Samsung aims for fully autonomous AI factories by 2030, integrating digital twins and robots

Samsung Electronics has outlined a plan to convert its manufacturing sites at home and abroad into “AI autonomous factories” by 2030, signalling a push to move beyond conventional automation to facilities that plan, validate and act with minimal human direction. According to a report by eDaily, the initiative will embed artificial intelligence across the full production chain , from inbound material handling through to assembly and shipping , with the objective of raising overall equipment effectiveness and harmonising output quality across global locations. Yonhap and other Korean outlets have reported similar details.

Central to Samsung’s proposal is the use of digital twins to simulate manufacturing flows and test production strategies before they are deployed on physical lines. The company says it will pair those simulations with specialised AI agents for quality, production and logistics functions to deepen analytical capability and accelerate decision-making. That architecture is intended to enable data‑driven verification of plans and continuous operational optimisation across sites.

Samsung is also extending AI to environmental and safety management. eDaily reports the company plans digital‑twin based “environmental safety bots” to monitor hazardous conditions , such as extreme heat or high noise levels , and to reduce exposure in areas that are difficult for personnel to access. The company frames the technology as a way of detecting risk earlier and preventing incidents through automated intervention.

The automation roadmap includes staged deployment of humanoid‑style robots that combine mechanical capability with AI control. Samsung has described future roles such as operating bots for equipment oversight, logistics bots for material movement and assembly bots to support production tasks. The firm says those robots will be integrated into AI agent frameworks to create more adaptive shopfloor operations.

Samsung intends to draw on AI expertise developed in its mobile business, applying concepts showcased in the Galaxy S26 era , notably the “Aethetic AI” approach , to manufacturing contexts so systems can autonomously set plans and pursue targets. The company will present its industrial AI strategy and digital twin vision publicly at MWC26 in Barcelona, and will use the Samsung Mobile Business Summit during the event to set out governance measures tied to expanding autonomy.

Lee Young‑soo, head of Samsung’s Production Technology Lab, emphasised the behavioural shift the company expects from the technology, saying, “제조혁신의 미래는 단순한 자동화를 넘어, AI가 현장을 이해하고 스스로 최적의 결정을 실행하는 자율 제조현장 구축이 핵심” .

For industrial decarbonisation professionals, Samsung’s blueprint is notable because AI‑driven process optimisation and predictive control can materially affect energy consumption, yield losses and waste streams , all key levers for cutting scope 1–3 emissions at scale. According to industry analysts, digital twins and closed‑loop AI control can lower energy intensity by enabling finer scheduling, reducing idle time and improving equipment uptime, although the magnitude of those gains depends on plant type, baseline efficiency and the depth of AI integration.

Samsung also signals awareness of the governance challenge that accompanies greater autonomous capability. The company says it will design safety and control mechanisms into systems from the outset so partners and customers can trust industrial AI deployments. That approach mirrors policy trends in several jurisdictions that are moving towards tighter requirements for explainability, human‑in‑the‑loop controls and safety certification for critical industrial systems.

Implementation will be complex. Standardising processes across diverse product lines and regulatory environments, integrating legacy equipment with new AI platforms and ensuring cybersecurity for networked control systems are all substantial tasks. Moreover, workforce transition and reskilling will be necessary as decision authority shifts from manual operators to algorithmic systems.

Samsung’s ambition to elevate its manufacturing footprint with AI autonomy reflects a broader industrial movement toward intelligent, model‑based operations. If successfully executed, the programme could deliver productivity and quality improvements while offering tangible contributions to factory decarbonisation; if not carefully governed and technically validated, it risks operational disruption and stakeholder concern. Samsung plans to articulate further technical and governance details at MWC26, where manufacturers and suppliers will be watching closely.