Samsung Electronics Co., Ltd. today announced its strategy to transition all manufacturing operations into “AI-Driven Factories” by 2030.

This initiative aims to fully integrate AI across the entire manufacturing value chain — from inbound material logistics and production to quality inspection and final shipment — establishing a next-generation autonomous production environment.

As part of the transition, Samsung will implement digital twin-based simulations throughout its manufacturing processes and deploy specialised AI agents dedicated to quality control, production, and logistics.

By strengthening data-driven analysis and pre-validation through these agents, the company seeks to elevate quality standards, operational efficiency, and productivity across its global manufacturing network.

Samsung will also expand AI integration into Environmental, Health, and Safety operations. Through proactive detection and automated hazard prevention systems, the company intends to further enhance workplace safety standards across its production facilities worldwide.

At the center of this transformation is “Agentic AI” —first introduced on the Galaxy S26 series — which is capable of autonomously planning, executing, and optimising decisions to achieve defined objectives.

Building on its advanced AI capabilities developed in the mobile sector, Samsung is extending its expertise into manufacturing to create a robust foundation for on-site autonomy.

Through purpose-built AI agents, Samsung will optimise production workflows, predictive maintenance, repair operations, and logistics coordination — enabling standardised, world-class excellence across every global site.

To accelerate the transition from automation to advanced autonomy, Samsung is progressively introducing humanoid and task-specialised robotics across its production lines, including Operating Robots for line operations and facility management, Logistics Robots for autonomous material handling and transport, and Assembly Robots for precision manufacturing tasks.

In infrastructure environments where human access is limited or hazardous, the company will further deploy digital twin-integrated Environmental Safety Robots designed to systematically monitor conditions, identify potential risks, and proactively mitigate on-site hazards.

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