2026年构建AI主权促进AI普惠 AI Sovereignty For an Inclusive Intelligent Society (节选)

26WP091405

AISovereigntyForan

InclusiveIntelligentSociety

POLICYPOSITIONPAPER

CONTENTS

01AISovereignty:ANewSovereigntyintheAge

DimensionofNationalofArtificialIntelligence

1.1ConceptandDefinitionofAISovereignty 8-11

1.2CoreElementsofAISovereignty 12-18

1.3TheNecessityandStrategicValueofAI 19-20

Sovereignty

02EstablishingGlobalConsensus:RightsandPathways

TowardAISovereigntyforAllNations

2.1AISDI(AISovereigntyDevelopmentIndex)

Framework

2.2GlobalLandscapeofAISovereigntyDevelopment

………

23

CONTENTS

03

StrategicActionFramework:SixStrategicPillarsfor

BuildingAISovereignty

3.1BuildingtheStakeholderSystemforAISovereignty:GovernmentLeadershipandIndustryEnablement

3.2PillarOne:EstablishinganIndependentandSustainableEnergyFoundation

……

26

3.3PillarTwo:BuildingGloballyCompetitiveComputingInfrastructure

……

27

3.4PillarThree:DevelopingSecureandTrustedDataEcosystems

3.5PillarFour:AdvancingAutonomousAIModelCapabilities

……

………

28

29

3.6PillarFive:AcceleratingAIApplicationEcosystemsandIndustrialAdoption

3.7PillarSix:StrengtheningSustainableGovernanceandTalentFoundations

………

30

04AssessingDevelopmentStages:Tailored

ImplementationPathwaysBasedonNational

Conditions

4.1CaseStudyMethodology:FromMaturityAssessmenttoNationalImplementation

Pathways

34-93

4.2CountryProfilesandDevelopmentPathwayAnalysis

CONTENTS

05nceandSustainable

5.1IdentificationandAssessmentofKeyRisksinAISovereigntyDevelopment

……

95

5.2SystematicRiskManagementFrameworkandResponseStrategies

………

96

5.3BuildingaSustainableGlobalAIEcosystem

………

97

06ConclusionandFutureOutlook

6.1TowardGlobalAISovereignty:SharedChallengesandOpportunities

6.2FromIndependentCapabilityBuildingtoanEraof“AIEquity”

6.1TowardGlobalAISovereignty:SharedChallengesandOpportunities

………

……

100

101

andPerceptionofAISovereignty

ConceptandConnotationofAISovereignty—AcademicUnderstanding

Keyfindings:AcademicdiscussionsonAIsovereigntyhaveundergoneaparadigmshiftfromnormative

advocacytocriticaldeconstruction.ItisemphasizedthatAIsovereigntyisneitherafullyachievablestaticpossessionnorautopiathatshouldbeabandoned.Instead,itisacountry'sgovernancecapacityto

dynamicallybalanceautonomyandcontrollabilitywithcollaborativeinnovationinopensystems.

WesternperspectiveGlobalSouthperspective

Powerregulationorientation

Developmentmomentumorientation

Itscoreistopreventtheuncontrolledconcentrationofpower.Itconsolidatesexistingadvantagesanddominancethroughruleexport,andrevolvesaround"howtoconstrainthepowerconcentrationandspilloverrisksbroughtbyAI."

Itscoreistobreakthroughstructuraldependence,addresstechnologicalinequality,andimproveautonomyandcontrollabilityinkeyareas.Itrevolvesaround"howtogaintechnologicaldominanceanddevelopmentspaceinanasymmetricsystem."

Underlyingacademicconsensus:AIsovereigntyisreflectedinacountry'sabilitytomaintainautonomousdecision-makingandstrategicchoiceinthedevelopmentandapplicationofAItechnology,ratherthanpassivelyrelyingonexternalforcesorasingletechnologysource.

AIsovereigntyisasetofstrategiesaimedatenhancingacountry's"independentdecision-makingcapacity"regardingthedeployment,use,andadoptionofkeyAIinfrastructure.Itscoreisnotliteraldecoupling,butratherachievingabalancebetweenmaintainingautonomyandglobalinterdependence.

(1)

BrookingsInstitutionandCentreforEuropeanPolicyStudies(CEPS)

IntheAIera,sovereigntyisnolongerabinarystatethatcanbegainedorlost.Instead,itisaformof"AgencyandChoice"—thatis,acountry'sabilitytomakeintentional,future-orienteddecisionsonhowtointegrate,govern,anduseAI.

(2)

TonyBlairInstituteforGlobalChange

AIsovereigntyisnotaboutisolationorself-seclusion.Itisabout"retainingtheabilitytochoose—andwhennecessaryreconfigure—itsowntechnologicaldependenciesbasedonnationalstrategicpriorities,ratherthanpassivelyacceptingexternallyimposeddependencies."

(3)

StanfordInstitutefor

Human-CenteredArtificialIntelligence(HAI)

AIsovereigntyisstate-ledAIgovernancepractice:domestically,itreliesonthe"supremacy"ofsovereigntytobalanceindustrialdevelopmentandsecurityrisks;externally,itleveragesthe"independence"ofsovereigntytopursuestrategicautonomyandinternationalinfluence.Thecross-bordermobilityoftechnologicalfactorsmakesAIsovereigntypursueopenstrategicautonomy.

CenterforGlobalAIInnovationandGovernance,FudanUniversity

(1)Tanner,B.,Kerry,C.F,Wyckoff,A.W.,Kyosovska,N.,Renda,A.,andTabassi,E.IsAISovereigntyPossible?BalancingAutonomyandInterdependence.BrookingsInstitution&CentreforEuropeanPolicyStudies(CEPS),17February2026.

(2)Song,H.etal.SovereigntyntheAgeofA:StrategicCoies,SructuralependenciesandtheLongGameAlead.TonyBlairInstuteforGlobalChange,19Januay2026.

(3)Pava,J.N,Meinhardt,C.Cryst,E.andLanday,J."AISovereigntysDefnitionalDilemma."StanfordHumanCenteredAI(HAT),17February2026.

(4)ZhangShuyanndChenZhimin,"TheRieofSsovereignArfifcilielieneinthloblSoutrandChinesCoperaiveRespone:"JournaofnterationaScurityStudies,NO.3,2026.

ThecoreelementsofAIsovereignty—thesix-elementcompositionofAIsovereignty.

Keyfinding:AIsovereigntyisnotasinglecapability,butasystemiccapabilitystructurecomposedof

multiplemutuallycoupledcapabilitymodules.Byintegratingindustrialchainlogicandthenationaldigitalcapabilitysystem,AIsovereigntycanbebrokendownintosixkeyelements:energy,compute,data,models,applications,anddevelopment.

thetop-levelenvironmentensuressystemstabilityandleadsdevelopmentpathandresourceallocation.

AIapplicationsovereignty

valuetransformation,andindustry

applicationresultsfeedbackto

dataandindustry

Bottomlayer:physic:

AIenergysovereignty

AIcomputesovereignty

foundationalcornerstone,

determiningthecomputefoundation

infrastructure,supportingmodeloperation

AImodelsovereignty

coreengine,drivingindustryevolution

AIdatasovereignty

datafoundation,determiningmodelquality

BuildingAIsovereigntydoesnotmeanisolation,butratherretainingthe"righttochoose."Itemphasizesachievingadynamicbalanceinanopenglobalsystemwhilemaintainingautonomy.

AIsovereigntyhasadevelopmentgradient

Thedevelopmentdegreesofthevariouselementsshowobviousgradients,typicallyevolvingstepbystepfrombasictoadvancedtomaturelevels.Itscorelogicisfromheavydependenceonexternalresourcesandtechnologytograduallyformingindependentconstructioncapabilitiesandsystematiccapabilities.

ThedevelopmentofAIsovereigntycanbeautonomouslychosen

AlthoughtheAIsovereigntysystemhasacertaindevelopmentallogicintermsoftechnicalstructure,countriescan,accordingtotheirownresourceendowmentsandindustrialconditions,autonomouslychoosethekeyelementsandpathsforprioritydevelopment,andthecoreliesinmaintainingtheautonomousrighttochooseinAItechnologyandecosystemdevelopment.

AIsovereigntyconsistsofsixelements

AIsovereigntyisnotasinglecapability,butasystematiccapabilitystructurecomposedofsixelements:AIenergysovereignty,AIcomputesovereignty,AIdatasovereignty,AImodelsovereignty,AIapplicationsovereignty,andAIdevelopmentsovereignty.Asawhole,itpresentsaprogressivearchitecturefrombasicresourcestotechnologicalcapabilitiestotheindustrialecosystem.

AISDI(AISovereigntyDevelopmentIndex)Framework

Keyfindings:AIsovereigntymaturityisdeterminedbysixelements:energy,compute,data,models,

applications,development.Theframeworkgroupsthemintothreetiers—foundational,intermediate,upper—forminganevaluativechainfrombasicsecurityassurancetotechconversionandruledominance.Itprovidescountriesastructuredreferencetoidentifytheirgapsandprioritizeconstructionpathways.

Step1IndicatorScoring:Foreachcountry,scoreandstandardisethe30coreindicatorsacrossthesixsovereigntydimensions(sixdimensions,fiveindicatorsperdimension),withamaximumscoreof100andequalweightingwithineachdimension.BenchmarktheresultsagainsttheBasic,Advanced,andMaturestandardstoderivethescoreforeachelement.

□Step2Three-TierWeighting:Aggregatethescoresofthesixelementsthroughtieredweightingacrossfoundationalresources(50%),intermediatetechnologies(30%),andupper-layergovernance(20%)toobtainthecountry'soverallAIsovereigntymaturityscore.

Description

ofthe

Assessment

Methodology

Upper-LayerGovernance(20%)internationalrule-making

AIDevelopmentSovereignty

Coreindicators:AItalentreservedensity,AIpublicinvestmentandincentiveintensity,nationalAIstrategymaturity,AIgovernanceandregulatorycompleteness,internationalAIcooperationparticipation.

Determinesstrategicresilienceandthevalueofparticipationin

IntermediateTechnologies(30%)Determinestechnologicalconversionandindustrialvalue

AIModelSovereignty

Coreindicators:Domesticmodelsupplycapability,

technicalperformanceoflocallyavailablemodels,

open-sourcemodelactivity,modelevaluationand

certificationsystem,outputofhigh-qualityAIpapers.

AIApplicationSovereignty

Coreindicators:EnterpriseAIadoptionrate,

governmentAIapplicationmaturity,AI

penetrationrateinkeyindustries,AIenterprise

ecosystemdensity,AIpatentgrants.

FoundationalResources(50%)DeterminesthefoundationalcarryingcapacityforAI

AIEnergySovereignty

Coreindicators:Percapitainstalled

powergenerationcapacity,powersupply

reliabilityforintelligentcomputing

centers,electricitycostcompetitiveness,

shareofrenewableenergyinpower

supply,netenergyimportdependency

AIComputeSovereignty

Coreindicators:High-performancecompute

capacity,computeresourceschedulingand

coordinationcapability,localcloud

infrastructureavailability,diversityof

technologysources,participationlevelinthe

computeindustrychain.

AIDataSovereignty

Coreindicators:Data

localizationpolicyintensity,

cross-borderdatagovernance

capability,publicdataopenness,

localhostingcapability,scaleof

domesticcorpusreserves.

Maturelevel

Basiclevel

Advancedlevel75-100pionts40-75pionts

havingstablegridinfrastructuremastering

Energyiiaiidr-a,iy

Compute

lackingself-builtAIcomputecenters,

relyingmainlyonpublicclouds,overseasclouds,orexternalcomputesupply,andhavingcomputeacquisitionconstrainedbyasinglesourceorexternalplatforms

havingestablishedfoundationalAIdatacenters,governmentclouds,orindustry

ptlyicna,tdilnlmeptuote

participatinginthedesignofcross-border

computeinffrastructure.andestablishinga

robustnationalcomputingsystemthat

supportstraining,inference,andcross-

domaincoordination

Data

havingfragmenteddata,lacking

systematicorganizationof

native-languagecorpora,relyingon

Englishinternetdata,andhaving

completedpreliminarydatacompliance

control

havingestablishedanationaldatafactor

eattl-process

buildinganationaldataresourcesystem,

rules

andleadingregionalorglobaldataflow

Model

relyingonfine-tuningofoverseas

open-sourcemodelsordirectlyinvoking

avcekriahca-bsioltonelfso,dation

modelsfromscratch

achievingdeeplocalfine-tuningof

nationalmodels,andcompletingthe

alignmentofmodelvalue'withindustry

developingworld-leadingnational

foundationmodels,andhavingglobaltechnologicalinfluence

Application

nasiiittihoshmigslgefntrated

standardizationandsimpleoperations,

uhileiibgeeirted

beginningtodeployprivateAI

capabilitiesandspecializedmodelsystemsinkeyindustriesandsectors,withverticalapplicationsemerging

ecosystem,andbecomingthefoundational

operatingsystemforsocietalfunctioning

achievingdeep,penetrationofAIinto

systems,buildinganAI-ledapplication

nationalcriticalinfrastructureandcore

Development

holdingthebottomlineofnotbeing

completelyhollowedoutbyexternal

techhologies,andbeingabletopassivelychooseadaptedAIapplicationpaths

accordingtonationalconditions

masteringtherighttoplancoretechnology

nahess,iateonntonoduilanlceiandginegnvtinment,and

achievingindependentdevelopmentin

lifelinesectors

havingdiscoursepower,exporting

technōlogicalpathsandculturalvalues,andformingatalenthub

8

ZTop-levelGovernance

100

75

40

10

0

GlobalLandscapeofAISovereigntyDevelopment

Keyfindings:TheAIsovereigntymaturityofassessedcountriesshowscleartiereddifferentiation:Germanyleadsacrossallthreedimensions;SaudiArabia,Brazil,andTurkeyformthesecondtier;VietnamandEgypt,inthethirdtier,stillneedtostrengthenalldimensions.

AssessmentCoverage:ThisframeworkhasbeenappliedtocomputeAISDIscoresforall195countriesworldwide;thesix-dimensionsub-scoresandoverallnationalratingsforeachcountryaresetoutinAppendicesA1–A5.Thispageexaminessixrepresentativecountriestoillustratethematuritytiers.

AISDI(AISovereigntyDevelopmentIndex)Results

•Sphereposition:X-axiscorrespondstotheaveragescoreoffoundationalresources|Y-axiscorrespondstotheaveragescoreofintermediatetechnologies|Z-axiscorrespondstotheaveragescoreofupper-layergovernance

•Spheresize:overallAIsovereigntyscore

SaudiArabiaTurkey

Brazil

Vietnam

Egypt

Germany

YMid-levelTechnology

75

40

0

XUnderlyingResources

4075100

ThedottedlinescorrespondtotheXY,XZandYZcoordinateplanesrespectively;thepositionofthecentreofthesphereiscalculateddirectlyfromtheX,YandZvaluesgiveninthetable.

•Ballposition：

TheX-axiscorrespondstotheequitabledistributionofunderlyingresources

TheY-axiscorrespondstotheequitabledistributionofintermediate-leveltechnologies

TheZ-axiscorrespondstotheequitabledistributionofupper-levelgovernance

•Spheresize:TotalAIsovereigntyscore

Mature(75–100marks)

Germany（76.60）

Advancing(40–75marks)

Vietnam（46.27）、Turkey（54.34）、SaudiArabia（63.65）、Brazil（64.18）

Egypt（37.11）

Basic(0–40marks)

Nation

X-axis

Foundational

ResourceCapacity

Y-axis

Intermediate

TechnologyCapacity

Z-axis

Upper-Layer

GovernanceCapacity

OverallScore

Germany

73.87

78.10

81.20

76.60

SaudiArabia

63.40

58.90

71.40

63.65

Brazil

62.67

63.50

69.00

64.18

Turkey

53.33

46.10

69.20

54.34

Vietnam

42.93

44.00

58.00

46.27

Egypt

32.47

37.60

48.00

37.11

CaseStudyMethodology:FromMaturityAssessmenttoCountry-SpecificActionablePathways

Keyfindings:Chapter4shiftsfromwhethertohowtobuildAIsovereignty.ItusesChapter2's

six-dimension×three-tiermaturityscoringtopositioncountries,andleveragesChapter3'ssixstrategicinitiativesand116-itemtoolkittogenerateactionpackages.Followingtheno-one-size-fits-allprinciple,itidentifieseachcountry'sstrongestleverageandgaps,deliveringactionableprioritylistsfor13countries.

9

OverallResearchLogic

MeasureMatching

Usingthesix-dimension×three-tierassessmentframeworkfromChapter2toscoreeachcountry,identifyingitsstructuralpositionsandgapsacrossthethreedimensionsoffoundationalresources,intermediatetechnologies,andupper-layergovernance.

Assessmentaddresses"whatstage,"thetoolkitaddresses"whattodo,"andcountry-specificadaptationaddresses"theprioritisationandphasingofactions."

Basedoneachcountry'sresourceendowments,industrialstructure,andregionalpositioning,selecting,prioritising,andphasingthetools,andtranslatingthemintoaphasedactionroadmapcoveringtheshort,medium,andlongterm.

TakingthesixstrategicinitiativesfromChapter3astheoutlineandthe116-itemnationalactiontoolkitintheappendixasthesupportingcatalogue,matchingthepolicytoolsetscallableaccordingtothecountry'stierlevel.

Country-SpecificAdaptation

AssessmentPositioning

CountrySampleSelection

SampleSelection:Selects6representativeeconomies—Brazil,SaudiArabia,Germany,Turkey,Vietnam,andEgypt.

SelectionRationale:Guidedbythecoreprinciplesofmulti-dimensionalrepresentation,tier-wide

coverage,andcross-mechanismbenchmarking,theselectionbalancesfourkeydimensions:geographiclocation,maturitytier,resourceendowment,anddevelopmentmodel.Coveringtypicalpathwayssuchasresource-drivengrowth,industrial/manufacturingtransformation,geopoliticalhubs,andemergingdigitalfrontrunners,thissamplesystematicallydeconstructshowAIsovereigntyevolvesacrossdistinctnationalcontexts,extractingtailoredbreakthroughparadigmscenteredonlocalizedadaptationanddifferentiatedcompetitiveadvantage.

CountryProfileAnalyticalFramework

3

4

5

MacroProfileand

1OverallMaturity

2Inrt

Characteristics

Score

Basicnationalconditions,

regionalpositioning,andAIsovereigntymaturity

Industrialcomposition,

pillarindustries,and

high-valuescenariosthat

cansupportAIdeployment

Upper-LayerGovernance

AIdevelopmentstrategy,regulatoryframework,

andinternational

cooperationlandscape

Intermediate

Technologies

Currentstateof

developmentinAImodelsandAIapplicationsinkeyindustries

BasicLevel(0–40points)AdvancedLevel(40–75points)MatureLevel(75–100points)

Transitionfrom

Basicto

Advancedlevel

TransitionfromAdvancedtoMaturelevel

Mediumstage

Maturity

deepeningstage

Initialstage

Mediumstage

Initialstage

Mediumstage

Initialstage

CompositionoftheCountryProfile

Foundational

Resources

CurrentstateofdevelopmentoffoundationalAI

elements—energy,compute,anddata

AISDI（AISovereigntyDevelopmentIndex）TierClassification

NationalPathwayGeneration

ProfilePositioning

Anchorthe

country'stierlevel

andidentify

structuralgaps

ToolSelection

Matchthecallable

actiontoolkit

accordingtotierlevel

PhasingConfiguration

DynamicAdaptation

Combineendowment-based

prioritisationanditerative

optimisationtotranslate

intoathree-phase

pathway

Arrangeimplementation

scopeandstakeholders

withreferencetoboth

internalandexternal

dimensions

10

MajorRiskIdentificationandAssessmentforAISovereigntyConstruction

OperationalandExecutionRisks

·Capabilitygap:Insufficientlocaltechnical,management,and

operationandmaintenance

capabilitiesleadtolowutilizationoroperationaldisruptionofAI

infrastructureaftercompletion.Projectcoordinationfailure:

Cross-departmentalandcross-regionalAIsovereigntyprojectsadvanceslowlyorfaildueto

unclearinterestsorambiguousresponsibilities.

Financialand

CommercialRisks

·Longinvestmentreturncycle:Heavy-assetinvestmentssuchascomputinginfrastructureare

enormous,whilecommercial

applicationsandrevenuetaketimetocultivate,leadingtofiscal

pressure.

Demanduncertainty:Overly

optimisticmarketdemand

forecastsforlocalAIservicesleadtoidleresources.

StrategicandGeopoliticalRisks

·Technologicalblockade:supplycut-

offsofkeychips/software,cuttingoff

accesstohigh-endcomputingcapacity.Ecosystembarriers:standardslike

CUDAcreatesoftmigrationbarriers.

Datacontrol:externalactorsgain

intelligenceadvantagesthroughdata.

Pathdependenceandlock-in:carelessinitialtech/partnerchoicesleadtosingle-supplierlock-in,losingbargainingpowerandflexibility.

Technicaland

ArchitecturalRisks

Technologyiterationrisk:AI

hardwareandsoftwareiteraterapidly,andlarge-scaleinvestmentsmayfaceobsolescenceinashortperiod.

Heterogeneousintegration

complexity:integrating,scheduling,managingdiversechipsandmulti-techstacksiscomplex,affectingsystem

stabilityandefficiency.

ComplianceandSecurity

Risks

Data/algorithmsecurity:cyberattacksduringdataaggregation/model

developmentcauseleaksortampering.Ethical/regulatoryconflicts:domesticAIrulesconflictwithinternational

normsorpartnerrules,hinderingcross-bordercooperation.

KeyRiskAssessmentRecommendations

RiskCategories

AssessmentDimensions

Strategicand

Refertoexternalintelligencesuchasinternationalrelationsdynamics,exportcontrol

GeopoliticalRisks

lists,andtechnologydecouplingtrends

Operationaland

Throughorganizationalcapabilityaudits,talentreservesurveys,andproject

ExecutionRisks

managementmaturityassessments

Technicaland

Analyzethetechnologylifecycle,open-sourceecosystemactivity,andhardware

ArchitecturalRisks

compatibilitytestresults

Financialand

EstablishfinancialmodelstocalculateIRR,NPV,andbreak-evenpoints,andconduct

CommercialRisks

marketresearchtoverifydemand

Complianceand

ConductagapanalysisagainstregulatoryrequirementssuchasGDPR,China'sData

SecurityRisks

SecurityLaw,andtheMeasuresfortheAdministrationofGenerativeAI

CorePathwaystoAchievingSustainableDevelopment

Keyfindings:TheultimatepurposeofAIsovereigntyconstructionissustainability,whichdependsonwhetheritcanbetransformedfromstrategicinvestmentintoaniterableandmeasurablecoredriverofeconomicdevelopment.

AIsovereigntyconstructiontypicallyfeatureshighupfrontinvestment,longreturncycles,andstrongpublicgoodcharacteristics.Ifthegoalisconfinedmerelyto"buildingcomputingpower,buildingplatforms,andbuildingmodels,"itiseasytofallintothefiscalpressureof"prioritizingconstructionoveroperation,"leavingsovereigncapabilitiesstuckasa"costcenter"reliantonpublicfundingforanextendedperiod.TrulysustainableAIsovereigntyisnotmerelypossessingtechnologicalassets,butrathertransformingfoundationalAIcapabilitiesintonationaldevelopmentmomentumthatcanbeiteratedupon,quantitativelyevaluated,andscaledupfordiffusion.Thekeytosolvingthisproblemliesinestablishingavalueclosed-loopmindsetattheearlystageofprojectdesign,sothatstrategicinvestmentcancontinuouslygeneratepublicvalue,industrialvalue,andinnovationvalue,whilegraduallydevelopingaself-sustainingcapacity.

Specifically,thesustainablepathwayrequirespromotingapositivecyclebetweenAIsovereigntyconstructionandimprovementsinpeople'slivelihoods,industrialupgrading,andinnovationincubation.Intheshortterm,thefocusshouldbeonsmartgovernmentaffairsandpublicservices,deliveringvaluethroughefficiencygainsandserviceoptimization.Inthemediumterm,industryAIplatformsshouldbeleveragedtosupportthedigitaltransformationofsmallandmedium-sizedenterprises,drivingindustrialupgradingandemploymentgrowth.Inthelongterm,indigenousinnovationecosystemsandindustrialclustersshouldbecultivated,formingavirtuousinteractionamongtechnology,capital,talent,andmarkets.Therefore,whenmeasuringtheeffectivenessofAIsovereigntyconstruction,oneshouldnotonlylookatthescaleofcomputingpowerormodelparameters,butalsoexaminewhetheritpossessesfinancialsustainabilityandcontinuestocreateeconomicandsocialvalue,trulybecominga"valueengine"forenhancingnationalcompetitiveness.

CorePathwaysforAchievingSustainableDevelopmentinAISovereignty

TransformingAISovereigntyfrom

"NationalCapacity"to"Innovation

EconomicEngine"

·Corelogic:Withimprovedcompute,data,models,talent,governance,embedAIintomanufacturing,finance,publicservices,cross-bordertrade,regionalcooperation,creatingaspilloverinnovationsystem.

Valueoutput:BoostAIserviceexports,regionalinfluence,innovation-drivengrowth,makingAIakeynationalcompetitivenesspillar.

Generate

ecosystem

spillovers

Amplify

industrial

value

·Corelogic:EmbednationalAIintokeyindustriesandhigh-valuescenarios,scalingpilotstoreplicablesolutions.Throughjointeffortsofenterprises,research,andpublicsectors,drivemodeliteration,tooldevelopment,servicedelivery.

Valueoutput:Boostindustrialdigitalization,enterpriseefficiency,andnewbusinessmodels,turningAItechintoindustrialgrowth.

TransformingAISovereigntyfrom

"PublicCapacity"to"Industrial

Infrastructure"

TransformingAISovereigntyfrom

"ResourceInput"to"Governance

Capacity"

Corelogic:Afterfoundationalinputs(data,compute,models,platforms),establishstandards,authorization,quality,security,andcross-deptcoordinationtoshiftfrombuildingtoeffectivegovernance,utilization,andsustainability.

Valueoutput:Boostsgovernmentefficiency,publicresponsiveness,socialtrust,andprovidesastabledata/institutionalbaseforlong-termAl

Validate

publicvalue

EstablishingaSustainableEvaluationIndicatorSystemforAISovereignty

AssessmentPriorities

DoesAIcapabilitypossess

regionalservicecapacityand

internationalinfluence?

HasAIledtotheaccumulation

oflocalenterprises,capital,and

intellectualproperty?

DoesAIdrivetheupgrading

oftherealeconomyand

enterpriseadoption?

DoesAItrulyenhance

nationalgovernance

andpublicservice

efficiency?

Satisfactionwithkey

11

IndustrialValue

SMEAI