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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 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 unveiled its strategy to convert all global manufacturing operations into AI-Driven Factories by 2030. The initiative will deploy Agentic AI—first introduced on Galaxy S26—across production lines, integrating digital twin-based simulations and humanoid manufacturing robots. The company aims to establish autonomous production environments with AI agents handling quality control, logistics, and workplace safety.
Samsung Electronics has announced a comprehensive strategy to transition all its global manufacturing operations into AI-Driven Factories by 2030, marking a significant shift in how the tech 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
.At the heart of this transformation lies Agentic AI, the advanced technology first introduced on the Galaxy S26 series, which is capable of autonomously planning, executing and optimizing decisions to achieve defined objectives
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.
Source: Korea Times
Building on AI expertise accumulated in its mobile business, Samsung is extending these capabilities into manufacturing to create a robust foundation for on-site autonomy
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.The company will implement digital twin-based simulations throughout its manufacturing processes, enabling virtual testing and optimization before physical implementation
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. Samsung plans to deploy specialized AI agents dedicated to quality control, production and logistics, strengthening data-driven analysis and pre-validation systems across its facilities2
.Through purpose-built AI agents, Samsung will optimize production workflows, predictive maintenance, repair operations and logistics coordination, enabling standardized excellence across every global site
1
. This digital twin approach allows the company to simulate entire production scenarios, identify bottlenecks, and test solutions in virtual environments before deploying changes to actual production lines.To accelerate the transition from automation to advanced autonomy, Samsung is progressively introducing humanoid manufacturing robots and task-specialized robotics across its production lines
1
. The company is working to introduce these robots in phases with a goal of building optimized smart factories2
.The robotics deployment includes Operating Robots for line operations and facility management, Logistics Robots for autonomous material handling and transport, and Assembly Robots for precision manufacturing tasks
1
. In infrastructure environments where human access is limited or hazardous, Samsung will deploy digital twin-integrated Environmental Safety Robots designed to systematically monitor conditions, identify potential risks and proactively mitigate on-site hazards1
.Samsung will also expand AI integration into Environmental, Health and Safety operations, with proactive detection and automated hazard prevention systems intended to enhance workplace safety standards across production facilities worldwide
1
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"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
. "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
1
. At the Samsung Mobile Business Summit—celebrating its 10th anniversary this year—the company will introduce its governance strategy for expanding AI autonomy, consisting of embedding safety mechanisms from the initial design stage1
. This governance strategy aims to ensure responsible and trustworthy expansion of industrial AI for customers and partners worldwide, addressing concerns about oversight as agentic AI expands across industries2
.The Samsung Mobile Business Summit is a private, invitation-only event for key B2B customers and partners, where Samsung shares its B2B strategy and latest technology direction while exploring collaboration opportunities across industrial sectors
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