Samsung Electronics has launched a large-scale external AI rollout for work, adopting a three-tool approach (ChatGPT, Google Gemini Enterprise, and Anthropic Claude) alongside its in-house Gauss model in a two-track system to let employees choose per task.

The rollout extends across Samsung’s affiliates after a 2023 ban, with extensive AI training for executives and staff expected to finish for all employees by year’s end.

A three-day global strategy meeting begins mid-June, with the Device Experience division focusing on applying the external tools and leadership signaling that external AI can accelerate work speed and transform processes.

SK hynix is exploring Microsoft 365 with Copilot and ChatGPT Enterprise, while prioritizing security and architectural considerations due to sensitive internal tech.

A core driver is the creation of a channel layer where Samsung SDS, LG CNS, and SK AX act as OpenAI resellers/implementers, forming an enterprise deployment network.

A Q&A note outlines that SK hynix is still in review with no deployment yet, Samsung is rolling out multiple tools, OpenAI’s network of Korean partners is fueling momentum, and the choice-per-task approach remains uncertain.

OpenAI is expanding in Korea’s enterprise AI market, with SK hynix evaluating ChatGPT Enterprise as part of a broader shift among Korea’s top firms.

Analysts caution that outcomes depend on security, context, cost, and real on-the-job performance rather than hype or momentum alone.

Industry expert notes rapid AX adoption by conglomerates as a survival strategy, reflecting a shift from building in-house models to quickly integrating proven external AI solutions.

SK Group’s chairman envisions an “one agent per person” era, with vast AI agents interfacing across SK companies and leveraging internal tools.

LG affiliates are using both OpenAI and Anthropic options while keeping LG’s ExaOne as a core internal model, signaling a balanced external-internal tool strategy.

SK Hynix plans to adopt Microsoft 365 Copilot and ChatGPT Enterprise, with leadership stressing rapid learning and value creation while exploring non-core areas for external AI.