2026年迈向AI原生的旅程报告释放你的内在优势

Journey

toward

AI-NativeTM9TheKyndrylperspective10Truth#1:Every

business

outcome

dependson

technology.11Truth#2:Big-bang

transformations

areout;continuousreinventionisin.12Truth#3:

The

anatomy

of

the

workforceisbeingrewired.3

Executivesummary4

A

futurein

flux7

The

AIinflectionpoint8Shifting

fromdisconnectedpilot

tonewbusinessparadigm13

Progressing

toward

AI-Native15

What’s

different?16What’s

not

different?17

Journey

to

AI-Native18Reducing

risks

of

AI

modernization:

Introducing

theKyndryl

AgenticAIFramework21Unlock

Your

Inside

Edge™

with

Kyndrylkyncryl®

2ContentsWinningamid

this

volatilitydemandsanewparadigm:Agilitybydesign.AIat

thecore.Andpeoplecollaborating

withdigitalagents

thatareorchestratedintelligently,securebydesign,andscalableacross

theorganization.

Theseelements

createanenterprise

thatcansense,respond,andact

withinpolicy,inreal

time.In

thisevolution,

AImovesbeyondanaddedlayer

tobecome

thereimaginedcoreof

theorganization.Now,leaderscanoutpacecompetitorswithabusiness

thatcancontinuouslyadapt

tochange,reinventitself,create

newrevenuestreams,strengthenresilience,differentiate,

anddelivercontinualcompetitiveedge.Wecall

this

the

AI-NativeEnterprise.

Andin

thispaper,

we’llcover

what

thatmeans,

what’schangingforbusinesses(andwhat’snot),

the

journey

toward

AI-Native,andhowKyndryl’s

AgenticAIFrameworkcanhelpenableorganizations

toachieve

fasterspeed

toresults.

We’llalsodiscusshoworganizationscanwinwith

powerfuland

flexible

technology

foundations(including

advancedsecurity);changecultureembeddedinto

their

DNA;and

thebenefitofdecadesofKyndryl’smission-criticalexpertise.Theoutcomes

thatmatter

toorganizationshaven’tchanged.But

thegamehas.

Aperfectstormofmarketuncertainty,rapidlyevolving

technology,andcompetitive

dynamicsisimpacting

theoperatingenvironmentlikeneverbefore.Risingcosts,geopoliticalinstability,supply

chainpressures,cyber

threats,skillsshortages,andadvancingartificialintelligencearedrivingmaterial

challengesacrosssectors.kyncryl®

3A

futurein

fluxItused

tobe

thatleaderssetstrategy

yearsahead.

Therewereestablishedoperatingmodelsandlong-hardenedorganizationalstructures.

And“transformation”mostlymeantdigitization

tooptimizeexistingprocessesandexperiences,

withKPIs

focusedonefficiencygains,costreduction,andincrementalimprovements.Butinaneraofhistoric

volatility,

traditionalstrategiesandstructuresarenolongersufficient.Today,conductingbusinessisincreasinglyimpactedby

theeffectsofongoing

warsandgeopoliticalconflicts,shifting

tariffs,regulatorychallenges,

wideningriskexposure,newcompetitivepressures,and

talentshortages.Furtherchallengesstem

from

theproliferationof

technologiesand

therapidadvancementofartificialintelligence.Only31%of

businessleadersreport

feelingready

in

thefaceofexternalrisks.1kyncryl®

476%ofemployersreportdifficulty

filling

rolesbecauseofskillsshortages.440%ofexecutivessay

they

feelunprepared

formarketshocks.2Businessesaredealing

with

volatility,

uncertainty,complexity,

andambiguity

fromaconvergenceofglobal

forces.So,

while

thegoals

thatmattermost

toorganizationshaven’tchanged—profitableandsustainablegrowth,lowercosts,bettercustomerexperiences,security,andresilience—

thegamehas.

With

thiskindof

volatilitychallenging

theoperatingenvironmentlikeneverbefore,it’snotonlymoredifficult

forleaders

todeliver

theoutcomes

they’reseeking,butit’salsobecomingimperative

for

leaders

torethinkhow

theydobusinessin

the

firstplace.60%ofleaderssay

theirorganization

struggles

tokeepup

withtechnologyadvancements.664%ofbusinessleadersdonot

feel

their

AIimplementationisready

tomanage

futurerisksanddisruptive

forces.7As

technology

evolves

andproliferates,

themodernization

of

legacy

estatestomitigate

cyber

risk,

improveexperiences,

and

drive

efficiency

becomesparamount.Rapid

advancementsin

artificialintelligence

offer

both

challenge

andsignificant

opportunity

—but

leadersare

struggling

tointegrate

and

scale

the

technology.Challengesrange

fromgrowingcost

pressures

tocompeting

withnewmarketentrantsandnontraditional

competitorsasindustriesconverge.Skillsshortagescontinue

tochallengebusinesses

and

hamper

progress—

evenasskill

obsolescenceisaccelerating.Warsand

tariffscontinue

tocause

disruption

tosupplychains

theworldover.Regulatorychangescontinue

tochallengehoworganizationsrespond.kyncryl®

5Marketand

Competitivegeopoliticaldynamics

dynamics32%feelconfident

theyhave

theskills

they

need

forlong-termsuccess.556%+ofleadersnamecyber-attacks

as

thebiggest

threat

tosupply

chainstability.31%ofcompaniesbelieve

their

AIinvestmentshavereachedmaturity.851%ofleadersareworriedaboutglobal

talentshortages.5Technology

dynamicsSkillsrequirementsarechanging—

notonlyinhardskills(e.g.,

technical

andcodingskills),butinpowerskills(critical

thinking,

judgment,

creativity).Organizationsmustprepare

tomakeupskillingandreskillingcontinuousprocessesas

thenatureof

workcontinues

to

evolve.

Theymustalsoproactively

managechange

tomakeitpartof

theirculturalDNA.Employersexpect

that39%ofkeyskillsrequiredin

the

jobmarket

will

change

by2030.1050%ofCEOssay

theircultureand

workforceadaptabilitymovetoo

slowly.11Hyper-velocityoutsidedemands

hyper-agilityinsideBusinessesmustprepare

tomakechange

andagilitypartoforganizationalDNA—

onlybydoing

thiscan

theykeeppacewith

changingconsumerandmarketdemands.Theold

textbookoflinearstrategy

andwaterfallprocessisdead.Today’senvironmentdemandsthat

we

expect—and

design—forchange,and

thatleadersembrace

this.Roadmapsmustnowbe

flexible,

andspeed

toimpactmattersmorethanever.Businessesimplementingcomposablecommercesolutions

haverealizedanaveragereturn

oninvestmentof156%within

the

first18monthsofdeployment.9Winningin

thisenvironmentrequiresboldchangein

theway

weboth

thinkaboutandarchitectorganizations

for

success.It’sclear:

Thiseraofuncertaintyanddisruptiondemandsanewparadigm.Rather

thanbuildingcomplex,rigidsystems,leadersrecognizetheneed

forcomposabilityin

theirtechnology—leveragingmodulararchitectures

toenableperformance

and

flexibility

without

vendorlock-in.kyndryl®

657%ofexecutivessay

that

they’re

missingopportunitiesbecause

theycan’tmakedecisionsquicklyenough.13They

also

report

a42%reductionindevelopmentcostsanda37%decreaseinmaintenanceexpensescompared

topreviousmonolithicsystems.9Nearly1

in

5organizationsarenowreinventing

faster

than

theirbudgetarycycles.12→

agile→skills

and

tasks,changeascultureTalent:functionsand

jobsAgile

technologyProcess:staticstrategyAgileprocessTechnology:

rigiddynamic

operationsAgile

talent61%ofCEOssaycompetitiveadvantagedependsonwho

has

themostadvanced

AI.1474%ofU.S.CEOsadmit

they’lllose

their

jobwithin

two

years

if

theydon’tdelivermeasurable

AIbusinessgains.158

in10companiesareactivelyusing

AI.169

in10pilots

fail

tomakeareturnoninvestment.17The

AIinflectionpointArtificialintelligencemarksapivotalshift—buildingonroboticprocessautomationandmachinelearningtounlockgenerativecapabilitiesandusherin

theeraofagentic

AI.

Thisevolution

takes

thepromiseofautomation

further

with

theintroductionandorchestrationofintelligentagentsinto

thearchitecture.

Theseintelligent

agentsreason,adapt,andact,handling

tasksandcollaboratingwithpeopleacross

theorganization.

AIagentsrepresentastepchangeinenterprise

AI.In

this

model,agentscanunderstandgoals;break

thosegoals

intosmallersub-tasks;interactwithpeople,

teams,and

systemsalike;andexecuteandadaptinreal

time.And

the

technology

justkeepsadvancing,deliveringcapabilities

toenable

thekindofcompetitiveadvantage

thatwasn’tpossiblepreviously.

Yet,leadersacrosssectorsarestruggling

todrivemeaningfuladoptionor

scale

AIsecurelyacross

theirorganizations.

Thisresultsinascatteringofdisconnectedproofsofconcept

andone-off

workstreams

thatneverdelivertangible

value.kyndry®

7Shifting

fromdisconnectedpilot

tonewbusinessparadigmAgenticAIispoised

todelivermonumentalimprovementsinspeed,efficiency,modernization,andexperience.Butthat’s

just

thebeginning.

The

truepromiseisinenablingenterprises

tomovebeyondstaticworkflowsandrigidsystems

todynamic,autonomousoperationswith

fulltransparencyandhumanoversight.It’sa

fundamentalreimaginingof

theoperatingmodelitself,butalsoof

thecoreroles,

functions,dependencies,andenablersacrossteams,

technologies,andprocesses.Consider:

AIexpands

themeaningofITinfrastructuretoincludedigitalagentsasnewassets.

What

thisreallymeansis

theadventofuniquerequirements

forsecurity,governance,andmanagementasHRandITbegin

toblur.Equally,

themeaningof

“infrastructure”itselfexpands

toinclude

theprocessandapplicationlayers,

transitioningstaticorcondition-basedenvironmentsinto

trulyintelligent,dynamicenterprises.However,

thisopportunitycomeswithachallenge:integrating

thesenewintelligentsystems

withcomplexlegacy

technologyenvironments.

Andit’s

true

thatagentsrepresentboth

themodernizedendstatebutalso

themeans

tomodernizingin

the

firstplace.Soit’snowonderthatleadersareunsureaboutwhere,how,andwhen

toprioritizewhich

AIentrypoint.

Andwhymostexecutivessee

AI’spotentialbutdonot

feel

well-positioned

todeployitstrategically.Thisgapbetweenambitionandexecutionis

the

criticalchallenge

for

today’senterpriseleaders.Andone

thatKyndryl

ispositioned

tohelp

leaderssolve.kyncryl®

8TheKyndrylperspectiveTorealize

trueROIwith

AIagents—includingcostoptimization,

time

to

value,productivity,andgrowthand

innovation—enterpriseleadersmust

firstacknowledge

three

truths.9Truth#1:Everybusinessoutcomedependson

technology.Onceanenablerof—orobstacle

to—businessoutcomes,

technologyisnow

whatdrivesbusinessoutcomes.Thatmeanseverybusinessambitionhasadeepandintimatedependencyonits

technologycapabilities.But

thecomplexionof

that

technologyischanging,asis

the

disciplineneeded

tomanage

thechange.Understanding

howeachworkflowand

technologylayerconnects

to,supports,andenables

thenextisessential

toarchitecting

andoptimizing

thesystem

todeliver

theoutcomesthatmatter.Thisrelationshipbetween

technologyandbusinessoutcomesbecomesevenmorecriticalasorganizations

begin

tomeaningfullyintegrate

AI.

Thisintegrationrequiresstrong

foundationaldata,securitybydesign,

computationalpower,andseamlessinteroperability

across

thestackatscale.ToolingandsecurityFoundationalmodelsDataplatformsExpanding

technology

infrastructurekyncryl®

10BusinessoutcomesDeep

techWecall

this“chip

toexperience.”ExperienceandbusinessprocessPartnerecosystemsApplicationsChips/EdgeHardware本报告来源于三个皮匠报告站（）,由用户Id:1181721下载,文档Id:1329589,下载日期:2026-09-09of

transformationinitiativesfail

toachieve

theirambitions.18Thechallengesrange

frominitiatives

thatare

toobigor

take

toolong,

to

those

thatdivorcestrategy

fromexecution.

Whatever

thereason,by

the

time

they’recomplete,

themarkethasmovedonandit’s

time

tostartagain.

Thiskindof

transformationisnowaliability.Asmarketconditionscontinue

tochange,ourdefinitionof

transformationisalsochanging.It’snolongeraboutlarge

transformationinitiatives

withastaticendstate.Now,leadersmustprioritizecontinuous,incrementalevolution

andagilityacross

technology,

talent,andprocesses.Truth#2:Big-bangtransformationsareout;continuousreinventionisin.70%11As

AIcontinues

toevolve,enterpriseswillneed

toreimagine

thecompositionof

their

workforces

toinclude

peopleand

AIagentsworking

together.

Thiswillrequire

anew

wayof

thinkingaboutandmanaging

talent.In

this

newmodel,

theroleofITisrecastas

theHR

function

for

agents—responsiblenot

just

formanagingsystems,but

fordeploying,managing,andoverseeing

teamsofagents

across

theorganization.Withagentsalreadydeliveringsignificantefficiencygainsacrosslower-skill

tasks,both

traditionalconstructs

oforganizationalchartsandroleprofiles

faceexistential

questions.

Whathappens

toentry-levelrolesifagentscanhandlelow-skillwork

withexponentialpaceand

accuracy?

Andifagentsaredeployed

forincreasingly

complex

tasks,

whatdoes

thatmean

for

wherewepositionuniquelyhuman

value?Displacementconcernsposeobviouschallenges

forleadersandcolleaguesalike.Butwith

thechangingnatureof

work,areport

from

the

WorldEconomicForum

indicates

that

AIisset

tocreateasmanyas170millionnew

jobsin

thenext

five

years.19

A

vitalquestion

forleadersin

thischangingenvironmentishow

torecast

the

valueofpeople,shape

futureprofessions,andsetpositive

culturalparameters

for

thisnew

workforce.AsNVIDIACEO

JensenHuangsaid,

“You’renotgoing

tolose

your

job

toan

AI,but

you’regoing

tolose

yourjob

tosomeonewhouses

AI.”20

Ineithercase,

the

future

complexionof

theworkforceandnatureof

workitself

requireleaders

to

think

verydifferentlyabout

the

future

anatomyof

theirorganizations.Truth#3:Theanatomy

of

the

workforceisbeingrewired.TheCHROTheCHROmandateis

tomanageblended

teamsofpeopleandagentswhileupskilling

theirpeople.

Thisrequires

them

tosharpen

the

focusonchangemanagementand

takeasystemicapproach

toskills.Equally,

theymustequipemployees

toresponsiblymanage

andcollaborate

with

theiragenticcounterpartsaspartof

thenewculture.TheCIOTheCIO’sroleis

fundamentallyshifting.

With

theadventofagentic

AI,technologyleadersmustnoworchestrate

anewdynamicenterpriseengine.

Thisrepresentsaprofoundopportunity

to

driveandimplementinnovationand

operationalefficiency.kyncryl®

12Theshiftingrolesof

theCIOandCHROProgressingtowardAI-NativeIna

world

where

technologypowersoutcomes,

transformation

iscontinuous,andagentsbecomeacorepartof

workforces,

thequestionisnolongerabout

thewhatorwhenofagentic

AI.

Rather,it’sabout

thehow:•

How

toorchestrateagentsacrosscomplex

technologysystems•

How

tosecure

themwithembeddedsecuritybydesign

andgovernance•

How

toscale

fromisolatedpilots

to

enterprise-wideadoption13Currently,mostapproacheslayer

AIontoexistingstructuresand

workflows,

with

thegoalofenhancingefficiencyoroptimizingcostsassociated

withexistingbusinessmodelsandprocesses.But

tocapitalizeonthe

truepotentialofagentic

AI,growth-orientedleadersaredrivinganeworganizationalparadigm.Here,

AIisn’talayeron

topofexistingprocesses,butrather

thereimaginedcoreof

theentireorganization.Bydesigningwith

AIcapabilitiesat

thecenter,organizationscanmove

fromstaticdigitization

towarddynamic,autonomousenterpriseswhereinformationflows

freelyacross

theorganization.In

theseenterprises,peopleandagentswork

together

toexecutecomplexprocessesinreal

timeandatscale,

withinaself-optimizingsystem

thatincludesembeddedsecuritybydesign.Kyndryldefines

this

as

the

AI-NativeEnterprise.kyncryl®

14Again,in

the

AI-NativeEnterprise,

AIisn’tboltedontoexistinginfrastructure,processes,ormodels.Rather,

the

enterpriseisreimaginedwith

AIat

thecore.In

thismodel,

criticalhumandirection,

judgment,andcontrolremainabsolute.Leaderscontinue

tosetstrategy,governance,

andsecurityprotocols—but

theway

theorganization

operateschanges

fundamentally.In

thepast,organizationscreatedsilosbydesign.Departmentsand

functionswereestablished

tomanageindividualprocesses,

technology,anddata

linked

tospecificworkflowsandoperations.Gaining

visibilityandcontrolacrosssilosmeantreconciling

systemanddataintegration,oftensupplementedbymanualprocessesandcommunicationsacross

a

fragmented

technologysystem.The

AI-NativeEnterprisebreaks

thismodelbyusingAI

to

dissolvesilosandmove

towardmorecompleteoversight

andorchestrationacross

theorganization.What’sdifferent?kyncryl®

15agents

that

workacross

workflowsandtechnology

foundations,removingsilosand

enabling

free-flowinginformationbydesignFromsiloedand

fragmented

functions,

workflows,

and

technology

to...

Information

flowandoversight

→AgentAgentTechnology

foundationsDataand

workflowsDataand

workflowsDataand

workflowsDataand

workflows>AgentAgentThesuccessfuldeploymentofagenticAIisasmuchapeoplechallengeasitisa

technologyone.Soit’s

justasimportant

toacknowledge

that

AIagents

won’treplace

people.Nor

will

theyreplacewhatisunique

topeople,like

creativity,imagination,collaboration,orempathy—andcritically,humanoversight,

judgment,andcontrol.Leaderswillcontinue

tosetstrategyandmakecritical

decisions.

Vitalsecurityandgovernanceprotocolsalsostayinplacebutgetstrengthenedbyintelligentmonitoringandadaptivecompliancesystems.

Thesehelp

toensure

transparency,auditability,andpeople-in-the-

loopbusinesscontrols.What,s

not

different?kyncryl®

16Reimagine

>•

AI-firstdesignofdecisionsand

workflowsatscale•

Agentsorchestrated

enterprise-wideunderpolicy•

Continuouslearning

drivesagilityandnewgrowthJourney

towardAI-NativeFundamentally,

AIrequiresorganizations

toevolve

how

theymanage

their

technologysystemsandhow

theydesignandrunbusinessprocesses.Italso

requires

them

toreimagine

the

way

they

work

with

theiremployees.Itdemands

AI-readyinfrastructure,

governeddata,andembeddedsecurity—integrated

withmodernplatformsandapplications.Butit’simportant

toremember

that

AI-NativeisaNorth

Starstate.

The

journeyitselfrequirescarefulexecution—

from

technologymodernizationandGenAIinfrastructure,

modelsandengineering,

toproactiveorganizationalchangemanagementandworkforcereadiness.Thespeedandscaleof

the

journey

willdependonambition,riskappetite,andaccess

to

therightexpertise

tomake

AI-NativeEnterpriseareality.

Andall

thiswithoutcompromisingbusinesscontinuity,security,

orperformancealong

theway.Whereverorganizationsareon

their

journeys

towardAI-Native,moving

fromone-offprojects

to

the

fullpotentialofagentic

AIatscaledependson

therightfoundationscoupled

withnew

transformationprinciples

andoperatingstructures.That’sexactly

whereKyndrylcanhelp.•

Targetpilots

inexisting

workflows

toprove

value•

Early

winsbuild

sponsorshipandconfidence•

Readinessgrowsasmoreoperations

adopt

AIcapabilities•

Coreplatforms

andgovernance

inplace

forscale•

Programsexpand

across

workflows

anddomainswith

humanoversight•

ITandbusinessco-wonoutcomes

andaccountabilitykyncryl®

17StartsmallScaleAImaturitycontinuumIncreas

ing

valueReducingrisksofAImodernization:IntroducingtheKyndryl

Agentic

AI

FrameworkAs

theworld’slargestITinfrastructureservicesprovider

for

mission-critical

technologysystems,

weunderstand

what

it

takes

tomove

toward

AI-Native,and

what’satstake.18“Our

deepdataexpertiseandour

customer-first,

vendor-neutralapproachhelpusfocusondeliveringbusinessvalue

whilemanaging

theethical,legal,andregulatoryrisksof

AI.Our

robust

Algovernanceprocessescontribute

toKyndryl’sreputationasa

trustedAlpartner.”MichaelBradshawKyndrylGlobalPracticeLeaderApplications,Dataand

AIPreviously,modernizinga

technologysystem

toenable

innovationslikeagentic

AIwasaminefieldofblindspots

andhiddendependencies.ButwithKyndryl,it’spossible

toreduce

theriskofmodernizationandaccelerate

agentic

AI,andROI,

through

theKyndryl

Agentic

AIFramework.Kyndryl’s

AgenticAIFrameworkisourapproach

tohelpingcustomers

transform

their

AIinvestments

from

isolatedpilotsandworkflowsintocorecomponentsof

theirbusinessengines.

At

thecoreisasecure-by-design

agenticcapability

with

theembedded

technol