AI助力基础设施韧性

Table of contentsForeword03Executive summary041. Introduction062. Investing in stability: Why infrastructure resilience matters082.1.Growing infrastructure exposure102.2.Risks impacting infrastructure systems102.3.Incorporating resilience into infrastructure142.3.1.Plan: the prevention phase142.3.2.Respond: detection and reaction during the hazardous event152.3.3.Recover: after the incident153. Leveraging AI for infrastructure resilience163.1.MeasuringtheeffectivenessofAIforinfrastructureresilience183.2.PotentialeconomicbenefitsofAI-poweredresilientinfrastructure193.3.AI-enabledinfrastructureresilienceinaction213.3.1.Reducing vulnerability: robust planning and preventive measures213.3.2.Mitigatinghazard:real-timedetectionandreactivemeasures243.3.3.Timely optimal recovery254. Unlocking the resilience potential of AI for infrastructure264.1.BarrierstotheimplementationofAI274.2.Awayforward29Appendices32Appendix1.Estimationoftheeconomicvalueofinfrastructure32Appendix2.Assessmentoftheaveragedirectcostsofdifferenthazards32Appendix3.CalculationoftheresilienceenabledbyimplementationofAI33Authors35Contacts36Deloitte Center for Sustainable Progress37Endnotes38 Around the globe, infrastructure systemsare under growing pressure—from extremeweather events and aging assets to thedemands of the energy transition, urbanization,and accelerating technological change.Yet amidst these challenges lies a significantopportunity:to envision and createinfrastructure that is more resilient,intelligent, and adaptable.Artificial intelligence (AI) is rapidly transitioningfrom being experimental to being an importantpart of the solution. Leaders are recognizingAI not just as a technical innovation, but oneof the strategic tools that can be used to makeinfrastructure systems more resilient. Whetherthrough predictive maintenance, digital twins, orAI-enabled early warning systems, AI is helpingpublic and private sector leaders make faster,smarter and more accurate decisions—and indoing so is helping to mitigate risks, reduce costs,lower recovery times, and maintain vital servicesto support thriving societies and economies.Examples are already emerging, like the use ofdigital twins in city planning to simulate floodoccurrences in different extreme weatherscenarios, demonstrating what’s possiblewhen advanced technology is embedded intoinfrastructure strategy.Foreword The potential of AI is vast. With the right visionand ecosystem collaboration, it can helpleaders build infrastructure that’s stronger,more efficient, more sustainable and future-ready. Progress comes when infrastructurestakeholders—including policymakers, planners,operators, investors, technology providers, andinsurers—move beyond experimentation andpilots to help scale AI adoption with confidence.The timing is right. Ecosystems are evolving.Solutions are maturing. The value proposition isclear. AI can be both a tool for innovation and astrategic enabler of resilience.Explore the insights, draw inspiration from theexamples, and consider how your organizationcan take the next step forward.Jennifer SteinmannDeloitte Global Sustainability Business leaderCosti PerricosDeloitte Global GenAI Business leader03 Executive summaryInfrastructure is fundamental to modern society. It can shape how we live, work andmove, enabling the flow of people, goods, and information. From energy and water,to healthcare, sanitation, and transportation, infrastructure helps deliver essentialservices that support human well-being and economic resilience. When infrastructurethrives, societies can flourish.Toremaineffective,infrastructureshouldcontinuallyevolve. With accelerating population growth and economicdevelopment,thecomingdecadeswilllikelydemandawaveofnewinfrastructure—systemsthataremoreexpansive,intelligent,adaptive,andsustainable.Butasinfrastructuresystemsgrowinsizeandvalue,theyalsobecomeincreasinglyvulnerable to the changing environments around them.Natural disasters alone are projected to cause approximatelyUS$460 billion in average annual losses to infrastructure globallyby 2050.1Forcomparison,naturaldisastershaveresultedinmore than US$200 billion of average annual damages globallyover the last 15 years.2Natural hazards are expected to becomemore frequent and intense in the future due to the changingclimate,significantlyincreasingassociatedlosses.3Resilientinfrastructure—soitcanabsorbtheseshocks,bouncebackquickly,andadapt4—is important as continued economicandcivildemandsputhighways,powergrids,andwatersystems under greater stress.5Making infrastructure resilientcanhelpprotectlivesandlivelihoods,keepcitiesrunning,andenable economic growth despite potential risks.6Thetransformativepowerofartificialintelligence(AI)hasthepotentialtosignificantlyenhanceinfrastructureresilience.Infrastructure resilience unfolds across three stages—planning(prevent),response(detectandreact),andrecovery—andAIcanofferpowerfultoolsateachstep.Intheplanningphase,machine learning can help analyze risk data and simulatesc