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PWC
Empoweredby
Intelligence,
BoundforInnovation
PwCGlobalAIPerformanceStudyChinaReport
PwCGlobalAIPerformanceStudyChinaReportPwC1
Foreword
AstheintegrationofArtificialIntelligence(AI)withtherealeconomydeepens,AIhasemergedasapivotalenginedrivingthetransformationofthedigitaleconomyandacornerstoneforbuilding
corecorporatecompetitiveness.Italsoservesasavitalcatalystforenterprisestoacceleratetechnologicalself-relianceanddrivesustainablegrowth.
AccordingtoPwC’s2026AIPerformanceStudy,intenseAIadoptionhasnotyettranslatedinto
measurablereturnsformanyenterprises.Atthisstage,valueremainshighlyconcentrated
amongstaselectfew.Ofthe1,217globalcompaniessurveyed,only20%of“AIleaders”captured74%oftheeconomicgainsdrivenbyAItechnology.
WhatsetstheseAIleadersapartfromotherbusinesses,andwheredoChineseenterprisesstandregardingtheirAImaturity?WeconductedacomprehensiveevaluationutilisingtheAIFitness
Index,tomeasuretheperformanceofeachenterprise.OurresearchrevealsthatsuccessfulAI
leadersareabletopreciselypinpointpainpoints,constructtailor-madeinfrastructure,anddeeplyembedAIintotheirorganisationalDNA.Bolsteredbyastrategic,nationalemphasisand
substantialpublic-privateinvestment,theAIcapabilitiesofChineseenterprisesareadvancingrapidly,narrowingthegapwithgloballeadersandsuccessfullysecuringapositionwithintheworld’sfirst-tierechelon.
BybenchmarkingtheAIfitnessindicesofAIleaders,Chineseenterprises,andothers,thisreportexamineshowleadingcompaniestranslateAIdevelopmentintoperformancegrowth.Italso
analysesthecompetitivestrengthsandstructuralbottlenecksshapingtheAIdevelopmentofChineseenterprises.Drawinguponthewinningstrategiesofgloballeaders,thereportoffersactionablerecommendationstohelpenterprisesharnessAIforsustainablerevenuegrowth.
ű
Artificialintelligenceisreshapingtheglobalbusinesslandscape.Our2026GlobalAIPerformanceStudy
clearlyshowsthatsystematicAIdeploymentcan
deliversignificantvalueforenterprises.China’sAI
applicationecosystemisvibrantanddynamic,
demonstratingremarkableprogressincross-industryintegration,withimplementationpracticesthatrankamongstthemostadvancedglobally.AsChina’sAI
marketcontinuestodevelop,itisgivingrisetoawiderangeofinnovativemodelsthatcanoffervaluable
insightsfortheglobalAIindustry,supportthedigitaltransformationoftherealeconomy,andcontributetothedevelopmentoftheglobaldigitaleconomy.
HemioneHudson
ChairandCEO,PwCChina
PwCGlobalAIPerformanceStudyChinaReportPwC3
KeyfindingsforChineseenterprises
1.Chineseenterprises
1
leadtheworldinAIfitness,surpassingthemedianvaluesofglobalAIleadersacrossthemajorityofmetrics.
2.Strongadvantageinindustryconvergence:Chineseenterprisesexhibitsignificantlyhigher
penetrationofAIapplicationsrelatedtosectorconvergence—includingcross-enterprise
collaboration,responsivenesstoshiftsincustomerneeds,andunlockingnewvaluefrom
cross-sectorecosystems—thanglobalAIleaders.Inparticular,thepenetrationrateofcross-sectorcollaborationisapproximately2.3timeshigherthanthatofothercompaniesglobally.
3.Superiorexecution-layerimplementationefficiency:Execution-orientedAIapplications,suchasprocessautomationandreplacementofstandardisedoperations,slightlyoutperformthoseofglobalAIleaders.ChineseenterprisesdemonstratefasterAIdeploymentandstronger
executioncapabilitiesinscalingandrollout.
4.Gapsremaininclosingthevalueloop:AlthoughmostenterpriseshavebeguntofocusontheactualbusinessvalueofAIandhaveestablishedstrategicplansthatcombineshort-andlong-termhorizons,theircapabilitiesinsystematicallytrackingAI’sbusinessimpactandexecutingstrategystilllagsignificantlybehindglobalAIleaders.
5.Lowerefficiencyinconvertinginnovationintovalue:InvestmentininnovationexperimentationinfrastructureexceedsthatofglobalAIleaders,yetthereisalackofmechanismstoexpandfromindividualpilotstolarge-scalerollout.Asaresult,innovationoutcomestendtoremain
confinedtothepilotstage,limitingthelong-termcompoundingreturnsoninvestment.The
phenomenonof“pilotsareeasy,whilescalingandfullimplementationarehard”continuestobewidespread.
6.Trustandgovernancerequirefurtherstrengthening:ThefoundationofenterprisetrustinAI
remainsrelativelyweak.EmployeesgenerallyremaincautiousaboutactingonAI-generatedinsightsandhavenotyetintegratedthemintoday-to-daydecision-makingtothesameextentasglobalAIleaders.Atthesametime,mostenterpriseshaveyettomeettheregulatory
standardsandcomplianceframeworksdemonstratedbyindustrybenchmarks.ClearroomforimprovementexistsinbothwillingnesstoapplyAIandcompliancecapabilities.
1.Inthisreport,“Chineseenterprises”referstosurveyedenterprisesinChineseMainlandanddoesnotincludeenterprisesfromHongKongSAR,MacaoSAR,orTaiwanregion.
PwCGlobalAIPerformanceStudyChinaReportPwC4
Contents
01AIperformancestudyforglobalenterprises05
I.ThemostAI-fitcompaniesaregettinga7.2timesAI-drivenperformance06boostovertheirpeers
II.WhatisAIFitnessIndex?08
III.CharacteristicsofglobalAIleaders10
02AnalysisofChineseenterprises’AIFitnessIndex13
I.ChineseenterprisesrankintheglobaltoptierforAIfitness14
II.AIuse:outstandingperformance,withgrowth-orientedapplicationsand17
scalingexceedingglobalbenchmarks;autonomousandself-optimising
capabilitiesstillrequirefurtherimprovement
III.AIfoundations:reachingglobalupper-tierlevelsthroughhighinvestment21andstronginfrastructure;innovationandexecution-to-scaleconversion
capabilitiesrequirefurtherimprovement
03ThepotentialandoutlookforAIperformance34developmentinChineseenterprises
I.ComparisonwithglobalAIleaders35
II.CharacteristicsofAIperformancedevelopmentamongenterprisesin38majorcountries
III.Developmentinsightsandoutlook41
01
AIperformancestudyforglobalenterprises
PwCGlobalAIPerformanceStudyChinaReportPwC6
AsenterprisesacceleratetheirAIinvestments,businessleadersoftenfindthattheseinvestmentsdonotalwaystranslateintosuperiorfinancialperformance.ThisglobalAIperformancestudyshowsthatthevalueofAIiscurrently
concentratedamongasmallnumberofcompanies:
Amongthe1,217enterprisessurveyedgloballyacross25industries,thetop20%ofenterprisesaccountfor74%ofallAI-drivenperformance.
I.ThemostAI-fitcompaniesaregettinga7.2
timesAI-drivenperformanceboostovertheirpeers
Tounderstandwhysomecompaniesareseeingrealreturnswhilemostarenot,webenchmarkedthesurveyedenterprisesontheirAI-drivenfinancialperformance,definedastherevenueand
efficiencygainsderivedfromAIandadjustedsoeachcompanycouldbecomparedagainstitssector’smedian.
Wealsoaskedseniorexecutivesatthesecompaniesabouttheirengagementin60areasofAI
managementandinvestmentpracticetotestthoseareas’effectsonAl-drivenfinancial
performance.Wegroupedthesepracticesintoninefactorsrelatedtothewaysinwhich
companiesuseAIandthefoundationalcapabilitiesthatmakeAIreliableandscalable.TheseninefactorsconstituteourAIFitnessIndex.
PwCGlobalAIPerformanceStudyChinaReportPwC7
ThemostAI-fitcompaniessee7.2xasmuchAI-drivenperformance*onan
industry-adjustedbasis
20
15.7
10
6.4
4.6
0.3
0
-2.6
15.7Theaverage
AIdrivenperformancescoreofthemostAI-fitcompanies
Thosewiththetop20%AIfitnesslevelshave
7.2×theAI-drivenperformanceofallothers
2.2Theaverage
AI-drivenperformancescoreofthebottom
80%ofcompanies
-10
Q1Q2Q3Q4Q5
QuintileofAIfitness
7.2x
*AI-drivenperformance(shownhereaspercentagepointdifferencerelativetomedianscore)isameasurethatcombinesAI-drivenrevenueandAI-drivenefficiency/costgainsrelativetosectormedians.EfficiencyfromAIrepresentstheaveragebetweenefficiencygainsandcostreductionsfromAI.
Note:Unlessotherwisestated,alldataandchartsinthisreportaresourcedfromPwC’sGlobalAIPerformanceStudyandhavebeenanalysedandcompiledbyPwCChina.
Theheadlineresultisclear:themostAI-fitcompanies(AIleaders)2inour
researchdeliverAI-drivenfinancialperformancethat’s7.2timesashighastheotherrespondents’performance.
2.“AIleaders”inthisreportarethoseinthetopquintile(20%)ofAI-drivenperformance.Thecorrespondingdataindicatorsreflectthemedianvalueofthesetop-performingenterprises.
PwCGlobalAIPerformanceStudyChinaReportPwC8
II.WhatisAIFitnessIndex?
WhataretheninefactorsofAIfitness?
TheAIFitnessIndexiscomposedofindicatorsthatmeasuresixfoundational
capabilities(AIfoundations)andthreeapplicationcapacities(AIuse).
2
Sophistication
AIfoundations
AIuse
Specifically,
AI
fitness
Sophistication
Thisfactorisameasureofa
company’smostadvancedAI
applications.Thinkofthisvariableasaspectrum—fromusingAIsimplytosummariselongtextsalltheway
throughtobuildingautonomous,
self-optimisingagents.TheAI
leadersaretwiceaslikelytouseAIthatoperatesautonomously.
Breadthanddepth
ThisfactorcaptureshowmuchAIisusedacrossyourorganisation’s
valuechainandhowdeeplyAIis
deployedintoworkflowswithineachfunction.TheAIleaders’scorefor
breadthanddepthisroughlytwiceashighastherest.
Capturingvaluefromindustryconvergence
ThisfactorassessestheextenttowhichAIenablescross-sectorcompetitionor
collaboration.Thatcouldbesensing
emergingvaluepoolsbetweensectors,respondingtoshiftsincustomerneeds,orcollaboratingacrosssectorstounlocknewvaluefromecosystempartnerships.AIleadersaremorelikelytouseAIto
derivegrowthfromindustry
convergence,thestrongestAIfitness
factorinfluencingAI-drivenperformance.
PwCGlobalAIPerformanceStudyChinaReportPwC9
Governanceandrisk
Thesecurity,accesscontrols,
regulatorycomplianceprocesses,
ethicalframeworks,andoversight
bodiesneededtomanageriskfromAIdesigntodeployment.AIleadersare1.6xaslikelytohavea
ResponsibleAIframeworkthat
guidesAIstrategy—includinguse
caseselection,design,deployment,andongoingmonitoring.
Innovation
Thisfactorcaptureshowinnovation-friendly—yetrigorous—acompanyis.Doesyourbusinesshavededicatedinnovationinfrastructure,like
sandboxenvironments?Embeddedownershipofinnovationwithin
businessunits?Andacadenceofportfolioreviewstotest,prioritise,scaleandstopAIinitiatives?AI
leadersaremorelikelytoprovidededicatedinnovationinfrastructureandconductfrequentreviewsof
innovationportfoliostoscaleupAIinitiatives.
Dataandtechnology
Thisfactoristhedegreetowhicha
businesshasmodern,scalable
platformsandtrusted,varieddata
sourcesaccessibletoeveryone.Alsocritical:reusableAIcomponentsandreplicable,redesignedworkflowsin
priorityapplications.Comparedtothechasingpack,AIleadersaremore
thantwiceaslikelytohave
eliminatedoutdatedandcostlyITapplications,systems,and
infrastructure.
Investment
ThisfactormeasuresthefundingandresourcingforAI.Areinvestment
levelssufficient?Canresourcesbereallocatedasprioritiesshiftwhilestillsupportinglonger-horizon
innovation?Leadingcompaniesaremorelikelytoinvestsufficiently,
reallocatefundswithagility,andinvestforlong-termresults.
Strategy
ThestrengthofconnectionbetweencorporatestrategyandAI
deployment.DoestheorganisationhaveaprioritisedAIroadmap?Iseveryusecaselinkedtoaclear
businessobjective?Isbusinessimpacttracked?AndissomeoneaccountableforeverycriticalAIoutcome?
Workforce
Thisfactorisameasureofwhetherleadersandemployeeshavethe
skills,incentives,collaboration
models,andlevelsoftrustneededtobuildAIanduseiteffectivelyinday-to-daydecisions.AIleadersare1.7timesaslikelyasotherfirmstosaytheiremployeesparticipatein
ongoing,role-basedAI-learning
sessions.Andthoseemployeesaretwiceaslikelytotrusttheinsights
generatedbyAI.
PwCGlobalAIPerformanceStudyChinaReportPwC10
III.CharacteristicsofglobalAIleaders
ResearchrevealsthatthemostAI-fitcompanies(i.e.,AIleaders)significantlyoutperformothercompaniesacrossthreecriticaldimensions,eachbyasubstantialmultiple:usingAItodrive
businesstransformationandgrowth,buildingstrongAIfoundations,andsuccessfullyscalingAIapplications.
01DrivingbusinesstransformationandgrowthwithAI
AIleadersbeginwithstrategicchoices,aligningAIwitharangeofhigh-valuebusinessobjectives.TheytreatAIasanengineforgrowthandbusinessreinvention,ratherthanmerelyatoolfor
improvingproductivity.Theyproactivelytargetopportunitiesinvalueflows,particularlyinareas
wherecompetitiveboundariesareblurringandnewecosystemsareemerging,andmanagetheseinitiativeslikeabusinessportfolio,withclearlydefinedaccountabilityandperformance
measurementmechanisms.
•AIleadersare1.5timesmorelikelythanothercompaniestouseAItoinnovatenewbusinessmodels.
•BothAIleadersandothercompaniesuseAItoimproveefficiency,butAIleadersare1.2timesmorelikelytouseAItogeneraterevenue.
•AIleadersaresignificantlymoreinclinedtouseAItosenseemergingvaluepools(1.8times),collaboratewithcompaniesoutsidetheirownsector(3times),competewithcompanies
outsidetheirownsector(2times),andunlocknewvaluefromecosystems(2.3times).
02BuildingtargetedAIfoundations
WhenincreasingtheextentofAIadoption,companieswithsolidAIfoundationsachievenearly
twicetheimprovementinAI-drivenperformancecomparedwiththosewithweakfoundations.ThekeydifferentiatoristhatAIleadersbuildonlythecapabilitiesrequiredtomeettheirobjectives,
avoidingunfocusedtransformation.Theymakesufficientandflexibleinvestments,upgradecriticaldataandtechnologyplatforms,buildemployeeconfidenceandcapability,enableinnovation,andimplementgovernancemechanismsscaledtotheirneeds.
•AIleadersinvest2.5timesmorethanothercompaniesandarefarmorelikelytomanagetheseinvestmentswithflexibility.
•AIleadersbuildcapabilitiesthatareprecisely“fitforpurpose”.Forexample,theyare2.4timesmorelikelytocreatereusableAIcomponentsand1.7timesmorelikelytoprovidehigh-qualitydatamatchedtopriorityAIapplications.
PwCGlobalAIPerformanceStudyChinaReportPwC11
03Successfullyscalingprovenapplications
AIleadersareselectiveinscaling:theydonotscatterAIacrosseveryarea,butinsteadensurethatpriority
usecasesareconsistentlyimplementedacrosstheenterprise.Theyreusevalidatedsolutionsacrossteams,regions,products,anddecisionnodesthatdrivetargetoutcomes;embedAIintocoreworkflowsand
systems,therebychanginghowworkisperformed;andapplyAIinmoresophisticatedways—evolvingfromsimplesummarisationtoolstoautomatedsolutions.
•AIleadersareapproximatelytwiceaslikelyasothercompaniestodeeplyembedAIacrossallpartsofthevaluechain,coveringareassuchascorporatestrategy,supplychainoperations,andfront-
andback-officefunctions.
•AIleadersarenearlytwiceaslikelyasothercompaniestooperateAIatahigherlevelofsophistication(forexample,autonomousandself-optimisingAI).
AhigherlevelofAIfitnessimprovesabroadrangeofintermediateperformanceoutcomes,whichinturnshapefinancialresults.AIleadersaremorelikelythanotherstoreportthattheirAI
portfolioshaveacceleratedthelaunchofnewproductsandservices.TheyalsoindicatedthatAIhashelpedtransformtheirbusinessandoperatingmodels,improveddecision-makingquality,
andenhancedcustomerexperienceandtrust—keymetricsthatmanyexecutivesprioritise.
SimilarcompoundingeffectsoccurbetweenAIuseandAIfoundations.WhencompanieswithstrongfoundationsincreaseAIuse,theyseenearlydoubletheimprovementinAI-driven
performanceseenbythosethathaveweakerfoundations.Ineffect,foundationsraisethe
conversionratefromAIactivitytomeasurableoutcomes.Strongerdataandplatformsreduce
time-to-deploy,whileworkflowredesignandworkforcetrust-buildingincreaseadoption.Greateradoption,inturn,generatesricherdataandfeedback—improvingthesystemovertimeand
increasingimpactwitheachdeployment.
12
PwCGlobalAIPerformanceStudyChinaReportPwC
IDEAINMOTION
Alargetechnologyproviderimprovescustomerexperience
Theprompt
Amajortechnologycompanywithmillionsofcustomersfacedrisingexpectationsforseamless,personalisedservice.Butitslargelymanualcustomerengagementmodelcouldn’tkeepup.
Companyleaderswantedtoimprovecustomerexperiencewhilekeepingcostsundercontrol.
Themove
PwCdesignedanddeployedanAI-driven,omnichannelcontactcentrethatcombinedpredictive
intentmodelling,adaptivedialogue,andreal-timeanalyticstosupporthumansandAIagents.A
centralisedAIagentmanagementhubenabledorchestrationacrosschannels,scaleddeployment,andgovernance.Tohelpemployeesusethenewsoftwareeffectively,thecompanyalso
establishedResponsibleAI,workforceupskilling,andnewwaysofworkingforhuman-AIteams.
Theoutcome
Theresultswereimmediateandmeasurable:customersspent25%lesstimeonthephone
resolvingrequest,andcalltransfersfellbyasmuchas60%,meaningmoreissueswerehandledonfirstcontact.Customerexperienceimprovedaswell;thecompany’sNetPromoterScore(NPS)rose7%,andcustomersatisfactionrose10%.
02
AnalysisofChinese
enterprises’AIFitnessIndex
PwCGlobalAIPerformanceStudyChinaReportPwC14
Comparedwithmajorglobaleconomies,ChinamadeanearlierstartinAI
development,supportedbyconsistentandstronglyimplementedtop-level
industrialsupportpolicies.Domesticmarketplayershavedemonstrated
significantlyhigherenthusiasmforAIadoptionthantheglobalaverage,and
enterprisesactivelyallocatingresourcestodrivelarge-scaleAIdeploymenthasbecomeawidespreadtrend.Thishascreatedadual-drivendevelopment
patternofpolicyguidanceandindustrialpractice.
I.Chineseenterprisesrankintheglobaltop
tierforAIfitness
ChineseenterprisesrankintheglobaltoptierforAIfitness.TheiroverallAIfitnessnotonlyexceedstheglobalaveragebutalsoslightlysurpassesthatofAIleadersincertaincapabilities.Intermsof
capabilitystructure,ChineseenterprisesexhibitadistinctivepatternwhereAIuseisstrongerthanAIfoundations,withAIuseperformancemarginallybetterthanthatofAIleadersandAIfoundationsonparwiththem.Cross-sectorconvergenceapplicationsrepresentChineseenterprises’greatestareaofstrength,whilegovernanceandriskmanagementareclearweaknesses.
AIfitnessofChineseenterprises
Averagescoresoutof10,multiplereflectsAIleaderscorevs.Chinaaveragescore
Allothers
China
AIFitnessIndexscores
5.2
6.9
6.8
AIfoundationsscores
AIusescores
5
7.2
7.1
5.4
6.9
6.9
0.99x
0.99x
1.00x
AIleaders
PwCGlobalAIPerformanceStudyChinaReportPwC15
Q.Towhatextenthasyourcompany’sfullAlportfolioimprovedthefollowingoutcomes?
(Showingonly“Toaverylargeextent”and“Toalargeextent”responses)
20%40%60%80%
20%
56%
49%
19%
53%
60%
23%
59%
62%
21%
52%
55%
27%
66%
65%
26%
62%
59%
25%
58%
65%
27%
60%
70%
28%
56%
62%
34%
64%
65%
33%
62%
62%
41%
65%
65%
0%
Increasednumberofdecisionsmadewithouthumanintervention
Reducedenergyuseand/orreducedwaste
Transformedbusinessmodel
Fasterspeed-to-marketfornewproducts/services
Transformedoperatingmodel
Createdneworenhancedproducts/services
Reducedrisk
Improvedorganisationalagility
Improvedcompliance
Higherqualityofdecision-making
Improvedcustomerexperience,satisfaction,ortrust
Improvedemployeeproductivity
2.8x
2.8x
2.6x
2.5x
2.4x
2.4x
2.3x
2.2x
2x
1.9x
1.9x
1.6x
AllothersuAIleadersChina申Multiple
ű
Chineseenterpriseshavefirmlyestablished
themselvesasgloballeadersinAIdevelopment.OurAIFitnessIndexrevealsthattheirperformance
slightlyedgesoutotherleadingcountriesandregionsglobally,withacompetitiveadvantagethatiseven
morepronouncedinAIapplicationthanin
infrastructure.Intermsofinnovation,Chinese
companiesmaintainhighlevelsofinvestmentinexperimentalinitiatives,ecosystemenvironments,andhumanresources—evensurpassingglobalAIleadersanddemonstratingstronggrowth
momentum.
CharlesLee
ViceChairandManagingPartner,PwCChina
PwCGlobalAIPerformanceStudyChinaReportPwC17
II.AIuse:outstandingperformance,with
growth-orientedapplicationsandscaling
exceedingglobalbenchmarks;autonomousandself-optimisingcapabilitiesstillrequirefurtherimprovement
ThisglobalstudyshowsthatthecoredifferencebetweenAIleadersandothercompaniesliesin
applicationorientation:mostcompaniesuseAIprimarilytoimproveefficiencyinexistingoperations,
whereasAIleaderstreatAIasanengineforbusinessgrowthandmodelreinvention.AIleadersare2.6
timesmorelikelythanotherstouseAItotransformbusinessmodelsand1.8timesmorelikelytouseAItoidentifyemergingcross-sectorvaluepools—particularlythoseinvolvingcustomer-centric,multi-industry
productandservicecombinations.Asindustryconvergenceaddressestheseneeds,companiesthatreshapetheirbusinessmodelswillcapturegreaterreturns.Chineseenterprisesdemonstrateacleargrowth-orientedapproachtoAIuse,approachingorevenexceedingthelevelofAIleaders.
01.Breadthanddepth:Highvalue-chaincoverage,leadingglobally
TheglobalresearchindicatesthatAIleadersapplyAIacrosstheentirevaluechainat
approximatelytwicethelevelofothercompanies,enablingsynergisticvalueamplificationacrossmultiplestages.ChineseenterprisesmatchAIleadersinoverallvalue-chaincoverageofAI
applicationsandhavealreadysurpassedthemindemandgenerationandsupportservices.
TheirdepthofAIdeploymentranksintheglobaltoptier,graduallymovingbeyondthe
fragmented,pilot-onlypatternseenamongmostcompanieswhereAIisconcentratedinafewdepartments.
Q.TowhatextentisAIbeingappliedinyourorganisationineachofthefollowingfunctions?(Breadth:valuechainareastowhichAIisbeingapplied;anddepth:barheight,proportionofrespondentswho’vescaledorembeddedinvaluechaincomponent)
50%
42%40%44%44%40%
23%25%22%22%
Demandgeneration
(e.g.,
marketing/sales)
1.8x1.8x2.0x1.9x
Directionsetting(e.g.,corporatestrategy,R&D)
AllothersAIleadersChinaMultiple
Demandfulfilment(e.g.,
supplychainops)
60%
50%
40%
30%
20%
10%
0%
Supportservices
(e.g.,finance,IT,HR)
48%
41%
PwCGlobalAIPerformanceStudyChinaReportPwC18
02.Sophistication:Leadinginhigh-levelapplications,butautonomousand
self-optimisingcapabilitiesstillhaveroomtoimprove
InpracticalAIdeployment,Chineseenterprisesdisplayatypicalpatternofstrongexecution,
weakerdecision-making,andlimitedautonomy.Thisreflectsthat,whileChineseAIapplicationsarerollingoutquicklyandbroadly,furtherimprovementisstillrequiredinautonomyand
intelligencelevels.ChineseenterprisesslightlyoutperformAIleadersinmulti-taskexecution,
highlightingtheirstrongexecutioncapabilitiesandscaleadvantagesinprocessautomationandreplacementofstandardisedoperations.
However,inthe“autonomousandself-optimising”category—whichrepresentstrueautonomousintelligence—Chineseenterprisesstandatonly7%,lowerthanothercompanies(8%)andlessthanhalfthelevelofAIleaders(15%).Atthesametime,Chineseenterprisesshowarelativelyhighproportionofgenerativeusecasessuchas“assists,summarisesanddrafts”,indicating
thatAIcurrentlyfunctionsmoreasanassistanttohumansratherthanevolvingintoatruly
autonomousand“brain-replacing”intelligenten
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