Siemens to Showcase Industrial AI Platform at CES 2026 Keynote
Siemens AG CEO Roland Busch will unveil the company’s AI-powered industrial technology stack at CES 2026, showcasing how artificial intelligence, digital twins, and automation are transforming manufacturing, infrastructure, and transportation announced in a press release.
Busch’s keynote, scheduled for January 6, 2026, will demonstrate how Siemens integrates AI with digital twin technology to streamline design, planning, and operations across industrial environments. The company will highlight real-world applications of its industrial AI systems that combine data, domain expertise, and automation.
At CES, Siemens will also feature an interactive booth experience at the Las Vegas Convention Center, offering demonstrations of AI-driven technologies and customer use cases. A livestream broadcast will include discussions with Busch, Chief Technology Officer Peter Koerte, and industry experts on scaling AI across industrial sectors.
Other keynote speakers at CES 2026 include Dr. Lisa Su of AMD, Joe Creed of Caterpillar, Yannick Bolloré of Havas and Vivendi, and Yuanqing Yang of Lenovo. The event runs January 6–9 in Las Vegas.
We hope you enjoyed this article.
Consider subscribing to one of our newsletters like Industrial AI Weekly or Daily AI Brief.
Also, consider following us on social media:
Subscribe to Industrial AI Weekly
The latest advancements in smart manufacturing, predictive maintenance, AI-driven quality control, supply chain & more.
Industry analysis
2025 Global Business Services Agenda: Gen AI Takes Center Stage
This industry analysis by The Hackett Group explores the transformative impact of generative artificial intelligence (Gen AI) on global business services (GBS) in 2025. The study highlights the shift from exploration to acceleration of Gen AI initiatives, with 89% of executives advancing these projects to improve customer satisfaction, innovate products, and reduce costs. The report also discusses the challenges and strategies for successful Gen AI adoption, emphasizing the need for a technology-enabled operating model and the importance of reskilling the workforce.
Read more