1、AI for infrastructure resilienceJune 2025Table of contentsForeword 03Executive summary 041.Introduction 062.Investing in stability:Why infrastructure resilience matters 082.1.Growing infrastructure exposure 102.2.Risks impacting infrastructure systems 102.3.Incorporating resilience into infrastructu

2、re 142.3.1.Plan:the prevention phase 142.3.2.Respond:detection and reaction during the hazardous event 152.3.3.Recover:after the incident 153.Leveraging AI for infrastructure resilience 163.1.MeasuringtheeffectivenessofAIforinfrastructureresilience183.2.PotentialeconomicbenefitsofAI-poweredresilient

3、infrastructure193.3.AI-enabledinfrastructureresilienceinaction213.3.1.Reducing vulnerability:robust planning and preventive measures 213.3.2.Mitigatinghazard:real-timedetectionandreactivemeasures243.3.3.Timely optimal recovery 254.Unlocking the resilience potential of AI for infrastructure 264.1.Bar

4、rierstotheimplementationofAI274.2.Awayforward29Appendices 32Appendix1.Estimationoftheeconomicvalueofinfrastructure32Appendix2.Assessmentoftheaveragedirectcostsofdifferenthazards32Appendix3.CalculationoftheresilienceenabledbyimplementationofAI33Authors 35Contacts 36Deloitte Center for Sustainable Pro

5、gress 37Endnotes 38Around the globe,infrastructure systems are under growing pressurefrom extreme weather events and aging assets to the demands of the energy transition,urbanization,and accelerating technological change.Yetamidst these challenges lies a significant opportunity:toenvision and create

6、 infrastructure that is more resilient,intelligent,and adaptable.Artificial intelligence(AI)is rapidly transitioning from being experimental to being an important part of the solution.Leaders are recognizing AI not just as a technical innovation,but one of the strategic tools that can be used to mak