At CES 2026, Siemens unveiled a suite of industrial artificial intelligence technologies aimed at accelerating digitalization across the energy, manufacturing and infrastructure sectors, including upstream oil and gas operations. This announcement builds on Siemens' long-standing focus on digital twins, automation, and data-driven decision-making for complex industrial assets.
Central to this update is what Siemens calls an expanded partnership with NVIDIA for development purposes. Industrial AI operating systemis designed to incorporate AI across the entire lifecycle of an industrial facility, from design and engineering to operations and maintenance. Siemens said the platform will combine simulation, real-time operational data and AI models to enable faster optimization and more resilient asset performance.
For asset-intensive industries, Siemens digital twin composerexpected to be available in mid-2026. The software integrates high-fidelity digital twins with real-time engineering data to enable operators to simulate facility changes, environmental conditions, and operational changes before execution. Siemens said the technology is aimed at supporting large-scale infrastructure such as energy facilities, pipelines and industrial plants where capital efficiency and risk mitigation are critical.
Siemens also introduced a series of products. AI-powered industrial co-pilot It spans engineering, compliance, manufacturing, and operational software platforms. These tools are designed to assist engineers and operators with tasks such as working with complex datasets, validating designs, managing regulatory requirements, and improving operational efficiency. These areas are becoming increasingly relevant for upstream developments, which face tighter cost controls and regulatory oversight.
Company executives said these technologies are aimed at shortening project schedules, increasing predictability and reducing capital and operating costs across the energy and industrial value chain. Siemens has demonstrated that its industrial AI portfolio is being deployed through the Siemens Xcelerator ecosystem, with early applications already underway in energy-related projects and advanced infrastructure developments.
