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Samsung Electronics Announces Strategy To Transition Global Manufacturing Into 'AI-Driven Factories' by 2030
Company is set to expand Agentic AI across manufacturing and will unveil its industrial AI vision at MWC 2026 Samsung Electronics 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 specialized 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 optimizing 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 optimize production workflows, predictive maintenance, repair operations and logistics coordination -- enabling standardized, world-class excellence across every global site. To accelerate the transition from automation to advanced autonomy, Samsung is progressively introducing humanoid and task-specialized 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. "The next phase of manufacturing innovation lies in building autonomous environments where AI truly understands operational contexts in real time and independently executes optimal decisions," said YoungSoo Lee, Executive Vice President and Head of Global Technology Research at Samsung Electronics. "We are committed to leading the transformation toward AI-powered global manufacturing innovation." Samsung will showcase its industrial AI strategy and digital twin-based manufacturing innovation vision at MWC 2026 in Barcelona, demonstrating how industrial AI enhances both safety and efficiency in real-world environments. Additionally, at the Samsung Mobile Business Summit (SMBS) -- which is celebrating its 10th anniversary this year -- the company will introduce its 'governance strategy for expanding AI autonomy.' This strategy consists of embedding safety mechanisms from the initial design stage, ensuring the responsible and trustworthy expansion of industrial AI for its customers and partners worldwide. SMBS is a private, invitation-only event for key B2B customers and partners, where Samsung shares its B2B strategy and latest technology direction, while also exploring collaboration opportunities across industrial sectors.
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Samsung to switch all global factories to autonomous AI by 2030
Samsung will convert its entire global manufacturing network into autonomous, AI-powered facilities by 2030. The company announced the strategy on February 28, extending its consumer AI capabilities to the factory floor. The initiative utilizes "agentic AI" for autonomous decision-making across the full manufacturing value chain. Samsung will deploy specialized agents for quality control, production optimization, and logistics coordination. Digital twin simulations will model factory operations before physical changes are made. The strategy represents a major industrial AI commitment. It aims to build environments where AI independently executes optimal decisions. Samsung plans to phase in humanoid and task-specialized robots across production lines. These include robots for line management, material transport, and precision assembly. The company will also deploy robots to monitor hazardous environments. "This next phase of manufacturing innovation lies in building autonomous environments where AI truly understands operational contexts in real time and independently executes optimal decisions," said YoungSoo Lee, Executive Vice President and Head of Global Technology Research at Samsung Electronics. The factory transformation builds on an existing collaboration with Nvidia. Samsung announced that partnership in October 2025. The company plans to deploy more than 50,000 Nvidia GPUs. It will leverage the Nvidia Omniverse platform for digital twin infrastructure. Samsung is also using Nvidia's Jetson Thor platform to advance real-time AI reasoning in its robotics systems. Samsung will showcase this industrial AI strategy at Mobile World Congress 2026. The event runs March 2-5 in Barcelona. The company will demonstrate how AI agents and digital twin simulations work together in manufacturing. At the Mobile Business Summit, Samsung will present a governance framework for responsible AI expansion. Samsung Electronics manufactures consumer electronics, semiconductors, and mobile devices. The company operates a global network of production facilities. MWC 2026 takes place at Fira Gran Via in Barcelona. The Mobile Business Summit is celebrating its 10th anniversary.
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Samsung Electronics to shift to AI-driven autonomous factories by 2030 - The Korea Times
A Samsung Electronics advertisement is seen on the building of the Mobile World Congress 2026's exhibition hall, Sunday. Coutesy of Samsung Electronics Samsung Electronics said Sunday it plans to transform its domestic and overseas production facilities into factories driven by artificial intelligence (AI) by 2030 as part of its push for manufacturing innovation. The company will introduce digital twin-based simulations across the entire manufacturing process from materials warehousing to production and shipment while deploying AI agents dedicated to quality control, production and logistics to strengthen data-driven analysis and verification systems. The move is expected to enhance quality and productivity, while broader AI applications in environmental health and safety management will also help improve workplace safety, according to Samsung. Building on AI expertise accumulated in its mobile business, the company said it will apply "agentic AI," introduced with the Galaxy S26, to manufacturing innovation. Agentic AI refers to systems capable of independently setting and executing plans to achieve specific goals. Samsung is also working to introduce humanoid manufacturing robots across production lines in phases with a goal of building optimized smart factories. "The future of manufacturing innovation lies not only in automation but in autonomous production sites, where AI understands on-site conditions and independently makes optimal decisions," senior company official Lee Young-soo said. "We will become a global leader in manufacturing innovation powered by AI." Samsung plans to unveil its industrial AI strategy and digital twin-based manufacturing innovation vision at the Mobile World Congress (MWC) 2026 in Barcelona this month. During the Samsung Mobile Business Summit (SMBS), to be held on the sidelines of the event, the company will also present its governance strategy aimed at strengthening oversight as agentic AI expands across industries, officials said.
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Samsung Electronics announced plans to transform its entire global manufacturing network into AI-driven factories by 2030. The company will deploy agentic AI across the manufacturing value chain, from inbound logistics to final shipment. Digital twin simulations and specialized AI agents will optimize quality control, production workflows, and logistics while humanoid robots handle precision tasks.
Samsung Electronics unveiled its strategy to transition all global manufacturing facilities into AI-driven factories by 2030, marking a significant shift in how the electronics giant approaches production
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. The 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 what the company describes as a next-generation autonomous production environment1
. This announcement positions Samsung Electronics at the forefront of industrial transformation, leveraging AI technologies initially developed for consumer products.At the core of this transformation lies agentic AI, a technology first introduced on the Galaxy S26 series that can autonomously plan, execute, and optimize decisions to achieve defined objectives
1
. Samsung will deploy specialized AI agents for quality control, production optimization, and logistics coordination across its production network2
. These AI agents will work alongside digital twin simulations that model factory operations before physical changes are implemented, enabling the company to strengthen data-driven analysis and pre-validation throughout its operations1
. The approach represents a shift from traditional automation to true autonomy, where systems independently make optimal decisions based on real-time operational contexts.
Source: Korea Times
Samsung is progressively introducing humanoid robots and task-specialized robotics across its production lines to accelerate the transition from automation to advanced autonomy
1
. The deployment includes Operating Robots for line operations and facility management, Logistics Robots for autonomous material handling and transport, and Assembly Robots for precision manufacturing tasks1
. In infrastructure environments where human access is limited or hazardous, the company will deploy digital twin-integrated Environmental Safety Robots designed to systematically monitor conditions, identify potential risks, and proactively mitigate on-site hazards1
.The factory transformation builds on an existing collaboration with Nvidia, announced in October 2025
2
. Samsung plans to deploy more than 50,000 Nvidia GPUs and leverage the Nvidia Omniverse platform for digital twin infrastructure2
. The company is also using Nvidia's Jetson Thor platform to advance real-time AI reasoning in its robotics systems2
. This partnership provides the computational backbone necessary to run complex simulations and AI models across Samsung's global manufacturing network.Related Stories
Samsung will expand AI integration into Environmental, Health and Safety operations, implementing proactive detection and automated hazard prevention systems
1
. Through these systems, the company intends to further enhance workplace safety standards across its production facilities worldwide1
. The move addresses growing concerns about worker safety while demonstrating how AI can create safer manufacturing environments through continuous monitoring and predictive risk assessment."The next phase of manufacturing innovation lies in building autonomous environments where AI truly understands operational contexts in real time and independently executes optimal decisions," said YoungSoo Lee, Executive Vice President and Head of Global Technology Research at Samsung Electronics
1
. Samsung will showcase its industrial AI strategy and digital twin-based manufacturing innovation vision at Mobile World Congress 2026 in Barcelona, running March 2-5, demonstrating how industrial AI enhances both safety and efficiency in real-world environments2
. At the Samsung Mobile Business Summit, celebrating its 10th anniversary, the company will introduce its governance strategy for expanding AI autonomy, embedding safety mechanisms from the initial design stage to ensure responsible and trustworthy expansion of industrial AI1
. This B2B strategy presentation will explore collaboration opportunities across industrial sectors with key customers and partners1
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