Artificial Intelligence (AI) is becoming a key driver of industrial innovation and sustainability. In this interview, Dr. Eva Riesenhuber, Head of Sustainability, Siemens, explains how AI copilots, generative AI, and digital twin technology help organizations improve efficiency, reduce energy consumption, and accelerate innovation. Through real-world examples, the discussion highlights how AI can optimize power grids, revolutionize product design, and unlock new opportunities for productivity and resource efficiency. Digital twins play a crucial role by connecting the physical and digital worlds, enabling data-driven decisions and continuous optimization across products, factories, buildings, and infrastructure. The interview also explores how technology, knowledge sharing, and collaboration between businesses, governments, and society can help advance the energy transition and the shift toward a circular economy in an inclusive and sustainable way.
AI accelerates the sustainability transformation
Discover how AI and digital twin technology drive sustainable industry, optimize energy grids, and enable innovative product design. Learn about real-world impacts and the importance of collaboration for a greener, more inclusive future.
From early adoption to scaling impact
Two transformations are shaping our world: the energy transition and the transition from a linear to a circular economy.. Navigating both amid growing complexity requires new approaches. Industrial AI unlocks new possibilities - enabling simulation before construction, optimization before operation, and orchestration across entire value chains - transforming energy systems, supply chains, and infrastructure into intelligent, sustainable ecosystems.
Building on our inaugural report in 2024, this year’s edition highlights how organizations have progressed beyond early adoption to deploying industrial AI at scale - driving measurable sustainability impact.
Key Findings
Source: Reuters report "From pilots to performance. How Industrial AI is Helping to Scale Sustainability Impact."
↑ 63% Widespread adoption
63% of organizations are actively implementing industrial AI.
↑ 81% Growing confidence
81% of respondents agreed that future innovation in sustainability will be driven by industrial AI.
↑ 23% Proven results
Organizations are achieving an average of 23% energy savings and 24% CO₂ reductions with industrial AI.
Climate change, biodiversity loss, population growth require customers to embrace energy transition, circularity transition and societal changes at the same time. The complexity of juggling global interconnected system transitions in times of major disruptions can only be mastered with AI.



