Samsung’s OpenAI rollout signals enterprise AI is moving to full deployment
Samsung is rolling out ChatGPT and Codex to employees across software, marketing, product and manufacturing, a sign enterprise AI is moving into production.
Samsung Electronics is rolling out ChatGPT and Codex to employees, and OpenAI says the deal is one of its largest enterprise deployments to date. Samsung plans to use the tools across software development, marketing, product development and manufacturing, a scope that shows AI is being treated as a companywide workflow layer, not a niche coding assistant.
That breadth matters because Codex is positioned to accelerate real engineering work, from planning and building features to refactors, reviews and releases. OpenAI has also been framing its enterprise push around company-wide AI agents and broader deployment, while its June 18 update to ChatGPT Enterprise added enhanced usage analytics and updated spend controls. The product story is shifting from “try this” to “manage this.”
The control problem is now part of the buying decision. McKinsey says governance for increasingly autonomous, agentic AI has become a central enterprise concern, and IBM’s June 2026 study found that two-thirds of surveyed CIOs and CTOs are accountable for AI systems they do not fully control. For large employers, that means the pressure is on to define permissions, logging and rollout plans before AI becomes embedded in day-to-day work.
For monday.com, Samsung is the kind of proof point that can change how enterprise buyers think about AI. On May 6, monday.com said it was going all-in on AI and rebuilding its platform around people and agents working together. In the first quarter of 2026, the company reported $351.3 million in revenue, up 24% year over year, and said it posted record net adds of customers with more than $500,000 in annual recurring revenue.
The company also introduced monday agents, monday magic, monday vibe, monday sidekick and monday campaigns in July 2025, a product set aimed at making AI usable across teams rather than only inside engineering. Samsung’s move reinforces the same market signal: buyers are looking for platforms that combine structured work, execution and governance in one place, with AI running across functions instead of sitting on the side.
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