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9October2026
AIinChina
FromAIinvestmenttoadoption
China'sAIpushisshiftingfromambitiontoexecution.
Investmentsupport,andlimitedinfrastructureand
regulatoryconstraints,aswellasearlysignalsofadoption,SustainableInvestingResearch
DaveDai,CFA(i)
aredrivingvariedeconomiceffectsongrowth,FXandcredit.+85229032655
dave.dai@
WhatChinaaimstoachieve:China'sAIstrategyreflectsanationaldrivefortechnologicalBarclaysBank,HongKong
leadership,withpolicymakerstargetingAIadoptionacrossmorethan100industriesanda90%ThematicInvesting
penetrationrateby2030.Thestrategyissupportedbyopen-modeleconomicsandarapid
HannahGreenberg
buildoutofpublicandprivateAIinfrastructure.Whilemacroevidenceremainsfragmented,we+12125262457
seesignsofAIadoption,ledbymanufacturingandICT,especiallyamonglargercorporates.hannah.greenberg@
BCI,US
Sustainability:nomajorconstraints:Sustainability-relatedfactorsaresettosupport,not
constrain,China'sAIexpansion.Adequatepower,fuelsupply,permittingandsparecapacityWilliamThompson
+12125268641
shouldenablefurtherAIinfrastructureexpansion,whilewaterstressremainsalocalizedissue.
william.s.thompson@
Onadoption,policyprioritiesareshiftingtowardworkforcereskillingandAIcontentBCI,US
governance.Bycontrast,ourthematicanalysisoftheUSsuggestsashiftfromAI
experimentationtowardexecutionandROI,alongsideaconvergenceofsupply-sideconstraintsCreditResearch
(eg,power,labor,permitting,andlocalopposition).RoannaChau(i)
+85229032625
Credit:commercialisationandfunding:Atthesectorlevel,ChinaTMTsarenotonlyinvestingroanna.chau@
butbeginningtoshowclearercommercialbenefits,mostdirectlyreportedbyAlibaba,Baidu,BarclaysBank,HongKong
Tencent,KuaishouandLenovo.Meanwhile,morefundingisneededforinfrastructure-led
ChinaEconomicsResearch
platforms,accordinglytoourliquiditywalks,andcouldbecomemorecomplexascomputeYingkeZhou(ii)
demandexpandsandasChineseTMTcompaniesextendbeyonddomesticprocurementinto+85229032653
overseasdatacentresandGPUcapacity.yingke.zhou@
BarclaysBank,HongKong
YingZhang(ii)
+85229032652
Thisdocumentisintendedforinstitutionalinvestorsandisnotsubjecttoalloftheying.zhang3@
independenceanddisclosurestandardsapplicabletodebtresearchreportspreparedforretailBarclaysBank,HongKong
investorsunderU.S.FINRARule2242.Barclaystradesthesecuritiescoveredinthisreportforits
ownaccountandonadiscretionarybasisonbehalfofcertainclients.SuchtradinginterestsFX&EMMacroStrategy
(i)
maybecontrarytotherecommendationsofferedinthisreport.MitulKotecha
BarclaysCapitalInc.and/oroneofitsaffiliatesdoesandseekstodobusinesswithcompanies+6563085439
coveredinitsresearchreports.Asaresult,investorsshouldbeawarethatthefirmmayhaveamitul.kotecha@
conflictofinterestthatcouldaffecttheobjectivityofthisreport.InvestorsshouldconsiderthisBarclaysBank,Singapore
reportasonlyasinglefactorinmakingtheirinvestmentdecision.
(i)ThisauthorisadebtresearchanalystintheFixedIncome,CurrenciesandCommodities
Researchdepartmentandisneitheranequityresearchanalystnorsubjecttoallofthe
independenceanddisclosurestandardsapplicabletoanalystswhoproducedebtresearch
reportsunderU.S.FINRARule2242.
(ii)ThisauthorisamemberoftheFixedIncome,CurrenciesandCommoditiesResearch
departmentandisnotanequityordebtresearchanalyst.
FORANALYSTCERTIFICATION(S)PLEASESEEPAGE30.
FORIMPORTANTEQUITYRESEARCHDISCLOSURES,PLEASESEEPAGE30.
FORIMPORTANTFIXEDINCOMERESEARCHDISCLOSURES,PLEASESEEPAGE31.
Completed:08-Oct-26,11:28GMTReleased:08-Oct-26,23:30GMTRestricted-External
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Barclays|AIinChina
Macroeconomics:AI’smacroimpactcomesinseveralchannelsatdifferenthorizons.Whilethe
near-termcontributionislikelytobeledbyexportsandAIinfrastructurecapex,wethinkthe
longer-termcontributiontogrowthwillcomethroughhighertotalfactorproductivity,asfirms
useAItoimproveefficiencyacrossmanufacturingandservices.Ourotherobservationsarethat
themostinflationaryphaseofChina'sAI-relatedinfrastructurebuildoutislikelybehindusand
AIhasyettocreateenoughjobs,withdemandinsufficienttocounterthepropertydownturn
andautomation.
FX&rates:Giventhelimitednear-termgrowthimpactofAI-drivenproductivity,weseeFXand
ratesbeingdrivenmorebytheAIexportcyclethanbyproductivitygainsfromAI
adoption.China’sAIboomismoresupportiveoftheCNYthanitisbearishforCGBs.Forrates,AI
shouldkeepthePBoCaccommodativeandCGByieldsrelativelylow.Thestrongergrowth
impulseismorerelevantforCNYNDIRS,whereitreduceseasingexpectationsandleavesthe5y
sectormoreexposedthanthepolicy-anchoredfrontend.
UnderstandingChina'sAIroadmap
DaveDai,CFA(i)BarclaysBank,HongKong|YingkeZhou(ii)BarclaysBank,HongKong|
RoannaChau(i)BarclaysBank,HongKong
China’sstate-ledAIpushaimsforbroadeconomy-wideadoption,butprogressreporting
remainsuneven.Tohelpinvestorsgaugethepaceofdeployment,wemapreportedadoption
trendsagainstkeyindustryindicators.
China'sAIroadmap:Cleartargetsandwideindustrycoverage
China'sofficialpromotionofartificialintelligencedatesbacktoitsfirstpolicyin2016linkingAI
withInternet+1.InMarch2024,AI+developmentwasincludedingovernmentannualbudget
reportforthefirsttime.AndinAugust2025,ChinafurtheredtheAIadoptiondetailswithrelease
ofthe"AI+ActionPlans",aneconomy-wideAIadoptionprogram,withexplicitpenetration
targetssetfor"newintelligentterminalsandagents–70%by2027thento90%by2030.Six
prioritiesarealsotargeted,includingscience&technology,industry,consumption,
livelihood,governanceandglobalcooperation.Theplanwasformallyincorporatedintothe
nationaldevelopmentplansofthe15thFive-YearPlan(2026-2030),inMarch2026.
Followingthenationalplans,numerousgovernmentagencies(eg,MIIT,MOFCOM,NEA)have
publishedopinionsoneachoftheprioritiesorsub-areas.Forexample,forindustryand
consumptionalone,wehavefoundnineindustrygroupsand>100targetedsectorsor
businessactivities(seeAppendix).Notably,notallthesectorscomewithnumericaltargets
andmanyarementionedinpolicydocumentsascasestudiesandpotentialscenarios.
AImodels:improvingopennessandcostadvantages
WhileChinadoesnotexplicitlydiscourageclosed-sourcemodels,theterm"openmodel"
appearsninetimesintheAI+ActionPlan,particularlyundertheAI+GlobalCooperation
pillar.Bycontrast,referencestoclosed.sourcemodelsarelargelyabsentfrombothnational
andindustry-levelpolicydocuments.
Coupledwiththegovernment'spromotionofopenmodels,wealsoobservegrowing
"openness"inthelatestmodellaunchesacrossanumberofdevelopers.Since2024,many
developershaveshiftedtoApache2.0orMITlicenses,whichallowweightdownload,fine-
tuning,commercialusage,modificationandself-service.
1“Internet+andArtificialIntelligenceThree-YearActionandImplementationPlan“,NationalDevelopmentandReform
Commission,MinistryofScienceandTechnology,MinistryofIndustryandInformationTechnology,Cyberspace
AdministrationofChina,May2016
9October20262
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AclearinflectionpointcamewithDeepSeekR1,whichcombinedfrontier-levelperformance
withfullyopenweightsunderanMITlicense.Shortlythereafter,MoonshotAImadeadramatic
shiftinstrategy,releasingKimiK2underamodifiedMITlicense2inJuly2025andmovingaway
fromitspreviousAPI-centricapproach.Baidu,afteryearsofadvocatingclosed-source
development,alsopivotedbyopen-sourcingtheentireERNIE4.5modelfamilyunderApache
2.0inearly2025.
FIGURE1.More"open"licensingforChinesemodels
Developer2023202420252026
DeepseekOpenweightsOpenweightsMITMIT
KimiClosedClosedModifiedMITModifiedMIT
AlibabaCustomMixedApacheApache
ZhipuAIOpenOpenMITMIT
BaiduClosedClosedApacheApache
TencentClosedCommunityCommunityApache
Source:Companydata,BarclaysResearch
Chinesemodelscontinuedtomakerapidgainsinperformancealongsidegreateropenness.
ArtificialAnalysisdata(Figure2)showsthatmodelsreleasedin3Q2026postedanaverage
intelligencescoreof40,ledbyXiaomi’sMiMo-V2.6-Pro(46)andZ.AI’sGLM-5.3(45).Thismarksa
sharpimprovementfromtheaveragescoreof29formodelsreleasedin3Q2025and15forthose
launchedayearearlier.
FIGURE2.IntelligenceofChinesemodelscontinuedtoimprove
50
45
40
35
30
25
20
15
10
5
0
3Q244Q241Q252Q253Q254Q251Q262Q263Q26
Source:ArtificialAnalysis,BarclaysResearch
WhileleadingUSfrontiermodelsstillscorehigheronintelligencebenchmarks,withClaude
Fable5.1reaching53,manyChinesemodels(showninamber)offercomparableperformanceat
significantlylowercost(Figure3).ThiscostadvantagecouldaccelerateAIadoptionacross
China.
2Kimi'smodifiedMIT:Ifacompanyorproductexceedscertainscalethresholds(reportedasmorethan100million
monthlyactiveusersormorethanUS$20millioninmonthlyrevenue),itmustprominentlydisplayattributionto
Kimiinitsproduct.Insimpleterms,largecompaniescannotusethemodelinvisibly;theymustacknowledgethatKimi
technologyisbeingused.
9October20263
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FIGURE3.IntelligenceIndexvs.Costpertask
60
ClaudeFable5.1(maxwith
MuseSpark1.3(max)
MiMo-V2.6-ProGPT-6Astra(max)fallback)
50GPT-5.6Sol(max)
Step5PreviewClaudeFable5.1(max)
GLM-5.3Grok4.7(xhigh)
KimiK3(max)
GLM-5.3-FlashGPT-5.6Terra(max)Qwen3.8Max(0902)
40Grok4.6(high)
GPT-5.6Luna(max)
DeepSeekV4.1Flash(max)DeepSeekV4Pro0813(max)Gemini3.8Flash(high)
30
MiniMax-M3InklingQwen3.827B(xhigh)
Nemotron3Ultra
20
Gemini3.5Flash-Lite
MuseGlimmer(high)
10MistralMedium3.5
gpt-oss-120b(high)
0
012345678
Amber=ChinesemodelsY-axis=IntelligenceIndex(higher,better);X-axis=USDpertask(lower,better)
Source:ArtificialAnalysis,BarclaysResearch
Industrysize:TheCNY10trnAItarget
TheChinaAcademyofInformationandCommunicationsTechnology(CAICT)quantifiedthe
scaleofcoreAIindustryatCNY1.2trn(orUSD174billion)in2025,recording40%y/ygrowth.
Andby2030,thetargetexpectsanear10-foldrisetoCNY10trnby20303,ora53%CAGRover
2026-2030.Notethatthisfigurecanbeunderstoodasvalue-addedrevenuewithoutspecifying
thetypeofAI(seetheMacroeconomicsectionforthedetailedanalysisandmacro
implications).
Capital:TheCNY2trndatacentreinvestmenttosupportcomputecapacity
ThesecondindicatorisBeijing’spushtorampupdata-centreinvestmentoverthenextfive
years.AsthephysicalbackboneofAIcomputing,datacentresofferinvestorsacleargaugeof
computingcapacity,capitaldeploymentandinfrastructurereadiness.Accordingtopress
reports,ChinaisdraftingaCNY2trnnationwidedata-centreinvestmentprogram.Theplan
couldalsomandatethat80%ofprocurementbesourceddomestically,includingAIchips4.
Itisunclearifthisamountwillbesolelyallocatedtodatacentres,butasimpleestimate
assumingacostofCNY40mn/MWsuggestsanother50GWofdatacentrecapacityissettobe
built.ThissupportssomeofthemarketforecastssuchasBNEF's45.5GWoperatingcapacityby
2030(Figure4).
3"China'sAI-relatedindustriestotop10trlnyuanby2030:official",theSupremePeople'sProcuratorateofthePRC,6
March2026
4"ChinapreparestwotrillionyuanplantofundnationwideAIbuild-out",9June2026,theBusinessTimes
9October20264
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Barclays|AIinChina
FIGURE4.China'sdatacentrecapacitymaymorethandoubleFIGURE5.Statusofdatacentrecapacities
reaching45GWindataby2030
MWMW
50,00045,000
39,857
40,00040,000
35,000
30,000
30,000
20,000
25,00020,600
10,00020,000
15,000
08,066
10,0006,373
202020212022202320242025202620272028202920304,818
5,000
YangtzeRiverDeltaBeijing-Tianjin-Hebei
GreaterBayAreaNorthandNorthwest0
EarlystageTotal
SouthwestRestofChinaLiveUnderCommitted
construction
Source:BNEF,BarclaysResearchSource:BNEF,BarclaysResearch
Adoptionrate:ManufacturingandICTadoptionlikelyahead
Whilecleargovernmenttargets,theexplicitgoalofreaching70%penetrationby2027and
90%penetrationby2030arenotclearlydefinedgiventhelackofdetailsregarding
"penetration","agent"and"intelligentterminals".
Officialdatashowpenetrationsurpassed30%amongmanufacturerswithannualrevenue
aboveCNY20mnbyend-20255.Fornon-manufacturing,earlierdataindicateadoptionratesof
13%inretail,10%intelecommunicationsand7%inhealthcare6.Gartnerestimatesjust5%of
ChineseenterpriseshadAIinproductionin2025,butexpectsthefiguretorisesharplyto50%
by20277.
Togainfurtherinsightontheadoptionrates,ouranalysisidentifiedover500largeChinese
companieswithnearly17,000mentionsofAIinfilingsorpublicdisclosures,ledbysoftwareand
manufacturingsub-sectors(Figure6).Whengroupedaccordingtotheninebroadsectorsunder
theChina'sAI+ActionPlans(Figure7),manufacturingdominateswitha62%share,aheadof
ICT(19%)andcommercialservices(14%).Incomparison,basedonthesameexercisetracking
UScompanies'filings,thefindingpointstosimilardominancebythesoftwaresector,but
followedbymanyservicessectorssuchasfinancial,ITandprofessionalservices(Figure8).
5"China'scoreAIindustryscaletops1.2trlnyuanin2025:official",Xinhua,3March2026
6“China'sAIcomputingpowerdevelopmentisbooming,anditisbecominganewdrivingforceforthedevelopmentofthe
digitaleconomy”,CCTVC,14December2023
7"GlobalCompaniestoAdoptChineseAIat50%Rateby2027",theChosunDaily,9August2026
9October20265
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Barclays|AIinChina
FIGURE6.ChinesecompaniesmentioningAIarelargelysoftwareandFIGURE7.…intheformatofChina'sAI+classifications,
manufacturing…manufacturingandICTleadinadoption
Goods
EntertainmentRobots
3%Services
0%
CommunicationsEquipment0%
CapitalMarkets
AgricultureCommercial
InteractiveMedia&Services
0%15%
DiversifiedConsumerServices
ElectricalEquipmentTransport
1%ICT
Semiconductors&18%Manufacturing
Machinery62%
ElectronicEquipment,…
Energy
Software
1%
0%5%10%15%20%
ContributionofAImentionedintotalcompanyfilingsContributionofAImentionedincompanyfilings
Source:AlphaSense,BarclaysResearchSource:AlphaSense,BarclaysResearch
InvestorsshouldnotethatthisdatasetrepresentsonlyafractionofChina'smorethan55mn
registeredprivateenterprises8,suggestingAIadoptionremainsskewedtowardlargerfirms.A
recentWorldBankandPekingUniversitystudy,basedonjob-postinganalysis,foundAI
penetrationreached58%amonglistedcompaniesand21%forgenerativeAI,comparedwith
just2.3%and0.2%,respectively,amongnon-listedfirms9.
FIGURE8.UnlikeChina,UScompaniesmentioningAIaremoreFIGURE9.Adoptionrates:listedvsnon.listedChinesefirms
softwareandservicesthanmanufacturing
Biotechnology70%
DiversifiedConsumerServices60%
HealthCareTechnology
50%
CommercialServices&Supplies
40%
InteractiveMedia&Services
Semic
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