On December 28, 2025, SK Telecom said its consortium has built A.X K1, a hyperscale AI language model with 519 billion parameters. The Korea Times reports the company will present the model as part of South Korea’s government-backed national AI foundation initiative, positioning it as a 'teacher model' for smaller systems.
This article aggregates reporting from 1 news source. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
A.X K1 is a major move in the “sovereign AI” race: South Korea is now fielding a 500B‑scale foundation model explicitly framed as national infrastructure, not just a commercial product. By designing it as a teacher model that distills into sub‑70B specialized systems, SK Telecom’s consortium is effectively building a layered ecosystem where one ultra‑large model seeds many domain and on‑device models across industry and government.
Strategically, this pushes Korea closer to its stated goal of joining the U.S. and China in the top AI tier. The model is deeply tied to domestic chips, data centers and services, which means progress here strengthens Korea’s whole AI supply chain—from NPUs to consumer apps like A.Dot and enterprise AIX offerings. For the broader race to AGI, A.X K1 underscores two trends: ultra‑large models are increasingly national projects, and they’re being wrapped in full‑stack ecosystems rather than exposed as raw APIs.
Competitively, this raises the bar for regional telcos and cloud players who still rely heavily on imported models. If SK Telecom follows through on plans to open-source A.X K1 and expose robust APIs, it could become a de facto standard platform for Korean‑language and multi‑modal agents—pressuring both Western closed models and Chinese open‑source systems in Asia.


