2024年重塑金融行业：生成式AI的潜力与应用白皮书（英文版）-SG Analytics

FinancialIndustryReinvented:

InsidetheReport

ExecutiveSummary03

GenerativeAI’sRapidGrowthandImpact04

TransformingFinance:TheImpactofGenAIontheIndustry05

HarnessingGenAIinBanking06

HarnessingGenAIinInsurance08

HarnessingGenAIinAssetManagement&CapitalMarkets10

HarnessingGenAIinWealthManagement12

HarnessingGenAIinPaymentsandFintech14

VCandPEActivity17

PublicComparables20

TheFinancialIndustryReinvented:GenerativeAIandItsPotential3

ExecutiveSummary

GenerativeAI(GenAI)isarapidlygrowingtechnologythatis

significantlytransformingthefinancialindustry.Ithaspositivelyimpacted

varioussectorsofthefinancial

industry,suchasbanking,asset

management,capitalmarkets,wealthmanagement,andinsurance,as

outlinedbelow:

Banking

GenAIpresentsanopportunityfora

substantialincreaseinrevenue,estimatedat

2.8%to4.7%,throughenhancedproductivity.

Itenhancesthefunctioningoffieldssuchas

onboardingandmarketingadvisoryinthe

consumerbankingsector.GenAIisexpectedtohaveasignificantandimmediateimpactonareassuchascustomizedsolutions,detectionoffraudulentandsuspiciousactivities,and

documentationandreporting.

Insurance

GenAIintheinsurancesectorisalreadybeingusedforimprovedunderwriting,predictiveriskassessment,andfasterclaimsprocessing,

eventhoughthissectorhastraditionally

beenaslowadopterofAI.Insurersanticipate

arevenueincreaseof15–20%andcost

reductionswiththeinvolvementofGenAI.

AssetManagement&CapitalMarkets

TheintegrationofGenAIisanticipatedto

facilitatetheacquisitionofnewclientsby

providingpersonalizedsolutionsthathelp

firmscapturealargershareofthemarket.

Algo-basedfundsaregainingtractionas

theyusesophisticatedalgorithmsfortradingdecisions.

GenAIwillalsoaidinalphagenerationthroughportfoliooptimization,improvedoperational

efficiency,andenhancedriskmanagementbyutilizingnewerandmoreadvancedtools.

WealthManagement

GenAIdemocratizeswealthmanagement

bymakingfinancialadvicemoreaccessibleandaffordabletoabroaderclientbase.

Itenhancesclientinteractionbyoffering

personalizedandtailoredrecommendations.Asaresult,profitgainsworth$817millionareexpectedoverthenextthreeyearsforfirms

operatinginthewealthmanagementindustry

PaymentsandFinTech

AIcapabilitiesatfinancialinstitutionshave

increasedfrom30%in2022to37%in2023,

andthisgrowthisexpectedtocontinuein

2024.WithGenAI,themarketsizeofthefintechindustryisanticipatedtoreach$1.5trillion

inrevenueby20230.Thisgrowthwillleadtoimprovedtransactionsecurityandenhancedfrauddetectionsystemsinboththefintech

andpaymentsectors.

TheFinancialIndustryReinvented:GenerativeAIandItsPotential4

GenerativeAI’sRapidGrowthandImpact

A$1.3TrillionPotentialandReal-WorldApplications

fromFinancetoBeyond

The‘GenAI’marketisexploding

rapidly,withBloombergpredictingitwillreach$1.3trillionby2032.ItisestimatedthatGenAIcouldaddtheequivalentof$2.6trillionto$4.4

trillionacrossseveralusecasesif

fullyimplementedacrossindustries.

UnderstandingGenAI

GenAIisasubsetofAIfocusedoncreating

newcontent–includingtext,images,audio,orvideo–thatmimicshuman-generateddata.Itsmodelsgeneratenewcontentbasedonthepatternsandstructurestheylearnfromlargedatasets,utilizingmachinelearning(ML).

Inlate2022,GenAImadeasignificant

breakthroughwithOpenAI’slaunchofChatGPT,whichquicklyattractedover100million

activeusersworldwideinjusttwomonths.ByMarch2023,multiplecompetitorsreleased

theirownversions,andsincethen,GenAIhasexperiencedfrequentupdatesandwidespreadadoptionacrossvariousindustries,includingfinance.

GenAIUseCasesinFinanceandBeyond

GenAI’sadoptionwouldboostproductivityandexpandhumanknowledge.CompaniesareincreasinglydeployingGenAItoolsto

automatetime-consuming,tedioustasksthatpreviouslyrequiredhumanstoassessunstructuredinformation.Thefollowingarecommonareasofdeployment:

1AI-assistedBanking

Improvesbankingexperiencesthroughenhancedsearchfunctionality,aswellaspersonalizedmessagesandinteractions

2Cybersecurity

Identifiesandpreventscybersecuritythreats

3ComplianceandRisk

Createsandstandardizescontractstohelpreducethetimeandeffortrequiredforlegaldocumentation

4FraudPreventionandRiskManagement

Helpsincorporateawiderandrichersetofdataintoriskandfrauddetection.

5InformationAnalysisandSummarization

Createssummariesofbusiness

conversationsandgeneratemeaningfulinsights

TheFinancialIndustryReinvented:GenerativeAIandItsPotential5

TransformingFinance:TheImpactofGenAIontheIndustry

GenAIispoisedtorevolutionizefinancialindustry,makingit

moreefficient,innovative,andpersonalized

•ThemarketsizeofGenAIinthefinancial

industryisprojectedtoexceed$9.4

billionby2032.Manyfinancialfirmsare

discoveringnumerousbenefitsassociatedwithitsadoption.

•AccordingtoanS&PIntelligencereport,

oneinfivebanksgloballyhaslaunched

orisabouttolaunchapplicationsbasedonGenAItechnology,withusecases

rangingfromtrainingcallcenteragentstodetectingfraud.

Banking,Insurance,andCapitalMarketswillhavethehighestimpact

Ananalysisofthetimespentoneachtask,

alongwithanevaluationofthepotentialforautomationandaugmentationbyGenAI,

indicatesthatfinancialsectors–including

banking,insurance,andcapitalmarkets–willlikelyexperiencethemostsignificantimpact.Bankingtopsthelist,withthree-fourthsofalltasksbeinghighlysuitableforautomationoraugmentation.3

Work-timeDistributionbyIndustryandPotentialImpactacrossSelectIndustries

BankingInsurance

CapitalMarkets

Software&PlatformsHealth

Communication&MediaRetail

LifeSciencesHighTechTravel

HigherPotentialforAutomation

HigherPotentialforAugmentation

LowerPotential

forAutomationorAugmentation

27%

34%

39%

30%

33%

37%

31%

32%

37%

32%

37%

31%

33%

42%

25%

35%

34%

31%

36%

28%

36%

37%

34%

29%

38%

31%

31%

38%

35%

27%

Source:Accenture

GenAIisrapidlygainingmomentuminthefinancialindustry,withspendingonthesetechnologiesacceleratingatafastpace.Lookingahead,banksareexpectedtoinvest$85billioninGenAIby2030.

Work-timeDistributionbyIndustryandPotentialImpactacrossSelectIndustries

76%

62%

68%

FraudDetectionandPrevention

CustomerServiceandPersonalization

ComplianceandRisk

Source:KPMGSurvey2023

TheFinancialIndustryReinvented:GenerativeAIandItsPotential6

HarnessingGenAICommercialBanking

CapturingtheGenAIWaveinBanking

•GenAIcouldaddbetween$200billionand$340

billioninannualvalue,or2.8%to4.7%oftotal

industryrevenue.Thisgrowthwillprimarilybedrivenbyenhancedproductivity.

•Theindustryisexpectedtoseea30%increaseinemployeeproductivityby2028,particularlyinbanking.

•ThemajorreasonforthisisthatGenAIhasthepotentialtoimpactnotjustfunctionssuchas

sales,marketing,andcustomerinteraction,butalsotocreatesignificantlyvalueinareaslikeriskmanagement,compliance,technology,HR,andlegal.

GenAIUseCasesSegmentedacrossVariousFunctions

FrontEndAdvisoryOperationsProductBackEnd

SalesandMarketing

ProstingRelationship

OnboardingManagement

FinancialAdvice

bServicingbProductbandProcessesDevelopment

Risk,Legal,and

CorporateFunctions

Compliance

•Hyper-

personalization,omnichannel

engagement,

andacquisition

•Client

acquisitionthrough

chatbotsandengagement

•Salestrainingforsimulatingclient

conversations

•Optimizationofpricingandfeestructuresas

perclients

•Streamlinetheonboarding

and

documentationprocessfor

customers,

includingKYCprocess

•Customer

lifetimevaluemodeling

•Summarizecalltranscriptsandprovideinsights

•CoachagentsandcustomerservicePOCsandconduct

performance

evaluation

•Chatbots

andinterfaceforusersfor

seamlesscustomersupport

•Interpret

customer

needsand

providetailored

solutions

•Draft

customizedperiodic

research

reportsforcustomer

distribution

•Investigate

andresolve

reconciliationdiscrepanciestoenhance

dataqualityingoldensourcesystems

•Analyze

shiftsinclient

behaviorby

reviewingpasttransactions

andforecastingcashflowsto

identifytheunderlyingcauses

•Capture

market

intelligence,includingtrendsandcompetitorofferings

•Provide

intelligent

payment

routingand

payment

repairssystems

•Optimizebranch

networks

•Systemsfor

earlywarningsandcreditriskmonitoring

•Knowledgedatabaseforlegalteams

•Assessmentofcollateralriskand

transactionmonitoring

•Frauddetectionbyoffering

suspicious

activityreports

•Talent

acquisitionandanalysisofemployeeperformanceandoptimalutilizationof

resources

•Generate

syntheticdataandcodes

•Assistinfinancialplanning

Non-exhaustiveusecases

CapturingtheGenAIWaveinBanking

Factorsthatmakebankswell-suitedforintegratingGenAIapplications:

•OngoingDigitizationandLegacyIT

Systems:Bankshavelonginvested

intechnology,resultinginsignificant

technicaldebtandacomplex,siloedITarchitecture.

•ExtensiveCustomer-facingWorkforce:

Thebankingsectorreliesonmanyserviceprofessionals,includingcallcenter

agentsandfinancialadvisersinwealthmanagement.

•StrictRegulatoryEnvironment:Asahighlyregulatedindustry,bankingmustaddressnumerousrisk,compliance,andlegal

requirements.

•White-collarWorkforce:GenAIhasthe

potentialtobenefittheentireorganizationbyassistingemployeeswithtaskssuchaswritingemailsandcreatingbusinesspresentations.

TheFinancialIndustryReinvented:GenerativeAIandItsPotential7

AstheBenefitsofGenAIBecomeIncreasinglyEvident,BanksareProgressivelyExperimentingwithandIntegratingtheTechnology

Banks

Examples

BarclaysisusingGenAItodetectsfraudulenttransactionsandimprovescompliancewithregulations.

JPMorganchase

JPMorganChasehasdevelopedaGenAImodeltoanalyzestatementsfromtheU.S.FederalReservetodeterminethenatureofpolicysignals.

GoldmanSachsisdevelopingmultipleinitiativestointegrateGenAIintoits

operations.AmongthemostadvancedprojectsarethosefocusedoncodingthroughEnglish-languagecommandsandgeneratingdocumentation.

In2022,NatWestBankindicateda6%reductioninfraudasashareofUKIndustry(from19%to13%).Italsoreporteda5xincreaseinclick-throughbypersonalizedlendingontailoredcustomeroffersontheincomeside.

AllyBankleveragesGenAItotranscribeandsummarizecustomerservicecalls,boostingefficiencyandenablingfasterissueresolution.

WellsFargoisusingLargeLanguageModels(LLMs)tohelpidentifytheinformationclientsneedtoreporttoregulatorsandtoenhancetheirbusinessprocesses.

BBVA

BancoBilbaoVizcayaArgentaria(BBVA)exemplifiesabankthathassuccessfullytransformeditsoperatingmodeltoenhanceend-to-endpersonalization,optimizecustomerexperiences,andboosttheeffectivenessofcustomeracquisitionandcross-selling.Notably,thebankhasreporteda30%increaseinitsauto-loansalesconversionrate,whichisoneofitskeymetrics.

OverallOutlook

•WithmanybanksalreadyexperimentingwithandintegratingGenAIapplications

intotheirsystems,theyareanticipatedtocontinueinvestinginandexperimenting

withGenAImodelsoverthenext2–5years.

•Inthenearterm,bankswilllikelyfocus

onincrementalinnovations,achieving

minorefficiencyimprovementsand

enhancementstailoredtospecificbusinessrequirements.

•Employeeswillmaintainanoversightrole,ensuringaccuracy,precision,andcomplianceasthetechnologyevolves.

•Around71%ofbusinesscustomersconsidertherelationshipmanagertobethemostinfluentialfactorwhenselectingabank

anddecidingonlendingproducts.

•Hyper-personalizationofserviceswillplayasignificantroleinfosteringmoremeaningfulrelationshipswithcustomers.

TheFinancialIndustryReinvented:GenerativeAIandItsPotential8

HarnessingGenAIinInsurance

CapturingtheGenAIWaveinInsurance

•Traditionallyseenasslowtoadoptnewtechnology,insurersacrossvarioussectorsarenowactively

investinginGenAIandformingspecializedteams.

•Bothnear-andlong-termapplicationsofGenAIintheinsuranceindustryaimtoimproveunderwriting,predictiveriskassessment,andpersonalized

productrecommendations.

•TheuseofGenAIininsuranceindustrycouldboostrevenueby$1.1trillion.

•Therevenueof$400billioncouldcomefrom

improvementsinpricing,underwriting,and

promotion,while$300billioncouldbegeneratedfromenhancedcustomerserviceandpersonalizedofferings.

GenAIUseCasesSegmentedacrossVariousFunctionsinInsurance

FrontEndProductOperationsBackEnd

CustomerEnquiry

Quote

Generation

ProductDevelopment

Claims

Processing

CustomerSupport

Underwriting

Risk,Legal,and

ITand

Operations

Compliance

•Code

generationanddebugging

•Customize,

on-demand

reportingoffinancials,

operational

andtech

incidents,KPIs,andmore

•Assistvirtual

assistantsandchatbotsin

understandingandrespondingtocustomer

inquiriesmorenaturallyand

conversationally

•Analyze

customer

datatoenablepersonalizedrecommen-

dationsandsupport

•Facilitatethe

generation

ofinsurance

quotesbasedoncustomer

inputsand

historical

data,ensuringaccuracyandrelevance

•Improve

product

designs,userinterfaces,

guidelines,anddocumentation

•Offer

cutting-edge,data-informedproduct

solutions

•Automatetheverificationofclaimsdata

againstpolicycontractsandschedules

•Enhancecustomer

support

byoffering

instant,24/7

assistanceto

policyholders,handling

inquiriesand

resolvingissuesquickly

•Prospect

qualification,opportunitytargeting,

andcustomersegmentation

•Generate

coverage

explanations,policy

summaries,

andcustomer

communi-

cationswhile

automatingtheinspectionandcomparisonofdocuments

•Reviewandsummarizelegaland

compliancedocuments

•Draftriskandperformancereports

•Automate

analysisof

customer,

policy,and

historicaldatatodeliver

insights

formore

accurateriskassessmentandpricing

Non-exhaustiveusecases

CapturingtheGenAIWaveinBanking

•FraudDetection:AIalgorithmscanbetrainedtodetectpatternsoffraudininsuranceclaims,helpingcompaniesidentifyfraudulentactivitiesbeforetheyresultinsignificantfinanciallosses.

•PersonalizationforCustomers:Byleveragingcustomerdata,insurerscanutilizeAItodeveloppersonalizedproductsandservicesthatbettermeetindividualcustomerneeds.

•FasterClaimsProcessing:AIcanautomateroutinecustomerinquiriesandclaims

processing,allowinginsurerstoprovidemoreefficientservicewith24/7support.

•LegacySystemSolutions:AIcanextractthelogicanddatafromlegacysystemswhile

enablingAPIstofeedintoAIsolutions.

•UnderwritingProcess:GenAIcanenhancetheunderwritinganddistributionprocess.Notably,69%ofinsurersarefocusingontransformingspecificareasofthevaluechaintoachieve

quickwins.

•LearningandDevelopment(L&D):ThefutureofL&D,aidedbyAI,willlikelyinvolveconstantreskilling,makinglearnersmoreagileand

responsivetoindustryandorganizationalchanges.

TheFinancialIndustryReinvented:GenerativeAIandItsPotential9

CapturingtheGenAIWaveinInsurance

InsurersareseekingtoleverageGenAIacrossallinsuranceproducts:

Insurers

Examples

TokioMarineNorthAmericaisalsoexploringGenAI,includingreal-timetranslationofprogramminglanguagesandtheautomationofmanualtaskssuchasdraftingreportsandcreatingmarketingcontent.

Anthem.

AnthemInc.ispartneringwithGoogleCloudtodevelopasyntheticdataplatform,aimingtogenerate1.5to2petabytesofdataofmedicalhistoriesandhealthcareclaims.ThisrepresentsasignificantusecaseofGenAItoincreaseoperational

efficiency.

kemonadle

Lemonade,Inc.,a$256millionNewYork-basedP&Cinsurer,isutilizingGenAIacrossvariousapplications,expectingasignificantfinancialimpactby2024.

OverallOutlook

•RevenueGrowth:GenAIhaspotentialtoincreaserevenueintheInsuranceIndustryby15–20%whilereducingcostsby5–15%.

•Profitability:Strategicallyinvestingin

GenAIenablesinsurerstouncovernew

growthopportunities,improveproduct

offerings,andbroadentheirmarketreach,ultimatelyboostingprofitability.

•OperationalEfficiency:GenAIwill

significantlyenhanceback-officesupportandpolicyservicingovertime,positivelyimpactingoperationalcostandcustomersatisfaction.

•CustomerExperience:GenAIcanprovidetailoredsupportandcustomizedsolutions,reducingcustomersconfusionregardinginsuranceproductsandsimplifyingthe

processofpurchasingdecision.

TheFinancialIndustryReinvented:GenerativeAIandItsPotential10

HarnessingGenAIinCapitalMarket&Asset

Management

OneoftheEarlyAdoptersofGenAIintheIndustry

•TheassetmanagementindustryhasleveragedAIforseveralyears,primarilytogenerateinvestmentideasandoptimizeportfolioallocation.

•Technologyhaslongbeenintegraltocapital

marketsactivities,andAI/MLcanbeviewedas

extensionsofareaslikequantitativefinance,whichalreadyreliesonadvancedstatisticalanalysis.

•Recentadvancementsincludetheuseofdeep

learningmodelstoimprovedecision-makingandoptimizeportfolios.GenAIcanfurtherenhance

tradingoperations,allowingteamstoconductcomplexresearchactivitiesandgainvaluableinsightsintokeyriskindicators(KRIs).

GenAIUseCasesSegmentedacrossVariousFunctionsinAssetManagement

FrontEndProductInvestment&ResearchBackEnd

Salesand

Fund

Raising

Marketing

Client

Servicing

ProductPortfolio

DevelopmentManagement

bResearchbTradingb

and

Risk,Legal,ITand

ComplianceOperations

•Createtailored

marketing

materialsand

scriptstargetedtovarious

segmentsorchannels

•Synthesize

market

feedback

andcustomer

behaviordata

togenerate

marketing

campaign

ideasandplans

•Enhancethe

searchand

summarizationoflegaland

compliancedocuments

•Draftriskandperformancereports

•Enhancefraud

detectionby

identifying

unusualpatternsinfinancial

transactions,

improvingtheabilitytodetectandrespondtopotentialthreatsswiftly.

•Interpret

inquiries,and

respondina

customizedway

•Draft

customizedperiodic

investorreports

•Leverageclientdata,market

conditions,

andhistoricalperformancetoprovide

personalizedinvestment

recommen-dations

•Summarizeandcomparemarketintelligence,

includingtrendsandcompetitorofferings

•Brainstormnewproduct/solutionideastailoredto

clientneeds

•Drafta

businessplan

incorporating

datafrom

multiplesourcesforcommittee

approval

•Simulate

variousmarketscenariosby

considering

factorssuchasrisktolerance,investment

goals,andchangingmarket

conditions

•Generate

marketorrisk

scenariosalongwithsynthetichistoricaland

predicteddataforbacktesting

•Develop

personalizedinvestment

strategies

tailoredto

individual

clientneeds.

preferences,andethical

considerations

•Assistin

anticipatingtrendsandmaking

informed

investmentdecisions

alignedwitheconomic

conditions

•Analyzevast

amounts

offinancial

reports,news

articles,analystcomments,andmarketdatatorevealhidden

patterns

•Producerealisticsimulationsof

hypotheticalmarket

scenarios

•Substantiatetradingwheelrulesby

incorporatingreal-time

market

information

•Monitortrade

lifecycleeventstoswiftlyidentifybottlenecks,

enabling

proactive

intervention

andpreventingdelays

•Identify

anomaliesin

datatodetectandprevent

fraud

•Enhancethe

searchand

summarizationoflegaland

compliancedocuments

•Draftriskandperformancereports

•Enhancefraud

detectionby

identifying

unusualpatternsinfinancial

transactions,

improvingtheabilitytodetectandrespondtopotentialthreatsswiftly.

•Codegenerationanddebugging

•On-demand

customized

reportingof

financials,

operationalandtechincidents,KPIs,andmore

•Automated

dataanalysisanddocumentprocessing

Non-exhaustiveusecases

KeyApplicationsacrossInvestmentManagement&Execution

•GenAIisrecognizedasapowerfultoolthatcan

significantlyenhancetheinvestmentdecision-

makingprocessbyanalyzingvastamountsofdata,identifyingpatterns,andautomatingroutinetasks.Thisallowsprofessionalstofocusmoreonstrategicactivities,suchasalphageneration.

•Additionally,GenAIplaysacriticalroleinassessingpotentialrisksbysimulatingvariousmarket

scenariosandstress-testingportfolios,helpingassetmanagersdevelopstrategiestomitigatethoserisks.

•TraderscanleverageamixofAImodelstoimprovetheirtradingdecisions.Forinstance,theymightuseonemodeltogenerateanidea,andthenemploya

GenAImodeltotestwhetherthatideawouldhavebeensuccessfulinthepast.

•AstheSECshortensthestandardsettlementcyclefrom‘T+2’to‘T+1,’firmsarecompelledtoreassesslegacysystems,streamlinebatchprocesses,andenhancestraight-throughprocessing(STP).GenAIoffersasolutionbyautomatingandtransformingpost-tradeoperations.

•IntegratingGenAIintotheseworkflowsallows

firmstoboostproductivity,scalability,andriskmanagement.Forinstance,whenaddressing

settlementfails,GenAIenablesquickanalysisofcomplexissuesandfacilitatespromptaction.

TheFinancialIndustryReinvented:GenerativeAIandItsPotential11

CapturingtheGenAIWaveinAssetManagement

AssetManagementFirmsareActivelyExploringandImplementingGenAI

FinancialInstitutions

Examples

JPMorganchase

JPMorganhaslaunchedIndexGPT,whichleveragesOpenAI’sGPT-4modelto

constructthematicinvestmentbasketsbasedonemergingtrends.Thistool

usesAI-generatedkeywordsextractedfromnewsarticlestoinforminvestmentdecisions,showcasingadirectapplicationofGenAIinportfoliomanagement.

ThefirmisdevelopingsolutionsthatutilizeGenAItoassistadvisorsincustomer

service.Thisincludescreatingchatbotsdesignedtohandleclientinquiries,therebystreamliningcommunicationandimprovingresponsetimes.

CitigroupisleveragingGenAItoevaluatetheimpactofnewU.S.capitalregulations.

BroadbridgeFinancialSolutionshasannouncedthelaunchofBondGPT,atooldesignedtoanswerbond-relatedquestionsandassistusersinidentifying

corporatebondsontheLTXplatform,therebyenhancingliquidityandpricediscovery.

GenAIandRobo-advisors

AdvantagesofRobo-advisors

•Cost-effective:Robo-advisorsprovidetraditionalinvestmentmanagement

servicesatsignificantlylowerfeesthanhumanfinancialadvisors,withmuch

lowerminimuminvestmentrequirementscomparedtofinancialplanners.

•User-friendlyandSecure:Robo-

advisorssimplifyinvestingacrossvariousassetclassesthroughmobileorweb

applications.Theyprovidecomprehensiveportfoliomanagementtools,offeringusersgreaterflexibilityandsecurity.

Algorithm-basedInvestmentFunds

Theemergenceofalgorithm-based

investmentfundsrepresentsasignificantadvancementfacilitatedbyGenAI.

•AutomatedTradingwithReal-timeData:

GenAI-poweredfundsusealgorithms

toanalyzereal-timedataandexecute

tradesautomatically,optimizingportfolioperformance.

•ReducedHumanError:Automation

minimizeshumanerrorsandbiases,enhancingconsistencyandrisk

managementininvestmentdecisions.

OverallOutlook

•OperationalEfficiency:GenAIcanautomate

routinetasks,enablingassetmanagersto

streamlineoperationsandreducecosts.For

instance,itcanassistwithtradeprocessingandperformancemanagement.

•CostReduction:Automationleadstosubstantialcostreductionsinoperationalprocesses,allowingfirmstoinvestmoreininnovationratherthan

maintaining