How Artificial Intelligence could be used towards the sustainable Management of existing infrastructures

Artificial Intelligence (AI) can significantly enhance the sustainable management of existing infrastructures through various applications, including, among others: (i) Predictive Maintenance: AI algorithms analyse data to predict failures before they occur, reducing downtime and extending infrastructure lifespan while minimizing resource use; (ii) Multicriteria Optimization: AI models optimize the decisions concerning operation and maintenance of infrastructures, leading to reduced carbon footprints; (iii) Asset Monitoring and Inspection: Using AI-powered image and video analysis (e.g., drone, CCTV), infrastructure components like bridges, roads, and pipelines can be regularly inspected for damages or degradation, enabling timely repairs and extending their lifetime; and (iv) Integration with IoT and Big Data: Combining AI with IoT devices and large datasets enables real-time decision-making, proactive maintenance, and adaptive operations aligned with sustainability goals. By leveraging these AI-driven approaches, it is possible to manage infrastructure more sustainably, reducing environmental impact, and extending infrastructure lifespan—all while maintaining safety and efficiency.