SEPTEMBER2025

Insightsprovidedby

DATAANDAI

IMPACTREPORT:

TheTrustImperative

Sas

WhatPeopleareSayingAboutTheDataandAIImpactReport

“Trustisessentialtocreate

impact.Thisreportaligns

withourownfindingson

theimportanceofimproving

employeetrustinAIadoption,andthisresearchwillaid

organizationsinthatprocess.”

RoyIkink

TechnologyLead,AccenturetheNetherlands

“Asanorganizationdeeply

committedtoleveragingdataandAIresponsibly,wefound

DataandAIImpactReport

tobeapowerfulvalidation

ofwhatdrivesrealbusiness

value–trust,governanceandscalabledatafoundations.Thisanalysisgoesbeyondsurface-levelinsights,offeringaglobalandactionableviewintohow

AImaturitycorrelateswith

strategicimpact.Forleaders

navigatingtheshiftfrom

experimentationtoenterprisetransformation,thisreportisamust-read.”

RyanBishara

EVP,Revenue&DataStrategy,LAFCandBMOStadium

“Changeistheonlyconstant,andAIisevolvingfasterthanever,butspeedwithouttrustisariskwecan’tafford.This

reportrevealsastrikingtrend:

Industrieslikebankingand

insuranceareseeingbothhigh

returnsandhighvolatility–a

clearsignofthetrustgap.AsapassionateleaderintrustworthyAI,Iseethesefindingsreflectedinrealbusinessconversations

everyday.Thepathforwardis

clear:Trustanddatagovernancemustdrivetherace.”

PreetiShivpuri

Partner,NationalLeaderTrustworthyAIandDataRisk,Deloitte

“TryingtoscaleGenAIonweak

datafoundationsislikebuildingaskyscraperonquicksand.ThisTheDataandAIImpactReportbySASandIDCunpacks

importantnuancesfortrustinAIandtheimpactofAIandoffersessentialguidanceforleaders

navigatingthefast-movingworldoftechnology.”

DerekYueh

ResearchLead,LinkedInB2BInstitute

Contents

ExecutiveSummary 1

AMessagefromtheAnalystTeam 2

Methodology 4

Introduction 5

TheGlobalStateofDataandAI 6

CoreMetricsofthisResearch 7

TheTrustDilemma 8

Global–Keyfindings 9

TheStateofDataandAIAcrossIndustries 12

TheTrustDilemmaAcrossIndustries 14

GlobalLifeSciencesOverview 16

GlobalInsuranceOverview 18

GlobalBankingOverview 20

GlobalGovernmentOverview 22

GlossaryofImportantTerms 24

AboutIDCandSAS 25

DATAANDAIIMPACT:THETRUSTIMPERATIVE|GLOBALREPORT

1

ExecutiveSummary

ThesuccessofthedataandAImarketrequiresbusinessestoovercomethetrustdilemma.

Whyisthissoimportant?

Injustthelasttwoyears,generativeAIhas

alreadyeclipsedtheuseoftraditionalAI.AsthemarketrapidlyadvancestoagenticAI,theimpactondecisionmakingwillbepervasive,oftenconcealedbehindautomationand

integration.

Forthegoodofsociety,businessesandemployees:TrustinAIisimperative.

Inordertoachievetrust,theAIindustrymustincreasethesuccessrateofimplementations,humansmustcriticallyreviewAIresultsandleadersmustempowertheworkforcewithAI.

Wesetouttotackletheseimportanttopicsandotherquestionsinaglobalsurveyaroundthe

use,impactandtrustworthinessofdataandAI.

Inthesepages,you’lllearn:

Wetendtooverlytrustmorehumanliketechnology.

InspiteofevidencethatGenAIcanbeerror-

prone,organizationshavemorefaithinthis

technologythaninothertypesofAI,includingmachinelearning.

TangibleROIincreaseswithtrust.

TorealizegreatervaluefromAIinitiatives,

thesurveyfoundbusinessesmustfocuson

governance,explainabilityandethicalsafeguards.

Businessesmustmovebeyondcostcutting.

Savingmoneyisoftenatopgoalwhenit

comestoAIinitiatives,butthestudyshowed

itdeliveredthelowestROIcomparedtoother

AIgoals.OrganizationswithmorestrategicAI

initiativessignificantlyexpandmarketshareandimprovecustomerexperiences.

AgenticAIrequiresgroundwork.

ThestudyrevealedthatagenticAIprogresswilllikelystallwhenfacedwithnonoptimizedclouddataenvironments,poordatagovernanceor

talentshortages.

QuantumAIisquicklybecomingareality.

Quantumapplicationsarecurrentlybeing

exploredinlogistics,finance,cybersecurity,

lifesciences,climatemodelingandmaterials

science.Althoughthistechnologyisinan

experimentalphase,surveyrespondentssharedthattheexcitementforitspotentialisveryreal.

Inadditiontothesefindings,youwillalso

learnabouttheAITrustIndexandtheAI

ImpactIndex–twonewmeasurementsweareintroducingtocomparetheuseandimpactofAIacrossregionsandindustries.

ForAItoreachitsnextgrowthphase,itmustbegroundedindeliveringtangibleROIto

businesses.

Thisrequireseveryonetoovercomethetrustdilemma.

BryanHarris

ExecutiveVicePresidentandChiefTechnologyOfficer,SAS

AMessagefromtheAnalystTeam

ChrisMarshall

VicePresident,Data,Analytics,AI,

Sustainability,andIndustryResearch,IDC

Fromanacademicperspective,thetrust

dilemmarepresentsoneofthemost

consequentialbarrierstorealizingAI’sfull

potential.Ourresearchshowsthatwhile78%oforganizationsclaimtofullytrustAI,only40%

haveinvestedtomakesystemsdemonstrably

trustworthythroughgovernance,explainabilityandethicalsafeguards.Thismisalignment

leavesmuchofAI’spotentialuntapped,withROIlowerwherethereisalackoftrustworthiness.

Conceptually,thetrustdilemmaillustratesthe

differencebetweenperceptionandpractice:ThetrustinAI’spromiseversustheorganizational

capacitytoensureitsreliability.Solvingthis

dilemmaisnotoptional;itistheprerequisiteforsustainableimpact.

NeilWard-DuttonVPAI,Automation,

Data&AnalyticsEurope,IDC

Fromaglobalperspective,butgroundedin

Europe’sregulatorymaturity,itisclearthatAI’ssuccessdependslessonhypeandmoreonthestrengthofitsunderlyingdatafoundations.Oursurveyshowsthatweakcloudenvironments,

siloeddataandlimitedgovernanceare

consistentlyholdingbacktheadoptionofalltypesofAI.Themostadvancedusecases,

rangingfromfrauddetectioninbankingto

personalizedhealthcare,onlysucceedwhenpoweredbyhigh-quality,well-governed

data.Strongerinfrastructureandcompliance

frameworksimprovethetrustdilemma,but

globally,manyorganizationsmuststillinvestindatastrategybeforescalingtransformativeAI.

DATAANDAIIMPACT:THETRUSTIMPERATIVE|GLOBALREPORT2

3

DaveSchubmehlResearchVicePresident,AI&Automation,IDC

WhatstandsoutinthisresearchishowrapidlythecenterofgravityhasshiftedfromtraditionalmachinelearningtowardgenerativeandagenticAI.Organizationsarenolongerexperimenting

ontheedges;theyareembeddingthese

technologiesintoworkflowsthatspancustomerservice,codinganddecisionsupport.Yet,the

realdifferentiatorisnotjustadoptionbut

integration:Theabilitytounifystructuredand

unstructuredinformation,applygovernanceandembedexplainabilityintoautomatedprocesses.CompaniesthataligntrustworthyAIpractices

withtheirautomationstrategiesareseeingtheclearestimprovementsinefficiencyandworkflowimpact,whilethosethatdon’triskamplifyinginefficienciesatscale.

KathyLangeResearchDirector,AISoftware,IDC

Whatthisresearchmakesclearisthatthe

conversationaboutAItrustandimpactcannot

beseparatedfromtheAIlifecycleitself.From

datapreparationandlabelingtomodeltraining,deploymentandmonitoring,everystage

introducesopportunitiesandrisksthatdirectlyaffectoutcomes.Toooften,organizationsfocusonadoptionmetricswithoutinvestinginlife

cycleautomation,governanceandcontinuous

oversight–leavingthemexposedtobias,driftorcompliancefailures.ThedatashowsthatthosebuildingmaturityacrossthefullAIpipelinenotonlysolvethetrustdilemma,butalsorealize

greaterbusinessvalue.TrustworthyAIisnotafinalcheckpoint;itisembeddedineveryphaseofthelifecycle.

Methodology

Thisresearchdrawsonaglobalsurveyof2,375respondentsconductedacrossNorthAmerica,LatinAmerica,Europe,theMiddleEastand

AfricaandAsiaPacific.Participantsincluded

abalancedmixofITprofessionalsandline-of-businessleaders,offeringperspectivesfrom

bothtechnologyandbusinessfunctions.The

samplecoveredawiderangeofindustries,withaparticularfocusonbanking,insurance,life

sciencesandgovernment,whilealsoincludingresponsesfromsectorssuchasmanufacturing,retailandtelecommunications.

Thequestionnairewasdesignedtoexplore

howorganizationsareapproachingAIadoptionandhowtheyareembeddingtrustintotheir

AIinitiatives.Itexaminedabroadsetof

dimensions,includingbusinessvalue,usecases,governanceframeworks,deploymentpracticesanddatafoundations.AImaturitywasassessedacrossaspectrum,fromearly-stageefforts

toadvancedimplementations,allowingforcomparativeanalysis.

Thefirstgraphiconthispageoutlinesthekey

researchquestions,showinghowAImaturity

wasevaluatedacrossstrategic,technicaland

organizationallayers.Thesecondgraphic

presentstheresearchframeworkandshowshowthequestionnairewasstructuredaroundfive

corethemes:Organizationalcontext,AIadoption,enablersoftrustworthyAI,enterprisetrustin

AIandindustry-specificapplications.Together,theseelementsprovidedthefoundationforthefindingspresentedinthisreport.

ResearchQuestions

LesserAITechMaturityGreaterAITechMaturity

Whatdoestheorganization

want/expecttoachieve?

Whatistheorganizationdoing

relatedtotrustedAI

WhatisthestateofAI

adoption?

Whereistheorganization/

respondentcomingfrom?

BusinessValueAddandInvestments

BusinessUseCases

TechObjectivesandPriorities

TechTrustandGovernance

TechAdoptionandDeploymentTechPlatforms

DataFoundations

Context:Organization&Culture,Industry&Nation

ResearchFramework

BusinessValueandInvestment

SurveySampleof2,375respondentsworldwideacrossindustries

Context

Industry

Geography

Industry

Org&Culture

EnablersofTrustworthyAI

EnterpriseTrustinAI

Applications(byIndustry)

AIAdoption

DeploymentFoundationsTechPlatform

DATAANDAIIMPACT:THETRUSTIMPERATIVE|GLOBALREPORT4

Introduction

Oncethedomainofrule-basedsystemsand

neuralnetworks,the

AI

marketnowfinds

itselfenergizedandredefinedbytheadvent

of

generativeAI

.Thiswaveofinnovationhas

notonlyacceleratedtheadoptionofAI(65%

currentlyusingAI,32%planningtointhenext12months)buthasfundamentallyshiftedthewaybusinessesandindividualsperceive,trustand

harnessAIcapabilities.

GenAI,withitsabilitytoautomateknowledgeworkandtacklecomplextasks,hasquickly

eclipsedtraditionalAIinbothvisibilityand

application(81%vs.66%).Injustafewshortyears,GenAIhasmovedfromanemerging

curiositytoamainstreamessential.

And,ofcourse,theAIlandscapecontinuestoevolvebeyondGenAI.

AgenticAI

(52%currentadoption),which

canactautonomouslyandmakedecisionsin

dynamicenvironments,ispoisedtofurther

expandtheboundariesofautomationand

intelligence.Likewise,

quantumAI

promisesto

solveproblemspreviouslyconsideredintractableduetocomputationallimitations.Whilethese

technologiesarestillemerging,theirpotential

hascapturedtheimaginationofdecisionmakerseagertoexperimentandinnovate(61%seek

greaterprocessefficiency,only32%seekcostsavings).

Thismomentbringswithitnewrequirements

andresponsibilities.AsAIsystemsbecome

moreautonomousanddeeplyintegratedinto

criticalprocesses,datafoundations(16%siloedoradhoc)alsobecomemoreimportant.The

quality,diversityandgovernanceofdatadirectlyinfluenceAIoutcomes,makingsmartdata

strategiesessentialtorealizingbenefitsandmitigatingrisks.

Centraltothisnewlandscapeisthe

questionoftrust.Twoelementsareatplay:

1.ThedegreetowhichuserstrustAIshapedbyfactorssuchastrainingdata,usagepatternsandobservedresults(78%saytheyhave

completetrustinAI).

2.Theinherenttrustworthinessofthe

technologyitself,includingcapabilities

forexplainabilityandtransparency,alongwithstronggovernancepractices(only

40%showadvancedorhigherlevelsofAItrustworthiness).

AstheAImarketmatures,organizationsmustaddressbothdimensionsoftrusttodrive

adoptionandunlockthefulltransformativepotentialofartificialintelligence.

Thisreportgoesbeyondtrackingchange:It

introducesthekeymetricsthatdefineAI’s

progress,uncoverstheforcesreshapingthe

marketandhighlightshowtrustisemergingas

thefoundationforimpact.Byexaminingenablingtechnologies,implementationstrategiesand

evolvingstandardsofresponsibility,itprovidesaguidenotjusttowhereAIstandstoday,buttowhereitmustgotodeliverlastingvalue.

“AIshouldgiveclear

justificationsforits

choices,because

ethicalandlong-term

AIadoptionisfueledbytrust.”

Surveyrespondent,

askedabouttrustworthyAIandwhyitmatters

Background/Methodology

Global

Industry

5

TheGlobalStateofDataandAI

AITECHNOLOGIESUSED

PercentofRespondents

66%

81%

TraditionalAI

GenerativeAI

CURRENTSTATUSOFAI

10.4%

Transformative

27.9%

Integrated

32.5%

Short-termfocus

26.2%

Functional

2.9%

Disconnected

CurrentstatusofAI

Disconnected.AIinitiativesaretacticalanddisconnectedfromorganizationalstrategy.

Functional.AIinitiativesareinitiatedatthefunctionorlineofbusiness(LOB)level,withsomeconnectiontoorganizationalstrategy.

Short-termfocus.AIinitiativesareorganization-orientedbuttypicallyhaveashort-termfocus.

Integrated.Integrated,continuousorganization-wideAIinnovationisinplacewithoperationsandcustomer/serviceexperiences.

Transformative.Thereisalonger-terminvestment

planinplace,andtheorganizationalstrategyistousegovernedAItotransformmarketsandcustomersby

creatingnewbusinessmodelsandproduct/serviceexperiences.

30%

52%

QuantumAI

AgenticAI

CURRENTSTATUSOFDATAINFRASTRUCTURE

10.2%

Optimized

25.9%

Managed

47.7%

Standardized

13.9%

Siloed

2.4%

Adhoc

Currentstatusofdatainfrastructure

Adhoc.Dataarchitectureisunstructuredandlacksformalprocessesorgovernance.Dataissiloedandinconsistentlymanagedanddecisionsarereactive.

Siloed.Basicframeworksandprocessesbegintoemerge,buttheyremainfragmentedwithgapsinconsistencyandgovernance.

Standardized.Cleargovernanceprocedures,

standardsandoperatingmodelsareestablished,butcomplianceisincomplete.

Managed.Dataarchitectureprocessesareintegratedacrosstheorganization,withiterativeupdates

reflectingbusinessneeds.

Optimized.DataarchitectureisfullyoptimizedandcontinuouslyimprovedusingmetricslikeKPIs.

DATAANDAIIMPACT:THETRUSTIMPERATIVE|GLOBALREPORT6

CoreMetricsofthisResearch

TounderstandhoworganizationsapproachandbenefitfromAI,thisreportintroducesthreecoremetrics.TheTrustworthyAIIndexcapturesthestrengthofpracticesthatensureAIsystemsarebuiltresponsiblyanddeservingoftrust.TheImpactIndexmeasuresthetangiblebusinessvalueorganizationsderivefromAIinvestments.Finally,theconceptofthetrustdilemmahighlightswheretrustandtrustworthiness

falloutofalignment,exposingeitherunderutilizedpotentialorelevatedrisk.Together,thesemeasuresprovideacomprehensiveviewofhowAIisgoverned,howitdeliversimpactandwhereorganizations

mustacttoaligntrustwithoutcomes.

TheTrustworthyAIIndex

TheTrustworthyAIIndexmeasureshow

farorganizationshaveinvestedinpractices,

technologiesandgovernanceframeworks

thatmakeAIsystemsreliable,ethical,

transparentandworthyoftrust.Thisincludesdatagovernance,responsibleAI,compliance,explainabilityandriskmanagement.

TheImpactIndex

TheImpactIndexisaquantitativemeasure

thatcapturestherealizedbusinessvalueandoutcomesfromAIinvestments.Itaggregatesfactorssuchasproductivity,innovation,

customerexperience,operationalefficiencyandfinancialreturns.AhigherscoreindicatesgreatertangiblebenefitsfromAI.

Theinterplayoftrustworthinessandimpact

Thetableshowshowcountriescluster

differentlyacrosstrustworthinessandimpact.

IrelandandAustraliaandNewZealandcombinehightrustworthinesswithstrongimpact,

provingthevalueofgovernanceandresponsibleAI.Othersachievehighimpactbutwithweakerfoundations,gainingshort-termbenefitswhile

riskinglong-termsetbacks.Meanwhile,someinvestintrustworthinessbutfailtotranslateitintoimpact,underutilizingtheircapabilities.

ThesepatternshighlighttheneedtoaligntrustinAIwithactualtrustworthinesstorealize

sustainablebenefits.

IMPACT

COUNTRYTRUSTWORHTY

AI

Australia&

NewZealand

3.01

3.53

Benelux

2.86

2.9

Brazil

3.35

2.84

Canada

3.52

3.01

China

2.67

2.51

France

3.35

3.35

Germany

2.88

2.8

India

2.96

3.33

Ireland

3.26

4.06

Italy

2.73

3.01

Japan

2.92

3.01

Mexico

3.55

3.36

Nordics

2.72

2.64

Poland

2.76

2.9

SaudiArabia

2.86

2.84

SouthAfrica

2.72

3.24

SouthKorea

2.82

2.64

Spain

3

3.44

Thailand,Malaysia&

Singapore

2.93

3.3

Turkey

3.76

3.3

UAE

2.28

2.6

UK

3.1

2.93

US3.123.1

Thechartonthispagepresentsacross-countryviewofAI

trustworthinessandtheself-reportedimpactorganizationsare

achieving.Botharemeasuredonascaleof0-5,with5beingthebest.

Background/Methodology

Global

Industry

7

DATAANDAIIMPACT:THETRUSTIMPERATIVE|GLOBALREPORT8

TheTrustDilemma

ThechartbelowplotstherelationshipbetweentheperceivedtrustinAIsystemsandtheiractual

trustworthiness,illustratingthe“trustdilemma.”Thismisalignment,evidentacrossallregions,representsacriticalbarriertoeffectiveAIadoption.Mostorganizationsexperiencethismisalignment,with

relativelyfewachievingtheidealbalance.Tworisksemerge:underutilizationofreliablesystemswhen

trustremainslowandoverrelianceonunprovensystemswhenconfidenceisdisproportionatelyhigh.ThechallengeisparticularlyacuteforgenerativeAI,whererapidenthusiasmhasoutpacedgovernanceand

dataquality.

LowHigh

TrustworthyAIIndex

GLOBALTRUSTDILEMMA

Thematrixpresentsclear

categories,butbothtrustinAI

anditstrustworthinesslieona

continuum.Whilethereportusesa2x2framework,readersshouldkeepinmindthatshiftsbetweenlevelsaregradual,notbinary.

Ideal

Underutilized(Trustdilemma)

9%

11%

Overreliance

(Trustdilemma)

Laggards

45%

35%

LowHigh

BaselinePerceptionAITrust

Thetrustdilemmaisapersistentglobalissue,affectingnearlyhalfoforganizationsworldwide(46%).ItisslightlymorepronouncedinAsiaPacificandNorthAmerica,where47%oforganizationsface

misalignmentbetweentrustinAIandactualsystemtrustworthiness.META(MiddleEast,TurkeyandAfrica)andLatinAmericaperformslightlybetterat45%,thoughthedissonanceremainssignificant.

EveninEurope,whereregulatoryoversightisstronger,46%oforganizationsstillfallintothisdilemma.Solvingitwillrequiresustainedinvestmentingovernanceframeworks,thedevelopmentofskilled

talentandrobustinfrastructuretoensurethatorganizationalconfidenceinAItechnologiesisfirmly

groundedindemonstrablereliabilityandintegrity.Ultimately,solvingthistrustdilemmaisessentialiforganizationsaretounlockthefullimpactandvalueofAI.

“ThisresearchfromSASandIDCillustratesoneofourcorebeliefsatMicrosoftthatwecannotharnessthefullpotentialofAIwithouttrust,andthattrustisneverassumedorgiven,itmustbeearned.”

SarahBird

ChiefProductOfficer,ResponsibleAI,Microsoft

Global–Keyfindings

Trustisn’toptional:ThedilemmaholdingAIback

AItrustissuesaremorethanjustaphilosophicalconcern;they’reafinancialone.

Accordingtoourresearch,organizationswitha

significantmisalignment–thedifferencebetweenhowAIisperceivedandhowresponsiblyit’s

implemented–seesignificantlylowerROI.

Infact,46%companiesaroundtheworldreport

experiencethetrustdilemma,meaningnearlyhalf

oftheirAIpotentialisleftuntapped.Thereport

makesitclear:Themorematureanorganization’sAIadoption,themoreitinvestsinresponsibleAI.Onlythosewithrobustgovernanceframeworksareseeingtrulytransformationalresults.

Solvingthisdilemmaisn’tjusttherightthingtodo;it’sessentialforunlockingAI’sfullvalue.

Companiesareresponding.Fifty-sevenpercentplantomoderatelyincreaseinvestmentsinresponsibleAI,and25%expectsignificantincreases.Topareasofinvestmentincludehiringortrainingexpertsin

AIethics

andcompliance(56%),buildingplatformsthatembedresponsibleAIprinciples(54%)

anddevelopingtechnicalcapabilitiesformodelexplainabilityandbiasdetection(47%).

Withonlyaboutaquarteroforganizationshaving

acentralgroupdedicatedtoAIgovernance,the

demandforethicalAIexpertiseisrising.Justas

importantly,responsibleAImustbecomeacompany-wideculturalvaluetodrivelastingimpact.

GLOBALTRUSTDILEMMA

11%

9%

45%

35%

LowHigh

BaselineperceptionofAITrust

DIRECTIONOFINVESTMENTINTRUSTWORTHYAI

100%

50%

58%

0%

25%

17%

Moderatelyincreasing

Stable

Significantlyincreasing

TOPAIINVESTMENTAREAS

47%

Modelexplainability,fairnessandrobustness

56%

Expertisein

AIethics

,complianceandriskmanagement

54%

EmbedresponsibleAIprinciplesacrosstheAIlifecycle

TrustworthyAIIndex

LowHigh

“InorderfororganizationstosucceedinthisneweraofgenerativeAI,theyneed

toestablishhightrustthroughasoliddatafoundationwithcloud-basedscaleand

governance.AWSandSASprovideinnovativesolutionstocompaniesthatwanttosetupadatafoundationforfutureAIsuccess.”

DanielleGreshock

Director,PartnerSolutionArchitects-WorldWideTechnologyPartners,AmazonWebServices

Background/Methodology

Global

Industry

9

DATAANDAIIMPACT:THETRUSTIMPERATIVE|GLOBALREPORT10

Global–Keyfindings

OrganizationsthatgetthemostROIfromAIhavemorestrategicgoals

CompaniesthatgetthemostROIfromAIaren’tjusttryingtocutcosts–they’rereimagininghowtheir

organizationswork.

ThisresearchshowsthatnewerAIadopters(lessthantwoyearsin)tendtofocusonpersonal

productivity,with57%listingitastheirtoppriority.ButinorganizationswithovereightyearsofAI

experience,thefocusshiftstoprocessefficiency(64%)anddecisionmaking(60%).ThesematureusersaretheonlyoneswhoconsistentlyprioritizedecisionmakingasakeyAIgoal.

Thedataalsorevealsthatcostreduction,while

commonamongneweradopters,deliversthelowestROI.Infact,savingcostsranksasthethird-highest

priorityforAInewcomers,butdropstoseventhfor

matureorganizations.Companiesthataimtoimprovecustomerexperience,expandmarketshareandboostbusinessresiliencereportsignificantlyhigherreturns.ThisshowsthatfocusingonusingAItoenhance

processesanddeliverbetterexperiencesacrosstheboardiskeytounlockingmeasurablevalue.

AIROIBYGOAL

Improvecustomerexperience

1.83

Expandmarketshare

1.74

Improvebusinessresilience

1.71

Increasesustainability

1.70

Improveemployeeproductivity

1.63

Drivenewrevenuegrowth

1.63

Increaseprofits

1.62

Increaseoperationalefficiency

1.62

Fastertimetomarket

1.61

Improvedeaseofdoingbusiness

1.60

Reducebusinessrisk

1.60

Becomemoreinnovative

1.59

Savecosts

1.54

ROIforeachdollarinvested(byAIObjectiveGroup)

FromGenAItoagenticAI:Thenextleaprequiresastrongerfoundation

AgenticAIispoisedtorevolutionizeenterpriseoperations,butmostorganizationsaren’treadyforit.LikeGenAI,agenticAIisbeingheldbackbyweakdatainfrastructure,poorgovernanceandalackofAIskills.

Toscalevaluefromthesetechnologies,companiesmustbuildstrongdatafoundationsthatsupportinnovation.Rightnow,49%oforganizationscitenonoptimizedclouddataenvironmentsasamajorbarrier,followedbyinsufficient

datagovernance(44%)andashortageofskilledspecialists(41%).FormoreexperiencedAIorganizations,the

challengesshifttowardbuildingorganizationalAIarchitecture(57%),runningeffectivedataandAIteams(45%)andsupportingtrainingandreskilling(42%).

Since2024,datacentralizationhassurgedtobecomethenumberonechallengeinAIimplementation.Concernsarounddataprivacy,explainabilityandethicalusearealsotopofmindfororganizationsdeployingagenticAI.

Withtheselimitsinmind,agenticAIadoptionwillbeslowerthanGenAIbecauseitrequiresorganization-wide

processredesignandscalesoneagentatatime.AscompaniesprogressinAImaturity,they’llfacenewhurdleslikeAPIintegration,agentorchestrationandhybridcloud

datamanagement

.ExecutivesfocusedonprocessefficiencymustrecognizethatasoliddatafoundationisessentialfordrivingimpactwithagenticAI.

Global–Keyfindings

QuantumAIIsgainingconfidencefasterthancapabilities

QuantumAIisgainingtrustfasterthanitisgainingunderstanding.Accordingtoourfindings,30%ofglobaldecisionmakerssaythey’refamiliarwithquantumAI,and25%saytheytrustit,despitereal-worldapplicationsstillbeing

rareandmostlyconfinedtoresearchlabs.GloballeadershipinthisspaceisconcentratedintheUS,Europeand

selectAsianinnovationhubs,butthetechnologyremainsinitsearlystages,definedbyexperimentalhardwareandahandfulofpromisingresearc