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ISSUE149|Ju
t2p5s,2:w|0.:52AMEDT
ANAIJOBAPOCALYPSE?
“
RapidimprovementsinAIcapabilitiesandgrowingcorporateadoptionhaveledto predictionsthatthetechnologycouldleadtolarge-scalejoblossesbeforetheend ofthedecade.So,justhowconcernedshouldwebeaboutanAI“jobapocalypse”? MIT’sDaronAcemogluandNeilThompsonandGS’JosephBriggsgenerallyagree thatthesepredictionslikelywon’tcometopass,thoughtheydifferonthescaleof disruptionahead.Briggsexpectssignificantlabordisplacementbutonlytemporarily asnewjobseventuallyemerge.Thompsonislessconvincedaboutlarge-scalejob displacementandtakescomfortintheabilitytoanticipatechanges,seeingAIasa risingtideratherthanacrashingwaveforlabor.AndAcemogluexpectsasmallnet negativeimpactonlaboroverthenextfiveyears,withpossiblelargerlossesoverthelongertermifinvestmentremainsfocusedonreplacingratherthancomplementingworkers.Amidthisdebate,wefindthatAI’simpactoncorporatelaborneeds—andearnings—remainstoouncertainformarketstoreward(fornow).
WHAT’SINSIDE
INTERVIEWSWITH:
Nogenerallawofeconomicssaysthatjobcreationmustmatchjobdestruction.Jobgrowthoverthelast80+yearsresultingfromacombinationofchangingtasks,newtasks,andashiftingstructureofoccupationshasnotoccurredatanevenpace.-DaronAcemoglu
Previousautomationwaveshaveresultedinmanynewjobs,whichofferssomereassurance.ButAIalso
processesinformationinwaysmoresimilartohumansthanprevioustechnologies,somoreworrymaybe
warranted
.
-NeilThompson
DespiteourexpectationthatAI-relatedjoblosseswillleadtoameaningfulamountoflabordisplacement,wecontinuetoexpectthatlabormarketheadwindswillbetemporary.KeytothisviewisourexpectationthatoverthelongrunAIwillcreatemanynewjobsevenasit
destroysexistingones.
-JosephBriggs
JennyGrimberg|jenny.grimberg@
“
...ANDMORE
AshleyRhodes|ashley.rhodes@
DaronAcemoglu,InstituteProfessoratMIT
NeilThompson,DirectoroftheFutureTechresearchprojectatMIT’sComputerScienceandArtificialIntelligenceLab
HOWMUCHAILABORDISPLACEMENT?
JosephBriggs,GSGlobalEconomicsResearch
AI&LABOR:SUBSTITUTIONVS.AUGMENTATION
ElsiePeng,GSUSEconomicsResearch
ISAIHURTINGNEWGRADUATES?
JessicaRindelsandPierfrancescoMei,GSUSEconomicsResearch
AI’SUNEVENTOLLONWORKERS
PierfrancescoMei,GSUSEconomicsResearch
AI:LIMITEDLABORPRODUCTIVITYUPLIFTSOFAR
RyanHammond,GSUSPortfolioStrategyResearch
AIAGENTSVS.HUMANS:WHOCOSTSMORE?
JamesSchneiderandLuyaYou,GSEquityResearch
AllisonNathan|allison.nathan@
Investorsshouldconsiderthisreportasonlyasinglefactorinmakingtheirinvestmentdecision.ForRegACcertificationandotherimportantdisclosures,seetheDisclosureAppendix,orgoto
/research/hedge.html
.
TheGoldmanSachsGroup,Inc.
GoldmanSachsGlobalInvestmentResearch2
TopofMindIssue149
【价值目录】网整理:
Macronewsandviews
Weprovideabriefsnapshotonthemostimportanteconomiesfortheglobalmarkets
Japan
LatestGSproprietarydatapoints/majorchangesinviews
•Nomajorchangesinviews.
Datapoints/trendswe’refocusedon
•BoJpolicy;weexpecttheBoJtocontinuehikingrates
roughlyeverysixmonths,withthenexthikelikelyinJan
2027,toapolicyrateof1.5%nextsummer,though
uncertaintyaroundthetimingofthenexthikeremainshigh.
•Japanfiscaloutlook,whichcouldworsenifPMTakaichi
implementsherexpansionaryplansandlong-terminterestratesrisefurthertowardthelevelsofotherG10economies.
•JapaneserealGDPgrowth,whichweexpecttodeclineto
0.5%in2026(from1.1%lastyear,bothyoy).
US
LatestGSproprietarydatapoints/majorchangesinviews
•Weraisedoursequential2H26GDPgrowthforecastto2%(from1.9%)andloweredour12mrecessionoddstothe
15%long-termnorm(from25%)followingtheUS-Irandeal.
Datapoints/trendswe’refocusedon
•Fedpolicy;thehawkishJunemeetingraisestheriskofhikeslaterthisyear,butweexpecttheFedtoremainonholdin‘26asmostFOMCvoterslikelystillleantowardunchangedpolicyratesandthelatestprojectionsmaybestalegiventhedeal.
•CorePCEinflation,whichweexpecttoremaincloseto3%throughYEbeforedecliningtocloseto2%in2027(yoy).
•Realincome,whichwilllikelyslowin2H26,keepingrealconsumerspendinggrowthatjust1.5%.
USrecessionrisk:backtoitslong-termnorm
US12maheadrecessionprobability,%
100
90BloombergconsensusGS
80
70
60
50
40
30
20
10
0
Mar-22Oct-22May-23Dec-23Jul-24Feb-25Sep-25Apr-26
Source:Bloomberg,GoldmanSachsGIR.
Japan:apotentiallylesssustainablefiscaloutlook
Debt/GDPratiobyinterestratescenario,%ofGDP
GSestimate
10Yyield=3.5%
10Yyield=2.7%(ratesasofendMay2026)
10Yyield=2.0%(ratesasofend2025)203020402050
270
250
230
210
190
170
150
2010
2020
Source:CabinetOffice,GoldmanSachsGIR.
Europe
EmergingMarkets(EM)
LatestGSproprietarydatapoints/majorchangesinviews
•Weloweredour2Q26ChinarealGDPgrowthforecastto3.5%(from4.0%,bothqoqann.)givenweakAprilandMayactivitydata,thoughweexpectgrowthtoreboundto5.0%in3Q26(qoqann.),forfull-yearrealGDPgrowthof4.7%.
Datapoints/trendswe’refocusedon
•AIinvestmentboom,whichwilllikelycontinueboosting
growthinseveralAsianeconomiesinvolvedinthetechandAIsupplychain,especiallyTaiwanandSouthKorea.
•China’scurrentaccountsurplus,whichcontinuestogrowandcouldweighontradingpartners’exportgrowth.
•RMBinternationalization,whichcouldaccelerateahead.
LatestGSproprietarydatapoints/majorchangesinviews
•Weraisedour2026/27EAGDPgrowthforecaststo0.5%/1.2%(from0.3%/0.9%,yoy)andloweredourEA/UKpeakcoreinflationforecaststo2.6%/2.9%(from2.7%/3.1%,yoy)partlytoreflectthelowerenergypriceswenowexpect.
Datapoints/trendswe’refocusedon
•UKpolitics;BurnhamisexpectedtosucceedStarmerasPM,whichcouldleadtoslowerfiscalconsolidation.
•BoEpolicy;recentweakactivitydataandacontinued
decelerationinunderlyinginflationmeasureshaveraisedourconfidencethattheBoEwillremainonholdthisyearbeforecuttingratesin2027.
•EAfiscaldeficits,whichhavewidenedonaveragevspre-covid.
Euroarea:deterioratingfiscalbalances(formost)
Belgium
France
Finland
Austria
Germany
EU
EA
Italy
Spain
Netherlands
Portugal
Ireland
202020212022202320242025
Source:HaverAnalytics,GoldmanSachsGIR.
Singapore
SouthKorea
OtherAsianeconomies
800
700
600
500
400
300
200
100
0
Taiwan
Malaysia
HongKong
FiscalbalancesintheEuroarea,%ofGDP
Asia:surgingtechexports
Asiaex.MainlandChinatechexportstoworld,3mann.,$bn
2
1
0
-1
-2
-3
-4
-5
-6
2012-19
2026-27
Source:HaverAnalytics,EuropeanCommission,GoldmanSachsGIR.
GoldmanSachsGlobalInvestmentResearch3
TopofMindIssue149
【价值目录】网整理:
AnAIjobapocalypse?
RapidimprovementsinAIcapabilitiesandgrowingcorporate
effortstointegratethetechnologyintoenterpriseworkflows
haveraisedconcernsthatAIcouldtriggera“jobapocalypse”,especiallyassomecompanieshavecitedAIasafactorin
recentlayoffs(seepg.16),entry-levelhiringappearstobe
softeninginsomeAI-exposedoccupations,andunemploymentamongcollegegraduateshasrisenabovethepre-pandemic
average.So,justhowconcernedshouldwebeaboutthedisruptivepotentialofAIfortheUSlabormarket?
SomeprominenttechnologistspredictthatAIcouldultimatelyeliminateamassivenumberofjobs.Theyarguethat,unlike
previoustechnologicalshiftsthatprimarilyautomatedroutinemanuallaborandclericaltasks,increasinglycapableAImodelswillsoonbeabletohandlemuchofthecognitiveworkhumansperform,leavingmanyworkerswithlesstodo.TheyalsopointtotheunprecedentedspeedofAIadvances,whichcould
outpacethelabormarket’snaturalabilitytoadapt,leadingto
substantialdisplacementinassoonasthenextfewyears.Andevenifthetechnologyeventuallycreatesnewroles,theywarnofaskillsmismatch,whichcouldmeanthatthesenewroles
willbefilledbyAIitselfratherthandisplacedhumanworkers.
GSSeniorGlobalEconomistJosephBriggsalsoexpects
significantlabordisplacement,estimatingmorethan9%ofthelaborforce—around15mnworkers—couldlosetheirjobsduringthe10-yearAItransitionheassumes.Buthebelievesthese
losseswillprovetemporaryowingtohisexpectationthatAIwillcreatemanynewjobsoverthelongtermevenasitdestroys
existingones,takingcomfortfromthehistoricalprecedentof
technologicalinnovationscreatingmuchnewworkandthe
dynamismoftheUSeconomy(whichGSCEODavidSolomonalsocitesasakeyreasonwhyhebelievesthenarrativeofanAIjobapocalypseisoverblown).Andthe10-yearAItransition
periodthatBriggsassumesshouldprovidethelabormarkettimetoadapt.
NeilThompson,DirectoroftheFutureTechresearchprojectatMIT’sComputerScienceandAIlab,islessconvincedthatAI
willdrivelarge-scalejobdisplacement.Heexplainsthat
“capabilityisonlyonestepintheprocessthatleadstolabor
marketchange”—AImustalsoperformreliably,haveaccesstotherightinformation,andbecosteffectivetomeaningfully
impactjobs.Andbecausemostjobsconsistofmanytasks,onlysomeofwhichcanbeautomated,heexpectsaslowerand
moreunevenlabormarketadjustmentthanAI’scurrent
capabilitiessuggest.Thompsonalsotakessome—thoughnotcomplete—comfortfrompreviousautomationwavesthat
createdmanynewjobs.So,hedescribesAI’simpactonthelabormarketmoreasa“risingtide”thana“crashingwave”:
realchangeandchurn,especiallyifadoptionacceleratesquickly,butnotsudden,widespreadjobloss.
WethenspokeagainwithDaronAcemoglu,InstituteProfessoratMITandwinneroftheNobelPrizeinEconomics.HeexpectsAItohaveonlyasmallnetnegativeimpactonlaboroverthe
nextfiveyears—farlessthansometechnologistspredict—ascurrentAImodelsaremorelikelytoreplacethancomplementworkers(GSUSEconomistElsiePengindeedfindsthatAIiscurrentlysubstitutingmorethanaugmenting,resultingina
smallnetdragonthelabormarket).ButAcemogluwarnsthat
joblossescouldbelargeroverthelongertermifAIinvestmentcontinuestofocusmoreonreplacingthancomplementing
workers,andespeciallysoifagenticadvances,improvementsinAImodels’socialcapabilities,orAI-roboticsintegration
expandthesetofjobsthatthetechnologycouldimpact(GSequityanalystsJamesSchneiderandLuyaYoualsoarguethatfallingtokencostscouldmakemoreenterpriseworkflows
economicallyviabletoautomate).AndAcemogluisless
comfortedthanBriggsandThompsonbyhistory,pointingoutthat“nogenerallawofeconomicssaysthatjobcreationmustmatchjobdestruction.”
So,whichworkerswillbemostimpactedbytheselabormarketshifts?WhilemuchoftheconcernaboutAI-drivenjoblosses
hascenteredonnewgraduatesandwhite-collarworkersmorebroadly,GSUSEconomistsJessicaRindelsandPierfrancescoMeifindthatAIhashadlittleimpactoncollegegraduates’jobprospectssofar.Buttheyarguethatcouldchangeoverthe
neartermascollegegraduatesaredisproportionatelyemployedinindustrieswithhighAIadoptionratesandoccupationswith
morepotentiallyautomatabletasks.Evenso,RindelsandMei
remainrelativelyoptimisticaboutcollegegraduates’longer-termprospects,findingthattheyhavehistoricallyadjustedmore
nimblythanotherworkerstotechnologicaldisruption.
Asforwhite-collarworkersmorebroadly,Acemogluarguesthatthoseperformingcognitive,routinetasksunderpredictable
conditions—suchascustomerserviceandback-officework—willbearthebruntofAIdisplacement.Asthesetasksare
disproportionatelyperformedbylower-paidwhite-collar
workers,heexpectsthistoleadtoariseinincomeinequality
overthecomingyears.However,Acemoglunotesthatif
workersinhigher-paidmanagerialrolesarealsodisplaced,as
somethinktheycouldbe,theninequalitycouldactuallydecline.
ThompsonagreesthatmuchwilldependonwhattypesofworkAIultimatelyautomates,withthekeybeingwhetherit
automatesthemostorleastexpertpartsofajob.IfAI
automatestheleastexperttasks,employmentwouldfallwhilewagesriseastheworkbecomesmorespecialized;ifitinsteadautomatesthemostexperttasks,employmentwouldrisewhilewagesfallasmoreworkerscandothejob.Thatframework
suggeststheimpactwillcutacrosstheoccupationandwagedistributionratherthanhittingoneworkergroupinparticular.
Amidthisdebate,GSSeniorUSEquityStrategistRyan
Hammondfindsthatthetechnology’simpactoncorporatelaborneeds—and,crucially,earnings—remainstoouncertainfor
marketstorewardtoday.Asaresult,hesays,investors
continuetofavortheAIinfrastructurecomplex,whereearningsbenefitsaremoretangible.ButHammondexpectsthisto
change,withtheAItradeeventuallybroadeningtoincludelaborproductivitybeneficiariesasclearerevidencethatAI’smuch-
toutedproductivitybenefitscangenerateadurableearningsupliftemerges.
AllisonNathan,Editor
Email:allison.nathan@
Tel:212-357-7504
GoldmanSachs&Co.LLC
GoldmanSachsGlobalInvestmentResearch4
TopofMindIssue149
【价值目录】网整理:
InterviewwithDaronAcemoglu
DaronAcemogluisanInstituteProfessoratMITandauthorofseveralbooks.HereceivedtheNobelMemorialPrizeinEconomicSciencesin2024(jointlywithSimonJohnsonandJamesA.Robinson).Below,hearguesthatAIislikelytohaveasmallnetnegativeimpactonlaboroverthenextfiveyearsandalargernegativeimpactoverthelongertermunlesstheindustrydirectsmoreinvestmenttowardadvancesthatcomplement,ratherthanreplace,workers.
TheviewsstatedhereinarethoseoftheintervieweeanddonotnecessarilyreflectthoseofGoldmanSachs.
AllisonNathan:Theconsensus
amongeconomistsseemstobe
thataggregatelabormarketdataisnotyetindicatingsignificantlabormarketimpactsfromAItechnologydespiteheadlinesoflargeAI-relatedlayoffs.Doyouagree?
DaronAcemoglu:Yes.Well-informedpeoplelikemycolleagueErik
Brynjolfssonhaveobservedanimpactontheentry-leveljob
market.ButIbroadlyagreewiththeconsensusthatnohugeeffectisnotableintheaggregatedatayet.SomeofthelayoffheadlinesmaybeAIwhitewashing,andsomeofthemare
genuineattemptsbyahandfulofbravecompaniesto
experimentwithcompletingmoretaskswithAI.Butthese
effortsarenotlargeenoughtoshowupintheaggregatedata,exceptpossiblyinsomeslowdowninhiringinAI-exposed
entry-levelpositions.
AllisonNathan:Doyouexpectalargerimpacttobevisibleanytimesoon?
DaronAcemoglu:Yes.Whileit’sverydifficulttomake
predictionswithanydegreeofcertainty,asthesecompany
effortsintensify,Isuspecttheseimpactswillbecomemore
visiblein2027intheformoflayoffsorahiringslowdownin
jobswhereAIcanatleasthaveachanceofreplacingsome
tasks.AIismorelikelytoreplacethanaugmentjobsintheneartermsimplybecausecurrentAImodelsarenotgoodat
complementingworkersbeyondsimpletaskslikereference
checks,exceptinafewfieldssuchasbiologicalandchemicalresearch.So,Iexpectanetnegativeimpactonthenumberofjobsincomingyears.
Butitisimportanttoemphasizethat,inmyestimation,the
scaleofjoblosseswon’tbeanywhereclosetotheverylargelayoffssomearepredicting.Iestimatesuchlosseswillbelessthan,say,2-4%overthenextfiveyears.MycautionaboutAI’sspreadand,inturn,itseconomicimpact,reflectstherelative
lackofuser-friendlyapplicationstodaythatwouldenablelargeemployerstoleveragethefoundationmodels.
Rightnow,workersarelargelyengagedinpromptengineering,whichisdifficult,inconsistent,andtime-consuming.Coding/
softwareengineeringremainsthenotableexceptionbecausemanyaspectsofcodingarenowroutinizedandsoftware
engineerstodayareAIexpertsthatknowhowtoleverage,
troubleshoot,andcheckthemodels.Agenticadvancesmay
openthedoortodevelopingapplicationsthatenablebroaderAIuse,butthat’sunlikelyifeverycompanymustdevelopitsownapplications.What’srequiredtomovetheneedleisthe
developmentofapplicationsthatallcompaniescanleverage,liketheMicrosoftOfficeversionofAI,sotospeak.
So,Iexpectonlyasmallnetnegativeimpactonlaboroverthenextfiveyearsorso,concentratedinwhite-collarworkers
whosetasksarecognitiveandroutineandinvolveperformingsimilarfunctionsunderpredictableconditionsratherthan
typicallyconfrontingnewandunusualthingsorconstant
innovation,creation,andintensesocialinteractionorjudgment.Theseexposedoccupationsincludecustomerservice
representativesorback-officework.IntheUS,theseworkersnumberroughly8-9million,whichisnotasmallnumberbut
accountsforonlyroughly5%oftheworkforce.AndtheimpactcouldbeevensmallerandsloweriftheearlymoversthatarealreadyexperimentingwithAIlaborreplacementgettheir
mouthsburned.
AIismorelikelytoreplacethanaugmentjobsintheneartermsimplybecausecurrentAImodelsarenotgoodatcomplementing
workersbeyondsimpletaskslikereference
checks...So,Iexpectanetnegativeimpactonthenumberofjobsincomingyears.But...thescaleofjoblosseswon’tbeanywhereclosetotheverylargelayoffssomearepredicting.”
AllisonNathan:DoesyourcalculusaboutAI’slabormarketimpactshiftoverthemedium-to-longerterm?
DaronAcemoglu:Muchmoreuncertaintyexistsovera10-to15-yearhorizon.Howthisevolvesdependsonwhere
investmentsaredirected.Ihavearguedforover10yearsthatthecomplementarypath—wherebyAItechnology
complementsversusreplaceshumanlabor—couldbequite
productive.Butsuchapathrequiresdifferentinvestmentsintermsofpre-traininganddomain-specificapplicationsanddata.Andthoseinvestmentsarenothappeningonasufficientscaletodaytosupportahuman-complementarypath.Ashiftintheindustry'sprioritiesandincentivesthatleadstogreater
investmentinthisdirectioncouldresultinamuchmore
positiveoutcomeforlabor.Butshouldthingscontinueastheyare,Iwouldexpectbiggernetjoblosseswithinthenext10to15years.
Manywildcardscouldalsoworsentheselosses.Ifagentic
advancesleadtowidelyaccessible,user-friendlyapplications,thenjoblossescouldextendbeyondback-officewhite-collarworkerstomiddle-managerrolesthatinvolvemorejudgementandeventomoreseniormanagerialrolesshouldthe
GoldmanSachsGlobalInvestmentResearch5
【价值目录】网整理:
TopofMindIssue149
technology’scognitiveabilitiesvastlyimprovefromhere.Thelargechunkofjobsthatinvolvesocialinteractionscouldalsocomeunderthreatifthesocialdimensionsofmodelscontinuetoimproveandhumanconsumersbecomemoreacceptingofinteractingwithbots,whichyoungergenerationsseemmoreopento.
Andperhapsoneofthebiggestwildcardsisthepotential
integrationofAIandrobotics.Significanteffortsarebeing
madeonthisfront,especiallyoutsideoftheUS,butseveral
challengesexisttosuchintegrationonboththeroboticsandAIsides.Robotsneedtobeflexibleandgentlewhilestillbeing
abletoperformphysicallychallengingtasks,andAImodels
currentlydon'tdoverywellonspatialcausalrelations,whichcombinespatialreasoningwithcausalinference.AImodels
alsolackimmediatefeedbackcontrols,whichrequiremuch
greaterawarenessoftheenvironmentthanwhatlarge
languagemodels(LLMs)canachievebysimplyreadingtext
andunderstandingwords.So,manyadvanceswouldbe
required,whichsuggestsprogresswilllikelybeslow.But
shouldamazingbreakthroughsoccur,thatwouldgreatly
increasethenumberofjobsthatAIcouldimpactgiventhat
roughly50%ofjobsintheUSeconomyrequirephysicallabor.
Ashiftintheindustry'sprioritiesandincentivesthatleadstogreaterinvestmentin[thecomplementarypath]couldresultina
muchmorepositiveoutcomeforlabor.Butshouldthingscontinueastheyare,Iwouldexpectbiggernetjoblosseswithinthenext10to15years.”
AllisonNathan:Thevastmajorityofjobgrowthsince1940hasbeendrivenbytechnologyandthecreativedestructionprocess.So,doyouthinkthistimewillbedifferent?
DaronAcemoglu:Notnecessarily.Butnogenerallawof
economicssaysthatjobcreationmustmatchjobdestruction.Jobgrowthoverthelast80+yearsresultingfroma
combinationofchangingtasks,newtasks,andashifting
structureofoccupationshasnotoccurredatanevenpace.Forexample,fewerjobsforworkerswithoutacollegedegreehavebeencreatedsince1980thanbefore1980,leadingtoadeclineinthisgroup’semployment-to-populationratioandwages,
especiallyamongmen.Duringthe1950s,1960s,andearly
1970s,jobcreationexceededjobdestruction,whichledto
increaseddemandforlaborandafasterriseinwagesthan
productivity.Butsincethelate1970s,jobcreationhasmostlyfallenshortofjobdestruction,withthedestructioncenteredinmanufacturingjobs.ThejoblossesIexpectinthecomingyearsamounttoasimilarscenario,butwiththejoblossesinstead
centeredaroundcognitiveofficejobs.So,nothingiscompletelydifferentthistimearound,buteveryperiodisdifferentintermsofthebalancebetweenjobcreationanddestruction.
AllisonNathan:WhatimplicationswillAIlikelyhaveforwagesandincomeinequality?
DaronAcemoglu:Toanswerthat,it’simportanttounderstandthatinequalityandemploymentaremoretightlylinkedthanissometimesimpliedbecausedecliningorstagnantwagesfor
somegroupstypicallyreducethesegroups’employment-to-
populationratioorparticipationrateastheybecomeless
motivatedtowork.So,adeclineinwagesandemploymentwilllikelygohand-in-handforspecificgroups.And,assuminglower-paidwhite-collarworkerswillbehithardestbyAI,atleastin
thecomingyearslaborincomeinequalitywilllikelyrise.
Ofcourse,ifjoblossesalsoencompasshigh-paidmanagerialroles,assomepeopleseemtoexpect,thenincomeinequalitycouldactuallydecline.But,aswe’vediscussed,Idon’tbelievethat’sthemorelikelyscenario.Andevenifwell-paidmanagersdidfindthemselvesinthecrosshairs,theywouldlikelyhave
moresuccessatfindingnewjobsthanthenextlayerof
displacedworkers.So,they’dstillbeunlikelytobearthebruntofAIdisplacement.
AllisonNathan:Whatabouttheimplicationsforcapitalversuslaborincome?WhichismorelikelytoreapthebenefitsofAItechnology?
DaronAcemoglu:Labor-capitalinequality—thegapbetweenincomeearnedfromworkandincomegeneratedfromassets—willmorecertainlyincrease.LLMsareincreasingthecapital
intensityofproduction.Thehugecapitalinvestmentthey
requireisatelltalesignthatcapitalincomewillincrease,evenifsomeofthoseinvestmentsaren’tfullyprofitableordon'tbreakeven.Theyneverthelessgeneratesubstantialrevenue,almostallofwhichiscapital-based;whileAIcompaniespresumably
paytheiremployeeswell,themaininputisdataandcompute.So,labor-capitalinequalitywillrise.Moreover,sincemanyofthesecompanieshaveconcentratedownership,inequalitywillincreaseevenwithincapitalincomeearners.
AllisonNathan:Whatrole,ifany,willpolicyhaveinshapinglabormarketoutcomes?
DaronAcemoglu:Policyhasavitalroletoplay.Butbeforeweeveninvolvepolicy,wemustfirstarriveatasocietalconsensusaboutwhatwewantfromAIandwhatAIcandeliver.Inmy
view,complementaryAIcouldresultinproductivityandlaborbenefitsandproveenormouslyusefulfortheeconomyand
societyatlarge.Butwhat’smissingtodayisaclear
conversationaboutwhatitwouldtaketopurposefullybuild
human-complementaryAItools.Somepeoplearguethatthe
bestapproachwouldbetodoubledownonLLMsandthenusetheminhuman-complementaryways.Idisagree.Inmyview,anapproachthatshiftsthefocusfrom“machineintelligence”to“machineusefulness”—orfrommachinesdesignedto
mimicandreplicatehumanabilitiestothosedesignedto
augmentandempowerhumancapabilities—wouldbebetter.Onceth
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