Siemens (SIE) CES 2026 Keynote summary

Keynote insights and strategic vision

• AI is positioned as the next transformative force for industry, with a focus on embedding intelligence into real-world systems and infrastructure, accelerating the industrial AI revolution at a pace faster than previous technological shifts.

• Partnerships with leading technology firms like NVIDIA, AWS, and Microsoft are central to scaling industrial AI, enabling digital twins, advanced simulations, and AI-driven automation across manufacturing, energy, and supply chains.

• The Siemens Xcelerator Marketplace is highlighted as a unified platform for industrial AI technologies, data integration, and partner collaboration, supporting rapid deployment and scaling of solutions.

• Real-world impact is demonstrated through case studies in adaptive manufacturing, grid stability, drug discovery, and customer collaborations with companies like PepsiCo and Hero MotoCorp.

• The keynote emphasizes responsible, reliable, and explainable AI, with a focus on trust, safety, and the convergence of IT and OT for industrial applications.

Industry analysis and expert sessions

• Analyst and executive panels identify agentic and physical AI as the next wave, with early adopters gaining competitive advantage through data-driven automation and digital twins.

• Challenges for industrial AI adoption include data silos, legacy system complexity, funding, trust, and the need for robust ecosystems and partnerships.

• The Siemens for Startups program and Xcelerator ecosystem are showcased as enablers for innovation, lowering barriers for startups and fostering collaboration with large enterprises.

• Physical AI is described as the convergence of AI with robotics and automation, driving real-time sensing, action, and decision-making on the factory floor and beyond.

• Sustainability, workforce transformation, and upskilling are recurring themes, with AI seen as a catalyst for attracting new talent and preserving institutional knowledge.

Customer and partner showcases

• PepsiCo reports a 20% efficiency gain and 10–15% CapEx reduction using Digital Twin Composer, with plans to scale globally and modernize brownfield operations.

• Hero MotoCorp leverages Teamcenter X on AWS to cut development times by 50%, enable global collaboration, and integrate AI for design reuse and generative engineering.

• Disney, through collaboration with Haddy and Siemens, utilizes large-format 3D printing and digital threads to rapidly create durable, sustainable props, highlighting the value of ecosystem partnerships.

• Commonwealth Fusion Systems demonstrates the use of digital twins and AI to accelerate the commercialization of fusion energy, with Siemens technology supporting design, manufacturing, and plant operations.

• Accenture and Siemens highlight joint digital thread and AI projects with clients like Navantia and KION, delivering productivity, cost, and quality improvements through integrated engineering and manufacturing solutions.