South Korea’s top 3 telcos reinvent themselves as “AI Companies;” growth strategies revealed

Overview:

South Korea’s telecommunications industry is rapidly shifting its center of gravity to AI, with SK Telecom, KT and LG Uplus all declaring their transformation into AI companies. Industry officials describe this as a restructuring process.

  • SK Telecom is pushing a full-stack AI strategy spanning infrastructure, models and services.
  • KT is accelerating a B2B-focused push to become an “AX” platform company.
  • LG Uplus is positioning itself as an AI software company through its ixi-O agent, stressing safety and security. Industry officials say the next test is profitability.
Photo credit: Shutterstock
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Here’s a summary of the AI strategies of the three South Korean telcos:
1. SK Telecom – Pioneering Sovereign AI and Full-Stack Infrastructure:

Ryu Jong-heon, SKT’s CEO, wrote in a letter sent to shareholders ahead of last month’s annual general meeting, “If our AI business so far was about incubating various areas, we will now focus more on businesses where SKT can be competitive and secure sustainability in AI competition that is expanding without limit.”

SK Telecom (SKT) is prioritizing a “Sovereign AI” strategy, designed to offer localized, secure AI infrastructure that mitigates reliance on external hyper-scalers. By integrating AI Data Centers (AIDC) with industry-specific applications and their proprietary A.X K1 model—a 500B parameter hyper-scale LLM—SKT aims to deliver an end-to-end “Sovereign AI Package.”
To fortify its AI full-stack, SKT is leveraging a robust partnership ecosystem:
  • Next-Gen Compute: Strategic collaboration with Arm and Rebellions for AI CPU/NPU innovation.
  • Infrastructure & Power: Agreements with Supermicro and Schneider Electric to optimize AIDC efficiency and server density.
  • Model Scaling: With A.X K1 outperforming benchmarks like DeepSeek V3.1, SKT plans to transition to multimodal capabilities and trillion-parameter scaling to secure market dominance across B2B and B2C segments.

2. KT Corporation – Transitioning to an AX Platform Operator:

Under the leadership of CEO Yun-young Park, KT is accelerating its AX (AI Transformation) strategy with a sharp focus on the B2B sector. Following a structural reorganization that established the AX Future Technology Institute and the AX Business Division, KT is positioning itself as a platform enabler rather than a mere solution provider. Despite perceived lags in proprietary model development (e.g., the mi-deum LLM), KT is pursuing a pragmatic “practical gains” strategy. By partnering with Microsoft, KT is adopting a “detour” approach to rapidly integrate global-standard AI capabilities into its existing corporate customer base. CEO Yun-young Park explained, “If AI services are actors on a theatre stage, we are an AX platform company that builds that stage.”

3. LG Uplus -Move to AI-Driven Software and Security:

LG Uplus, led by CEO Beom-sik Hong, is leveraging security and reliability as its primary competitive differentiators. The company is transitioning into an AI-centric software (SW) company, focusing on high-margin service architectures over raw infrastructure. The cornerstone of this strategy is ixi-O, a voice AI agent. The upcoming ixi-O Pro will feature advanced behavioral analytics, including tone and emotional state detection, to provide proactive customer engagement.  Hong stated, “We will become an AI-centred software (SW) company that leads solutions in telecommunications and AX technology,” signaling a two-track global expansion strategy involving both service exports and technology stack licensing.

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Market Outlook: The Race for Monetization:
As the “Three Firms, Three Strategies” AI era unfolds, the industry focus has shifted from experimental incubation to sustainable monetization. An industry official noted, “The key is how to graft telecommunications network technology built up so far onto AI services. All three telcos have finished setting specific roadmaps. Now is the time to prove it with results.” Many believe that the Korean network operator that successfully bridges the gap between massive CAPEX in AI infrastructure and scalable, profitable AI-native services will ultimately define the next generation of telecommunications.
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References:

https://www.digitaltoday.co.kr/en/view/49093/koreas-top-three-telecoms-bet-future-on-ai-shift-from-networks

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Nscale pitches “Sovereign AI” to telecom operators to provide AI-as-a-service (AIaaS)

Nscale [1.], headquartered in London, UK, is suggesting that telecom networks host “Sovereign AI” infrastructure, to ensure that data remains within regional borders while driving efficiency and automation. The company is collaborating with Nokia to accelerate global AI infrastructure deployment and is showcasing these solutions at MWC 2026.  The company is partnering with telecom operators to transform their existing national fiber and edge sites into high-performance AI data centers. They aim to leverage telco assets to deliver GPU-powered AI-as-a-Service (AIaaS), optimize their 5G networks, and support AI-driven analytics.

Note 1. Nscale is building the advanced infrastructure, systems and solutions that enables practitioners, enterprises, and governments across the globe to create, deploy, and scale their most transformative AI systems.  Nscale’s AI Compute offering provides on-demand access to high-performance GPUs, enabling businesses and developers to execute complex computational tasks like AI model training and data analysis without the need for upfront investment in expensive hardware. Nscale is building its own high-density data centers with direct liquid cooling to support these initiatives.

Nscale says they are “empowering telecommunications providers to deliver a range of AI services and solutions which help support network optimization and network performance monitoring, alongside improving customer experience with AI-powered automation tools. With our scalable GPU infrastructure and AI expertise, our telco customers can provide industry-leading AI-as-a-service (AIaaS), scale for 5G and benefit from artificial intelligence.”

Last week at the UK Telecoms Innovation Network (UKTIN)’s AI & Advanced Connectivity: State of AI panel, Nscale’s Simon Rowell spoke about the importance of building infrastructure that is resilient and able to adapt over time. Technologies evolve, but what matters is whether the underlying infrastructure can accommodate that change. Across telco networks and digital services, the fundamentals remain consistent: efficiency, automation, productivity, and resilience.  Nscale is focused on building flexible AI infrastructure that can support real services as requirements change.

UK Telecoms Innovation Network Panel Session State of AI in UK Telecoms.    Photo Credit: Nscale

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Nokia and Nscale are collaborating to accelerate the development of AI-ready data center infrastructure across Europe and globally. As part of this partnership, Nokia serves as the preferred networking partner for Nscale, providing IP, optical networking, and data center switching technology to support high-performance AI clusters.  Key aspects of the collaboration include:

  • Infrastructure Build-out: Nokia is supplying its 7220 IXR and 7750 SR platforms to support Nscale’s AI-ready data centers, including a key project in Stavanger, Norway, and a 50 MW AI Campus in Loughton, U.K..
  • Strategic Investment: Nokia is an investor in Nscale’s Series B funding round, supporting the company’s expansion and the deployment of up to 300,000 GPUs.
  • Technology & Innovation: The partnership focuses on co-developing networking stacks for AI clusters, utilizing Nokia’s Ethernet-based data center fabric for low-latency, high-performance computing. Sustainability
  • Focus: The collaboration emphasizes energy-efficient cooling and 100% renewable energy for data center operations. Nokia Nokia +4

David Power CTO at Nscale said, “Our mission is to redefine the boundaries of AI and High-Performance Computing through innovative, sustainable solutions. Nokia’s data center fabric enables us to scale our GPU clusters while maintaining the reliability and performance needed to serve our customers with cutting-edge AI services. The flexibility of Nokia’s solution ensures we can bring advanced AI capabilities to market faster.”

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References:

https://www.nscale.com/about

https://www.linkedin.com/posts/nscale-cloud_last-week-at-uktinsai-advanced-connectivity-activity-7419006446308139008-Tvvc/

https://www.nokia.com/customer-success/nokia-building-ip-network-to-support-ai-workloads-at-nscales-new-sustainable-data-center/

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