Samsung plans AI-driven factories worldwide by 2030

The tech giant plans to embed agentic AI and advanced robotics, including humanoid systems, across global production facilities by the end of the decade, aiming to create self-optimising manufacturing environments that reduce costs and boost efficiency.

Samsung Electronics has unveiled an ambitious roadmap to transform all its global manufacturing facilities into fully “AI-driven factories” by 2030. The initiative moves beyond traditional automation toward intelligent systems capable of autonomous decision-making. Central to this strategy is the deployment of agentic AI—advanced artificial intelligence designed not just to analyze data but to independently plan and execute tasks aligned with specific operational goals.

The company previously introduced the concept of agentic AI in its consumer devices, including the Galaxy S26 series, and now intends to replicate similar adaptive intelligence across production lines. By embedding AI into core factory processes, Samsung aims to enhance productivity, minimize downtime, and lower long-term operating costs.

Robotics at the core of the strategy

A significant component of the plan involves expanding the use of industrial robots across facilities worldwide. Samsung outlined three primary categories: operating robots to manage production lines and equipment, logistics robots to handle material transport, and assembly robots designed for precision manufacturing tasks.

Humanoid robots are expected to play a crucial role in handling complex or flexible operations that benefit from human-like movement and dexterity. Samsung has strengthened its robotics capabilities in recent years, notably by increasing its stake in Rainbow Robotics. One example likely to appear on factory floors is the RB-Y1, a wheeled humanoid robot equipped with dual arms for advanced manipulation tasks.

Industry-wide shift toward intelligent manufacturing

Samsung’s move reflects a broader trend within global manufacturing, where companies are exploring AI-powered automation to address rising labor costs and increasingly complex supply chains. However, scaling such advanced systems reliably across multiple international facilities presents significant technological and economic challenges.

While the company has outlined a clear vision for 2030, the practical transformation of conventional factories into autonomous, AI-led environments will depend on successful real-world integration. The roadmap signals bold intent, but delivering consistent performance across global operations will ultimately determine its success.