News

Enterprise

Artificial Intelligence

Europe

Siemens Unveils Industrial AI Operating System and Digital Twin Composer at CES 2026

Siemens launches an AI-powered operating system and the Digital Twin Composer to redefine global manufacturing and supply chain efficiency.

Siemens launches an AI-powered operating system and the Digital Twin Composer to redefine global manufacturing and supply chain efficiency.

Siemens launches an AI-powered operating system and the Digital Twin Composer to redefine global manufacturing and supply chain efficiency.

NewDecoded

Published Jan 10, 2026

Jan 10, 2026

4 min read


Siemens and NVIDIA have announced a major expansion of their partnership at CES 2026 to develop the Industrial AI Operating System. This initiative aims to reinvent the entire industrial value chain from design to supply chain operations. The collaboration focuses on building AI-driven, adaptive manufacturing sites, with the Siemens Electronics Factory in Erlangen serving as the primary blueprint for this new technology.

Roland Busch, President and CEO of Siemens AG, declared that industrial AI is no longer just a feature but a force reshaping the next century. He noted that just as electricity once revolutionized the world, AI will now power products, factories, and transportation. Siemens intends to deliver AI-native capabilities that help customers anticipate issues and accelerate innovation while reducing operational costs significantly.

A major highlight of the event was the launch of the Digital Twin Composer software, which will be available on the Siemens Xcelerator Marketplace in mid-2026. This technology combines digital twins with NVIDIA Omniverse libraries to create immersive industrial metaverse environments at scale. It allows users to visualize the effects of variables like weather or engineering changes by moving back and forth through time in a virtual space. PepsiCo is already utilizing this technology to simulate upgrades to its facilities in the United States with plans for a global rollout. By recreating every machine and operator path with physics-level accuracy, the company identified 90 percent of potential issues before any physical changes occurred. This approach resulted in a 20 percent increase in throughput and a significant reduction in capital expenditure.

Siemens also introduced nine new AI-powered copilots designed to bring intelligence to its existing software offerings, including Teamcenter and Opcenter. These tools streamline product data navigation and automate compliance to help businesses achieve faster regulatory approvals. The company is democratizing AI by making these solutions available to organizations of all sizes through its digital marketplace.

The technological reach extends to frontline workers through a collaboration with Meta to bring industrial AI to Ray-Ban glasses. This integration provides shop floor workers with hands-free, real-time audio guidance and safety insights. Siemens also highlighted advancements in life sciences, where its AI solutions are expected to help life-changing therapies reach patients 50 percent faster than current methods. In the energy sector, Siemens is supporting Commonwealth Fusion Systems as they work toward commercializing clean fusion power. The partnership uses a strong data backbone to accelerate the design and manufacturing of fusion machines. These diverse applications demonstrate how Siemens is applying deep domain expertise to make AI accessible and impactful across multiple critical industries worldwide.


Decoded Take

Decoded Take

Decoded Take

This announcement marks a strategic pivot for Siemens from being a provider of industrial tools to becoming the foundational architect of the industrial metaverse. By integrating NVIDIA compute power and AI models directly into its Xcelerator platform, Siemens is effectively building a "brain" for the physical world. Unlike the general-purpose hype surrounding consumer-facing generative AI, this move focuses on high-stakes reliability and physics-based accuracy. For the industry, this signals that the competitive edge is no longer just about automation but about the ability to simulate and optimize complex systems in a virtual environment before they ever exist in reality. Siemens is positioning itself as the indispensable gatekeeper between digital intelligence and physical production, suggesting it will remain a dominant leader in the industrial AI sector.

Share this article

Related Articles

Related Articles

Related Articles