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Samsung Lifts AI Ban, Gives Staff Three Top Models

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TL;DR: After a data leak led to a ban, Samsung is now giving employees access to ChatGPT, Gemini, and Claude. The move signals a major strategic shift, embracing a multi-model approach to accelerate its AI transformation.

By Neeraj Dhiman·Jun 12, 2026·1 min read·updated 2h ago
Source

Key facts

Category
AI
Impact
High
Published
Jun 12, 2026
Source
CIO.com

Full summary

After a major data leak, Samsung is reversing its generative AI ban and giving staff access to ChatGPT, Gemini, and Claude.

Samsung Electronics is making a significant shift in its approach to artificial intelligence, officially giving employees access to three major generative AI models. Staff within the company's Device Experience (DX) division can now use OpenAI's ChatGPT, Google's Gemini, and Anthropic's Claude in their daily work. This move represents a complete reversal of its earlier, more cautious policy. In 2023, Samsung famously banned the use of external generative AI tools after an incident where an employee accidentally leaked sensitive internal source code by pasting it into a ChatGPT prompt. The company's new direction is part of a broader push to accelerate its company-wide "AI Transformation" (AX). According to Samsung, the selection of these three leading models was informed by a survey of approximately 2,500 employees to determine the most useful and desired tools.

The decision to support three competing services simultaneously highlights a sophisticated multi-model strategy. Samsung explained that this is not a one-time adoption but a strategic choice to build an environment where employees can select the optimal AI tool for any given task. This approach acknowledges that different models excel at different functions, from coding and data analysis to content creation and summarization. For CTOs, IT leaders, and security teams at other large corporations, Samsung's pivot offers a valuable blueprint. It demonstrates how a global technology leader is moving past initial security concerns and data leak incidents to implement a robust, large-scale AI adoption plan. The move signals a growing confidence in managing the risks of generative AI while aggressively pursuing its productivity benefits, setting a precedent for other enterprises that have remained hesitant.

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Primary source: CIO.com

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