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Industrial AI x sustainability

Scaling sustainability impact with AI

As organizations navigate the energy transition, circularity, and growing complexity, Industrial AI is becoming a key driver of sustainable transformation. Discover how AI helps improve energy and resource efficiency, reduce emissions, and deliver measurable business outcomes.

Video

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.

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.

Report: From Signal to Scale

The Industrial AI Sustainability Opportunity

How can Industrial AI drive measurable sustainability impact? This joint report by Siemens, Quantis, and BCG analyzes 420 AI deployments across 100+ industrial companies, highlighting where AI is already delivering environmental benefits, what enables successful scaling, and where the greatest opportunities lie ahead.

The next stage of Industrial AI

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 2025, 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: Joint report by Siemens, Quantis, and BCG "From Signal to Scale. The Industrial AI Sustainability Opportunity".

↑ 420 Validated market signals

420 Industrial AI deployments, pilots, and investments were identified.

↑ 80% Real-world adoption

More than 80% of identified signals are already active Industrial AI deployments.

~90% Impact within company boundaries

~90% of observed Industrial AI activity occurs within individual companies, leaving ecosystem potential largely untapped.

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.
Dr. Eva Riesenhuber, Global Head of Sustainability, Siemens AG

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