Force, and Marine Corps. · Bio AI: SKT's proprietary foundation model is also being considered for applications in bio. The company is applying AI to the development of targeted therapies for intractable cancers with SK Biopharmaceuticals, recently helping reduce the early-stage drug research period — typically one to two years using conventional methods — to five months. · Enterprise AI Agents: For enterprise productivity, A.X K2 powers A. Biz, enabling users to generate newsletters, gather and analyze information, and create reports. SKT also provides a lightweight version of A.X K2 for SK hynix’s internal tools to support document drafting and information management tasks. SKT is also supporting the domestic AI ecosystem by providing A.X K1 in API form to participants in programs led by the Ministry of Science and ICT and to three startups — namely Purselly (Marketing), REmited (Commerce), and Devall Company (Finance) — selected for the Ministry of SMEs and Startups-led open innovation program. A lightweight version of A.X K2 has also been integrated into SKT’s AI service, A. (A-DoT), expanding its use into everyday applications. A.X K2 powers the “AI Suggestions” feature in A. Phone, which recommends schedules and to-do items based on users’ call conversations. The model is also used in A. Note’s content summarization features. Unveiling Vision and Audio Models to Scale Manufacturing AI and Service Adoption Centered on A.X K2, SKT has built a derivative lineup — including a vision-language (VL) model based on a vision encoder and a speech model based on an audio encoder·decoder — to meet diverse industry needs. A.X K2 VL Light-Preview and A.X K2 Audio Language Model (ALM) were developed by SKT, while A.X K2 Raon-Speech was developed in collaboration with Krafton, building on SKT’s A.X K2 Light model. · A.X K2 VL Light-Preview (21B): Combines image and text understanding to support enterprise workflows involving reports, manuals and field imagery. Potential applications include analyzing image-based documents such as receipts and academic papers, identifying risks in legal documents, and interpreting industrial piping. · A.X K2 ALM (22B): Designed to recognize and analyze audio from customer consultations, meetings and field environments. SKT is evaluating its use in contact center voice calls. · A.X K2 Raon-Speech (21B): Planned for use in Krafton games to enhance voice-based interactions between players and AI. Going forward, SKT plans to scale the successor to A.X K2 to the trillion-parameter range to secure global competitiveness. The company has been expanding its parameter scale to match that of leading global players, and introduced 500B-plus large-scale models in the first phase of the Sovereign AI Foundation Model Project. “We have advanced a range of capabilities in parallel to enable broad use across everyday life, offices and manufacturing sites,” said Kim Tae-yoon, Head of Foundation Model Office at SKT. “We will continue expanding the adoption of A.X K2 across industries to help drive Korea’s AI competitiveness.” ※ Attachment. Hugging Face Links for A.X K2 and Derivative Models - A.X K2: https://huggingface.co/skt/A.X-K2 - A.X K2 ALM: https://huggingface.co/skt/A.X-K2-ALM - A.X VE (Vision Encoder): https://huggingface.co/skt/A.X-VE - A.X K2 Raon-Speech: https://huggingface.co/KRAFTON/A.X-K2-Raon-Speech-21B-A3B

SK Telecom (NYSE: SKM, hereafter “SKT”) announced that a new standardization work item on robot data production and utilization systems was adopted at the International Telecommunication Union Telecommunication Standardization Sector (ITU-T) international standardization meeting held in Geneva, Switzerland from July 14 to 22. The adopted work item, “Signalling Requirements and Architecture for Robot Data Factory (RDF),” is SKT’s proposal to systematically produce and utilize data required for AI training of intelligent robots such as humanoids. ITU-T is the telecommunication standardization sector of the International Telecommunication Union (ITU), a specialized agency of the UN, and develops international standards in the information and communications field. ITU has around 1,000 institutions, companies, and research organizations from some 190 member countries participating. Robot motion data is akin to “practice problems” used to train robot AI. For robots to become smarter, they need “many” “good problems.” However, the way this data is created and exchanged differs by robot model and onboard software, making it difficult to achieve compatibility between different systems. With the recent growth of the robot industry, demand has been increasing for large-scale, high-quality motion data needed for robot AI to learn how to grasp and move objects and use tools. However, because institutions and companies have collected and managed data in different ways, it has been difficult to secure sufficient scale and consistent quality. Accordingly, SKT proposed a new standardization work item to ITU-T Study Group 11 (SG11) to define the roles of the key functions comprising RDF, its interworking structure, and data exchange methods. Following review and discussion by ITU-T members, the proposal was adopted as a new standardization work item at the July meeting This work item divides the RDF structure into five layers: Service, Robot Model·Data, Infrastructure, Device, and Management. SKT plans to establish the role of each layer and the interworking specifications between layers, enabling functions to be easily connected, replaced, and expanded across different robots and platforms. SKT has been working to build and advance a digital twin platform for manufacturing AI. Building on this, the company is expanding into a robot learning platform that generates robot task data for use in AI training. SKT explained that the adoption of this work item was made possible by the digital twin, AI, and data capabilities it has accumulated over time. Through this standardization work item, SKT plans to strengthen the utility of its digital twin- based robot learning platform, which is being prepared for launch in the second half of the year. Furthermore, building on this international standardization discussion, SKT aims to expand cooperation with domestic and international robotics and AI companies and research institutions, contributing to the revitalization of the robot data ecosystem. “With the adoption of this new standardization work item, SKT has established a foundation for leading international standards discussions, leveraging the digital twin and AI capabilities it has accumulated in the Physical AI field,” said Choi Dong-hee, Head of AI Strategy Planning Office at SKT. “Going forward, building on our technological competitiveness spanning robot learning platforms and AI models, we will continue to spearhead international standardization in robotics.”

SK Telecom (NYSE: SKM, hereafter “SKT”) today announced that it will pursue the construction of an AI data center with a scale of up to 15GW. The goal is to become an AI infrastructure hub in Asia. The move is intended to preemptively build domestic AI computing infrastructure at a time when demand for AI model training and inference is surging and high-performance computing infrastructure determines national competitiveness. SKT is pursuing the project by linking it with the government’s “AI G3” strategy — the goal of becoming one of the world’s three leading AI powers alongside the U.S. and China — and the task of balanced regional development, comprehensively reviewing core infrastructure elements such as power, siting, and operations for the AI data center. Ulsan AI Data Center to Expand to GW Scale; 5GW to Be Activated in Stages from 2029, Reaching 15GW in Total Due to the buildout of high-performance AI computing infrastructure and rising memory prices, constructing a typical 1GW-class AI data center may require a substantial project cost reaching approximately KRW 70 trillion. Such costs are expected to be financed not only through the company’s own investment but also through strategic partner investment, long-term customer contracts, and project financing. The backdrop to SKT’s move into building an AI data center at this scale is a global supply shortage. Global consulting firm McKinsey & Company forecasts that global data center demand will grow 19–22% annually while supply fails to keep pace, resulting in an estimated shortfall of about 15GW in the U.S. alone by 2030¹ Accordingly, global big tech companies are expanding data center investment beyond the U.S. to locations around the world. In this context, Korea is drawing attention as an investment destination for global big tech companies’ AI data centers. Korea holds strong competitiveness in core AI components such as high-bandwidth memory (HBM). It also has stable power supply conditions based on nuclear power and liquefied natural gas (LNG), along with GW-class infrastructure operating capabilities accumulated through operating semiconductor fabs, making it an attractive location for AI data centers. Based on this solid demand and locational advantages, SKT plans to build AI data center capacity totaling 15GW. First, starting with the AI data center currently under construction in Ulsan, SKT will build a cluster of over 2GW across the southeastern region (Gyeongsang), using it as a base to attract AI infrastructure demand from global big tech companies to Korea. It also plans to build an additional 1GW in the southwestern region (Jeolla), bringing its domestic AI data center capacity to a total of 5GW to be opened in stages starting in 2029. To this end, SKT will pursue AI data center construction by considering various factors together — including site selection, power supply, and securing key anchor tenants — in connection with the government’s balanced regional development tasks and strategic supply plans. SK Group brings together full-stack AI infrastructure capabilities; SKT to spearhead the overall project as AI Infrastructure Architect AI data center infrastructure hinges on three core elements: semiconductors, energy solutions, and data center construction and operation capabilities. SK Group already holds these core capabilities across its affiliates. This project will bring together the Group’s full-stack AI infrastructure capabilities, with each affiliate contributing its own strengths. In particular, SKT will take on the central role of leading the design, construction, and operation of the AI data centers. SKT has already been actively pursuing the AI data center business and has continued its cooperation with global big tech companies² At SK AI Summit 2025 last November, SKT President and CEO Jung Jai-hun unveiled the company’s AI infrastructure roadmap, stating that SKT would lead the evolution of AI infrastructure as the nation’s leading AI operator. He also presented a longer-term blueprint for expanding cooperation with global big tech companies and scaling up the Ulsan AI Data Center to a total of over 1GW. More recently, SKT announced plans to operate an “AI Factory,” described as a next-generation AI data center. SKT plans to begin AI Factory operations in 2027 and expand it to GW scale going forward. Korea’s Third National Infrastructure Revolution Following the Gyeongbu Expressway and High-Speed Internet The AI industry expects that AI data centers will serve not only as a new growth engine for Korea, but also as a national strategic asset. In particular, it is expected that linking AI data centers with regional industries will contribute to balanced regional development. The construction of a 15GW-scale AI data center is expected to serve as a springboard for Korea to become an AI infrastructure hub. SKT views AI data centers as Korea’s third innovative infrastructure, following the Gyeongbu Expressway (1968) and high-speed internet (1998), and intends to take a leading role in advancing it. “This AI data center project is aimed at preemptively preparing the computing infrastructure that the global AI ecosystem needs,” said Jung Jai-hun, President and CEO of SKT. “We will work closely with the government, industry, and local communities to help Korea grow into Asia’s core AI infrastructure hub. ¹“AI Power: Expanding data center capacity to meet growing demand” (McKinsey & Company) ²SK Telecom and NVIDIA Build AI Infrastructure to Power Korea’s AI Innovation (June 8, 2026) https://news.sktelecom.com/en/3124 SK Group and AWS Team Up to Build Cloud Computing Infrastructure to Support AI Innovation (June 22, 2025) https://news.sktelecom.com/en/1948

Korea’s Leading Telco to Add NVIDIA-Powered AI Cloud Capacity Built on NVIDIA DSX AI Factory Architecture to Accelerate AI Startups, Robotics and Industrial Physical AI SK Telecom and NVIDIA today announced that SKT plans to build a gigawatt-scale AI Cloud in Korea using the NVIDIA DSX™ platform with the first AI factory coming online in 2027. An AI Cloud is large-scale AI infrastructure comprised of AI factories that manufacture tokens, building blocks of intelligence, from data. Unlike conventional large-scale providers offering general-purpose cloud services, AI Clouds specialize in GPU-based cloud computing tailored specifically for AI workloads across training, inference and agentic AI. SKT’s AI Cloud will be built on NVIDIA DSX full stack reference architecture of software, hardware and operations producing the lowest cost tokens at maximum energy efficiency. SKT’s AI Cloud will power training, inference and agentic workloads including sovereign, physical and enterprise AI services for companies and industries across Korea, with the vision to expand to greater Asia regions. The initiative reflects Korea’s role as one of the world’s most advanced pro-AI industrial economies. Korean companies lead in telecommunications, memory, semiconductors, manufacturing, robotics, mobility and consumer technology — industries where AI is moving from research labs and chatbots into secure, production-grade deployments. “Telecom networks are becoming national AI infrastructure,” said Jensen Huang, founder and CEO of NVIDIA. “They connect people, companies, devices and machines — and now they can become the backbone of new AI clouds. With NVIDIA DSX, SK Telecom can build Korea’s AI cloud at scale and bring agents, enterprise and physical AI to the companies and industries that power Korea and the world.” “Through our close partnership with NVIDIA, we have now secured full-stack AI infrastructure capabilities, from chips to data center operations,” said Chey Tae-won, Chairman of SK Group. “We will work with NVIDIA to tackle GPU, memory, and energy challenges and become a leading AI cloud company shaping Asia’s AI ecosystem.” SK Telecom AI Cloud to Scale Agentic and Physical AI for Industries and Enterprises The new SK Telecom AI Cloud is designed to serve rising demand for AI infrastructure, as accelerated AI computing growth continues to increase. The new infrastructure builds on SK Telecom’s leadership in physical AI and agentic AI development. At GTC Taipei last week, SK Telecom announced its latest work in applying digital twins to SK hynix semiconductor fabs using NVIDIA Omniverse™ libraries, optimizing the technology for complex, large-scale manufacturing environments. In April, SK Telecom revealed that it has adopted open source NVIDIA Nemotron™ datasets to train the A.X K1 model as part of the Korea government’s Sovereign AI Foundation Model Project. Moreover, as part of this collaboration, SKT will become an NVIDIA Cloud Partner, joining a global program through which participants use NVIDIA’s latest AI infrastructure, software and developer ecosystem to deliver excellent AI performance and economics through AI cloud services. NVIDIA DSX Platform Delivers Rapid Design, Ultraefficient Operations The NVIDIA DSX platform is engineered from the ground up with extreme codesign for AI factories, built and operated to drive lowest token cost and accelerate time to first production across NVIDIA chips, systems, software, facilities and partner technologies. NVIDIA DSX MaxLPS™ software delivers the lowest token cost by maximizing token performance per megawatt. NVIDIA DSX OS™ is the operating layer that helps providers increase revenue and improve margins with open source, modular software for lifecycle management, runtime consistency, health automation, resiliency and multi-tenant AI factory operations. NVIDIA and SK Group to Pursue Joint Research for Next-Gen AI Infrastructure NVIDIA and SK Group today announced plans to pursue joint research to codevelop nextgeneration AI factory architecture, extending their collaboration beyond infrastructure deployment. The companies will focus on silicon-to-grid innovation across accelerated computing, memory technologies and data center operations. NVIDIA and SK Group companies including SKT will also explore projects for full-stack AI factory optimization to drive more efficient, scalable and resilient AI services.

SK Telecom (NYSE: SKM, hereinafter referred to as “SKT”) announced today that it has applied digital twins to SK hynix semiconductor fabs using NVIDIA Omniverse libraries, optimizing the technology for complex, large-scale manufacturing environments. Last year, SKT completed a proof of concept (PoC) for applying digital twin technology to SK hynix semiconductor fab. The company plans to proceed with commercialization in phases, aligning with SK hynix’s roadmap to establish an “Autonomous Fab” by 2030. Digital twins recreate actual factories and equipment in virtual environments, enabling companies to simulate and verify the impact of process changes and equipment layout adjustments in advance. By enabling simulation of a wide range of scenarios in virtual environments, digital twins are gaining attention as a core physical AI technology that reduces trial and error while supporting data-driven decision-making. Using the NVIDIA Agent Toolkit, SKT has also developed “Agentic Digital Twin Modeling” technology, which automates and intelligently processes diverse data—such as equipment and spatial structures at manufacturing sites—for digital twin environments. This technology enhances the efficiency of data conversion, scene optimization, and performance improvement tasks that arise during the development and operation of digital twins in manufacturing environments. In particular, SKT is enhancing its platform by integrating NVIDIA Omniverse libraries to improve the loading speed of large-scale OpenUSD-based 3D scenes, execution performance, and GPU and memory usage efficiency. Through this, the company plans to implement a stable and scalable digital twin environment even in complex manufacturing environments with massive data volumes, such as semiconductor fabs. “Semiconductor fabs are among the most challenging manufacturing environments, combining massive amounts of 3D data, complex equipment structures, and the need for high level optimization,” said Mike Geyer, head of industrial digital twins at NVIDIA. “SKT has demonstrated a high level of technical capability in applying and validating NVIDIA Omniverse libraries, as well as the NVIDIA Agent Toolkit in real-world industrial settings within this environment.” “Through our collaboration with NVIDIA, we have validated that manufacturing digital twins can evolve beyond simple 3D visualization into a physical AI platform capable of understanding and optimizing large-scale 3D manufacturing data,” said Cho Ik-hwan, Head of Physical AI at SKT. “Going forward, SKT will continue to expand its role as a physical AI technology partner with NVIDIA across various industrial sectors, including semiconductors.” Meanwhile, as a provider equipped with end-to-end AI solutions — from AI infrastructure and models to services — SK Telecom plans to expand and strengthen its business targeting the enterprise and public sectors.

SK Telecom (NYSE: SKM, hereinafter referred to as “SKT”) announced today that it has signed a Memorandum of Understanding (MOU) with the Ministry of National Defense (MND) on “Applying the Ministry of Science and ICT (MSIT)’s Sovereign AI Foundation Model to Defense Sector” to accelerate defense AI transformation (AX). The agreement marks the first application of MSIT’s Sovereign AI Foundation Model Project in the defense sector. The initiative represents a public-private-military collaboration aimed at expanding the AI ecosystem and strengthening the nation’s AI competitiveness. The signing ceremony was held at SKT’s headquarters in Seoul with the attendance of Kim Myung-gook, Head of Industrial AI Office at SKT, and Jeon Joon-boem, Director General of the Defense AI Planning Bureau at MND. Under the MOU, SKT and MND will cooperate on developing and demonstrating defense specialized AI models based on the Sovereign AI Foundation Model Project; collecting and utilizing publicly available defense data; and utilizing GPUs provided as part of MSIT’s National AI Project. This partnership is expected to significantly improve the efficiency of defense administrative operations. This MOU was established as a follow-up measure under MSIT’s Sovereign AI Foundation Model Project, aimed at accelerating digital transformation by applying AI to the defense sector. This milestone builds on the SKT Consortium’s success in January, when it qualified for the project’s second phase with ‘A.X K1’ — Korea’s first hyperscale AI model, featuring more than 519 billion parameters. This collaboration is significant in that it goes beyond model development to validate real-world applicability. SKT will spearhead the development of defense-specialized AI models, leveraging its capabilities in large language model (LLM) development and GPU-as-a-Service (GPUaaS) infrastructure. The company plans to apply lightweighting technologies to its A.X K1 and A.X K2, the next model in the A.X K series currently in development, and further train them with defense-specific data to create AI models optimized for the defense environment. In particular, the defense sector is uniquely characterized by its demand for the highest levels of security and data sovereignty. This collaboration carries significant meaning as it represents the first step toward introducing sovereign AI to safeguard national defense autonomy. SKT plans to provide MND with lightweight versions of its models, optimized for reduced size and faster processing speed. MND will provide SKT with GPU resources secured through MSIT’s National AI Project during the second quarter of this year. SKT will leverage these resources to develop and pilot high performance AI models, while strengthening the collaborative framework built on national R&D infrastructure. “Through this agreement, we expect to rapidly develop and demonstrate a defense specialized AI model based on the Sovereign AI Foundation Model Project, which could serve as a turning point for taking defense AI transformation to the next level,” said Jeon Joon-boem, Director General of the Defense AI Planning Bureau at MND. “To effectively introduce AI across the defense sector, we will continue to expand cooperation with the private sector, including SKT.” “This collaboration will serve as a pivotal moment for our proprietary AI technology to be deployed at scale across the defense sector,” said Choi Dong-won, Director General of the Artificial Intelligence Infrastructure Policy Bureau at MSIT. “We will actively support defense AI transformation by combining the private sector’s outstanding technological capabilities with the government’s GPU infrastructure, and in doing so, create a virtuous cycle that energizes the AI ecosystem in Korea.” It is deeply meaningful to contribute to strengthening Korea’s national defense competitiveness based on SKT’s integrated capabilities spanning AI technology, data centers, and telecommunications,” said Kim Myung-gook, Head of Industrial AI Office at SKT. “Going forward, we will continue to expand AI adoption across sectors where data sovereignty and security are paramount — including finance, manufacturing, healthcare, and the public sector — to further advance Korea’s AI competitiveness.”

SK Telecom (NYSE:SKM, hereinafter referred to as “SKT”) today announced its consolidated earnings for the first quarter of 2026, based on Korean International Financial Reporting Standards (K-IFRS): revenue of KRW 4.3923 trillion, operating income of KRW 537.6 billion, and net income of KRW 316.4 billion. Revenue increased 1.5% quarter over quarter (QoQ), driven by a recovery in the wireless business and growth in the AI Data Center (AIDC) business. Through company-wide productivity improvement efforts, operating income exceeded KRW 500 billion on a quarterly basis for the first time since the first quarter of last year. Following a period of subdued performance last year, SKT posted a clear turnaround in the first quarter of 2026, driven by efforts to innovate customer value and restore trust. The company’s AI business, built on a strategy of focus and selectivity, also improved its profitability and delivered tangible results. On a non-consolidated basis, the company reported revenue of KRW 3.1058 trillion, operating income of KRW 409.5 billion, and net income of KRW 332.7 billion. SKT also reinstated its quarterly dividend, with a dividend of KRW 830 per share for the first quarter. Handset subscribers up 210,000 as trust restoration efforts bring customers back SKT achieved net additions of approximately 210,000 handset subscribers in the first quarter of 2026. Mobile service revenue increased 1.7% QoQ. These results are attributable to the company’s commitment to placing customers at the core of its business and implementing a range of measures to strengthen fundamental competitiveness. SKT recently revamped its membership program to expand customer benefits and improve ease of use. The company is also advancing a restructuring of its rate plans to further enhance customer choice. SK Broadband, the company’s fixed-line subsidiary, recorded revenue of KRW 1.1498 trillion and operating income of KRW 116.6 billion, up 3.2% and 21.4% year over year (YoY), respectively, driven by growth in high-speed internet subscribers. AI Data Center business accelerates, fuelling full-scale push into AI B2B market SKT’s AI business is delivering tangible results through its strategy of focus and selectivity. The AIDC business, a key growth engine, recorded revenue of KRW 131.4 billion in the first quarter, surging 89.3% YoY. Performance was driven by higher utilization rates at data centers including the Gasan (Seoul) data center, as well as increased revenue from GPUaaS (GPUas-a-Service)*, adding further momentum to the business. *A service that provides GPU resources in a cloud-based model according to customer demand As AI infrastructure demand from global Big Tech companies accelerates rapidly, SKT plans to reinforce its competitiveness across the full AIDC value chain and continuously expand its infrastructure footprint. The company will also broaden its push into the AI Business-to-Business (B2B) market. As the only domestic provider with full-stack capabilities spanning AI infrastructure, models, and services, and drawing on its accumulated experience in the enterprise business, SKT plans to make a full-scale entry into the AI B2B market going forward. To this end, the company has recently established an integrated organization to drive enterprise business, reporting directly to the CEO. In the AI Business-to-Consumer (B2C) space, SKT plans to enhance its fundamental competitiveness by creating synergies between the AI agent business and the telecommunications industry. In particular, its flagship AI service ‘A.’ (pronounced “A-dot”) is set to enhance its performance by leveraging a sovereign AI foundation model on par with leading global models, thereby strengthening its standalone competitiveness. “The first quarter of 2026 was a meaningful period in which we delivered tangible results in line with this year’s goals — strengthening fundamental competitiveness centered on customer value and restoring profitability through a focused AI business,” said Park Jong-seok, CFO of SK Telecom. “Going forward, we will make every effort to restore our earnings by generating sustained results.” ※ The conference call in regard to SKT’s 1Q 2026 earnings results can be heard via SKT’s webpage on Thursday, May 7, from 16:00 Seoul Time. https://irsvc.teletogether.com/skt/skt2026Q1_eng.php ※Attachment 1.Summary of Consolidated Income Statement(Unit: KRW billion) Type 26.1Q 25.1Q YoY 25.4Q QoQ Revenue 4,392.3 4,453.7 △1.4% 4,328.7 1.5% Operating Income 537.6 567.4 △5.3% 119.1 351.3% Net Income 316.4 361.6 △12.5% 97.0 226.2% ※Attachment 2.Summary of Non-Consolidated Income Statement(Unit: KRW billion) Type 26.1Q 25.1Q YoY 25.4Q QoQ Revenue 3,105.8 3,167.5 △1.9% 3,083.7 0.7% Operating Income 409.5 482.4 △15.1% 130.8 213.2% Net Income 332.7 474.6 △29.9% 106.0 214.0%

SK Telecom (NYSE:SKM, hereinafter referred to as “SKT”) announced today that its new AI recommendation model, which more accurately identifies customers’ true preferences, was presented at a leading AI conference, the International Conference on Learning Representations (ICLR) 2026. ICLR, along with the Conference on Neural Information Processing Systems (NeurIPS) and the International Conference on Machine Learning (ICML), is regarded as one of the world’s top three AI conferences. Technologies presented at these events see industrial application within a few years or become benchmarks for academic research and product development, making them key indicators of the future direction of AI. The research paper, titled “More Than What Was Chosen: LLM-Based Explainable Recommendation Beyond Noisy User Preferences,” centers on SKT’s proprietary ConflictAware Direct Preference Optimization (C-APO) technology. The technology filters out conflicting preference signals, enabling more accurate recommendations of products that customers genuinely desire. To achieve this, SKT introduced the concept of “coherent preference” — reflecting recurring patterns and contextual coherence across a customer’s overall behavior. Through this approach, the model distinguishes coherent preferences from revealed preferences derived from single actions, such as accidental clicks or one-time, unintentional choices. This approach increases the learning weight when the two preference signals align, reinforcing the recommendation. When the signals conflict, the model treats the discrepancy as noise and lowers the learning weight, enabling it to identify the most appropriate recommendations. Conventional AI recommendation systems have struggled to interpret conflicting preference signals — for example, a customer who typically watches romance films may receive only action recommendations after watching even a single action movie based on a friend’s suggestion. SKT’s new recommendation model, however, filters out such inconsistencies to identify the customer’s true preferences. SKT plans to apply this research to future agent-based customer recommendation systems that integrate AI for interpreting usage context, generating recommendation candidates, and refining results through an orchestration layer. The company aims to deliver more advanced and personalized recommendations tailored to each customer’s needs and behavior. “The technology lays the foundation for delivering personalized recommendations by better understanding customers’ true preferences,” said Seok Ji-hwan, Head of AI/DT Data Office at SK Telecom. “The presentation at ICLR 2026 marks a milestone in SKT’s AI transformation to enhance customer experience, and we will continue to advance AI technologies that customers can benefit from.”