Schneider Electric is reinforcing its view that artificial intelligence and energy systems are increasingly interdependent, positioning AI as a critical enabler of sustainable operations across industries. With more than 176,000 employees globally, the company has committed to achieving net zero emissions across its entire value chain by 2050, a target validated by the Science Based Targets initiative.

At the Annual Meeting of the World Economic Forum in Davos, Schneider Electric outlined new initiatives tied to energy intelligence and AI integration. The company emphasized that as computing demand accelerates, energy management must evolve alongside it.

Chief Executive Officer Olivier Blum stated that AI-driven computing requires reliable and efficient power systems, underscoring the need for advanced energy intelligence. According to company leadership, electrification, automation, and digitalisation are central to improving efficiency while supporting sustainability objectives across businesses and households.

Leadership Perspective on Sustainability Integration

Sorouch Kheradmand, Global Head of Sustainability at Schneider Electric, has been steering the company’s sustainability agenda since assuming the role in May 2023. Having joined the company more than 13 years ago, he has held positions including Commercial Manager, Strategy Director, and Commercial and Portfolio Director, serving as a member of the management committee.

Kheradmand’s background spans research and development, strategic project leadership, and commercial team management. His responsibilities at Schneider Electric include carbon footprint assessment, circularity strategy development, and decarbonisation of manufacturing and supply chains.

He has consistently framed sustainability as a strategic business opportunity rather than a compliance obligation, advocating for integration of environmental objectives into core corporate strategy. Beyond his corporate role, he also serves as a non-executive director and advisor within the impact and sustainability sector.

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AI Applications Recognised on the Global Stage

At Davos, Schneider Electric demonstrated AI-driven applications designed to deliver measurable energy efficiency gains. These initiatives have been acknowledged within World Economic Forum programmes focused on technology and sustainability.

The company’s approach reflects a broader shift in which AI is applied to emissions tracking, operational optimisation, and supply chain transparency. By leveraging data-driven systems, organisations can enhance accuracy and responsiveness in managing environmental performance.

Schneider Electric maintains that AI-enabled energy management systems can address rising electricity demand associated with digital transformation, while simultaneously reducing carbon intensity.

AI and Sustainability in Practice

Kheradmand is scheduled to participate in the AI in Sustainability panel at Sustainability LIVE: The Net Zero Summit in London on 4 March 2026. The discussion will explore how artificial intelligence is transforming environmental performance management, including emissions monitoring, energy optimisation, climate modeling, and sustainable supply chains.

He will be joined by leaders from Amazon Web Services, NVIDIA, NHS, and Google. The session aims to examine how intelligent systems are increasing speed and precision in sustainability initiatives across sectors.

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Aligning Technology and Net Zero Ambitions

Schneider Electric’s strategy reflects the convergence of digital infrastructure and decarbonisation objectives. As AI workloads expand and energy systems become more complex, the company positions itself as a partner capable of integrating hardware, software, and analytics to improve energy performance.

By combining automation platforms with AI-driven optimisation tools, Schneider Electric seeks to demonstrate that sustainable energy management is both technically feasible and economically aligned with long-term growth.

The company’s emphasis on energy intelligence suggests that future sustainability progress will depend not only on renewable deployment, but also on how efficiently digital systems are designed, powered, and managed.

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