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Samsung brings ChatGPT to the enterprise

Samsung Electronics is rolling out OpenAI’s ChatGPT Enterprise and Codex to its workforce globally. This move marks one of the largest corporate deployments of generative AI to date, signaling a shift in how massive organizations are integrating large language models into daily operations. We take a look at what this kind of scale means for internal productivity and how these tools function within a private, corporate environment.

Edition № 069Room: At Work21 June 20261 min readSources: 1
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Most businesses are still debating whether or not to allow employees to use AI at their desks. Samsung has bypassed the hesitation, moving its entire global workforce onto a dedicated enterprise version of ChatGPT.

Samsung Electronics is deploying ChatGPT Enterprise and Codex, a model specifically built to assist with programming tasks, to its employees across the world. Unlike the public website versions consumers use, this enterprise deployment puts data management and security controls in the hands of the company's internal IT teams.

Shifting the scale of internal AI utility

Think of this deployment like moving from a shared office printer to having a professional printing press installed in every department. While the basic version of an AI chatbot feels like a general-purpose assistant, the enterprise tools are configured to handle massive volumes of professional data without the model technically 'learning' from it to improve public systems. The inclusion of Codex means developers now have a specialized engine to help suggest code blocks and debug scripts within the company's own secure digital perimeter.

For a company like Samsung, this is about standardizing the tools available to thousands of engineers and office staff at once. When large companies adopt these systems, the goal is rarely just to write emails; it is to decrease the time spent on repetitive technical chores so staff can focus on the actual building of hardware and software. The real test won't be the technology itself, but whether the workflows inside the company are flexible enough to benefit from having a high-speed intelligence ready to answer questions at the prompt of a keyboard.

Sources
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