Samsung Electronics is preparing to open external generative AI access for employees in its Device eXperience division, according to current Korean business reporting.
Yonhap reports that Samsung will allow DX employees to use outside AI models starting in June 2026 after previously limiting employees to Samsung’s internal Samsung Gauss model because of security concerns. Seoul Economic Daily and MK reported that the external options include ChatGPT, Google Gemini, and Anthropic Claude, with security training and access controls.
The buyer signal is simple: big enterprises are moving from “build or block” to governed multi-model access.
What changed
The reported rollout targets Samsung’s DX division, which covers display, mobile, and home-appliance businesses.
Current reporting says Samsung:
- plans to launch external generative AI access for DX employees in June;
- tested ChatGPT, Gemini, and Claude in an April-May proof of concept with about 2,500 employees;
- will require security training for employees who want access;
- will keep use more limited in the semiconductor Device Solutions division;
- will continue using Samsung Gauss alongside outside models.
Samsung has not disclosed every operational detail, including exactly which model versions, tenant controls, retention settings, or deployment wrappers will be used.
Why buyers should care
Samsung’s shift mirrors what many large companies are discovering: one internal model is rarely enough.
Employees want the best tool for the job. A product planner may prefer ChatGPT for broad ideation, Gemini for Google-adjacent workflows, Claude for long writing and careful analysis, and an internal assistant for company data. The realistic enterprise pattern is not one chatbot. It is policy-controlled access to multiple AI tools, with data boundaries and training.
That makes AI governance more important, not less. Once a company authorizes several external models, it needs clear rules for:
- which data classes can be used;
- whether prompts and outputs are retained;
- whether tools can access files or browsers;
- which teams get access;
- how usage is logged;
- how model mistakes are reviewed;
- whether vendor terms match company policy.
Buyer checklist
If your company is following Samsung’s path, start with the control plane:
- publish a plain-language data policy before rollout;
- require role-based access for sensitive functions;
- separate public-workflow use from confidential product, legal, finance, HR, and customer-data use;
- train employees on screenshots, uploads, code, and customer data;
- route high-risk teams through approved enterprise tenants, not personal accounts;
- measure productivity gains against incident reports and rework.
AiPedia take
This is what mainstream enterprise AI adoption looks like in 2026.
It is not a single magical assistant. It is a portfolio of models, each useful in different workflows, wrapped in training, policy, and vendor controls. Samsung’s reported DX rollout is a stronger signal because it follows a pilot and keeps tighter limits in more sensitive semiconductor work.
For buyers, the lesson is not “open every AI tool.” It is “stop pretending one assistant can cover every job, then govern the few tools employees actually need.”
Sources
Primary and corroborating references used for this news item.