SK Telecom Unveils Aster: Global AI Personal Agent at SK AI Summit 2024

At the SK AI Summit 2024, SK Telecom introduced Aster, a powerful AI personal assistant poised to revolutionize global digital interactions. Designed for a global market and set for beta release in North America, Aster offers a personalized experience by integrating advanced AI capabilities with a robust infrastructure. With SK Telecom’s innovative AI Infrastructure Superhighway, Aster can seamlessly manage tasks, organize schedules, and simplify planning for users worldwide.
SK Telecom Unveils Aster: Global AI Personal Agent at SK AI Summit 2024
Image Credit: SKT

Aster: A Cutting-Edge AI Assistant for Daily Life

On the second day of the SK AI Summit 2024, SK Telecom unveiled Aster(A*), its new artificial intelligence (AI) personal agent designed for a global audience. Set to launch in a closed beta in North America later this year and fully by 2025, Aster is not a typical digital assistant. This “Agentic AI” goes beyond simple queries, understanding user intentions to help set goals, make plans, and carry out tasks in various aspects of daily life.


SK Telecom has crafted Aster as a “Guiding Companion,” with functions like “Planning Made Easy” and “Never Drop the Ball” to provide users with a seamless experience for managing personal tasks and schedules. Powered by a refined large language model (LLM) and AI-driven task management, Aster can execute complex tasks based on user preferences and needs, creating a unique personalized experience.

Building an AI Ecosystem with Global Partnerships

To support Aster’s robust functionality, SK Telecom is working closely with major search providers, LLM developers, and third-party application providers. This collaboration is essential for creating a comprehensive AI ecosystem tailored specifically to North American users, allowing Aster to integrate more seamlessly into diverse services and digital platforms.

Chung Suk-geun, Head of Global/AI Tech Business at SK Telecom, emphasized the value of this interconnected approach, stating, “With Aster, users interact with a single app, but they’re tapping into an extensive AI ecosystem.” Through these partnerships, SK Telecom aims to enhance the user experience and provide unmatched convenience and value.

Expanding AI Initiatives: SK Telecom’s AI Infrastructure Superhighway

During the summit, SK Telecom also revealed ambitious plans to further its AI initiatives with the creation of an ‘AI Infrastructure Superhighway.’ This project centers around three key components: AI data centers (AIDCs), GPU-as-a-Service (GPUaaS), and Edge AI. This infrastructure is designed to support both national and global AI operations, reducing costs and making AI services more accessible.

  1. AI Data Centers (AIDCs): SK Telecom plans to construct high-capacity AI data centers equipped with advanced AI computing resources to support Aster and other AI services.
  2. GPU-as-a-Service (GPUaaS): With GPUaaS, companies can access high-performance GPUs in the cloud, enabling them to develop and deploy AI services more affordably and without investing in dedicated hardware.
  3. Edge AI: By integrating AI computing with mobile networks, Edge AI allows for reduced latency, improved privacy, and better security, filling the gap between large AIDCs and on-device AI processing. This Edge AI capability is particularly advantageous for applications where quick data processing is essential.

These initiatives align SK Telecom’s AI strategies with the evolving demands of the telecommunications industry, where AI and connectivity increasingly intersect. “The competition in telecommunications infrastructure has traditionally focused on speed and capacity, but the paradigm must shift,” said SK Telecom CEO Ryu Young-sang. “6G will transform into a next-generation AI infrastructure where communication and AI converge.”

Collaborative AI Development for Global Reach

SK Telecom has been advancing its AI capabilities through partnerships with global AI companies, enabling it to build a powerful AI ecosystem that meets international standards. These collaborations, coupled with the development of energy-efficient AI data centers and specialized AI semiconductors, support SK Telecom’s vision of expanding its AI services to new markets.

In recent years, SK Telecom has also revamped its AI service portfolio, including enhancements to its “A.” (A-DoT) app. This update reflects a more refined approach to natural conversation, using multi-agent technology to make everyday interactions smoother and more intuitive. This focus on conversational AI and day-to-day assistance aligns with SK Telecom’s overarching mission to enhance global user experiences through AI.

Transforming SK Telecom into a Global AI Powerhouse

Since its founding in 1984, SK Telecom has consistently led the mobile industry, but its focus is now shifting to AI-driven transformation. By focusing on AI Infrastructure, AI Transformation (AIX), and innovative AI Services, the company aims to become a global leader in artificial intelligence. With initiatives like Aster and the AI Infrastructure Superhighway, SK Telecom is paving the way for integrated AI and connectivity, ultimately enhancing industry and society worldwide.

Aster’s global launch and SK Telecom’s foundational AI investments mark a significant step forward in redefining what AI-powered communication can achieve, creating a future where digital interactions become more seamless, intelligent, and personalized.


Recent Content

Edge AI is reshaping broadband customer experience by powering smart routers, proactive troubleshooting, conversational AI, and personalized Wi-Fi management. Learn how leading ISPs like Comcast and Charter use edge computing to boost reliability, security, and customer satisfaction.
The pressure to adopt artificial intelligence is intense, yet many enterprises are rushing into deployment without adequate safeguards. This article explores the significant risks of unchecked AI deployment, highlighting examples like the UK Post Office Horizon scandal, Air Canada’s chatbot debacle, and Zillow’s real estate failure to demonstrate the potential for financial, reputational, and societal damage. It examines the pitfalls of bias in training data, the problem of “hallucinations” in generative AI, and the economic and societal costs of AI failures. Emphasizing the importance of human oversight, data quality, explainability, ethical guidelines, and robust security, the article urges organizations to proactively navigate the challenges of AI adoption. It advises against delaying implementation, as competitors are already integrating AI, and advocates for a cautious, informed approach to mitigate risks and maximize the potential for success in the AI era.
A global IBM study reveals 81% of CMOs see AI as critical for growth, yet 54% underestimated the operational complexity. Only 22% have set clear AI usage guidelines, despite 64% now being responsible for profitability. Siloed systems, talent gaps, and lack of collaboration hinder translating AI strategies into results, highlighting a major execution gap as marketing leaders adapt to increased accountability for profit and revenue growth.
Elon Musk’s generative AI firm, xAI, is targeting $4.3 billion in new equity funding, following its previous $6 billion raise and a $5 billion debt effort. The capital will support high-cost AI models like Grok and Aurora, expand massive GPU-powered data centers, and drive xAI’s ambition to compete with leaders like OpenAI and DeepMind. Investors remain interested despite concerns over spending, betting on Musk’s strategy to blend social media and AI under one ecosystem.
The emergence of 6G networks marks a paradigm shift in the way wireless systems are conceived and managed. Unlike its predecessors, 6G will embed Artificial Intelligence (AI) as a native capability across all network layers, enabling real-time adaptability, intelligent orchestration, and autonomous decision-making. This paper explores the symbiosis between AI and 6G, highlighting key applications such as predictive analytics, alarm correlation, and edge-native intelligence. Detailed insights into AI model selection and architecture are provided to bridge the current technical gap. Finally, the cultural and organizational changes required to realize AI-driven 6G networks are discussed. A graphical abstract is suggested to visually summarize the proposed architecture.
As the telecom world accelerates toward 5G-Advanced and sets its sights on 6G, artificial intelligence (AI) is no longer a peripheral technology — it is becoming the brain of the mobile network. AI-driven Radio Access Networks (RANs), and increasingly AI-native architectures, are reshaping how operators design, optimize, and monetize their networks. From zero-touch automation to intelligent spectrum management and edge AI services, the integration of AI and machine learning (ML) is unlocking both operational efficiencies and new business models.

This article explores the evolution of AI in the RAN, the architectural shifts needed to support it, the critical role of Open RAN, and the most promising AI use cases from the field. For telcos, this is not just a technical upgrade — it is a strategic inflection point.
Whitepaper
Telecom networks are facing unprecedented complexity with 5G, IoT, and cloud services. Traditional service assurance methods are becoming obsolete, making AI-driven, real-time analytics essential for competitive advantage. This independent industry whitepaper explores how DPUs, GPUs, and Generative AI (GenAI) are enabling predictive automation, reducing operational costs, and improving service quality....
Whitepaper
Explore the collaboration between Purdue Research Foundation, Purdue University, Ericsson, and Saab at the Aviation Innovation Hub. Discover how private 5G networks, real-time analytics, and sustainable innovations are shaping the "Airport of the Future" for a smarter, safer, and greener aviation industry....
Article & Insights
This article explores the deployment of 5G NR Transparent Non-Terrestrial Networks (NTNs), detailing the architecture's advantages and challenges. It highlights how this "bent-pipe" NTN approach integrates ground-based gNodeB components with NGSO satellite constellations to expand global connectivity. Key challenges like moving beam management, interference mitigation, and latency are discussed, underscoring...

Download Magazine

With Subscription

Subscribe To Our Newsletter

Scroll to Top

Private Network Readiness Assessment

Run your readiness check now — for enterprises, operators, OEMs & SIs planning and delivering Private 5G solutions with confidence.