利用生成式人工智能增加就业和提高劳动力生产率:场景、案例研究和行动框架(英文版)VIP专享

LeveragingGenerativeAIforJobAugmentationandWorkforceProductivity:Scenarios,CaseStudiesandaFrameworkforActionINSIGHTREPORTNOVEMBER2024IncollaborationwithPwCContentsImages:Unsplash.com©2024WorldEconomicForum.Allrightsreserved.Nopartofthispublicationmaybereproducedortransmittedinanyformorbyanymeans,includingphotocopyingandrecording,orbyanyinformationstorageandretrievalsystem.DisclaimerThisdocumentispublishedbytheWorldEconomicForumasacontributiontoaproject,insightareaorinteraction.Thefindings,interpretationsandconclusionsexpressedhereinarearesultofacollaborativeprocessfacilitatedandendorsedbytheWorldEconomicForumbutwhoseresultsdonotnecessarilyrepresenttheviewsoftheWorldEconomicForum,northeentiretyofitsMembers,Partnersorotherstakeholders.ForewordExecutivesummaryIntroduction1GenAI’spotentialforpromotingjobaugmentationandworkforceproductivity2TheunwrittenfutureofGenAIintheworkforce3Insigthsfromearlyadopters4FrameworkforactionConclusionAppendix:ScenariomethodologyAcknowledgementsContributorsEndnotesReferences34671116212728293031322ForewordGenerativeartificialintelligence(GenAI)istransformingtheworldofwork.AccordingtotheWorldEconomicForum’slatestFutureofJobssurvey,withinthenextfiveyears,employersexpectGenAIadvancementstoreshapeasubstantialnumberofjobs,potentiallyaffectingupto40%oftotalglobalworkinghours.Asthecapabilitiesofthistransformativetechnologycontinuetoevolve,organizationsarewonderinghowtheycanuseGenAItodrivejobaugmentationandworkforceproductivity,andtheactionstheycantaketoharnessitsfullpotential.Tofindout,theWorldEconomicForumandPwCembarkedonanewpieceofresearchfocusingonhowearlyadoptersofGenAIareleveragingitacrosstheworkforce,theimpactitishavingandthelessonstheyhavelearnedalongtheway.Basedoninterviewswithmorethan20organizationsacrossawiderangeofindustriesandgeographies,wefoundthatsuccessfuldeploymentofGenAIdependsasmuch,ormore,onpeoplethanthetechnologyitself.Workersneedtounderstand,trust,andadoptGenAI.Thisrequiresnotonlytrainingandsupportbutalsoaculturalshiftwithintheorganizationtoembracenewwaysofworking.Thisreportcoversinsightsfromtheearlyadoptersweinterviewed,aswellasfourdifferentscenariosforhowthedeploymentofGenAIinorganizationscouldplayout.ItalsooffersanactionableframeworkwhichorganizationscanusetoshapetheirGenAIworkforceapproach.Wewouldliketothankalltheorganizationsandexpertswhogenerouslysharedtheirtimeandexperiencewithus.WehopethisreportwillbeausefulresourcefororganizationsacrosstheworldastheynavigatetheopportunitiesandchallengesthatGenAIbringsforjobaugmentationandworkforceproductivity.PeterBrownPartner,PwCUK;GlobalWorkforceLeader,PwCTillLeopoldHead,Work,WagesandJobCreation,WorldEconomicForumLeveragingGenerativeAIforJobAugmentationandWorkforceProductivity:Scenarios,CaseStudiesandaFrameworkforActionNovember20243ExecutivesummaryGenerativeartificialintelligence(GenAI)hasthepotentialtodrivesignificantimprovementsinworkforceproductivityattheleveloftasks,organizationsandeconomies.Deliveringthosegainsdepends,amongotherthings,onthedeploymentofGenAItoaugmentjobs,i.e.topartiallyperformtasksinsuchawaythattechnologyeffectivelysupportsorenhanceshumancapabilitiesthroughhuman-machinecollaboration.Drawingonareviewofexistingresearch,scenarioanalysisandcasestudiesofearlyadopters,thisreportproposesaframeworkforactionthatfostersjobaugmentation.GlobalcontextWhatsetsGenAIapartfrompre...

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