TechnologyFriday, January 2, 2026

Naver and Kakao double down on agentic AI platforms for 2026

Source: The Korea Times
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TL;DR

AI-Summarized

South Korea’s Naver and Kakao outlined 2026 roadmaps to turn their search and messaging ecosystems into agentic AI platforms that proactively execute tasks for users. Naver plans an Agent N-based AI shopping agent, search AI tab, and over 1 trillion won (about $691 million) in GPU and infrastructure investment, while Kakao prepares its Kanana-2 on-device agent for full integration into KakaoTalk and related services.

About this summary

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.

1 company mentioned

Race to AGI Analysis

Naver and Kakao are effectively declaring that traditional keyword search and passive messaging are legacy modes. Their 2026 plans push hard into agentic AI: Naver with Agent N spanning shopping, maps, calendar, and business workflows, and Kakao with Kanana-2 embedded directly in KakaoTalk and search. This is an explicit bet that the winning consumer platforms will not just answer questions, but carry out multi-step tasks end-to-end—booking, buying, and coordinating across services with minimal user friction. ([koreatimes.co.kr](https://www.koreatimes.co.kr/amp/business/tech-science/20260102/naver-kakao-gear-up-for-agentic-ai-era-in-2026))

Strategically, this tightens the competition with global foundation model providers. Kakao’s partnership with OpenAI gives it frontier capabilities, but its real moats are on-device context, local data, and distribution to nearly 50 million domestic users. Naver is responding by spending over 1 trillion won on GPU and AI infrastructure, essentially building Korea’s own scaled agent stack in parallel to U.S. hyperscalers. For the race to AGI, the interesting shift is architectural: both companies are moving from single-model chatbots to orchestrated, tool-using agents that live inside popular apps. That will generate a massive stream of real-world interaction traces—exactly the kind of data that can later train more capable, generalist agents.

May advance AGI timeline

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Companies Mentioned

OpenAI
OpenAI
AI Lab|United States
Valuation: $300.0B