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ByMarkPurdyandPaulDaugherty
CONTENTS
Thenewfactorofproduction4
ThreechannelsofAI-ledgrowth12
FactoringinAI15
ClearingthepathtoanAIfuture21
2|Whyartificialintelligenceisthefutureofgrowth
Increasesincapitalandlaborarenolonger
drivingthelevelsofeconomicgrowththe
worldhasbecomeaccustomedtoanddesires.Fortunately,anewfactorofproductionisonthehorizon,anditpromisestotransformthebasisofeconomicgrowthforcountriesacrosstheworld.
Therehasbeenmarkeddeclineinthe
abilityofincreasesincapitalinvestment
andinlabortopropeleconomicprogress.Thesetwoleversarethetraditionaldriversofproduction,yettheyarenolongerabletosustainthesteadymarchofprosperityenjoyedinpreviousdecadesinmost
developedeconomies.
Butlong-termpessimismisunwarranted.Withtherecentconvergenceofa
transformativesetoftechnologies,
economiesareenteringanewerainwhichartificialintelligence(AI)hasthepotentialtoovercomethephysicallimitationsof
capitalandlaborandopenupnewsourcesofvalueandgrowth.
Indeed,Accentureanalyzed12developedeconomiesandfoundthatAIhasthe
potentialtodoubletheirannualeconomicgrowthratesby2035.
Toavoidmissingoutonthisopportunity,
policymakersandbusinessleadersmust
preparefor,andworktoward,afuture
withartificialintelligence.TheymustdosonotwiththeideathatAIissimplyanotherproductivityenhancer.Rather,theymust
seeAIasthetoolthatcantransformour
thinkingabouthowgrowthiscreated.
3|Whyartificialintelligenceisthefutureofgrowth
THENEWFACTOROFPRODUCTION
Acrosstheglobe,ratesofgrossdomesticproduct(GDP)growthhavebeenshrinking.
Moreover,thishasbeentrueforthreedecades.Keymeasuresofeconomicefficiencyare
trendingsharplydownward,whilelabor-forcegrowthacrossthedevelopedworldislargelystagnant.Itisevenindeclineinsomecountries(seeFigures1to4).
Giventhispooroutlook,commentators
saythatastagnanteconomyisthe“new
normal.”Onanevenmorepessimisticnote,economistRobertGordonarguesthat
productivitygrowthoverthenextquartercenturywillcontinueatthesluggishpacewehaveexperiencedsince2004.1He
believesthatthepasttwocenturiesof
“GreatInventions,”suchasthesteamshipandtelegraph,areunlikelytoberepeated.Andthisdeficitofinnovation,combined
withunfavorabledemographictrends,
flaggingeducationalattainmentand
risingwealthinequality,willslow
economicprogress.
So,areweexperiencingtheendofgrowthandprosperityasweknowit?
Asgrimasmuchofthedataundoubtedlyis,itmissesanimportantpartofthestory.
Thatmissingelementishownew
technologiesaffectgrowthintheeconomy.
Traditionally,capitalandlaborarethe
“factorsofproduction”thatdrivegrowthintheeconomy(seeFigure5).Growthoccurswhenthestockofcapitalorlaborincrease,orwhentheyareusedmoreefficiently.Thegrowththatcomesfrominnovationsand
technologicalchangeintheeconomyis
capturedintotalfactorproductivity(TFP).
EconomistshavealwaysthoughtofnewtechnologiesasdrivinggrowththroughtheirabilitytoenhanceTFP.Thismadesenseforthetechnologiesthatwehaveseenuntilnow.Thegreattechnologicalbreakthroughsoverthelastcentury—
electricity,railwaysandIT—boostedproductivitydramaticallybutdidnotcreateentirelynewworkforces.
4|Whyartificialintelligenceisthefutureofgrowth
Today,wearewitnessingthetake-
offofanothertransformativesetof
technologies,commonlyreferredtoas
artificialintelligence(see“Whatisartificialintelligence?”).ManyseeAIassimilarto
pasttechnologicalinventions.Ifwebelievethis,thenwecanexpectsomegrowth,butnothingtransformational.
ButwhatifAIhasthepotentialtobenot
justanotherdriverofTFP,butanentirely
newfactorofproduction?Howcanthisbe?
ThekeyistoseeAIasacapital-laborhybrid.AIcanreplicatelaboractivitiesatmuch
greaterscaleandspeed,andtoevenperform
sometasksbeyondthecapabilitiesof
humans.Nottomentionthatinsomeareasithastheabilitytolearnfasterthanhumans,ifnotyetasdeeply.Forexample,byusingvirtualassistants,1,000legaldocumentscanbereviewedinamatterofdaysinsteadoftakingthreepeoplesixmonthstocomplete.2
Similarly,AIcantaketheformofphysical
capitalsuchasrobotsandintelligent
machines.Andunlikeconventionalcapital,suchasmachinesandbuildings,itcan
actuallyimproveovertime,thankstoits
self-learningcapabilities.
Basedonouranalysisandmodeling,we
canillustratewhathappenswhenAIis
seenasanewfactorofproductionrather
thanjustaproductivityenhancer.The
impactonprojectedgrowthfortheUnitedStates,forexample,isdramatic.AsFigure6shows,thefirstscenarioisbusiness-as-
usual,assumingnoAIeffect.Thesecond
indicatesthetraditionalviewofAIasaTFP
enhancerwhereithasalimitedimpact
ongrowth.Thethirdscenarioshowswhat
happenswhenAIcanactasanewfactorofproduction—thereisatransformativeeffectongrowth.ThisabilityofAItocomplementandenhancetraditionalfactorsof
productioniswhereitstruepotentiallies.
TheadvanceofAIisleadingus
torethinkfundamentaleconomic
relationshipsandhowvalueiscreated.
DAVIDLEHRER,CEO,CONATIX
5|Whyartificialintelligenceisthefutureofgrowth
Developedeconomies:Theendofgrowth?
Onavarietyofkeymeasures,economicdataseemstosupportamood
oflong-termpessimism.
FIGURE1:GROSSDOMESTICPRODUCT
Sincethe1980s,GDPgrowthhassteadilyslowedinmanylargeeconomies.
5.0
JAPAN
FRANCE
4.0
3.0
2.0
1.0
0.0
3.0
UNITEDSTATES
UNITEDKINGDOM
ITALY
GERMANY
2.1
1.1
1.1
1980s
1990s
2000s
2010s
-1.0
RealGDPgrowth(%,annualaverageovertheperiod)
NB:Datapointsacrossthedashedlinesindicatetheaverageforthesixcountries.
Source:OxfordEconomics
6|Whyartificialintelligenceisthefutureofgrowth
FIGURE2:PRODUCTIVITY
Akeymeasureofhowwellaneconomyusesitsexistingcapitalandpeopleis“totalfactorproductivity”(TFP).DatashowaweakeningofTFP,especiallyinthepast10years.
3.0
2.5
JAPAN
UNITEDSTATES
UNITEDKINGDOM
FRANCE
ITALY
GERMANY
2.0
1.5
1.0
0.5
0.0
-0.5
-1.0
-1.5
Totalfactorproductivity(%,annualaverageovertheperiod)
Source:TheConferenceBoard,TotalEconomicDatabase
7|Whyartificialintelligenceisthefutureofgrowth
FIGURE3:CAPITALEFFICIENCY
Themarginalcapitalefficiencyrate,anindicatoroftheproductivityofcapitalsuchasmachinesandbuildings,hassteadilydroppedovera50-yearperiod.
50
JAPAN
UNITEDSTATES
GERMANY
UNITEDKINGDOM
25
0
19661971197619811986199119962001200620112016
Marginalcapitalefficiency(%,6-yearmovingaverage)
Source:EuropeanCommission,AnnualMacroeconomicDatabase
FIGURE4:LABOR
Aspopulationsageandbirthratesslow,fewerpeopleareavailabletopickuptheslackintheworkforce.
2000-20152016-2030
0.9
0.3
0.7
0.6
0.2
0.6
0
0.5
0.2
0.4
0.4
0.2
0.1
0.02
UNITED
STATES
-0.6
SPAIN
-0.1
UNITEDBELGIUMSWEDENAUSTRIA
KINGDOM
-0.05
-0.3
-0.3
FRANCENETHERLANDSITALY
-0.2
FINLAND
-0.1
-0.7
GERMANY
-0.69
-0.73
JAPAN
Workingagepopulation(%,annualaveragegrowthovertheperiod)
Source:OxfordEconomics
8|Whyartificialintelligenceisthefutureofgrowth
23,835
TRADITIONAL
GROWTHMODEL
GROWTH
▲
ADAPTEDGROWTHMODEL
FIGURE5:THEAIGROWTHMODEL
OurmodeladaptsthetraditionalgrowthmodelbyincludingAIasafactorofproduction.
Capital
Labor
TFP
Capital
Labor
AI
TFP
NB:indicatesthechangeinthatfactor.
Source:Accentureanalysis
FIGURE6:THREEGROWTHSCENARIOSFORTHEUNITEDSTATES’ECONOMY
AIasanewfactorofproductioncanleadtosignificantgrowthopportunitiesfortheUnitedStates’economy.
23,835
897
7,408
23,835
897
UNITEDSTATES’GVA
AI-INDUCEDTFP
ADDITIONAL
AI-INDUCEDGROWTH
Projectedgrowth
withoutAI
Projectedgrowth
withAI’simpact
limitedtoTFP
Projectedgrowth
withAIasnew
factorofproduction
UnitedStates’grossvalueadded(GVA)in2035(US$billion)
Source:AccentureandFrontierEconomics
9|Whyartificialintelligenceisthefutureofgrowth
CONTENTS
10|Whyartificialintelligenceisthefutureofgrowth
WHATISARTIFICIALINTELLIGENCE?
AIisnotanewfield;muchofitstheoreticalandtechnologicalunderpinningwasdevelopedoverthepast70yearsbycomputerscientistssuchasAlan
Turing,MarvinMinskyandJohnMcCarthy.Today,thetermreferstomultipletechnologiesthatcanbecombinedindifferentwaysto:
Comprehend
Naturallanguage
processingandinferenceenginescanenable
AIsystemstoanalyze
andunderstandthe
informationcollected.
Thistechnologyisusedtopowerthelanguagetranslationfeatureof
searchengineresults.
Act
AnAIsystemcan
takeactionthroughtechnologiessuchasexpertsystemsandinferenceengines,or
undertakeactionsinthephysicalworld.Auto-pilotfeaturesandassisted-
brakingcapabilitiesin
carsareexamplesofthis.
Sense
Computervisionandaudio
processing,forexample,
areabletoactively
perceivetheworldaround
thembyacquiringand
processingimages,sounds
andspeech.Theuseof
facialrecognitionatborder
controlkiosksisone
practicalexampleofhowit
canimproveproductivity.
Allthreecapabilitiesareunderpinnedbytheabilitytolearnfromexperienceandadapt
overtime.AIalreadyexiststosomedegreeinmanyindustriesbuttheextenttowhichitisbecomingpartofourdailylivesissettogrowfast.
10|Whyartificialintelligenceisthefutureofgrowth
CONTENTS
11|Whyartificialintelligenceisthefutureofgrowth
TwokeyfactorsareenablingAIgrowth:
1.Unlimitedaccesstocomputingpower.
PubliccloudcomputingwasestimatedtoreachalmostUS$70billionin2015worldwide.Datastoragehasalsobecomeabundant.
2.Growthinbigdata.
Globaldatahasseenacompoundannualgrowthrate(CAGR)ofmorethan50percentsince
2010asmoreofthedevicesaroundushavebecomeconnected.AsBarrySmyth,professorof
computerscienceatUniversityCollegeDublin,toldus:“DataistoAIwhatfoodistohumans.”
Soinamoredigitalworld,theexponentialgrowthofdataisconstantlyfeedingAIimprovements.
EmergingAItechnologies
AITECHNOLOGIES
ILLUSTRATIVESOLUTIONS
ComputerVision
VirtualAgents
AudioProcessing
Sense
Identity
Analytics
CognitiveRobotics
NaturalLanguageProcessing
KnowledgeRepresentation
Comprehend
Speech
Analytics
RecommendationSystems
DataVisualization
MachineLearning
ExpertSystems
Act
Source:Accentureanalysis
11|Whyartificialintelligenceisthefutureofgrowth
THREECHANNELS
OFAI-LEDGROWTH
WithAIasthenewfactorofproduction,itcandrivegrowthinatleastthreeimportant
ways.First,itcancreateanewvirtualworkforce—whatwecall“intelligentautomation.”Second,AIcancomplementandenhancetheskillsandabilityofexistingworkforces
andphysicalcapital.Third,likeotherprevioustechnologies,AIcandriveinnovationsintheeconomy.Overtime,thisbecomesacatalystforbroadstructuraltransformationaseconomiesusingAInotonlydothingsdifferently,theywillalsododifferentthings.
Intelligentautomation
ThenewAI-poweredwaveofintelligentautomationisalreadycreatinggrowth
throughasetoffeaturesunlikethoseoftraditionalautomationsolutions.
Thefirstfeatureisitsabilitytoautomate
complexphysicalworldtasksthatrequireadaptabilityandagility.Considertheworkofretrievingitemsinawarehouse,wherecompanieshavereliedonpeople’sabilitytonavigatecrowdedspacesandavoid
movingobstacles.Now,robotsfromFetchRoboticsuselasersand3Ddepth-sensorstonavigatesafelyandworkalongside
warehouseworkers.Usedintandemwith
people,therobotscanhandlethevast
majorityofitemsinatypicalwarehouse.3
Whereastraditionalautomationtechnologyistaskspecific,theseconddistinctfeatureofAI-poweredintelligentautomationisitsabilitytosolveproblemsacrossindustriesandjobtitles.Forinstance,Amelia—anAI
platformbyIPsoftwithnaturallanguageprocessingcapabilities—hassupportedmaintenanceengineersinremote
locations.Havingreadallthemanuals,
Ameliacandiagnoseaproblemand
suggestasolution.4Thisplatformhasalsolearnedtheanswerstothe120questions
mostfrequentlyaskedbymortgagebrokersandhasbeenusedinabanktohandle
suchfinancialqueries,traditionallyalabor-intensivetask.5
12|Whyartificialintelligenceisthefutureofgrowth
Thethirdandmostpowerfulfeatureof
intelligentautomationisself-learning,
enabledbyrepeatabilityatscale.Amelia,
likeaconscientiousemployee,recognizesthegapsinherownknowledgeandtakesstepstoclosethem.IfAmeliaispresentedwithaquestionthatshecannotanswer,
sheescalatesittoahumancolleague,
thenobserveshowthepersonsolvesthe
problem.Theself-learningaspectofAIis
afundamentalchange.Whereastraditionalautomationcapitaldegradesovertime,
intelligentautomationassets
constantlyimprove.
Laborandcapitalaugmentation
AsignificantpartoftheeconomicgrowthfromAIwillcomenotfromreplacing
existinglaborandcapital,butinenablingthemtobeusedmuchmoreeffectively.
Forexample,AIcanenablehumansto
focusonpartsoftheirrolethataddthe
mostvalue.Hotelstaffspendalotof
theirtimemakingroutineroomdeliveries.WhynotassignthetasktoRelay,an
autonomousserviceindustryrobot
developedbySavioke,instead?Lastyear,theRelayfleetmademorethan11,000
guestdeliveriesinthefivelargehotel
chainswhereitisdeployed.AsSteve
Cousins,CEOofSavioke,toldus:“Relayenablesstafftoredirecttheirtimetoward
increasingcustomersatisfaction.”
Also,AIaugmentslaborbycomplementing
humancapabilities,offeringemployeesnewtoolstoenhancetheirnatural
intelligence.Forexample,Praedicat,acompanyprovidingriskmodeling
servicestopropertyandcasualtyinsurers,isimprovingunderwriters’risk-pricing
abilities.Usingmachinelearningand
bigdataprocessingtechnologies,itsAI
platformreadsmorethan22millionpeer-reviewedscientificpaperstoidentify
seriousemergingrisks.Asaresult,
underwriterscannotonlypriceriskmoreaccurately,butalsocreatenewinsuranceproducts.6
AIcanalsoimprovecapitalefficiency—
acrucialfactorinindustrieswhereit
representsalargesunkcost.Forinstance,inmanufacturing,industrialrobotics
companyFanuchasteamedupwithCiscoandotherfirmstocreateaplatformto
reducefactorydowntime—estimatedat
onemajorautomotivemanufacturerto
costUS$20,000perminute.7TheFanuc
IntelligentEdgeLinkandDrive(FIELD)
systemisananalyticsplatformpowered
byadvancedmachinelearning.Itcapturesandanalyzesdatafromdisparateparts
ofthemanufacturingprocesstoimprovemanufacturingproduction.AlreadyFIELDhasbeendeployedinan18-month“zerodowntime”trialatonemanufacturer,
whereitrealizedsignificantcostsavings.8
13|Whyartificialintelligenceisthefutureofgrowth
OftenpeopleonlythinkofAIboosting
growthbysubstitutinghumans,
butactuallyhugevalueisgoingtocomefromthenewgoods,services
andinnovationsAIwillenable.
DAVIDAUTOR,PROFESSOROFECONOMICS,MIT
Innovationdiffusion
Oneoftheleast-discussedbenefitsof
artificialintelligenceisitsabilityto
propelinnovationsasitdiffusesthroughtheeconomy.
Takedriverlessvehicles.Usinga
combinationoflasers,globalpositioningsystems,radar,cameras,computer
visionandmachinelearningalgorithms,driverlessvehiclescanenableamachine
tosenseitssurroundingsandact
accordingly.NotonlyareSiliconValleytechnologycompaniesenteringthe
market,buttraditionalcompaniesare
buildingnewpartnershipstostayrelevant.
Forinstance,BMWiscollaboratingwith
ChineseInternetsearchgiantBaidu9;FordisworkingwithMassachusettsInstituteofTechnology(MIT)andStanfordUniversity.10
Asinnovationbegetsinnovation,the
potentialimpactofdriverlessvehicleson
economiescouldeventuallyextendwell
beyondtheautomotiveindustry.Mobile
serviceproviderscouldseeevenmore
demandfromsubscribersasdrivers,
nowfreetoenjoyleisureactivitieswhile
traveling,spendmoretimeontheInternet,which,inturn,couldcreatenew
advertisingopportunitiesfortheservice
providersandsellingopportunitiesfor
theirretailerpartners.
14|Whyartificialintelligenceisthefutureofgrowth
Theinsuranceindustrycouldcreatenewrevenuestreamsfromthemassesofdata
thatself-drivingvehiclesgenerate.By
combiningvehicledatawithotherstreams
suchassmartphonesandpublictransport
systems,theycouldnotonlybuildupamorecompletepictureoftheircustomers,butalsotheycouldcreatenewpoliciesthatinsure
totalcustomermobility,notjustdriving.
Real-time,accurateroadandtrafficdata
generatedbydriverlessvehiclescould
supplementothersourcesofinformationtoenablelocalauthoritiestochangethewaytheychargeforroadusage.Standardvehicleregistrationcouldbereplacedwithmoreequitableandconvenientpay-per-useroadtolls,withinstantlyupdatedpricestohelpreducecongestion.
Therecouldevenbesignificantsocial
benefits.Driverlessvehiclesareexpectedtoreducethenumberofroadaccidents
andtrafficfatalitiesdramatically,making
thetechnologypotentiallyoneofthe
mosttransformativepublichealth
initiativesinhumanhistory.Theycouldalsogivebackindependencetopeoplewhocannotdriveduetodisability,
enablingthemtotakeupjobsfrom
whichtheywerepreviouslyexcluded.And,evenamongthosewhocandrive,driverlesscarswillmaketravelingfar
moreconvenient,freeinguptimethatpeoplecandedicatetoworkorleisure.
FACTORINGINAI
TounderstandthevalueofAIasanewfactorofproduction,Accenture,in
associationwithFrontierEconomics,modeledthepotentialimpactofAIfor12
developedeconomiesthattogethergeneratemorethan50percentoftheworld’seconomicoutput.11
Ourresultsrevealunprecedentedopportunitiesforvaluecreation.Wefind
thatAIhasthepotentialtodoubleannualeconomicgrowthratesacrossthesecountries—apowerfulremedyforslowingratesinrecentyears.
15|Whyartificialintelligenceisthefutureofgrowth
Boostingnationaleconomicgrowth
Toestimatetheeconomicpotentialof
AIwecomparedtwoscenariosforeach
country.Thefirstisthebaseline,which
showstheexpectedannualeconomic
growthrateundercurrentassumptions
aboutthefuture.ThesecondistheAI
scenario,whichshowsexpectedeconomicgrowthoncetheimpactofAIhasbeen
absorbedintotheeconomy.Asittakes
timefortheimpactofanewtechnologytofeedthrough,weused2035astheyearofcomparison.(see“Appendix:ModelingtheGVAimpactofAI”).
Accordingtoourresearch,AIyieldsthe
highesteconomicbenefitsfortheUnited
Statesinabsoluteterms,culminatingina4.6percentgrowthrateby2035(seeFigure7).Japancouldmorethantripleitsgrossvalueadded(GVA)growthduringthesameperiod,
raisingitfrom0.8percentto2.7percent.
Germany,Austria,Swedenandthe
Netherlandscouldseetheirannual
economicgrowthratesdouble(see“AI’spotentialimpactonnationalgrowth”).
Cross-countrycomparisonsmaskthe
significantimpactthatAIcouldhaveonseeminglylaggingeconomies,suchas
Italy,SpainandBelgium.Whiletheleveloftechnologicalmaturityandpublic
investmentdoesnotyetmatchthatof
theirleadingpeers,thesecountriesarealsosettobenefitfromAI.Forinstance,AIisexpectedtoraiseItaly’sgrowthrateto1.8percentby2035—thelowestGVArateincreaseinthecountriesanalyzed—butthisisstillasizeableamount(nearlyUS$230billionor15percentofthe
country’scurrentGVA).
FIGURE7:THEECONOMICIMPACTOFAI
AIhasthepotentialtodoubleannualeconomicgrowthratesinthecountriesthatweanalyzedintermsofgrossvalueadded(acloseapproximationofGDP).
4.6
2.6
4.1
2.1
3.9
2.5
3.6
1.7
3.2
1.6
3.0
1.4
2.9
3.0
1.7
1.4
BASELINE
2.7
2.7
1.6
1.7
0.8
AISTEADYSTATE
2.5
1.8
1.0
UNITEDSTATES
FINLAND
UNITEDKINGDOM
SWEDEN
NETHERLANDSGERMANYAUSTRIA
FRANCEJAPANBELGIUM
SPAINITALY
Realgrossvalueadded(GVA)(%,growth)
Source:AccentureandFrontierEconomics
16|Whyartificialintelligenceisthefutureofgrowth
FIGURE8:INCREASEINLABORPRODUCTIVITYINANAIWORLD
Artificialintelligencepromisestosignificantlyboosttheproductivityoflaborindevelopedeconomies.
Sweden
Netherlands
37%
27%
Finland
UnitedKingdom
36%
25%
UnitedStates
France
35%
20%
Japan
Belgium
34%
17%
Austria
Italy
30%
12%
Germany
Spain
29%
11%
Percentagedifferencebetweenbaselinein2035andAIsteadystatein2035
Source:AccentureandFrontierEconomics
Laborproductivityrevival
AIhasthepotentialtoboostlabor
productivitybyupto40percentin2035inthecountrieswestudied(seeFigure8).Thisriseinlaborproductivitywillnotbe
drivenbylongerhoursbutbyinnovativetechnologiesenablingpeopletomake
moreefficientuseoftheirtime.
Thislaborproductivityincreasedramatically
reducesthenumberofyearsrequired
forouranalyzedcountries’economiestodoubleinsize(seeFigure9).Theresultsareprimarilydrivenbyacountry’sabilitytodiffusetechnologicalinnovationsintoitswidereconomicinfrastructure.Whilethegainsvaryfromcountrytocountry,ourresultsareindicativeofAI’sability
totranscendregionalandstructural
disparities,enablinghuge,rapidleapsinlaborproductivity.
17|Whyartificialintelligenceisthefutureofgrowth
FIGURE9:TIMEFORECONOMIESTODOUBLEINSIZE
AIpavesthewaytofastereconomicgrowth.
UnitedStates
France
UnitedKingdom
Japan
Germany
Italy
BaselineAIsteadystate
Numberofyearsfortheeconomytodoubleinsize(afullcirclerepresents100years)
Source:AccentureandFrontierEconomics
Overall,AIisexpectedtounleashremarkablebenefitsacrosscountries,counteringdismaleconomicgrowthprospectsandredefining“thenewnormal”asaperiodofhighandlong-lastingeconomicgrowth.
18|Whyartificialintelligenceisthefutureofgrowth
CONTENTS
19|Whyartificialintelligenceisthefutureofgrowth
AI’SPOTENTIALIMPACTON
NATIONALECONOMICGROWTH
Byfocusingonindividualcountries,wecananalyzetheimpactofAIinmoredetail.Wecomparethesizeofeacheconomyin2035ina
baselinescenariowiththeAIscenario,whereAIhasbeenabsorbedintotheeconomy.Wecanalsoseetherelativeimportanceofthe
threechannelsthroughwhichAIhasaneffect.
AIsteadystate
897
3,372
+US$8,305B
Baseline
4,036
UnitedStates
AstrongentrepreneurialbusinessclimateandadvancedinfrastructurepositiontheUnited
Statestobenefitfromtheeconomicpotential
23,835
23,835
ofAI.AccentureresearchforecastsasignificantincreaseinUnitedStates’GVAgrowth,from
2.6percentto4.6percentin2035—alevelnotseensincetheeconomicpeakinthe1980s.
ThistranslatestoanadditionalUS$8.3trillionGVAin2035—equivalenttotoday’scombinedGVAofJapan,GermanyandSweden.
TotalGVA:
US$32,140B
IntelligentAutomation
Augmentation
Totalfactorproductivity(TFP)
19|Whyartificialintelligenceisthefutureofgrowth
78
3,735
Baseline
3,206
AIsteadystate
319
416
3,206
TotalGVA:
US$4,020B
+US$814B
UnitedKingdom
AIcouldaddanadditionalUS$814billionin
2035totheUK’seconomy—withgrowthratesincreasingfrom2.5percentto3.9percent
in2035.Thegrowthboostwillresultin
approximatelyequalpartsfromtheaugmentationandintelligentautomationchannels.Whilethe
UK’sdominantservicesectorcanadoptAItofueltheproductivityofknowledgeworkers,Britain’sstrongpharmaceuticalandaerospaceindustry
couldalsocapitalizeonintelligentsystemstooptimizeproduction.
Baseline
6,059
AIsteadystate
162
+US$2,068B
958
948
6,059
TotalGVA:
US$8,128B
Japan
Inourmodel,AIwillaccelerateexpected
growthfrom0.8percentto2.7percentin2035,resultinginUS$2.1trillionofadditionalGVAfor
Japan.Amongthecountrieswestudied,Japanisexpectedtobenefitconsiderablyfromadditionalinnovationeffectsdrivenbyitssophisticated
researchnetworks,dominanceinpatent
applicationsandlongstandingprowessinfieldslikerobotics.Consideringitslargeelectronics
goodsindustry,JapanoffersafavorablecontextforAItostimulatewidergrowthimpact.
AIsteadystate
87
Baseline
+US$1,079B
447
545
3,735
TotalGVA:
US$4,814B
IntelligentAutomation
Augmentation
Totalfactorproductivity(TFP)
Germany
AIcouldcontributeanadditionalUS$1.1trillion
GVAforGermanyin2035.Thebulkofeconomicrewardswillstemfromintelligentautomation.Itsadvancedmanufacturingsector,coupledwith
initiativeslikeIndustry4.0,offerprimeconditionsforaseamlessintegrationofintelligentsystemsintoproductionprocesses.
20|Whyartificialintelligenceisthefutureofgrowth
CLEARINGTHEPATH
TOANAIFUTURE
EntrepreneurElonMuskhaswarnedthatartificialintelligencecouldbecomehumanity’s“biggestexistentialthreat.”ThemoreoptimisticviewoffuturistRayKurzweilisthatAIcanhelpustomake“majorstridesinaddressingthe[world’s]grandchallenges.”
Thetruthis,italldependsonhowwemanagethetransitiontoaneraofAI.
TofulfilthepromiseofAIasanewfactorofproductionthatcanreigniteeconomic
growth,relevantstakeholdersmustbethoroughlyprepared—intellectually,technologically,politically,ethically,socially—toaddressthechallengesthatariseasartificialintellige
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