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Samsung Electronics deploys ChatGPT Enterprise and Codex globally

Samsung Electronics is rolling out ChatGPT Enterprise and Codex to employees worldwide, reversing its 2023 ban on generative AI after a data leak incident. The South Korean tech giant becomes one of OpenAI's largest enterprise customers, deploying a multi-vendor AI stack including Google's Gemini and Anthropic's Claude. Training for the global workforce is expected to be completed by the end of 2026.

read1 min views1 publishedJun 21, 2026
Samsung Electronics deploys ChatGPT Enterprise and Codex globally
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The South Korean tech giant reversed its 2023 generative AI ban to become one of OpenAI's largest enterprise customers

Samsung Electronics is rolling out ChatGPT Enterprise and Codex to employees worldwide, marking one of OpenAI’s largest enterprise AI deployments to date. The announcement, made on June 11-12, 2026, represents a dramatic about-face for a company that banned generative AI tools entirely just three years ago.

Samsung is deploying ChatGPT Enterprise alongside Google’s Gemini and Anthropic’s Claude, building a multi-vendor AI stack across its global workforce.

From ban to billion-dollar bet #

In March 2023, Samsung engineers accidentally leaked sensitive source code and internal meeting notes through ChatGPT. Samsung’s response was swift and blunt: a company-wide ban on generative AI tools.

The reversal started taking shape in late 2025. Samsung SDS, the company’s IT services arm, established a reseller partnership with OpenAI to manage ChatGPT Enterprise deployments. That deal didn’t just cover Samsung’s own employees. It made Samsung SDS the first Korean entity authorized to manage ChatGPT Enterprise deployments for other businesses.

What the deployment actually looks like #

The rollout includes Codex, OpenAI’s coding agent, integrated directly into the enterprise package. Codex is designed to help developers write, review, and debug code. This time, Samsung is emphasizing enhanced security controls baked into the enterprise deployment.

Training for the full global workforce is expected to be completed by the end of 2026.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our

Editorial Policy.

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