Siemens' Autonomous Factory Cuts Costs by Up to 20%

Siemens achieved cost savings of up to 20% by shifting to a structure where AI agents first propose production plans on the factory floor, with humans only deciding whether to approve them.

What Has Changed

In October 2026, Germany's Siemens unveiled AI-based autonomous factory technology developed in partnership with NVIDIA at its electronics plant in Erlangen, Germany. The facility uses more than 100 AI algorithms across production, logistics, quality inspection, and maintenance processes. When a new order comes in, AI agents generate various production scenarios by considering material supply, production capacity, delivery schedules, and product changeover costs, then validate the feasibility of each scenario by running simulations of the entire process through a digital twin.

Previously, the staff member responsible for creating production plans would compare various conditions based on their know-how to determine the optimal approach. In the autonomous factory, this has changed to a structure where AI first presents alternatives based on experiments conducted in a virtual factory via digital twin, and the responsible staff member reviews the expected effects and risks to decide whether to proceed. Siemens stated that this approach reduced costs by up to 20%. The company explained that digital twins are also used in quality inspection and product development, cutting the engineering work required to prepare inspection programs by up to 85% and shortening product launch times by up to 40%.

In May 2026, NVIDIA unveiled the Factory Operations Blueprint (FOX), a design blueprint for building a 'factory operations agent' that coordinates specialized AI agents across production, quality, logistics, and safety. Taiwan's Foxconn, which is using this blueprint to develop its autonomous factory system, announced on October 26, 2026 that it had reduced labor hours required for production scheduling by 25% and cut the engineering work needed for each injection molding process change by 50%.

Implications for AX at Korean Companies

Samsung Electronics has announced plans to convert all of its domestic and overseas production plants into 'AI autonomous factories' by 2030. The strategy involves introducing digital twins across the entire process from material receiving to production and shipment, and strengthening data-driven analysis and pre-validation through AI agents responsible for quality, production, and logistics. Hyundai Motor Group is also applying manufacturing-specialized AI agents, logistics robots, simulation-based robot path generation, and AI vision inspection on its factory floors.

The notable aspect of Siemens' case is that AI does not replace human decision-making; rather, it presents pre-validated alternatives through digital twins while humans retain the final say on execution. Companies considering this structure should first identify which stages of their own processes still rely solely on staff experience and intuition for decision-making, and then check whether sufficient data exists to simulate those stages using a digital twin.

Source: Setting Production Plans and Determining Work Methods... Our Factory Manager Is Now 'AI'