mckinsey -培養(yǎng)企業(yè)領(lǐng)導(dǎo)者的人工智能能力 Building the AI muscle of your business leaders_第1頁
mckinsey -培養(yǎng)企業(yè)領(lǐng)導(dǎo)者的人工智能能力 Building the AI muscle of your business leaders_第2頁
mckinsey -培養(yǎng)企業(yè)領(lǐng)導(dǎo)者的人工智能能力 Building the AI muscle of your business leaders_第3頁
mckinsey -培養(yǎng)企業(yè)領(lǐng)導(dǎo)者的人工智能能力 Building the AI muscle of your business leaders_第4頁
mckinsey -培養(yǎng)企業(yè)領(lǐng)導(dǎo)者的人工智能能力 Building the AI muscle of your business leaders_第5頁
已閱讀5頁,還剩9頁未讀, 繼續(xù)免費(fèi)閱讀

下載本文檔

版權(quán)說明:本文檔由用戶提供并上傳,收益歸屬內(nèi)容提供方,若內(nèi)容存在侵權(quán),請進(jìn)行舉報或認(rèn)領(lǐng)

文檔簡介

December2025

Mckunsey

Quarterly

BuildingtheAImuscleofyourbusinessleaders

TherealcompetitiveadvantagewithAIcomesfromhavingbusinessleaderswhocanbridgebusinessproblemswiththepossibilitiestechnologyoffers.

byDanaMaor,EricLamarre,andKateSmaje

Oneofthemostcriticalroadblockstoachievingat-scaleimpactwithdigitalandAI(D&AI)transformationsishavingasufficientbenchofdomainleaders.ThesearetheN-2andN-3executives(thatis,thosetwotothreelevelsbelowtheCEO)wholeadadomain(eithera

businesslineorfunction)anddriveend-to-endtransformationwithAI(seesidebar,“Whatisadomain”).AItoolsareeverywhere,buttheskillstoapplythemtorealbusiness

problems—improvingcustomerexperiencewhiledrivingdownunitcostsatscale—arenot.

HavingthesedomainownersisprobablythesinglemostcriticalroleanybusinessneedsforitsAItransformations.TheCEOhastoleadthetransformationoverall,andtheC-suiteneedsto

alignonprioritiesandenterprisecapabilitiestoenableAI.Butit’sthedomainleaderwhohastheoperationalresponsibilityfortranslatingthevisionsandplansintorealchangeandrealvalue.

Whatisadomain?

Adomainisanend-to-endbusinessprocess(oravaluestreamifyouarefromtheschooloflean

management).Domainsarelargeenoughtodelivermeaningfulimpactonceimprovedbutsmall

enoughtobetransformedwithoutunduedependenciesonotherpartsofthebusiness.Eachdomaintypicallyrequiresfiveto15interrelatedusecasesorsolutionstobeimplementedtocapturetherealtransformationalvalue.DigitalandAItransformationsscalebyessentiallyaddingnewdomainsor

deepeningimpactinexistingones.

Thatfocusonthedomainisparticularlycriticalbecausemost,ifnotall,companieswehavestudiedderivethemajorityoftheirbenefitsfromafewdeeplytransformeddomains.

So,whileit’simportanttobuildupthetech-savvyskillsofeveryoneinthebusiness,wewill

focusthisarticleonthedomainowner.Themosteffectivedomainownerscanspeakto

customerneeds,strategy,organizationaldesign,andoperationalperformance—thetraditionalexecutivemuscle.Buttheyalsohavebuiltupa“secondmuscle”:beingtechsavvyenoughtodevelopanAI-enabledtransformationroadmap,understandmodernsoftwaredelivery,and

appreciatethehealthoftheirdataestate,technologyplatforms,andengineeringtalent.

Weare,however,farfromhavingenoughdomainleaderstoday.OuranalysisofLinkedInprofilesofseniorleadersinFortune500companiesindicatedthatjust17percentoftheirskillsetis

technicalbynature,andonly5percentoftheircareersincludedholdingatechnicalrole.1That’snotsurprising.Historically,tech-capableleaderstendedtobuildacareerinIT.

1Theanalysiscovered3,348C-suiteleadersand903,565seniorleadersin492globalcompaniesintheFortune500.Tech

education:STEMfieldssuchasmathematics,engineering,etcetera;techskills,asapercentageofallskillsmentionedineach

profile(forexample,datascience,DevOps,cybersecurity,etcetera);tenureintechroles:thepercentageofcareerspentinrolessuchasvicepresidentofengineering,chiefdigitalofficer,etcetera.

BuildingtheAImuscleofyourbusinessleaders2

BuildingtheAImuscleofyourbusinessleaders3

DespitetheshortageofdomainownerswithstrongAImuscles,amodelforwhatittakestobeaneffectivedomainowner—andhowtobuildthecorrespondingtechmuscles—isemerging.

Whatskillsdefinedomainowners?

MeetAdamBoyd.He’saseniorexecutiveatCitizensBank.Afewyearsago,heledabusinesslinecalledhomeequitylending,whichletscustomersborrowmoneyusingtheequityintheir

homeascollateral.Adamhadavisiontoreinventthecustomerexperiencewithtechnology.Hisvisionwastoprovidehomeownerswithpreapprovedlinesofcredit,amuch-streamlined

applicationprocess,andautomatedback-officeoperationssocustomerscouldreceivetheirmoneyinjustafewdays,comparedwiththeindustrystandardtimeofasmuchas35ormoredays.

BringingthisvisiontorealityrequiredAdamtoworksidebysidewiththebank’stechnology,credit,risk,compliance,strategy,andfinanceleaderstodeveloparoadmapofusecasesthatwoulddeliverthisnewoffering.Keyelementsincluded1)usingdataandAItoautomatethe

analysisofcustomers’creditbackgroundstopre-underwriteoffers,2)creatingpersonalizeddigitalmarketingcampaigns,3)streamliningthedigitalapplicationtojustafewclicks,and4)implementingprocessautomationtoreduceback-officecycletime.

Thebank’sleadershipwasexcitedabouthisplanandprovidedhimwithfourcross-functional

developmentteams.LeadingtechdeliveryteamswasnewforAdam.Hehadtolearnagile

softwaredevelopmentandthedifferentrolesonanagileteam.Healsolearnedaboutthebank’sdataarchitectureandoveralltechnologystacktobuildthisnewoffering.Adamdidn’tjust

overseetheseteams;hestayedcloselyinvolvedtohelpovercomeroadblocks,redirect

developmenteffortswhenneeded,andensure,throughiterativetesting,thatthetechnologybeingbuiltwouldmeetcustomerneeds.

Finally,Adamownedthechangemanagementendtoend—resolvingchannelconflicts,

resequencingoperationsworkflows,andupskillingcolleaguesacrosscontactcentersand

branches.Thisrequiredcollaboratingcloselywithseniorcolleaguesindistribution,marketing,riskmanagement,technology,andoperations.

Thisprogramwasn’talwayssmoothsailing.Hardcross-functionaltrade-offswereoften

requiredfromtheC-suite,suchasreallocatingmarketingspendtodigitalchannelsand

revisitingcreditpolicies.Twoyearslater,however,Adamandhiscolleaguesdelivereda

breakthroughcustomerexperiencethatfaroutpacedtheindustry,andtheyachievedlowersellingandservicingcosts.

Adam’sstoryisrarebutnotunique.TakeNeeshaHathi,theheadofWealth&AdviceSolutionsatSchwab.Shewasnotatechnologistbytrainingbutlearnedtheropesthroughaseriesof

BuildingtheAImuscleofyourbusinessleaders4

earlierrolespriortohercurrentposition,includingrunningasoftwaresubsidiaryandbeingchiefdigitalofficer.Shebecameformidableattransformingcustomerjourneysandoperations

processeswithtechnology.OrtakeMennoVanderWinden,who,whenhewasheadofQualityandProductDevelopmentatTataSteel,builthismuscleinapplyingadvancedanalyticsandAItoimproveproductqualityandproductivityinoneofthelargeststeelplantsinthe

world—drivingstep-changeimprovementsinqualityandproductionthroughput.

TheseleadersexemplifythekeyskillsthatAI-andtech-capablebusinessleaders

develop—whatwearecallingthe“secondmuscle.”Whenbusinessleadersmasterthiscraft,theyhavetheabilitytodothefollowing:

—Reimaginetheirdomainandcreateatransformativevisionwiththecustomeratthecenter.Theyunderstandcustomerpainpointsandunmetneeds.Theyknowthemajorsourcesof

wasteintheiroperations.TheyusecreativityandpatternrecognitiontoreimaginethebusinesswithAI—notjustautomateanexistingworkflow.

—DevelopAI-enabledtransformationroadmaps.Theyknowhowtoworkwithdomainexpertsandfunctionalspecialiststoreimagineend-to-endprocessesthroughAIandtechnology.

TheyturnthoseinputsintoacomprehensiveroadmapofsequencedusecaseswithclearKPIstiedtooutcomes.Theydon’tdelegatethisjobtoITorlowerdownthelineintheir

organizations.Theyownitbecauseit’smissioncritical.

—Overseetechdelivery.Whiletheyarenotdeeptechnologyexperts,theseleadershavesufficienttechdepthtooverseedevelopment,helptheirteamsprioritizework,solve

problemstoovercomeroadblocks,andeffectivelychallengetheirthinking.Theywork

quicklyanditerativelytobuildscalablesolutionsthatdelightcustomers.Andtheytake

advantageofhavingcross-functionalteamsundertheirleadershiptodrivedevelopmenteffectivenessandspeed.

—Leadend-to-endchangemanagement.Tech-capablebusinessleadersdon’tdelegatetheresponsibilityforimplementingtheirAIsolutions.Theyowntheiradoptionandscaling.Theyareaccountablenotjustfordevelopingsolutionsbutalsoforensuringthatthesesolutionsdelivervalue.Becausetheyhavethebestoverallviewoftheend翻to翻endprocessbeing

transformed,theyarebestplacedtodesignandorchestrateawell-integratedchangemanagementeffort.

ThebusinessleaderswhodevelopthissecondmuscleholdthekeytoyourfuturewithAI.That’swhythebig(maybethebiggest)questionforanyCEOorboardmembertoansweris:HowmanyAdams,Neeshas,andMennosdoesyourcompanyhave?

BuildingtheAImuscleofyourbusinessleaders5

Howdoyoubuildasecondmuscleandbecomeadomainowner?

BuildingyourAI-savvyquotientisanongoingjob;don’texpectatechbootcampandthe

occasionalmeetingwithstart-upstobesufficient.Buildingthissecondmuscle—andkeepingitfromatrophying—takesintent,discipline,andlong-termfocus.

Learnlikeit’syourmission

Manycompanieshavesophisticatedtrainingprograms,butattheendoftheday,domainleadersunderstandthattheyneedtoowntheirlearningjourneys.Wecallthem“fearlesslearners,”andtheyaredrivenbycuriosityandapassiontobroadenanddeepentheir

knowledge.

CitizenBank’sBoydspendssixtotenhoursaweekdiscussingandlearningabouttech-relatedmatters.Thiscomesinmanyforms:protectingtimetoreadaboutthelatestdevelopments,

exchangingviewswithtechnologyleadersathisbank,meetingtechvendorsandconsultants,attendingsprintreviews,goingtoconferences,visitingotherfinancialinstitutionsthathave

donenovelthings,meetingwithfintechstart-ups,takingonlinecourses,etcetera.

Schwab’sHathidescribedhowimportantitistoactivelylookforopportunitiestodeepenyourlearning.Forexample,asaboardmemberofahealthcompany,sheisamemberoftheNationalAssociationofCorporateDirectors(NACD).Whenshewasconsideringcontinuingeducation

courseoptions,shedecidedtodeepenherknowledgeofcyberandtooka30-hourcourseoncybersecurityrisk.

Fixateonvalueandreimaginewhatittakestogetit

AIpretenderschaseaquickproofofconcepttocheckaboxontheirperformancereview.

“Usingtech”leadstheirthinking.VanderWindenneverstartswithtechnology.Instead,he

startsbyaskingwhatthebiggestproblemsare,andthenhefiguresoutifatechnological

approachmightsolvethem.“I’mnotadatascientist,”hesaid.“WhatI’velearnedistoidentifytheattractiveproblemsworthsolving.”

Thatessentiallymeansdomainownersgoafterbusinessproblemsthatareworthgettingoutofbedfor.Ourruleofthumbisthatthepotentialvalueofatransformationaleffortshouldgenerate20percentofincrementalvalue.Domainownersareparticularlyopentonewwaysofdoing

thingsinsearchofthatvalue.Theygobeyondimprovingprocessestoreinventingjourneysandbreakingorthodoxies.

WeareseeingthelatestiterationoftheimportanceofthismindsetwithAIagents.Companiesfindingsuccesswithagentsdon’tfocusonindividualusecasesorsimplyautomateexisting

processes;theyarereimaginingend-to-endworkflowstotakeadvantageofagentcapabilities.

ThismindsetisgroundedinafirmunderstandingofwhatAIcando,anditcannotbedelegated.AsHathiputit:“Manybusinessleaderswhoarelesstechsavvywillsimplysaytheydon’t

BuildingtheAImuscleofyourbusinessleaders6

understandtechandturntechnologychallenges—oropportunities—overtoITtosolve.”Theresultofthisimpulsetodelegateisoftenconstrainedthinkingandmarginalimprovementsratherthanusingtechtounlocksubstantialnewvalue.

Understandtheoperationalleverstogetvaluefromtech

It’sneverjusttechwhenitcomestoextractingvaluefromtech.Domainleadersunderstandthatensuringtechnologydeliversonitspotentialrequiresintegratingsystems—bothtechnicaland

organizational.Thissystems-levelthinkingisessentialtosuccessfullyrewiringthebusiness.

BoydcapturedthisideawhendescribingthevalueequationofD&AItransformationasrestingonthreelegs:people,data,andtechnology.“Therealpoweroftechnologyisworkingwiththerightpeopletobuildsystemsthattakecustomerinputs,marrythemwithbettermodels,and

deliverbettercustomerexperience,”hesays.

VanderWindenvoicedasimilarbeliefthatdevelopingtechnologysolutionsdependedonmuchmorethanthetechnologyitself.Heunderstood,forexample,theneedforleadership

commitmentfromthebusinesssideofthehouseaswellashowimportantitwastohavegooddatainplace.“Iwouldonlycommittoasolutioniftherewereabusinesscaseandasenior

ownerfromthebusinessattachedtoit,andifthedatawasavailableandofreasonablequality.”

Theintense,cross-functionalnatureofaD&AItransformationrequiresamuchgreaterlevelofcollaborationacrosstheorganization.Thatmeansdomainownersroutinelyneedtoengageandworkwithleadersacrossvariousfunctions,whetherthat’sbringingriskexpertiseearlyintothesolutiondevelopmentorworkingwithfrontlineteamstoensuresolutionsareadopted.

Onatechnicallevel,thissystemsviewisoftenreflectedinanabilitytounderstandenterprisearchitectures,inthesamewaymanyseniorleadersunderstandcapitalortalentarchitectures.

That’sbecausedecisionsaroundenterprisearchitecturearecrucialtodrivingscale,buildingupresiliency,andenablingthekindofcross-functionalcapabilitiesthatsupporttheend-to-end

workflowsthatareneededtogetvaluefromAI

.

Getyourhandsdirty

ThereisnosubstituteforlearningonthejobwhenitcomestobuildingupyourAImuscle.

Clearly,businessleadersneedtorelyonskilledtechnologistsandengineerstosolveproblems.Butthatdoesn’tmeansimplydelegatingtheworktothem.Tech-savvyleadersgetintothe

weedswithteamstodevelopsolutions.

Hathiemphasizedthatdevelopingthistechsavvinessrequiresleaderstogetpastaconceptualunderstandingoftechandgraspitatapracticallevel.“Itstrengthensyourinstinctssoyoucanquicklytellifatechnologyprogramorissueisbigorsmall,complexorstraightforward.”

Havingthatpracticalunderstandinghelpstoovercomeanissuethatbedevilsmanyexecutives:difficultycalibratingorjudgingtheprogressoftechprograms.Manywillstruggletounderstandifatechprojectisgoingwellornotbecausetheydon’tunderstandthepracticaldetailsthatcandeterminethesuccessofatechnologysolution.

BuildingtheAImuscleofyourbusinessleaders7

Hathididn’thaveatraditionaltechbackground,sosheinvestedtimeinworkingwithteams.“I

participatedinthedesignworkshops,reallydiggingintotheissuesandfiguringthemout,”shesays.Sheworkedwithengineers,datascientists,techleads,andproductexpertstounderstandwhattheyweredoing.“WhenIthenspokewiththeboard,Icouldspeakwithconfidenceand

credibility...abouthowcertaininvestmentswouldhelpourteamsbuildtheproductsandservicesweneeded,forexample.”

Developanosefortechtalent

Talenthasalwaysmattered.Butfewleadersunderstandhowmissioncriticalthatiswhenit

comestotechtalent,whereatopengineerorarchitectcangeneratetentimesmorevaluethantheirpeers.Inour

Rewired

work,we’veobservedthatsuccessfulleadersspendmostoftheir

timeonpeoplequestions,fromrecruitingtooperatingmodelsthatallowpeopletothriveintheirwork.

Thisincludesspendingtimewithproductowners,dataengineers,datascientists,solution

architects,andAIspecialiststoappreciatewhatdifferentiatesthebestofthem.Cantheyexplainthesolutionarchitectureandthereasonsforthechoicesmade?Cantheyanticipate

vulnerabilities?Cantheydescribehowdatawillflow?

Bringingthistolifemeansinvestingsignificanttimeintheunglamorousworkofcreating

incentives(bonusesandperformanceKPIs)thatencourageAI-firstbehaviors,understandingwhichskillsareneededtobuildprioritysolutions,developingtailoredlearningjourneys,andcreatingnewcompensationmodels.

VanderWindenhighlightedtheimportanceoftraininginparticular.Asheformednewteamstoworkonnewopportunities,hedependedonfindingtopengineersandthentrainingthemuptouseadvancedanalyticsandworkwithcross-functionalteams.“Foreveryusecasewithanew

team,webroughtinafewpeoplefrommygroupwhohaddoneitbeforetoworkwiththenewpeople,”hesays.“Thiswascriticaltobuildontheskillsweweredevelopingandexpandingthefootprintofpeoplewhocoulddothework.”Histeamendeduptrainingmorethan500

engineers.

Getcomfortablewithambiguityand‘stagegate’yourefforts

Thisisoneofthehardestthingsforseniorbusinessleaderswhoareassessedon“makingtheirnumbers.”Ifyoubreakoutofincrementalismandtrulyreimaginehowyourbusinesscouldrundifferently,thiswillimplyacertainlevelofambiguityonthepathforward.AIcapablebusinessleadersmastertheartofstagegatingtheirefforts,achievingsomeeconomicbenefitswith

everytrancheofinvestment,andconstantlypivotingtheireffortsastheyencounterroadblocks.

Understandingtechnologyinitselfshouldn’tbethegoalofbusinessexecutives;understandinghowtoworkwithtechnologytocreatevalueis.Thismayseemdauntingatfirst,butit’svery

doable,asBoydunderscores:“Mylearningcurvewasverysteep,butaftersixmonths,Istartedfeelingmoreconfidentinmyeffectivenesstoleadatech-intensivebusinesstransformation.”

BuildingtheAImuscleofyourbusinessleaders8

WhatshouldtheCsuitedotodevelopmoreAIcapabledomainowners?OfalltheAIupskillingprogramsyoucouldimaginelaunching,nonewillbemorestrategicand

impactfulinourviewthandevelopingtechcapabledomainowners(aswellastheC-suite).

“Youcan’thireadomainowner,”VanderWindenemphasizes.“Thepersoninthatrolehasto

knowthecompanyandhavedomainexpertise.Youneedtofindthemandupskillthem.”There

areroughly15to30corebusinessprocessesorcustomerjourneysinmostlargecompanies(or

divisionsofconglomerates),eachwithabusinessleaderandateamsurroundingthatleaderthathastherightmixoffunctionalcapabilities.Thatmeansyou’llneedabout75to150leadersamongyourN-2andN-3population.

Considertakingthesethreepracticalactionstocreatethisbenchofdomaintalent:

1.Puttherightpeopleandincentivesinplace.StartbyclarifyingwhichcorebusinessprocessesandjourneyshavethemostpotentialtobetransformedbyAIandaskyourselfifyouhave

therightcurrentleadersinplace.Morespecifically,dotheyhavetheleadershiptraits

outlinedearlier?It’scommontochangeupto20to30percentofyourcurrentleaders.Ifyoudon’tmakeexplicitchanges,youwillcontinuefightingthegravitationalpullofthe

legacyorganizationandtheresistanceitcancreate.

VikramSinha,theCEOofIndosatOoredooHutchison,anIndonesiantelecommunications

provider,assertedthateffectivechangewas“10percenttools,20percentplatform,70

percentpeople.”AspartofacommitmenttotransformthebusinessintoanAI-nativetelco,Sinhahaschampionedanat-scaleAI-capability-buildingeffort,withquarterlyexecutive-

suiteAIimmersionprogramsandanAIleadershipinitiativeforthetop100executives,focusedonlearningbothAIandleadingintheageofAI.

2.Launchastrategicupskillingprogram.Whileproductmanagementisanimportantaspect

ofthenewskillset,thejobofAI-capabledomainleadersisbroaderandmorecomplex.

That’sbecausedomainownersownanend-to-endbusinessprocesswithhundredsor

thousandsofpeopleinbusin

溫馨提示

  • 1. 本站所有資源如無特殊說明,都需要本地電腦安裝OFFICE2007和PDF閱讀器。圖紙軟件為CAD,CAXA,PROE,UG,SolidWorks等.壓縮文件請下載最新的WinRAR軟件解壓。
  • 2. 本站的文檔不包含任何第三方提供的附件圖紙等,如果需要附件,請聯(lián)系上傳者。文件的所有權(quán)益歸上傳用戶所有。
  • 3. 本站RAR壓縮包中若帶圖紙,網(wǎng)頁內(nèi)容里面會有圖紙預(yù)覽,若沒有圖紙預(yù)覽就沒有圖紙。
  • 4. 未經(jīng)權(quán)益所有人同意不得將文件中的內(nèi)容挪作商業(yè)或盈利用途。
  • 5. 人人文庫網(wǎng)僅提供信息存儲空間,僅對用戶上傳內(nèi)容的表現(xiàn)方式做保護(hù)處理,對用戶上傳分享的文檔內(nèi)容本身不做任何修改或編輯,并不能對任何下載內(nèi)容負(fù)責(zé)。
  • 6. 下載文件中如有侵權(quán)或不適當(dāng)內(nèi)容,請與我們聯(lián)系,我們立即糾正。
  • 7. 本站不保證下載資源的準(zhǔn)確性、安全性和完整性, 同時也不承擔(dān)用戶因使用這些下載資源對自己和他人造成任何形式的傷害或損失。

最新文檔

評論

0/150

提交評論