2025年人工智能的双重价值：助推积极气候成果与赋能能源转型研究报告（英文版）-毕马威

AI’sdualpromise:

Enablingpositiveclimateoutcomesandpoweringtheenergytransition

Aglobalviewofhowartificialintelligenceisunlockingpositive

climateoutcomesandacceleratingtheenergytransition

KPMG.MaketheDifference.

/

AIDualPromise

Foreword

Executive

summary

Key

findings

Introduction

AI’sexpanding

climatehandprint

AIpoweringclean

energytransition

Barriersto

acceleration

Turningbarriers

intoadvantage

Conclusion

HowKPMG

canhelp

Research

methodology

Aboutthe

Authors

Acknowledgements

Foreword

By2030,AIwillconsumemoreelectricitythanJapan1yeteliminate3−5billiontonsofCO2.2Thatparadoxrepresentshumanity’sbestclimateopportunity.

Overthecourseofmycareerintheenergyindustry,Ihave

witnessedmanyperiodsoftransformation,yetnoneaspivotalasthecurrentera.Today,artificialintelligenceisfundamentallyreshapingthewayweoperateandinnovate.Indiscussions

withbusinessleadersworldwide,aconsistentthemeemerges:

AIisrevolutionizingbusinessprocesses,enablingenergy

executivestooptimizeoperationsbeyondwhatwaspreviouslyconceivable,drivingtechnologyleaderstoreimaginebusinessmodels,andempoweringscientiststoaccelerateresearchatanunprecedentedpace.

ThemostcompellingaspectofthisevolutionisAI’sprofoundimpactacrosstheentireclimateandenergysector.WhileitistruethatAIrequiressubstantialenergyresources,itscapacitytooptimizesystems,driveefficiency,andfosterinnovation

1EnergyandAI,InternationalEnergyAgency,April2025

2NewstudyfindsAIcouldreduceglobalemissionsannuallyby3.2to5.4billiontonnesofcarbondioxideequivalentby2035,GranthamResearchInstitute,LondonSchoolofEconomicsandPoliticalScience,June2025

farsurpassesitsenergyfootprint.Economicopportunityandoperationalexcellencearefullyaligned,presentingauniquemomentfortheindustry.

Thescaleofopportunityissignificantforthoseorganizations

thatactdecisively.Businessesthatforgestrategicenergy

partnerships,investininfrastructure,andmakeforward-lookingcommitments,arepositioningthemselvestoleadfordecadestocome.

Thisreportprovidesvaluableinsightintowhatdistinguishesindustryleaders.DrawingonextensiveconversationswithexecutivesacrosstheAIandenergyvaluechain,itoffersaclearroadmapforleveragingthismomentintoasustainablecompetitiveadvantage.

AtKPMG,wearededicatedtoguidingourclientsthroughthistransformation,combiningadvancedtechnologyexpertisewithdeepsectorknowledgetoturnsustainabilitychallengesinto

strategicopportunities.

Iinviteyoutoexploretheinsightsinthisreportandconsider

whetheryourorganization’scurrentapproachesarebold

enough.Encourageyourteamstoidentifyandpursueuntappedopportunities.Byembracingthistransformativemoment,youcannotonlybuildsmarterbusinesses,butyoucanalsosecureanenduringcompetitiveadvantage.

TheriseofAIrepresentsthestrongestsignalforclean

energydemandwehave

seenindecades.Ifharnessedwisely,itcanacceleratetheenergytransitionandclimateobjectivesfasterthanpolicyaloneevercould.

ReginaMayor

GlobalHeadofClients&MarketsKPMGInternational

©2025CopyrightownedbyoneormoreoftheKPMGInternationalentities.KPMGInternationalentitiesprovidenoservicestoclients.Allrightsreserved.AI’sdualpromise:Enablingpositivncelirmgtteraonustiioeinsvmpeonwteoruiglohke:2e0n2egayntdrabnesyii|2

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Foreword

Executive

summary

Key

findings

Introduction

AI’sexpanding

climatehandprint

AIpoweringclean

energytransition

Barriersto

acceleration

Turningbarriers

intoadvantage

Conclusion

HowKPMG

canhelp

Research

methodology

Aboutthe

Authors

Acknowledgements

Executivesummary

Whothisreportisfor:

ThekeyquestioniswhetheryourAI

ThisreportspeaksdirectlytothekeystakeholdergroupswhostandatthecrossroadsofAI

strategyisacceleratingyourclimategoalsorunderminingthem?

Ourglobalstudyofover1,200

energyleadersshowsthatAInot

onlyhasthecapacitytoaccelerate

thecleanenergytransitionbutitalsoactivelysupportsclimateprogress.

Artificialintelligenceismovingfasterthanany

technologyinhistory.Injustafewyears,ithas

shiftedfromexperimentationtobecomingthe

engineofglobalproductivityandinnovation.Yet

itsrapidrisehassparkeddebate,canthesame

technologydrivingprogressalsoacceleratethe

cleanenergytransitionorisitgoingtohavean

adverseimpactonmakingprogressontheclimateagenda?OurresearchshowsthatAI’spotential

climatebenefitsfaroutweighthenegativeclimateimplicationsarisingfromtheuseoffossil

fuels-basedenergygenerationtopowerdatacentersandotherpartsoftheAIrevolution.

Thisglobalstudyexploreshoworganizations

areusingAItodrivesustainabilityandwhere

actionmustaccelerate.Itdrawsoninsights

from1,202executivesacrosstwentymarkets,spanningenergyproducers(utilities,renewables,infrastructuredevelopers)andmajorenergy

consumers(hyperscalers,datacenteroperators,andtechnologyfirms).

accelerationandclimateresponsibility.Eachfacesadifferentversionofthesamechallenge:how

InthisreportwewillexplorehowAIisbothaclimateenablerandanenergytransition

toadvanceAIwithoutunderminingsustainabilityandhowtousesustainabilityasacompetitive

advantage.

Hyperscalers:understandhowleadersare

leveragingtheirsignificantenergydemand

andoperationalscaletobecomeactiveenergyproducersdrivinginnovationincleanenergy.

Utilities:learnhowgridsaretransforminginto

intelligent,dynamicsystemsusingAIforreal-timeforecasting,balancingsupplyanddemand,and

integratingintermittentrenewablestomeetthesurgingenergyneedsofAIworkloads.

Developers:findhowtheyholdthekeytoAI'scleanenergyfuturebyscalingcleansupplyatspeed,innovatinginflexiblegenerationand

storagesolutionswithAI,andformingstrategicpartnershipstoacceleraterenewableproject

deployment.

Investors:examinehowtoprioritizecapital

allocationtowardsintegratedAI-cleanenergysolutions,financingcross-sectorcollaborationsandAI-driveninnovationinrenewableenergy.

accelerator,optimizingemissionsreductions,enablinggreaterenergyefficiency,andresiliencewhiledrivingdemandforcleanpower.Thefollowingfoursectionsareaddressedinthereport:

1.AI’sexpandingclimatehandprint

AIisexpandingitsclimatehandprint,

poweringadaptationsolutions,biodiversityprotection,andcircularinnovation.By

2027,62percentofmajordataandAIoperatorsexpecttoself-generatecleanenergy,investingdirectlyinrenewables.

2.AIpoweringcleanenergytransition

System-widetransformation:AIisenablingrealprogressonsustainabilityacrossvaluechains,

frommanufacturingandtransporttoagricultureandbuildings,andhelpingtocreatepositivevalueforcompanieswhoareaddressingtheirclimateriskexposures.

3.

Barrierstoacceleration:ClosingtheAI–energytransitionexecutiongap

Theexecutiongap:Progressisunevenparticularlyduetochallengesinscalingcleanpowersolutionsglobally.Infrastructurebottlenecks,policy

delays,andfinancingbarriersriskslowingdownmomentum.Thenext24months,through2027,willbedecisiveinclosingthisgap

4.Turningbarriersintoadvantage

Marketpullforinnovation:AIisgrowingfast

andcreatingnewmarketsforadvancedclean

technologies,reducingcommercializationcyclesfromdecadestoyears.

Governments:willdiscoverthatbystreamliningpolicyframeworks,acceleratingpermitting,andenablingprivateinvestmentingridinfrastructure,theycanunlockthefullpotentialofAIandcleanenergytodriverapid,coordinatedprogress

Theconclusionisclear:Whenitcomestotheclimateagenda,AIisaforceforgood.Itcanhelptoacceleratetheenergytransitionbyoptimizingrenewableenergygenerationanddistribution,makingthesesourcesmorereliableandefficientandcontributetobroaderclimateimprovementthrough

towarddecarbonizationandclimateresilience.

advanceddataanalysisforenvironmentalmonitoring,predictivemodelingforclimateresilienceandintelligentresourcemanagement.

©2025CopyrightownedbyoneormoreoftheKPMGInternationalentities.KPMGInternationalentitiesprovidenoservicestoclients.Allrightsreserved.AI’sdualpromise:Enablingpositiveclimateoutcomesandpoweringtheenergytransition|4

Contents

02Foreword

03Executivesummary

05Keyfindings

06Introduction

08AI’sexpandingclimatehandprint

19aIingcleanenergy

theAI–energytransition

26Barrierstoacceleration:Closing

executiongap

33Turningbarriersintoadvantage

38Conclusion

39HowKPMGcanhelp

40Researchmethodology

42Glossaryofunitsandterms

43AbouttheAuthors

44Acknowledgements

U

©2025CopyrightownedbyoneormoreoftheKPMGInternationalentities.KPMGInternationalentitiesprovidenoservicestoclients.Allrightsreserved.AI’sdualpromise:Enablingpositiveclimateoutcomesandpoweringtheenergytransition|5

Foreword

Executive

summary

Key

findings

Introduction

AI’sexpanding

climatehandprint

AIpoweringclean

energytransition

Barriersto

acceleration

Turningbarriers

intoadvantage

Conclusion

HowKPMG

canhelp

Research

methodology

Aboutthe

Authors

Acknowledgements

Keyfindings

Policyandregionalperspectives

EnergydemandsandchallengesofAI

Progressandgapsinnetzerocommitments

GrowinginfluenceofAIintheenergysector

Amongdatacenters,AI-relatedenergyusewilljumpfrom8%to

36%

96%

ofexecutivesbelievecleanenergycanmeetAI’sdemands,though

33%

citegridinfrastructure

limitationsasatopbarrier.

Organizationsprojecta

4x

ofenergy

saypolicymakershavebeentoo

slowtoembracetheclimate

increaseinhigh-renewableusage(75–100%)injust

threeyears,from8%todayto30%

92%

75%

producersexpectgreaterthan10%growthinthenextthreeyears.

benefitsofAI

Only

30%

Only

97%

ofenergyexecutivesdescribeAIasa

netpositivefor

acceleratingprogresstowardsnetzerogoals

oforganizations

extendnetzero

commitmentsto

theirfullvaluechain.

29%

Executiveswhobelievethatgrowthandsustainabilityarecompatible

objectives:

45%

39%34%

prioritizeimprovingAI’sownenergy

efficiencyinthenearterm.

ASPAC

27%

EMA

Americas

87%

Only

plantomeetenergy

needsprimarilythroughonsitegeneration.

sayAIiscentraltoachievingnetzerogoals.

13%

ofenergyconsumersbelievecleanenergyisnon-negotiable,evenifitdelaysprojects.

©2025CopyrightownedbyoneormoreoftheKPMGInternationalentities.KPMGInternationalentitiesprovidenoservicestoclients.Allrightsreserved.AI’sdualpromise:Enablingpositiveclimateoutcomesandpoweringtheenergytransition|6

Foreword

Executive

summary

Key

findings

Introduction

AI’sexpanding

climatehandprint

AIpoweringclean

energytransition

Barriersto

acceleration

Turningbarriers

intoadvantage

Conclusion

HowKPMG

canhelp

Research

methodology

Aboutthe

Authors

Acknowledgements

Introduction

Artificialintelligenceisadvancingrapidly.Injustafewshortyears,ithasleaptfrom

pilotprojectstobecometheengineroomofglobalproductivityandinnovation.But

itsrisehasalsostruckanerve.Thesametechnologydrivingprogresshasbecomethelightningrodforagrowingdebateaboutenergyuseandclimateimpact.Thisreport

looksatthistension,wherethepromiseofAImeetstheplanet’smosturgentchallengeandwefindthattheclimatebenefitsbroughtbyAIoutweighthenegatives.

TheenergyrealitybehindtheAIboom

TheriseofAIhastriggeredanextraordinarysurgeincomputingpower,andwithit,adramaticincreaseinthehungerforenergy.TrainingandrunninglargeAImodelsrequiresvastamountsofelectricity,drivinganexplosionofdatacenters,whichareindustrial

ecosystemsbuilttoprocessanddeliverintelligenceatscale.Theseareamongthemostenergy-intensivefacilitieseverconstructed.

TheInternationalEnergyAgencyprojectsthatby

2030,electricitydemandfromdatacenterswillmorethandoubletoaround945terawatt-hours(TWh).3

3Ibid

MuchofthatincreasewillcomefromAIitself,withworkloadsthatcouldquadrupleenergyuseinjustfiveyears.

Thesourcespoweringthisboomaremixed.Somehyperscalersareracingahead,signinglong-termrenewablepowerdealsandbuildingtheirown

clean-energycapacity.Othersremaintiedtogridsstilldominatedbyfossilfuels.Itisthisuneven

progressthathasignitedapublicdebate:thatAI,forallitspromise,couldendupunderminingtheclimateagendathroughitsgrowingappetiteforpowergeneratedfromfossilfuels.

KPMGinsight

AI'stransformativeimpactonenergyandnaturalresources

InmyexperienceasGlobalHeadofEnergy,Natural

ResourcesandChemicals,I’vewitnessednumerousshifts

intheenergyindustry.However,thecurrentera,driven

byartificialintelligence,istrulytransformative.Thisreport

rightlyhighlightsAI’sdualpromise:enablingpositiveclimate

outcomeswhilepoweringtheenergytransition.From

optimizingcomplexoperationsandenhancingresource

managementtoacceleratingscientificresearchand

reimaginingbusinessmodels,AIisfundamentallyreshaping

howweapproachenergy.Thisisn’tjustabouttechnological

advancement;it’saboutunlockingunprecedentedlevelsof

efficiencyandinnovationthatarecriticalforasustainable

future.TheeconomicopportunitiesandoperationalexcellencethatAIbringsareperfectlyaligned,presentingauniqueand

pivotalmomentforourindustrytodrivemeaningfulchange.

AnishDe

GlobalHeadofEnergy,

NaturalResourcesandChemicalsKPMGInternational

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Foreword

Executive

summary

Key

findings

Introduction

AI’sexpanding

climatehandprint

AIpoweringclean

energytransition

Barriersto

acceleration

Turningbarriers

intoadvantage

Conclusion

HowKPMG

canhelp

Research

methodology

Aboutthe

Authors

Acknowledgements

Threerevelationsfromourresearchcallforimmediateattention:

Rethinkingthenarrative

TheargumentthatAIconsumesenormousamountsofenergyonlytellshalfthestory.

Only

29%

oforganizationsextendnetzero

commitmentstotheirfullvaluechain,

meaning71percentareoptimizingfor10percentoftheirtrueclimateimpactwhileignoringtherest.Formostbusinesses,upto90percentoftheirtotalcarbon

footprintlieswithinthevaluechain,primarilyfromsuppliers.4

expressconfidencethatcleanenergy

canmeetAI’sdemands,yet33percentsimultaneouslycitegridinfrastructure

limitationsasatopbarrier,aconfidence-constraintmismatchthatcouldderail

cleanpowerexpansionplans.

Yes,AI’senergyfootprintisreal,butitsclimate

handprintisfarlarger.AIisfastbecomingoneof

29%

themostpowerfultoolswehaveforacceleratingclimateprogress.Itishelpinggridoperatorspredictdemandandbalancerenewablesupplyinreal

time.Itisoptimizingindustrialefficiency,advancingclimatemodelling,cuttingwaste,andspeedingupthedeploymentofcleanenergyamongstmany

otherbenefitsthatweexploreinthispaper.

Forthefirsttimeinthreedecadesofenergy

96%

transition,theeconomicsandtheethicsare

startingtoalign.Wheretheclimatecrisisalonestruggledtomobilizeenoughcapitalandpoliticalwill,AI’srapidgrowthiscreatinganeconomic

necessitythatcouldfinallymakelarge-scaleclean-energydeploymentunstoppable.

Ourcentralargumentissimplebut

transformative:AIisn’tathreattotheclimate

agenda;itcouldbeitsgreatestaccelerator.The

questionisnotwhetherAIconsumesenergy,

butwhatkindofenergyitconsumesandhow

weuseAIitselftodecarbonize,becomemore

adaptiveandprotectnatureandbiodiversityfasterandatscale.

TheKPMG2025CEOreporthighlightsthatenergyCEOsarethinkingthesameway.MorethanfouroutoffiveCEOsintheenergysector(82percent)believeAIcansupporteffortstoreduceemissionsandoptimizeenergyuse,and74percentthink

AIcanboosttheirclimateriskanalytics,tobettermodelfuturescenarios.5

Thereappearstobelimitedpublicdebateondatacenterswhichis

leadingtoalackofunderstandingoftheircontributiontothetotal

62%

ofhyperscalersplantoimplementself-generationenergywithinthreeyears,

fundamentallytransformingfromenergyconsumerstoenergymarket-makers.

energysystem.Throughanarrowlens,datacentersareseenas

significantenergyusersintermsofkilowattswithoutthecounter

62

argumentofthebenefittheybringtosociety,intermsofdigitalizationofservicesandelectrificationoftransportsystems.Thenarrativeneedstoshifttoatotalenergysystemdiscussion.

MattKennedy

IDAIreland

GlobalHeadofClientTransformation

4ValueChainandSupplyChainSustainability,CarbonTrust,2025

5GlobalCEOOutlookSurvey:Energy,NaturalResources&Chemicals,KPMGInternational,October2025

Foreword

Acknowledgements

Executive

summary

Key

findings

Introduction

AI’sexpanding

climatehandprint

AIpoweringclean

energytransition

Barriersto

acceleration

Turningbarriers

intoadvantage

Conclusion

HowKPMG

canhelp

Research

methodology

Aboutthe

Authors

©2025CopyrightownedbyoneormoreoftheKPMGInternationalentities.KPMGInternationalentitiesprovidenoservicestoclients.Allrightsreserved.AI’sdualpromise:Enablingpositiveclimateoutcomesandpoweringtheenergytransition|8

01

AI’sexpanding

climatehandprint

HeadlinesaboutAI’senergy“crisis”obscureamore

complextruth.Inthischapterwelookbehindthenoise,

quantifyingAI’srealfootprintandexposingwhereAIcanbeoneofthemostpowerfulenablersofclimateprogressasaproviderofinsightsdrivinginnovation,growthand

resilience.Forexecutives,itprovidestheclarityneededtomakegroundedinvestmentandpolicydecisions,replacingspeculationwithevidence.

©2025CopyrightownedbyoneormoreoftheKPMGInternationalentities.KPMGInternationalentitiesprovidenoservicestoclients.Allrightsreserved.AI’sdualpromise:Enablingpositiveclimateoutcomesandpoweringtheenergytransition|9

Foreword

Executive

summary

Key

findings

Introduction

AI’sexpanding

climatehandprint

AIpoweringclean

energytransition

Barriersto

acceleration

Turningbarriers

intoadvantage

Conclusion

HowKPMG

canhelp

Research

methodology

Aboutthe

Authors

Acknowledgements

Farfrombeinganetdrainonglobalresources,AIisprovingtobeanetcontributor,helpingcutemissions,optimizeenergysystems,andunlockentirelynewroutestoclimateresilienceandnaturerestoration.ThequestionisnolongerwhetherAIcanoffsetitsfootprint,buthowquicklybusinessandgovernmentcan

deployittoexpanditsclimatehandprint,themeasureofitspositiveenvironmentalimpact.

InArizona,wehavebeenworkingonacomputationalflexibilityeffortfora

datacenter.ByusingAItechnology,weareabletocontrolthepowerflow

totheGPUsandCPUsinthatfacilityandbringdowntheirpeakloadby25

percent,andthereisnonegativeimpacttotheoutputforthecompanyortheircustomers.Thatisabigdeal.Similarly,inNorthCarolinaadatacenterusesanAIalgorithmtoreducetheloadbytwentypercent.Again,verysuccessful.

EPRI

DavidPorter

VicePresident,ElectrificationandSustainableEnergyStrategy

TheParisAgreement,acornerstoneofglobalclimateaction,setsambitioustargetstolimitglobalwarming.Fromoptimizingenergygridsandpredictingrenewableenergyoutputtoenhancing

carboncaptureandimprovingenergyefficiency,AIcanempowernationstoachievetheirNationallyDeterminedContributions(NDCs).Beyondmitigation,AIstrengthensclimateresiliencethrough

advancedmodelingandearlywarningsystems,aligningwiththeAgreement’sadaptationfocus.

Furthermore,AIcanbolstertheParisAgreement’stransparencyframeworkbyimprovingtheaccuracyandefficiencyofemissionsreportingandrenewableenergydeployment.Ultimately,AIservesasa

powerfultool,tomeettheurgentandmeasurableobjectivesoutlinedinthisglobalaccord.

KPMGinsight

AIacceleratingclimateefficiency

ThediscussionaroundAI’senergyfootprintoften

overshadowsitsimmensepotentialtodriveclimate

efficiency.FrommyperspectiveinEnergyDealAdvisoryandEnergyTransitionStrategy,AI’struepowerliesinitsabilitytooptimizeoperations,reducewaste,andenhanceresourcemanagementacrosstheentireenergyvalue

chain.Thisisn’tmerelyaboutincrementalimprovements;it’saboutfundamentallyreshapingtheeconomicviabilityofsustainablepractices.Fororganizationsnavigatingtheenergytransition,leveragingAIforclimateefficiency

createscompellingnewavenuesforstrategicpartnershipsandinvestmentopportunities,turningenvironmental

responsibilityintoaclearcompetitiveadvantageandacatalystforimpactfuldeals.

WafaJafri

Partner,EnergyDealAdvisoryKPMGintheUK

©2025CopyrightownedbyoneormoreoftheKPMGInternationalentities.KPMGInternationalentitiesprovidenoservicestoclients.Allrightsreserved.AI’sdualpromise:Enablingpositiveclimateoutcomesandpoweringtheenergytransition|10

Foreword

Executive

summary

Key

findings

Introduction

AI’sexpanding

climatehandprint

AIpoweringclean

energytransition

Barriersto

acceleration

Turningbarriers

intoadvantage

Conclusion

HowKPMG

canhelp

Research

methodology

Aboutthe

Authors

Acknowledgements

Sectorbysector:Theproofinpractice

Acrosstheglobaleconomy,AIisalreadydemonstratingthatclimateimpactandcommercialperformancecanreinforceeachother.

Energysystems

Inpowergenerationand

distribution,AI-enabled

forecastingandgrid

optimizationaretransforminghowrenewableenergyis

integratedandmanaged.GridoperatorssuchasPJMintheUSnowuseAItobalance

fluctuatingsupply,accelerategridconnections,andmakebetteruseofassets.6In

ourresearch,97percentofenergyexecutivesdescribeAIasanetpositiveforthelow-carbontransition.

Transport

Foodandagriculture

Manufacturing

Inaviation,AI’simpactisvisibleinthesky.AcollaborationbetweenGoogleResearch,Breakthrough

Energy,andAmericanAirlines

hasshownthatcontrailpredictionmodelscancutheat-trapping

contrailsbymorethan50percent,7withnegligiblefuelpenalties.

Ontheground,AIisoptimizing

freightroutes,predicting

maintenancebeforefailuresoccur,andcoordinatingtherolloutof

autonomouselectricfleets.The

AI-poweredprecisionfarmingishelpinggrowersusewater,fertilizer,andenergyfarmoreefficiently.Fromdrone-enabledcropmonitoringtodisease

detectionandintelligent

irrigation,thesesystemsare

improvingyieldswhilereducingenvironmentalimpact,the

elusivewin-winlongpromisedbyagriculturaltechnology.

Onfactoryfloors,AIis

rewritingtherulesofefficiency.Predictiveanalyticsprevent

costlydowntime.Digitaltwinsallowengineerstoevaluate

carbon-reductionscenarios

beforecommittingtophysicalchange.Andacrossentire

plants,machine-learning

systemsaretrimmingwasteandloweringenergyintensity.

result:lowerfueluse,fewerdelays,andimprovedreliability.

Buildings

Incommercialrealestateandlargecampuses,AI-

basedcontrolsystems

aredeliveringdouble-digitreductionsinbothenergyuseandoperatingcosts.

Bylearninghowoccupantsactuallyusespace,and

adjustingheating,cooling,andlightinginrealtime,thesesystemsmake

sustainabilityseamless.

Theemergingpatternisclear:AIisbecomingasystem-wideoptimizer,notabolt-ontechnologybutacoordinationenginecapableofreducingemissionsatscale.

6GoogledeploysAItospeedupconnectionsatPJMlargestUSpowergrid,Reuters,April2025

7GoogleAI-basedpredictionstudywithAmericanAirlinesshows54%reductioninaircraftcontrails,GreenAirNews,2023

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Foreword

Executive

summary

Key

findings

Introduction

AI’sexpanding

climatehandprint

AIpoweringclean

energytransition

Barriersto

acceleration

Turningbarriers

intoadvantage

Conclusion

HowKPMG

canhelp