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Home » Artificial Intelligence

Anthropic Opens Seoul Office, Gives 60 Researchers Claude for AI Safety

Published on: June 17, 2026, 1:25 PM EDT
Barry Elad
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Barry Elad is a seasoned journalist and analyst specializing in finance, technology, AI, and founder of SQ Magazine. He explores the world o...
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Anthropic Opens Seoul Office
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Anthropic’s Seoul office is now open as of June 17, 2026, according to Anthropic, marking the company’s newest Asia-Pacific base. Korea now ranks among the top dozen countries worldwide for Claude.ai use.

Key Points

  • Anthropic’s senior leadership will travel to Seoul in the coming weeks to officially open the office and meet customers.
  • KiYoung Choi, a Snowflake veteran with more than three decades in technology, leads the office as Representative Director of Korea.
  • NAVER, Nexon, LG CNS, Hanwha Solutions and Samsung SDS are deploying Claude across their engineering and enterprise teams.
  • Anthropic will give up to 60 NAIRL-affiliated researchers Claude access for AI safety, alignment and robustness work.
  • Korean users rank among Claude’s most active globally, and Anthropic’s Asia-Pacific run-rate revenue has grown over 10x in the past year.

What Happened?

KiYoung Choi joined from Snowflake, where he was General Manager for Korea, according to Anthropic. His earlier country-leadership roles spanned Google Cloud, Adobe, Autodesk and Microsoft, per Anthropic. The move builds on the company’s Claude Security Beta and its newest Claude Fable Model.

“What I see in Korea are teams who understand that innovation and safety are two sides of the same coin,” said Choi. The office is the headline, yet the partner roster carries the real adoption story.

The Korean Enterprises Already Running Claude

Korea’s largest technology firms are putting Claude into production across software engineering and enterprise operations. NAVER has deployed Claude Code across its entire engineering organization. Nexon’s engineering teams use Claude Code to write, review and ship code for live-service games.

The rollouts reach IT services and heavy industry:

  • LG CNS is rolling out Claude to thousands of employees who build software and technology solutions.
  • Hanwha Solutions is bringing Claude to global employees through AWS Bedrock.
  • Samsung SDS is deploying Claude to employees across Samsung Electronics.
  • Channel Corp uses Claude to power Channel Talk, its customer AI platform.

The pattern matters more than the logos: organisation-wide rollouts at conglomerates this size show Claude Code shifting from evaluation to standing developer tooling.

The Research and Safety Partnership

The launch pairs commercial adoption with a research commitment aimed at safety. Anthropic will provide Claude access to up to 60 NAIRL-affiliated researchers, supporting work on AI safety, model evaluation, alignment, robustness and broader frontier AI research.

That framing is consistent with how the company positions its enterprise tools. Set against Korea’s national AI goal, the safety mandate reads less like a side note than a wedge into a sovereign AI strategy.

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Why Korea, and Why Now?

The timing tracks both Korea’s policy goals and the vendor’s regional momentum. The Korean government recently announced plans to become one of the world’s top three hubs of AI development. The new office follows Anthropic’s recent openings in Tokyo and Bengaluru.

Demand is climbing alongside that policy push. Anthropic’s run-rate revenue in Asia-Pacific has grown over 10x in the past year. The launch extends a wider Project Glasswing Partnership Push into a national market.

Implications for Enterprise AI

The Anthropic Seoul office and a research agreement change the calculus for Korean enterprise and government buyers. Staff on the ground can shorten procurement cycles. They also ease the support and compliance questions that slow large deployments.

The safety-research framing also speaks to buyers weighing governance risk. For them, this is a contest over trust as much as model capability. Whether it becomes a durable advantage depends on what the partnerships ship next.

SQ Magazine’s Takeaway

Anthropic is competing in Korea on local presence and safety credibility, not model capability alone. The roster spans search, gaming, IT services, heavy industry and consumer software, a broad base for a single market launch.

What’s next: senior Anthropic leadership is due in Seoul in the coming weeks to formally open the office. Watch whether the NAIRL research access produces published safety work, and whether more Korean enterprises follow NAVER and Samsung SDS into organisation-wide Claude rollouts. Korea already ranks among the top dozen countries for Claude.ai use, and that base is what the new office is built to grow.

Definition of Frontier Model. Link to full glossary entry follows the description.Frontier Model

A frontier model is a highly capable general-purpose AI model that matches or exceeds today's most advanced systems, and triggers safety obligations.

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This article has been reviewed and fact-checked by Robert A. Lee. SQ Magazine follows strict Publishing Principles and a documented Fact-Check Policy to ensure accuracy, transparency, and editorial independence across all content.

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References

  • Anthropic newsroom: Seoul office and new partnerships across the Korean AI ecosystem (June 17, 2026)
  • Anthropic newsroom: KiYoung Choi as Representative Director of Korea
  • Anthropic newsroom: Seoul becomes third Anthropic office in Asia-Pacific
Barry Elad

Barry Elad

Founder & Senior Journalist


Barry Elad is a seasoned journalist and analyst specializing in finance, technology, AI, and founder of SQ Magazine. He explores the world of artificial intelligence, uncovering trends, data, and real-world impacts for readers. When he’s off the page, you’ll find him cooking healthy meals, practicing yoga, or exploring nature with his family.

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Table of Contents

  • Key Points
  • What Happened?
  • The Korean Enterprises Already Running Claude
  • The Research and Safety Partnership
  • Why Korea, and Why Now?
  • Implications for Enterprise AI
  • SQ Magazine’s Takeaway

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