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DAI
FORAPLANETUNDER
PRESSURETitle:AI
for
a
Planet
Under
PressureAuthors:Victor
Galaz,1,2*
Maria
Schewenius,1,2,6*
Jonathan
F.Donges,1,3,5
Ingo
Fetzer,1,2,7
Erik
Zhivkoplias,1
Wolfram
Bar-fuss,8,9,10
LouisDelannoy,1,11,12
LanWang-Erlandsson,1,3
MaximilianGelbrecht,3,13
JobstHeitzig,3
JonasHentati-Sundberg,14
ChristopherKennedy,15
NieljaKnecht,1
RomiLotcheris,1
MiguelMahecha,16
AndrewMerrie,1,24
DavidMontero,16
TimonMcPhearson,1,15
AhmedMustafa,15
MagnusNyström,1
DrewPurves,4
JuanC.Rocha,1
MasahiroRyo,17,18
Claudiavander
Salm,4
Samuel
T.Segun,19
AnnaB.Stephenson,20
Elizabeth
Tellman,21
Felipe
Tobar,22
AliceVadrot23*EditorsAffiliations:1.StockholmResilienceCentre,StockholmUniversity,Sweden2.BeijerInstituteofEcologicalEconomics,RoyalSwedishAcademyofSciences,Sweden3.PotsdamInstituteforClimateImpactResearch(PIK),Memberof
theLeibnizAssociation,Germany4.GoogleDeepMind,United
Kingdom5.MaxPlanckInstituteofGeoanthropology,Germany6.FacultyofEngineeringandSustainableDevelopment,UniversityofGävle,Sweden7.BolinCentreforClimateResearch,Stockholm,Sweden8.
TransdisciplinaryResearchAreaSustainableFutures,UniversityofBonn,Germany9.CenterforDevelopmentResearch,UniversityofBonn,Germany10.InstituteforFoodandResourceEconomics,UniversityofBonn,Germany11.GlobalEconomicDynamicsand
theBiosphere,RoyalSwedishAcademyofSciences,Sweden12.SwedishCentreforImpactsofClimateExtremes(climes),UppsalaUniversity,Sweden13.SchoolofEngineeringandDesign,
TechnicalUniversityofMunich,Germany14.SwedishUniversityofAgriculturalSciences,Sweden15.Urban
Systems
Lab,New
York
University,USA16.InstituteforEarthSystemScienceandRemoteSensing,LeipzigUniversity,Germany17.BrandenburgUniversityofTechnologyCottbus-Senftenberg,Germany18.LeibnizCentreforAgriculturalLandscapeResearch(ZALF),Germany19.Global
Center
on
AI
Governance,Canada20.HighMeadowsEnvironmentalInstitute,PrincetonUniversity,USA21.NelsonInstituteforEnvironmentalStudies,UniversityofWisconsin-Madison,USA22.DepartmentofMathematics,ImperialCollegeLondon,UnitedKingdom23.DepartmentofPoliticalSciences,UniversityofVienna,Austria24.
Planethon,SwedenSuggestedcitationforthefullreport:Galaz,V.andM.Schewenius(eds,2025).
AIfor
aPlanetUnder
Pressure.StockholmResilienceCentre,PotsdamInstitute
forClimateImpactResearch.Stockholm.Report.Online:
/abs/2510.24373.Suggestedcitationforindividualchaptersinreport(e.g.):Wang-Erlandsson,L.,N.Knecht,R.Lotcheris,I.Fetzer.“Securing
Freshwater
for
All”in
Galaz,V.and
M.Schewenius(eds,
2025).
AIfor
aPlanetUnder
Pressure.StockholmResilienceCentre,PotsdamInstituteforClimateImpactResearch.Stockholm.Report.ISBN:978-91-89107-61-8e-book
ISBN:978-91-89107-62-5Graphics
and
layout:Jerker
Lokrantz/AzoteNovember2025Theproductionof
thisreportwassupportedbyadditionalfundingfrom
theBeijerInstituteofEcologicalEconomics(RoyalSwedishAcademyof
Sciences),andGthroughClimateIQattheUrbanSystemsLabatNewYorkUniversity(USA).Artificialintelligence(AI)isalreadydrivingscien-
tificbreakthroughsinavarietyofresearchfields,
rangingfrom
thelifesciences
tomathematics.
Thisraisesacriticalquestion:canAIbeapplied
bothresponsiblyandeffectively
toaddresscomplexandinterconnectedsustainabilitychallenges?
Thesechallengesincludeclimate
change,biodiversityloss,oceanacidification,
andothertransformationsofourlivingplanet.Eachof
theseposesseriousrisks
tosocietalstability,humanhealthandwell-being,and
theabilityofpresentandfuturegenerationstothrive
withinplanetaryboundaries.Here,scienceplays
afundamentalroleintwoways.First,byhelping
acceleratechangesandinnovations
thatmove
usclosertoa
justandsafefutureforall.Second,
bymakingsure
thatAIisdevelopedandusedin
ways
thatneitherexacerbatesinequalities,norincreasesplanetarypressures.Thisreportexploresthepotentialandlimitations
ofusingAIasaresearchmethodineightissue
areas:Preparingfor
aFuture
of
InterconnectedShocks,UnderstandingaComplex
Earth
System,
StewardingOur
BluePlanet,
SecuringFreshwater
for
All,EnhancingNature’sContributions
to
Peo-
ple,Prosperingonan
Urban
Planet,
Improving
Sus-
tainability
ScienceCommunication,andCollective
Decisionsfor
aPlanetUnder
Pressure.
Together,
theseareasreflectarangeofcomplexresearch
challengeswherepeople,nature,andclimateinterplay.By
takingsuchanintegratedapproach,
ourworkstandsoutwithinthegrowingland-scapeof“AIforScience,”andbringstogether“AI
forClimate”and“AIforNature”initiatives.Ourresultsbuildoniteratedexpertdialoguesandassessments,asystematicAI-supportedliteratureoverviewincludingover8,500academ-icpublications,andexpertdeep-divesintoeach
specificissuearea.Inconclusion,weshow
that:(1)AIoffersvastpotentialtoacceleratepro-gressacross
thesustainabilitysciences.(2)AI
cansharpenourdecision-makingandclarifycomplexenvironmentalchallengesforresearch-
ersandthepublicalike.(3)However,realizing
thispromiserequirescarefulnavigationof
the
risks,includingAI’sownenvironmentalfootprint,
inherentbiases,and
thechallengeofunequalaccess.(4)Despite
thesehurdles,responsible
andethicalapplicationsofAIinsustainability
researcharenot
justapossibility—theyarean
urgentnecessity.(5)Pioneering
theseusescan
unlockthebreakthroughsweneedtobuildamoresustainablefuture.AdvancingfromthepotentialofAItoitsrespon-
sibleapplicationinresearch
thatbenefitsbothpeopleandtheplanetwillrequireabalancebetweenurgencyandinnovation,andacom-mitmenttoethicalandinclusivepractices.Our
concludingrecommendations—addressed
toresearchers,policymakers,fundingagencies,andphilanthropicorganizations—outlinepracti-
calstepsforachieving
thisbalance.Leveraging
powerfulcompute(i.e.,computationalpower)andnewmethodologies,advancementsinAIen-
able
thediscoveryofpatternsandrelationships
thatwerepreviouslytoocomplex,ortoointer-disciplinary,
to
tackle.Asexperiencehasshown,
AIhasthepotentialtoopenupnew,excitingareasofinquiryforsustainabilityresearch.It’san
opportunitytheworldcannotaffordtomiss.Itis
nowup
tosustainabilityresearchers,companies,
technologyentrepreneurs,anddecision-makers
tocarefullyshapeAIdevelopmentintheservice
ofa
justandsafe
future.ExecutiveSummary3UseofAIinWritingThis
ReportL.W-E.used
Grammarly
for
editing
the
Freshwater
chapter.N.K.has
used
ChatGPT
to
rephrase
andshortenpartsofthedraftversionoftheFreshwaterchapter.E.Z.usedGemini2.5Flashforgram-marandsyntaxchecksofallwritingcontributionstothereportchapters;GitHubCopilotassistedwithscriptprogrammingtoimprovethevisualappealoftheplotsintheliteraturereviewandconclu-
sionchapters;andusedDeepSeek-R1-7bforanalysisofthecollectedliterature,asdescribedinthe
correspondingchapter.A.V.usedGeminiforsearchofrelevantliterature(togetherwithScopus)and
editing.L.D.usedChatGPT(4o)forspellcheckingandrewordingindividualsentences,uponwhich
hereviewedandeditedthecontent.W.B.usedGrammarlyforlanguageediting.M.R.usedChatGPT
torefinetheacademiclanguage.M.S.usedCopilotinMicrosoft365torevisesomeof
thesentenc-
esinthefullreporttoimprovereadability.C.S.usedGeminitoprovideinputtothesummaryofthe
fullreport,andworkedwithV.G.andotherchapterauthorswiththereportsummary,conclusions,andrecommendations.FundingWorkshop,travelcosts,researchassistancetime,anddesignandlay-outofthisreport,hasreceived
fundingfromGoogleDeepMind.V.G.wouldliketoacknowledgefundingfromtheMarianneandMarcusWallenbergFoundation,G,andtheBeijerInstituteofEcologicalEconomics(Royal
SwedishAcademyofSciences).M.S.acknowledgesfinancialsupportfromStockholmResilience
Centre,theBeijerInstituteofEcologicalEconomics,andG.L.W-E.acknowledgesfundingfrom
Formas(2022-02089,2023-00321),and
the
IKEA
Foundation.J.R.acknowledges
supportfrom
Vetenskapsrådet
grant2022-04122.I.F.acknowledges
funding
from
the
IKEA
Foundation.A.V.
acknowledgesfundingfromtheEuropeanResearchCouncil(ERC),GrantagreementNo101124903
–TwinPolitics–ERC-2024-CoG.M.M.acknowledges
funding
from
ML4Earth
by
DLR.R.L.ac-knowledgesfundingfromFormas(2022-02089).L.D.
thanks
theErling-PerssonFamilyFoundation
forfunding.M.G.acknowledgesfoundingfrom
theVolkswagenFoundationunder
theFreigeistprogram.W.B.acknowledgesfinancialsupportreceivedfromtheCooperativeAIFoundation.T.M.
acknowledgesfinancialsupportfromG.J.H-S.acknowledgesfundingfromMarcusandMarianne
Wallenberg
foundation2018-0093,and
Vetenskapsrådet2021-03892.M.R.gratefullyacknowledgessupportfromtheproject“KIundCitizenSciencegestütztesMonitoringvonzertifi-zierten
Biodiversitätsprojekten(KICS-Zert)”(16LW0441),funded
by
BMFTR,Germany.A.S.receivedsupportfromWilliamH.MillerIII,thePrincetonUniversityDeanforResearch,theHighMeadows
EnvironmentalInstitute,andtheArmyResearchOfficeundergrantnumberW911NF2410126.CompetingInterestsD.P.and
C.S.are
both
employed
by
DeepMind.F.T.has
received
funding
from
Re-searchbetween2020and2024throughtheprogrammes:LatinAmericaResearchAwards(LARA),AI
for
Social
Good,and
the
Award
for
Inclusion
Research
(AIR).T.M.,A.M.,V.G.and
M.S.receivefinancialsupportfromG.V.G.hasalsoengagedasconsultantforKlarnaandMilkywirefor
theprogram“AIforClimateResilience”.Theworkshopandtravelcosts,researchassistancetime,
anddesignandlay-outofthisreport,hasreceivedfundingfromGoogleDeepMind.ThankYouEmelieElfvengren(StockholmResilienceCentre,StockholmUniversity),hasprovidedhelpfulresearchassistanceinthecompilationofthisreport.FredrikMoberg(StockholmResilienceCentre,
StockholmUniversity,andAlbaeco)hasproofreadandcommentedonanearlyversionofthefullreport.ElinorKruse(GoogleDeepMind)contributedtoreviewingtheTaxonomychapterandthefinal
versionofthereport.MarcusLundstedt(StockholmResilienceCentre,StockholmUniversity)hasprovidedhelpfuladviceindiscussionsabout
thereport
title,keymessages,andExecutiveSummary.
ProfessionalproofreadinghasbeendonebyTheContentCreationCompany(CCC),UK.Theviews
and
conclusionsexpressed
inthisdocument
arethoseof
theauthors
and
should
not
beinterpreted
as
representingtheofficial
policies,either
expressedor
implied,of
their
respectiveorgani-
zations,the
Army
ResearchOffice,or
theU.S.Government.TheU.S.Governmentisauthorizedto
repro-
duceanddistribute
reprintsforGovernment
purposes
notwithstandingany
copyright
notation
herein.4ContentsExecutive
Summary·
.......................................................................................................................................................
·
3Introduction·.........................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
·
7Sustainability
Risks
and
Allocative
Harms·
..................................................................................................................
·
10A
Taxonomy
of
AI
for
the
Sustainability
Sciences·
.......................................................................................................
·
14AI
for
the
Sustainability
Sciences—A
Literature
Review·.............................................................................................
·
221Preparing
for
a
Future
of
Interconnected
Shocks·
.....................................................................................................
·
27Themebox1:
FoundationModelinginClimateandSustainabilityScience·
·
302Understanding
a
Complex
Earth
System..................................................................................................................................................
·
32Themebox2:UsingAItoDetectEarthSystemTippingPoints
·
363Stewarding
Our
Blue
Planet·
......................................................................................................................................
·
374Securing
Freshwater
for
All·
......................................................................................................................................
·415Enhancing
Nature’s
Contributions
to
People..........................................................................................................................................
·456Prospering
on
an
Urban
Planet....................................................................................................................................................................
·
50Theme
box3:ClimateIQ:Empowering
Communities
to
Prepare
for
Climate
Threats
with
Hyperlocal
Data
·
547Improving
Sustainability
Science
Communication·
...................................................................................................
·
56Theme
box4:Climate
Emotions
and
AI
·
608Collective
Decisions
for
a
Planet
Under
Pressure.................................................................................................................................
·
61Conclusions
and
Recommendations·
..........................................................................................................................
·
65Bibliographies.........................................................................................................................................................................................................·
72Appendix...................................................................................................................................................................................................................·
865IntroductionOurlivingplanetandtheclimatesystemarechangingatanunprecedentedpace.
Theyears
2023and2024werecharacterizedbyunprece-
dentedwarmingacross
theglobe.1
Oceanheat
reacheditshighestobservedlevelsin2024,2causingsevereecologicalpressureonmarinelifeandputtingcommunitieswhodependon
the
oceanfortheirfoodsecurity,wayoflife,andlive-
lihoodsatincreasedrisk.3
Childrenbornthisdec-
adeareexpectedtoexperienceanunprecedent-
ednumberofextremeweathereventsduringtheirlifetime.4
Thecontinuedlossofecosystems
andbiodiversity,5
and
the
transgressionofsev-
eralplanetaryboundaries—theestimatedsafeoperatingspaceforEarthSystemstabilityand
humanprosperity—posesevereriskstosociety.6
The
timeforforcefulandevidence-basedaction
thatsecuresasustainablefutureforallisnow.Theseprofoundchangeson
theplanetareunfoldingat
thesame
timeasanotherimpor-tantglobalshift:aperiodofrapid
technological
changeanddisruption.Sensors,autonomoussystems,artificialintelligence(AI),andothertechnologicaladvancesareon
thevergeofdisruptingmultipleaspectsofsocietiesandeconomies.Interestingly,advancesinAIarealso
contributingtonovelscientificbreakthroughs.7
Examplesincludemathematicsandcomputer
sciences,8
thepredictionofproteinstructures,9
and
thelifesciences,10
tomentiononlyafew.CouldusesofAIinsciencealsohelpusbetter
understandand
tackle
thecomplexsocial,eco-
nomic,andecologicalrepercussionsofachang-
ingplanet?
Thisreportfocuseson
thisparticular
questionwithafocusonissuesrelated
to
thesustainabilitysciences.
Thisfieldisinherentlyin-
ter-and
transdisciplinary;integrates
theanalysis
ofhumans,climate,andnature;andstrives
toin-formpeople’sandsocieties’ambitions
tosecure
asustainablefutureforall.11,12
Aswe
discusshere,AIoffersuntappedandunder-explored
potential
toaccelerate
this
typeofresearch.OurAmbitionThisreportexploresthepotentialofAIasaset
ofresearchmethodsinanumberofissueareas
associatedwith
thesustainabilitysciences.At
thecoreof
thesciencesis
theunderstandingthat
thebiosphere,withresilientecosystemsandtheservicestheyprovide,isvitalforhuman
healthandprosperity,andthathumansteward-
shipiskey
tosupportingecosystemresilience.12
Technology,
traditionallyencompassingbuiltandengineeredenvironments,butnowevermoredigital
technologies,isanintegralpartof
thesesocial-ecological-technologicalsystems,13
withfar-reachingimpact.Aswediscussin
this
report,AIisatbreakneckspeedbecomingin-creasinglyengrainedinshapinghowweunder-
standandinteractwiththeworldaroundusand,
indeed,ourlivingplanet.OurworkcomplementspreviousattemptstoexploreusesofAIforclimatechangeandrelat-
edissues(e.g.,EarthSystemforecasting14
and
biodiversitymonitoring15).Ourapproachisdelib-
eratelybroaderthanthatofothersynthesisre-
ports.Wedonotfocusondirectapplicationsof
AIorprescribespecificimplementationstrate-
giesforthepublicorprivatesectors.16,17
Instead,
weemphasize
thesystemic,cross-cuttingimplicationsofAIforsustainabilityresearch.Wechooseareaswherescienceandreal-world
actionmeet,inanattempttolayafoundation
foran“AIforSustainabilityScience”agenda.7Ourbroadsystemsperspectiveiscertainlymore
demanding.However,wearguethatit
surgently
neededtobuildthecapacityrequiredto
tackle
thesystemdynamicsofinterconnectedsus-tainabilitychallenges,especiallyinlightof
the
acceleratingpaceofplanetarychange.OurApproachThisreportistheresultofacollaborationthatstartedwithatwo-dayworkshophostedinStockholminmid-January2025,with>20scien-
tistsfromvariousscientificbackgrounds,includ-
ingecology,sustainability,social,EarthSystem,
andcomputerscience.ManyhaveexperiencefromworkinNGOs,privatecompanies,andpublicuniversitiesofapplyinganddeveloping
AImethodsintheirresearch.Ourworkhasbeen
structuredinthefollowingway:a.Editorial
teamstartedwiththeidentification
ofissueareas(NovemberandDecember2024)b.SystematiccollectionandAI-augmentedanalysisofrelevantliteratureforeachissue
area(November2024
toJune2025)c.Domainexpertanalysisandredraftingofissueareas,partlyinformedby
theidentified
literatureanalysis(January2025
toAugust
2025)d.Iterateddiscussionswithchapterauthorteamsaboutcontentofidentifiedissueare-
as(February2025
toJune2025)e.Collectivegrading,andanalysisofpotential
andgaps(July2025
toAugust
2025)Domainexpertdiscussionsandwritinghavebeenstructuredaroundthreemainsubareas,summarizedinFig.1:AIfordatacollectionand
generation;AI-assistedpredictivemodeling;and
AI-assisteddecision-making.LimitationsAlargepartofthisreportcentersaroundeight
broadissueareas.
Theareaswerepreselected
by
theeditorialteamanddiscussed,andrefor-
mulatedafterdiscussionswithcontributingparticipantsof
theworkshopandco-authors.Theissueareashavebeenchosenbecauseof
theirinter-and
transdisciplinaryfeatures,aswell
astheirimportancetopeopleinatimeofrapid
changeforourlivingplanetandclimatesystem.
Itisimportant
toacknowledge
that
theissueFig.1.FlowchartillustratingAI-assistedresearchprocesses.Adapted
from
Camps-Valls
et
al.,2025,p.2.18areasandquestionscouldhavebeenframeddifferently,andadditionalonescouldhavebeen
included.Suchchangesmighthaveinfluenced
theoutcomesandinsightspresented.
Theanalysisalsoreliesheavilyonthecompositionof
invitedco-authorsandtheirexpertise.Wehope,
however,thattheapproachchosenherecaninspirefurtheranalysesbyothers.PotentialofWorkWhyisthisreportneeded?Webelievethatwhile
AIhasmuch
tooffer
to
thesustainabilityscienc-
es,ithassofarbeenunclearhowthepotential
couldbefulfilled.AnumberofreportshaveexploredthepotentialofAIforscienceingen-
eral,43
45
butfewhaveaddressedissuesrelated
topeople,climate,nature,andtheirinteractions.
Thisissurprisingconsidering
theimportanceofastableclimatesystemandaresilientliving
planetforhumandevelopmentandwell-being,
economicprosperity,andinnovation.PredictionsPatterns&
trendsAttributionsCausalrelationsMachinelearningComputervisionExplainableAICausalinferenceDetrandingDenoisingGap-fillingRedefinehypotheses,modelimprovement/adaptionAIfordatacollectionandgenerationData(social,ecological,climate)AI-assistedpredictivemodelingAI-assisteddecision-makingInformdata
collectionand
preprocessingNaturallanguage
processingUnderstanding
ObservationsPreprocessing
ReanalysisIntegrationModeling8Theworkpresentedhereshouldbeofinterestto:•
Sustainabilityresearchers,byofferingan
overviewofusesofAIforsustainability
researchinvariousareas•AI
developers
in
the
private
sector
lookingtocontributetoresearchanddevelopmentin
areasofurgentimportance
tosociety•
Publicagenciesinterestedinassessinghow
AImaybeusedintheirworktounderstand
sustainabilitychallenges•Research
agencies
and
philanthropies
look-
ing
toassessemergingareaswherenovel
applicationsofAImethodscouldhelpdrive
scientificbreakthroughsLone
Thomasky&Bits&Bäume/better
(CCBY4.0)Artificialintelligence(AI),autonomoussystems,
andassociatedtechnologiesareincreasinglybeingpresentedasdisruptivetechnologieswith
theabilitytofundamentallychangeresearch,so-
ciety,andindustry.Howtodevelopsuchtechnol-
ogiesresponsibly,andhowtobest
monitorand
governpossiblerisks,has
ledtoagrowing
body
ofscientificliterature.Thisincludesresearchon
AIethics,1
law,2
sociology,3
allocative
harmsthat
affectvulnerablesocialgroups,4–6
andthepo-liticaleconomyofanincreasingly
digitized
and
data-drivenworld7,8—justtomentionafew.Anumberofsustainabilityrisks
and
ethical
chal-
lengesemergefromincreasedusesofAI.9
We
discusssomeofthesebelowbutwouldliketo
emphasizethatthelistisnotexhaustive.Sus-tainabilityscientists,largeresearchprograms,
andresearchcentersplanningon
usingAI
intheirworkneedtoconsidereachoftheserisks,
whilealsolookingintoother
potentialones,
and
mitigateharmfuleffects.Material,Carbon,andWater
FootprintAstheuseofAIasaconsumerproduct
increas-
es—forexampleindigitalservices
likechatbots,
andthegenerationofsyntheticcontentlikevideosandtext—sodoestheecologicalandclimatefootprintofitsunderpinning
infrastruc-
ture.Thisincludestheamountofe-waste,such
asobsoletespecializedprocessors(graphicsprocessingunits[GPUs],tensorprocessingunits
[TPUs]),datacenterinfrastructure(servers,
hard
drives,networkingequipment),andend-of-lifeAIdevices(robots,autonomousvehicles,smart
sensors).E-wasterepresentsagrowingrisk
as
it
is
known
toreleasetoxicsubstanceslikelead,
mercury,
andcadmiumintotheenvironment.Thesepol-
lutantsinfiltratesoilandwatersources,andcan
leadtosignificantecologicaldegradationand
healthrisksforcommunitiesneare-wastedis-
posalsites.10
Communitiesaffectedbye-waste
pollutionoftenlackadequatelegal
protectionoravenuesforrecourseagainstcorpor
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