During the keynote speech at CES 2026, Siemens marked a technological turning point for industry and infrastructure. It showed how customers and partners are using AI to transform their business models. Siemens is combining AI-powered technologies with industry expertise and strategic partnerships to achieve measurable benefits for companies and society.

"Industrial AI is no longer a feature, but a force that will shape the next century. Siemens is delivering AI-native capabilities and end-to-end intelligence across design, engineering and operations to help our customers anticipate problems, accelerate innovation and reduce costs," said Roland Busch, CEO of Siemens AG. He drew a historical comparison: "Just as electrification once changed the world, industry is now moving towards systems in which AI powers products, factories, buildings, networks and transportation." From digital twins to AI-powered hardware to co-pilots in manufacturing, Siemens is scaling intelligence in the physical world to achieve speed, quality and efficiency at the same time.

Expansion of the partnership with NVIDIA

A central component of the announcements was the deepening of the long-standing partnership between Siemens and NVIDIA. The two companies want to jointly develop an "Industrial AI Operating System" that will reshape the entire industrial value creation process - from design and engineering to manufacturing, operations and supply chains.

The aim is to provide AI-accelerated industrial solutions across the entire life cycle of products and production systems. This should enable faster innovation, continuous optimization and more resilient and sustainable manufacturing processes. Siemens and NVIDIA are also planning to establish fully AI-driven, adaptive production sites worldwide. The Siemens Electronics Factory in Erlangen is to serve as the first reference project from 2026.

NVIDIA is providing AI infrastructure, simulation libraries, models, frameworks and blueprints, while Siemens is contributing several hundred experts in industrial AI as well as its own hardware and software. AI-native EDA, AI-native simulation, AI-supported adaptive manufacturing and supply chains as well as AI factories have been defined as focal points.

Siemens also announced that it will integrate NVIDIA NIM and the open NVIDIA Nemotron models into its EDA software. This is intended to drive generative and agent-based workflows for semiconductor and PCB design. The aim is to achieve greater accuracy through domain specialization and lower operating costs through the targeted use of optimal models.

Jensen Huang, founder and CEO of NVIDIA, said: "Generative AI and accelerated computing have sparked a new industrial revolution, transforming digital twins from passive simulations into active intelligence of the physical world. Our partnership with Siemens combines leading industrial software with NVIDIA's AI platform to bridge the gap between idea and reality."

Digital Twin Composer for industrial metaverse use

Siemens' most important product launch was the Digital Twin Composer, which will be available from mid-2026 via the Siemens Xcelerator Marketplace. The software combines Siemens' comprehensive digital twin with simulations based on NVIDIA Omniverse libraries and real-time data from the real world.

Companies can use it to create virtual 3D models of products, processes or entire plants, embed them in freely selectable 3D scenes and jump back and forth in time to precisely visualize the effects of weather conditions or technical changes. The Digital Twin Composer forms the basis for scalable industrial metaverse environments and makes it possible to use industrial AI, simulations and physical real-time data for fast and well-founded decisions. The solution is part of the Siemens Xcelerator portfolio, which is used worldwide to develop digital twins.

PepsiCo as a user example

PepsiCo is using the Digital Twin Composer to digitize selected production and logistics sites in the USA. The goal is to create high-resolution 3D digital twins that simulate both plant operations and the entire supply chain. Within a few weeks, new configurations were optimized and validated to increase capacity and throughput.

By combining Digital Twin Composer, NVIDIA Omniverse libraries and computer vision, machines, conveyors, pallet routes and motion sequences can be simulated with physical accuracy. AI agents can identify up to 90 percent of potential problems before physical changes are made. According to Siemens, the approach has already led to a 20 percent increase in throughput, almost complete design validation and investment cost reductions of 10 to 15 percent.

Nine new industrial AI co-pilots

Another focus was on the expansion of the Copilot portfolio. Siemens announced nine new AI-supported copilots that span the entire industrial value creation process - from design and simulation to product lifecycle management, manufacturing and operations. These include Copilots for Teamcenter, Polarion and Opcenter, which are designed to simplify navigation in product data, automate compliance processes and make manufacturing processes more efficient, among other things.

Siemens is also working together with Microsoft to dovetail the IT and OT worlds. In a discussion with Jay Parikh, Executive Vice President CoreAI at Microsoft, the joint development of the industrial copilot, which has already won several awards, was highlighted. All Copilots are available via the Siemens Xcelerator Marketplace for companies of all sizes.

Applications in life sciences, energy and manufacturing

In the life sciences, Siemens is using the acquisition of Dotmatics to integrate large volumes of research data into AI solutions. The Luma platform makes it possible to consolidate billions of data points from laboratories and instruments. In combination with simulations and digital twins from the Simcenter portfolio, drug candidates can be identified more quickly and production processes can be scaled up virtually - up to 50 percent faster and more cost-effectively, according to Siemens.

In the energy sector, Bob Mumgaard, CEO and co-founder of Commonwealth Fusion Systems, explained how Siemens technologies are being used in the development of commercial fusion energy. Design software and a consistent data backbone are intended to accelerate the development of fusion plants.

For manufacturing, Siemens also announced a collaboration to bring industrial AI to Meta Ray-Ban AI Glasses. With hands-free audio guidance, safety information and feedback in real time, the aim is to support employees in production more efficiently.

Presentation at the CES

At the Siemens booth in the North Hall of the Las Vegas Convention Center, the company showed how design, simulation, automation, AI and digital twins work together. In addition to PepsiCo and Commonwealth Fusion Systems, the company Haddy, which implements sustainable production concepts using AI-supported 3D printing processes and local micro-factories and relies on Siemens technologies, was also presented.