---
title: "Samsung, SK, LG: An AI Agent for Every Employee in 2026"
date: 2026-06-14T09:00:00+02:00
language: en
slug: 2026-06-14-coree-samsung-sk-lg-agent-ia-tous-salaries
url: https://mathieuhaye.fr/blog/en/2026-06-14-coree-samsung-sk-lg-agent-ia-tous-salaries
alternate: https://mathieuhaye.fr/blog/2026-06-14-coree-samsung-sk-lg-agent-ia-tous-salaries
category: Applied AI
description: "In June 2026, Samsung, SK and LG are rolling out AI agents to every employee. What this shift reveals about where enterprise AI value really sits."
---

# Samsung, SK, LG: An AI Agent for Every Employee in 2026

> In June 2026, Samsung, SK and LG are rolling out AI agents to every employee. What this shift reveals about where enterprise AI value really sits.

- **The 30-second version:**

                - Samsung, SK and LG, South Korea's three largest conglomerates, are rolling out AI agents to all of their employees starting in June 2026.

                - Samsung announced its full-scale AI transformation on June 11, 2026, three years after banning ChatGPT following a source-code leak in 2023.

                - The group plans to train around 2,300 executives by August 12, 2026, and all of its employees by year-end.

                - At SK, more than 90% of staff already use AI; LG CNS signed a Claude Enterprise contract on June 9, 2026 covering every affiliate in the group.





## What happened



South Korea's three largest conglomerates, Samsung, SK Group and LG Corporation, are starting to roll out generative AI agents to their entire workforce for daily office work from June 2026. Samsung Electronics formalized the full-scale launch of its AX (AI Transformation) program on June 11, 2026, [as reported by CIO](https://www.cio.com/article/4184660/samsung-which-previously-blocked-chatgpt-is-now-fully-adopting-three-generative-ai-models-and-accelerating-its-ax-initiative.html). The reversal is striking: the group had banned external generative AI services for three years, after an employee pasted internal source code into ChatGPT in 2023.

The numbers show the scale of the effort. Samsung plans to train about 2,300 executives by August 12, 2026, starting with roughly 50 affiliate presidents in an "AX Boot Camp," then all of its employees by year-end. Its consumer division is adopting three external models, ChatGPT, Claude and Gemini Enterprise, on top of its in-house Samsung Gauss. At SK Group, chairman Chey Tae-won set a simple target, one agent per person, and more than 90% of staff reportedly already use AI, [according to The Korea Herald](https://www.koreaherald.com/article/10771250). LG leans first on its proprietary Exaone model, but its IT arm LG CNS signed a Claude Enterprise contract with Anthropic on June 9, 2026, covering every affiliate in the group under a phased rollout, [as reported by the Seoul Economic Daily](https://en.sedaily.com/technology/2026/06/09/lg-cns-adopts-anthropics-claude-plans-phased-group-wide).



## Why is Korea pushing AI through at forced pace?



Korea is deploying AI at scale right now because its leaders have made internal adoption a strategic decision, not an experiment. Lee Jae-yong, Samsung's chairman, ordered an AI transformation of all operations at the start of 2026; Chey Tae-won at SK talks about one agent per person across the group. When the push comes from the top and carries a dated timeline, adoption stops being optional. That is the difference between handing out ChatGPT licenses and rebuilding how work gets done.

Samsung's about-face is the most telling part. Banning external AI for three years after a code leak, then mandating it for everyone in 2026, is not a change of mind; it is a calculation. Roh Tae-moon, president of Samsung Electronics, put it plainly: "The adoption of external generative AI is not simply providing AI as a work tool, but rather a starting point for fundamentally transforming how we work." The risk of doing nothing is now judged greater than the risk of a leak, provided usage is wrapped in a dedicated security framework.



## What Samsung's reversal reveals about where AI value really sits



The real lesson of the Korean sequence fits in one sentence: enterprise AI value does not sit in the model, but in the layer of governance, training and integration around it. Samsung did not reopen the door to ChatGPT because the model changed; it reopened it because it built a security framework able to reconcile broader use with risk control. The model had been available since 2023; what was missing was the trust infrastructure around it.

The point is confirmed by the model choices. None of the three groups bets on a single vendor. Samsung runs ChatGPT, Claude and Gemini alongside its in-house Gauss; SK combines external models with its own AX LLM and SK hynix's GaiA platform; LG relies on Exaone while reselling OpenAI and Gemini since February 2026 and signing Claude in June. The model becomes an interchangeable component. What is not interchangeable is the enterprise data, the access rights, the auditability of decisions, and the training of teams. One rule captures the era: in 2026, the differentiator is no longer which model you use, but how you govern it.



## From copilot to autopilot: what it changes for companies



The Korean roadmaps go well beyond the conversational assistant. Samsung's internal documents describe a move from copilot to autopilot, where agents will eventually negotiate meeting slots or order components based on inventory alerts, under plans that stretch to 2028. The vocabulary says it all: this is no longer a tool that answers, but an agent that acts, wired into internal systems. Gartner expects 40% of enterprise applications to embed task-specific agents by the end of 2026, up from under 5% in 2025.

For a European company, the signal is not that you should adopt AI, everyone knows that already, but that serious adoption runs through a program, not a subscription. The Korean groups put executive bootcamps, dated training schedules, explicit data governance and integration with existing tools, Microsoft 365 chief among them, behind it. The lesson scales to any size of organization: an agent that does not touch real systems, has no clear access rules, and that nobody has been taught to use stays a demo, not a productivity gain.



## What it changes in my freelance work



This sequence matches exactly what I see on my own engagements: an AI model only creates value once it is wired into a real system and framed by clear rules. When I automated competitive monitoring for cheesemaker Fromagerie Ermitage with an n8n workflow, the intelligence did not come from the language model alone; it came from the orchestration, the source filtering and the delivery in the right format at the right time. The same principle structures IA Brew, my newsletter generated by a 93-node n8n pipeline: the model writes, but it is the plumbing around it that makes the output reliable and repeatable.

Governance shows up on the CRM side. On the [platform I built for e-Enfance](https://mathieuhaye.fr/#projets), the question was never which model, but who is allowed to access what, how to trace actions, and how to integrate AI cleanly into the tools already in place. Samsung with its hundreds of thousands of employees, and a nonprofit with a few dozen users, hit the same wall: without a layer of rights, integration and training, the most powerful agent stays a demo. Size changes the scale, not the nature of the problem.



## The takeaway



Korea has just turned AI adoption into a dated, quantified, mandatory enterprise program, while many organizations are still at the stage of handing out licenses case by case. The real question is not which model to choose, but: do you have the governance, integration and training that turn a model into an agent that acts?



## Frequently asked questions



### Which AI models are Samsung, SK and LG deploying?



All three groups mix external and in-house models. Samsung uses ChatGPT, Claude and Gemini Enterprise alongside its own Gauss model. SK pairs external models with its proprietary AX LLM and SK hynix's GaiA platform. LG leans first on its Exaone model while reselling OpenAI and Gemini and signing a Claude Enterprise contract on June 9, 2026 through LG CNS.



### Why did Samsung lift its ChatGPT ban?



Samsung banned external generative AI in 2023 after an employee pasted internal source code into ChatGPT. It lifted the ban in June 2026 once it had built a dedicated security framework that allows broader use while controlling leak risk. The trigger was not a better model but the arrival of internal governance.



### What is the Korean conglomerates' AX strategy?



AX stands for AI Transformation, the program through which Korean groups embed AI across every operation. In practice it combines mandatory executive and employee training, data governance, integration with existing tools such as Microsoft 365, and the rollout of agents that move from reactive assistant to autonomous executor by 2028.

---

Source: [https://mathieuhaye.fr/blog/en/2026-06-14-coree-samsung-sk-lg-agent-ia-tous-salaries](https://mathieuhaye.fr/blog/en/2026-06-14-coree-samsung-sk-lg-agent-ia-tous-salaries) | Other language: [https://mathieuhaye.fr/blog/2026-06-14-coree-samsung-sk-lg-agent-ia-tous-salaries](https://mathieuhaye.fr/blog/2026-06-14-coree-samsung-sk-lg-agent-ia-tous-salaries)
