AI can help make ESG and circularity more practical, measurable and connected to business value, but its own environmental footprint must also be considered.
This theme aligns directly with the Knowledge Café question on AI, ESG and sustainability, which asked how AI can accelerate progress on ESG and circular economy goals, while minimizing its own environmental footprint.
Participant notes suggest a pragmatic view of ESG. Participants focused on how AI could support practical decisions around smart buildings, space planning, footprint reduction, asset life cycle management, materials, data accuracy and financial value.
Many organizations have ESG commitments, sustainability targets, and circular economy ambitions. The challenge is often translating those commitments into everyday operational decisions. FM has a critical role in this translation because it manages the buildings, assets, services, spaces, resources, suppliers, and operational processes through which sustainability goals become real.
This builds directly on IFMA’s circular economy research, which positioned FM as a key function for translating circular principles into operational decisions about assets, materials, space, procurement, life cycle value, and waste reduction.
AI could strengthen this role by helping FM teams make better use of building data, identify inefficiencies, optimize space, reduce energy demand, support life cycle decisions, and improve the accuracy of sustainability reporting. However, the notes also show that participants recognized a tension. AI itself requires significant infrastructure, energy, water, and data center capacity. As a result, AI should not be treated as automatically sustainable.
FM leaders should also work closely with sustainability, IT, real estate, finance, procurement, and operations teams. ESG outcomes cannot be delivered by FM alone, but FM is often the function closest to the physical and operational decisions that determine whether sustainability goals are achieved.
The fifth theme shows that AI can help FM leaders make ESG and circularity more actionable. Participants connected AI to meaningful goals, financial value, smart buildings, space optimization, asset life cycle management and materials intelligence. At the same time, they recognized that AI has its own environmental footprint.
AI can help operationalize ESG and circularity in FM, but only if leaders connect sustainability goals to data, decisions, business value and responsible technology use.
International Facility Management Association (IFMA) supports over 26,000 members in 140 countries. Since 1980, IFMA has worked to advance the FM profession through education, events, credentialing, research, networking and knowledge-sharing.
