2026拨开舆论表象：“AI 泡沫”的真实内涵白皮书

BEYONDTHEHEADLINES:WHATTHE'AIBUBBLE'REALLYMEANS1

Contents

1.1KeyTakeaways 2

1.1.1AIBuild-outIsIncreasinglyFinancedofftheBalanceSheet 2

1.1.2CircularFinancing:WhereIstheMoneyComingfrom? 2

1.1.3DepreciationAssumptionsAreCloudingEarnings 2

1.1.4DemandforAIInfrastructureIsReal 2

1.1.5AICapitalExpenditureOutpacingtheFreeCashflowthatitSupports 2

1.1.6InferencePricingReflectsStrategy,NotaCeiling 2

1.1.7ContagionRiskfromtheAIIndustry 2

1.2Summary 3

1.3Introduction 4

1.4TheContext 4

Figure1:AIModelDevelopmentLifecycle 5

1.5ShadowBorrowingandOff-balance-sheetDebt 5

Figure2:TopFiveHyperscalers’EstimatedCapExSpend($bn) 6

Figure3:ShadowBorrowingandOff-balance-sheetDebtIllustration 6

Figure4:BeignetInvestorLLCCorporateStructure 7

1.6CircularFinancing–theInfiniteMoneyGlitch 7

Figure5:NVIDIA’sCircularFinancingLoop:Example1 8

Figure6:NVIDIA’sCircularFinancingLoop:Example2 9

1.7TheBearCase 10

1.7.1HyperscalersAreUnderstatingDepreciationinHardware 10

Table7:Network/ComputeDepreciationUsefulLife(Years) 11

1.7.2FreeCashflowIsStrugglingtoKeepUpwithCapEx 11

1.7.3RevenueConcentrationIsaRisingRisk,CentredAroundaFew

Companies 12

Figure8:NVIDIARevenueConcentration 12

1.7.4ThePowerConstraintHasBeenUnderstated 12

1.7.5TheAIBoomIsBecomingSystemic-andInstitutionsAgree 13

1.7.6IndirectExposureandTransmissionRisktoSavers 14

Figure9:S&P500ConcentrationoftheTop10OverTime 14

1.7.7Open-sourcedCompetitionThreatfromtheEast 15

1.7.8MarketSignalorSimplyContrarian?TheShortPositionAgainst

Semiconductors 16

1.8TheBullCase 16

1.8.1CapExIsBeingSupportedbyMorethanJustAIRevenue 16

Figure10:QuarterlySumsAcrossMicrosoft,Amazon,Alphabet,Meta,and

Oracle($bn) 17

1.8.2UtilisationofAIInfrastructureIsEssentiallyMaxedOut 17

1.8.3TheBacklogofOrdersIsConvertingtoCash 18

1.8.4SeparatingCircularFinancingfromEquityInvestment 19

1.8.5LabsAreSubsidisingPricingforCustomerAcquisition,forNow 20

1.9JuniperResearch’sHouseView 21

FINTECH&PAYMENTS

BEYONDTHEHEADLINES:WHATTHE'AIBUBBLE'REALLYMEANS2

1.1KeyTakeaways

1.1.1AIBuild-outIsIncreasinglyFinancedofftheBalanceSheet

Hyperscalershavemovedagrowingshareofartificialintelligence(AI)infrastructuredebtintospecialpurposevehiclesandsale-leasebackstructures;keepingitoutsidetheirconsolidatedaccounts.Thesearrangementsarelegalanddisclosed,buttheymeanreporteddebtunderstatesthefulleconomicobligationsbehindtheAIbuild-out.

1.1.2CircularFinancing:WhereIstheMoneyComingfrom?

Ahandfulofchipmakers,cloudproviders,andAIlabsarefundingoneanother

throughequitystakes,purchasecommitments,andguarantees,withcapital

eventuallyreturningtowhereitstarted.Thesearrangementshavelargelybeen

fundedfromoperatingprofitandfreecashflow,ratherthancreditextendedagainstfuturesales,whichseparatesthedealsfromhistoricvendorfinancing.Whatremainsundisclosedishowmuchoftheresultingdemandisgenuinelyexternal.

1.1.3DepreciationAssumptionsAreCloudingEarnings

Howlongagraphicsprocessingunit(GPU)isassumedtolastshapesbothreported

earningsandthecollateralvaluebehindGPU-backeddebt.Severalhyperscalershavelengthenedtheseassumptionsinrecentyears;boostingnear-termprofit.Whilstthisisalegitimateaccountingjudgementandnotfraud,itconcentratesriskinthe

earningsmultiplesandresidual-valueguarantees,shouldtheassumptionsprovetobetoogenerous.

1.1.4DemandforAIInfrastructureIsReal

Unlikethefibreopticsbuild-outofthelate1990s,datacentrevacancyhasstayednearzero,andalargeshareofnewcapacityispreleasedbeforecompletion.

Contractedrevenuebacklogsatthelargestcloudprovidersareconvertinginto

collectedcash,ratherthansittingasunpaidreceivables,whichistheclearestevidenceseparatingthiscyclefrompreviousinfrastructurebusts.

1.1.5AICapitalExpenditureOutpacingtheFreeCashflowthatitSupports

Freecashflowamongtheleadinghyperscalersisthinning,butspendingremainsdiscretionary,andislargelyunderwrittenbyprofitablecorebusinessessuchasadvertising,retail,andenterprisesoftware,whichcontinuegeneratingcash

independentlyofwhetherornotAIitselfpaysoff.

1.1.6InferencePricingReflectsStrategy,NotaCeiling

CurrentAIinferencepricingsitsbelowthecostofservingit-deliberately.Itisa

customeracquisitionstrategytowinmarketshareagainstcheaper,open-weight

competition.Thatcompetitionhascapturedhigh-volume,low-valueusage,whilst

enterprisespendremainsconcentratedamongWesternfrontierproviders.Today’s

pricingisthereforenottrulyindicativeofthetechnology’sultimaterevenuepotential.

1.1.7ContagionRiskfromtheAIIndustry

ThelargestAI-linkedcompaniesnowaccountforahistoricallyhighshareofmajor

equityindices,andagrowingshareofAIfinancingrunsthroughprivatecredit,ratherthanbanks.Eachchannelmeansthatordinarysavers-throughpensionsandindex-trackingretirementproducts-carryindirectexposuretoasector-specificriskthey

didnotchoosetotake.TheInternationalMonetaryFund(IMF),BankforInternationalSettlements(BIS),andtheFederalReserveBankofNewYork(NewYorkFed)have

eachflaggedthisconvergenceasagenuinesystemicconcern.

FINTECH&PAYMENTS

BEYONDTHEHEADLINES:WHATTHE'AIBUBBLE'REALLYMEANS3

1.2Summary

Acrossthesekeytakeawaysaretwomainrisksrunninginparallel.Thefirstis

structural,andcentresaroundoff-balance-sheetfinancing,circularfunding,and

lengtheneddepreciationassumptions–eachobscuringthetrueleverageand

earningsqualitybehindthebuild-out.Thesecondistransmissionrisk:concentratedequityexposureandthegrowingroleofprivatecreditcantransmitrisksbeyondthesectoritself,intopensionsandindex-trackingproductsheldbysaverswhodidnot

choosetheexposure.Genuinedemandandcash-convertingrevenuebackthebullcase,butpiecesofthestoryarestillmissing-howmuchofthefinancingand

resultingdemandstemsfromrealusage.

FINTECH&PAYMENTS

BEYONDTHEHEADLINES:WHATTHE'AIBUBBLE'REALLYMEANS4

1.3Introduction

Thebuild-outofAIhasbecomethelargestconcentratedcapitalinvestment

programmeinthehistoryoftechnology.ThefourlargestUS-basedhyperscalersareexpectedtospendupto$725billionin2026incapitalexpenditure;up77%from

2025’sfigureof$410billion.Theoverwhelmingmajorityofthisexpenditureservesasingleobjectiveofbuildingandoperatingthecomputationalcapacityrequiredto

trainandrunAImodelsatscale.

Theaggressiveinvestmentcycleisduetotherapidriseoflargelanguagemodels

(LLMs),bothinusageandcapability,Thesemodelsaresystemstrainedonvast

datasetstoproducetext,code,andotheroutputsbypredictinglikelysequences.

Trainingandservingthesemodelsiscomputeintensive,anditisthissamedemandforcomputationthatconvertsdirectlyintodemandforphysicalinfrastructure.

beingfinanced,accountedfor,andabsorbedbythewidereconomy.Itanalyseshowoff-balance-sheetstructuresandvendor-stylearrangementsarenowcommon

amongthelargestplayers,aswellasthebullandbearcase;summarisingwithJuniperResearch’sexpertview.

1.4TheContext

ThemodernwaveofAIandLLMstracestoasingleproductmoment.WhenOpenAIreleasedChatGPTinlate2022,aconversationalAIchatbotpoweredbyitsGPT-3.5

model,itdemonstratedthatLLMshadcrossedthelinefromresearchtomass-

marketutility.TheAIchatbotquicklyfoundproductmarketfit;serving100million

monthlyactiveusersinJanuary2023.ByJuly2025,OpenAI’sresearchpaper

mentioned700millionweeklyusers,andbyMarch2026,thecompanysaidChatGPThadcrossed900millionweeklyusers.

Belowaretermsthatreoccurthroughoutthereport:

•Graphicsprocessingunit(GPU):Aspecialisedelectroniccircuitdesignedtorapidlymanipulateandaltermemorytoacceleratethecreationofimages,3Dgraphics,

andvideos.ItexcelsinsupportingAIsystemsduetoitsparallelprocessingarchitecture,whichallowsittohandlethousandsofcalculationsatonce.

•LLMs:LLMsareatypeofAItrainedonmassiveamountsofdata,whethertext,

image,video,code,orotherformats.Theyuseadvanceddeeplearningalgorithmstounderstand,summarise,translate,andgeneratehuman-likelanguage.

•Hyperscalers:Thesearemassivecloudserviceprovidersthatbuildandmanageenormous,globallydistributeddatacentres;offeringhighlyscalablecomputing,storage,andnetworkingresourcesondemand.

•Neocloud:AspecialisedcloudproviderdedicatedtoAIworkloads.

•Specialpurposevehicles(SPVs):Thisreferstoalegallydistinctsubsidiarycreatedbyaparentcompanytofulfilanarrow,specificobjective.

WhilsttheinvestmentcaseforAIpresentsitself,thefinancialarchitectureisfarlesswellunderstood.ThiswhitepaperexamineshowtheAIinfrastructurebuild-outis

WithinmonthsofChatGPT’slaunch,everymajortechnologycompanyhad

committedtobuildingorbuyingfrontierAIcapability,withcompaniessuchas

AnthropicandGoogle(whoseLLMworkpredatesChatGPT)rushingtowards

competitiveproductisation.Googleacceleratedandconsolidateditseffortsunder

DeepMind,anAIresearchlaboratoryandsubsidiaryofAlphabet,andnowfieldstheGeminiline,Google’ssuiteofgenerativeAImodels.Similarly,MetaopensourceditsLlamafamily,acollectionofopen-weightAImodels,andMicrosoftpartneredwith

OpenAI;essentiallydrivingapushofAIintoitsentiresoftwareestatewithCopilot,anAI-powereddigitalassistantdevelopedbyMicrosoft.

Understandingwherethecapitalgoesrequiresunderstandinghowafrontiermodelisbuilt.Theprocessfollowsapipeline.Firstly,developersassembleandcleanvast

quantitiesoftrainingdata.Thisdataincludesscrapedwebsites,licensedand

proprietarycontent,books,papers,code,domain-specificcurateddata,synthetic

data,enterprisedata,andmore.Theythenpre-trainabasemodel,whichisthemostcomputationallyintensivestageinwhichthemodellearnsgeneralpatternsfromthatdataacrossweeksormonthsofcontinuousprocessing.Themodelisthenfine-tunedandalignedtofollowinstructionsandbehavewithinitslimitsthroughsafetyand

capabilitytesting–uponwhichthemodelisreleasedtousers,activelymonitored,anditerateduponasreal-worlduseexposesitsweaknesses.

FINTECH&PAYMENTS

BEYONDTHEHEADLINES:WHATTHE'AIBUBBLE'REALLYMEANS5

Figure1:AIModelDevelopmentLifecycle

Source:JuniperResearch

Ofallstages,pre-trainingdominatesthecoststructureofanAImodel.Itdemands

enormous,purpose-builtinfrastructure,suchasdatacentresfilledwithspecialised

chipssuchasGPUsorTensorProcessingUnits(TPUs),tiedtogetherwiththe

significantelectricalpowertorunthem,aswellasthesubsequentcoolingsystemstokeepthemstable.Ingeneral,asinglefrontiertrainingruncanutilisetensof

thousandsofchipsformonthsatatime.Consequently,pre-trainingcancreateveryhighcapitalbarriers;requiringgigawatts(GW)ofpowerandbillionsofdollarsof

hardware.

IntheearlystagesofthemodernAIboom,theleadingfirmslargelypaidfortheinfrastructurethemselves;utilisingsubstantialfreecashflow,thecashabusiness

retainsafteroperatingcostsandroutinereinvestment,anddirectingitintoAIbuild-out.Capitalexpenditure(CapEx)waslargeandgrowing,butcomfortablycoveredbyfreecashflow.However,between2025and2026thisrelationshipshifted.CapExwasacceleratingfasterthancashgeneration,andplannedspendingamongsttheleadingfirmsbegantooutrunavailable.Thisledtheindustrytoreachbeyonditsown

balancesheetforcapital.

TherearetwodominanttrendsacceleratingthepaceofAIdevelopmentand

infrastructurespending.Firstly,thepursuitofartificialgeneralintelligence(AGI),ahypotheticaltypeofAIthatcanmatchorexceedhumancognitiveabilitiesacross

manytasks.Secondly,theincreasedcompetitionfromChina,whereChineseAI

laboratoriesreleasegenuinelycompetitiveopen-weightmodels,suchasDeepSeek,Alibaba’sQwen,andZhipu’sGLM,atafractionofthepriceoftheirWestern

counterparts.Forinstance,inearly2025,DeepSeek’sR1modelwasreleasedand

matchednear-frontierperformanceatsignificantlylowercost,whichbrieflyerasedhundredsofbillionsofdollarsinUSchipmakervaluations.Similarly,by2026,

Alibaba’sQwenfamilyhadovertakenMeta’sLlamaasthemostdownloadedopenmodelecosystemintheworld.

Theunderlyingdynamicisthatefficientthatchallengersarequicklyclosingthe

capabilitygap,andremainingstagnantisnotanoption.Asaresult,theleading

developersandlabsintheWesternhemisphereareturningtoincreasinglycreativemethodsoffinancingtheirexpansion.Inthiswhitepaper,ourresearchwillcoverthemechanismsthatarecurrentlypresentinthemarket,andtherisksthose

mechanismscarry.

1.5ShadowBorrowingandOff-balance-sheetDebt

Thecapitaldemandsfromthebuild-outofAIinfrastructurehasoutrunthecashflowavailabletomeetthem.Across2025and2026,thefivelargesthyperscalersareon

coursetocommitmorethanatrilliondollarstoAIinfrastructure.Thisfigureexceedstheircombinedearningsandfreecashflow.Theshortfallmustbefundedsomehow,andraisingconventionaldebtagainstitcarriesacostbeyondinterest.Similarly,

risingleveragethreatensthecreditratingsandbalance-sheetstrengththatunderpinthesecompanies’premiumvaluations.

FINTECH&PAYMENTS

BEYONDTHEHEADLINES:WHATTHE'AIBUBBLE'REALLYMEANS6

Figure2:TopFiveHyperscalers’EstimatedCapExSpend($bn)

Figure3:ShadowBorrowingandOff-balance-sheetDebtIllustration

Source:JuniperResearch

Meta’sHyperionisaprimeexampleofthismechanismatplay,andacasestudyforotherstocopy.InOctober2025,Meta,andfundsmanagedbyBlueOwlCapital,

closedajointventuretobuildandowna4-million-square-footcampusinLouisiana.Theprojectisamulti-GWclusterthatwillultimatelydeliveraround5GWofcompute.BlueOwlCapitalholds80%ofthevehicle,whilstMetaownstheremaining20%.To

raisefunding,BeignetInvestorLLC,theSPV,issuedasingle144A–for-life,senior

Source:JuniperResearch

Asaresult,off-balance-sheetfinancinghasbecomeaprimarymeansofresolving

thistension.Ratherthanborrowdirectly,ahyperscalerroutesaprojectthroughanSPVwhichisastandalonelegalentitycreatedtoownasingleassetandcarryits

debt.Thevehicleraisesthefinancing,buildsorholdsthedatacentre,andleasesit

backtothehyperscalerunderalong-termcontract.Thetenantbookspredictable

leasepaymentsasanoperatingexpense,andthedebtsitswiththeSPV–outsideoftheparent’sconsolidatedaccounts.

secured,fullyamortisingbondof$27.294billiontofinancethecampus.Thenotesmaturein2049,andwereboughtmostlybyPIMCO,BlackRock,andsimilar

institutions.ThebondsareratedA+,yielding6.58%atissue;aratemoreassociatedwithhigher-yieldingpaper.Thepremiumisthemarketquietlysignallingmoreriskthantheratingimplies.

FINTECH&PAYMENTS

BEYONDTHEHEADLINES:WHATTHE'AIBUBBLE'REALLYMEANS7

Figure4:BeignetInvestorLLCCorporateStructure

Source:JuniperResearch

Thisblueprintisalreadybeingcopied.Forexample,Oracle’sOpenAIfacilityin

Abilene,TexasisheldinacomparablevehiclebackedbyBlueOwlCapitaland

JPMorgan,whilstCoreWeavehasraisedmorethan$8billionthroughabankruptcy-remoteSPVthatownsitsGPUsandborrowsagainsttake-or-paycontractswith

investment-gradetenants.Onestimate,Oracle,Meta,xAI,andCoreWeavehave

movedaround$120billionofAI-relateddebtofftheirbalancesheetswiththis

method.BIScalledthis“shadowborrowing”initsMarch2026QuarterlyReview–otherwisereferringtoitascommitmentsthatareeconomicallyequivalenttodebtwhichlargelyresidesoutsidethecorporatebalancesheet.

Withthesestructures,theconcernisnotabouttheirlegalityorwhethertheyare

improper-mostaredisclosed,rated,andlegallyrobust.Theissueariseswhen

stakeholderswhorelyonmetricsfrombalancesheetsarenottrulyunderstanding

theriskssurroundingtheentity.Inthissetup,thetrueleverageorriskis

understated,asthedebtsitsinsideoftheSPVandnotofthetenantcompany.Asa

result,ahyperscalerassessedonreporteddebtalonecanlookconsiderablystrongerthanthesamefirmassessedonthefulleconomicobligationsunderpinningits

infrastructureandbuild-out.Thisstructureisoftencomparedtosimilardebt-

manoeuvringtechniquesasthoseofthelate1990s,whereEnronsimilarlyparkeditsobligationsinoff-balance-sheetvehicles.However,thedistinctionhereisthatAI

structuresaredisclosedandlawful,whereasEnron’swereconcealedandfraudulent.Theunderlyingfactorsharedbetweenthetwoisthatthebalancesheetcan

understatetheriskanenterpriseactuallycarries.

Anotherelementtothisstoryishowthedebtisbeingratedbyratingagencies.

Investment-graderatingsondatacentreSPVsrestlargelyonthecreditworthinessofthetenantandthedurabilityofitslease,ratherthanthestandaloneeconomicsof

theasset.Therefore,aweakertenantwouldpricemateriallyhigherthanastrongerone.Thislogicisdefensibleforaslongasthetenantcankeeppayingdownonthe

debt.Itislessreassuringwhenfactoringinthatthecollateralunderlyingthedebtarepurpose-builtfacilitieswithlimitedalternativeuse,andGPUswithashorter

economiclifethanthedebtwrittenagainstthem.

1.6CircularFinancing–theInfiniteMoneyGlitch

Thetermcircularfinancinghasbeenmakingheadlinesasoflate.However,the

actualdetailsbehindthedealsareoftenmisunderstood;leadingtoa

misrepresentationofthesituation,whetherforbetterorworse.Typically,circular

financingreferstowhencorporateentitiesfunnelcapitalintoeachotherthrough

variousmechanismssuchasequityinvestments,debtobligations,options,etcto

createcontinuousgrowth.Atitssimplest,asupplierinvestsinacompanyonthe

explicitorimplicitunderstandingthattherecipientwillspendthosefundsbuyingthesupplier’sproducts–returningthecapitaltoitsorigin;creatingtheappearanceof

strongdemandwhiletheinvestorindirectlyfundsitsownsale.

FINTECH&PAYMENTS

BEYONDTHEHEADLINES:WHATTHE'AIBUBBLE'REALLYMEANS8

IntheAIspace,thisrunsasaloopthroughasmallcohortofentitiescomprising

investors,suppliers,andcustomers.Capitalleavesthebalancesheetofoneentity

andthenreturns;havingbeenrecognisedasrevenueatdifferentstagesoftheloop.Forexample,achipmakerinvestsinanAIlab;thelabthencommitshundredsof

billionstocloudproviders;thoseprovidersbuyGPUstofulfilthecontracts.Ateachlegofthetransaction,revenueorcontractualobligationsarebookedfromthesameunderlyingspend.

Figure5:NVIDIA’sCircularFinancingLoop:Example1

Source:JuniperResearch

Thefinancingstructureinfigure5madeheadlineswhen,inFebruary2026,

chipmakerNVIDIAannounceda$30billiondirectequitystakeinOpenAI’s$110billionround,alongsidebindingcommitmentsfor3GWofinferenceand2GWof

trainingcapacityonNVIDIA’sVeraRubin,anext-generationAIsupercomputing

platform.Inparallel,OpenAIcontractedOracleforcomputeinapartnershipdeal

exceeding$300billionoverfiveyears;coveringupto4.5GWofStargatecapacity.It

alsoenteredaseven-yearagreementwithAWSamountingto$38billion,which

expanded,inFebruary2026,byafurther$100billionovereightyears,withAmazonseparatelyinvesting$50billioninOpenAI.Additionally,itsecuredongoingAzure

consumptionthroughadefinitiveagreementsignedwithMicrosoftinOctober2025,whichcontractsOpenAItopurchaseanincremental$250billionofAzureservices.Toservicethesecitedcontracts,Oracle,AWS,andneocloudproviderssuchas

CoreWeavemustbuyNVIDIAGPUs–thuscompletingtheloop.Capital,initially

departedfromNVIDIAasinvestment,returnsasrevenue,whilstbeingbookedasdemandateachintermediatestage.

Variantsofthistypeofstructureproliferatedthrough2025andthefirsthalfof2026;eachaddressingadifferentconstraint.Theequity-for-cashvariantillustratedbelowmadeheadlinesinOctober2025,where:

•AMDissuedOpenAIawarrantforupto160millionshares,roughlyatenthofthecompany,atanexercisepriceofonecent.Thiswasvestingintranchestiedto

purchasesofAMDInstinctGPUsscalingto6GW,furtherconditionedonAMD’ssharepricereaching$600forthefinaltranche.

•AMDrepeatedthesamestructurewithMetainFebruary2026;withanidentical

160millionshareperformancewarrant,alongsideachipcommitmentreportedatupto$100billionandthesame6GWtarget.

•Inbothdeals,thetwowarrantsarethesameinstrument;eachvestingintranchesagainstpurchasesscalingto6GWofAMDGPUs.Underthissetup,wehavea

suppliercompensatingthecustomerwithitsownstock,fortheactofbuyingfromthatsamesupplier.

Anothertypeof‘circular’fundingistheguarantee.InSeptember2025,CoreWeave

andNVIDIAenteredintoanorderagreementwithaninitialvalueof$6.3billion,

underanexistingMasterServiceAgreement(MSA)datingfromApril2023.AnMSAisafoundationalcontractbetweentwopartiesthatoutlinesthegenerallegaland

operationaltermsfortheirongoingbusinessrelationship.ThedealoutlinesthescenariowhereCoreWeave’sdatacentrecapacityisunderutilisedbyitsown

FINTECH&PAYMENTS

BEYONDTHEHEADLINES:WHATTHE'AIBUBBLE'REALLYMEANS9

customers;requiringNVIDIAtopurchasetheresidualunsoldcapacitythroughApril2032.Asaresult,NVIDIAbecomesthebuyeroflastresortforcapacitybuilttohouseNVIDIAchips.Theguaranteealsofunctionsasacreditenhancement.Muchashowacosignerfunctionsforaloan,itallowsCoreWeavetoborrowmore,andatbetter

rates,thanitsownbalancesheetwouldsupport,withCoreWeavespendingtheproceedsonNVIDIAhardware.

AnotherexampleisthatofxAI’sColossus2build-outinMemphis,whichisbeing

financedthroughanSPVestablishedbyValorEquityPartners;raisingroughly$20

billion.Approximately,$7.5billionisequityand$12.5billionisdebtarrangedwith

ApolloGlobalManagementandDiameterCapitalPartners,andcollateralisedbytheGPUsthemselves,ratherthanbyxAI.TheentitywillacquireNVIDIAchipsandleasethembacktoxAIoverfiveyears.ThedebtwillbecollateralisedbytheGPUs,ratherthanbyxAI’sbroaderassets,andxAIholdsanoption–notanobligation–toacquirethehardwarewhentheleaseends.

Figure6:NVIDIA’sCircularFinancingLoop:Example2

Source:JuniperResearch

Undertheagreement,ifNVIDIAchipsareworthlessin2030thanthelenders

assumed,thelosswillsitwithValor,Apollo,andDiameter.Intheeventof

bankruptcy,creditorrecoursethereforefallsuponthehardware,nottothe

operatingcompanyonwhichitdepends.ThechipsneverappearonxAI’sbalancesheet,andthe$12.5billionneverappearsasdebt.Thisstructurealsorelocates

residualrisk.SincethedebtissecuredagainsttheGPUs,lendersareunderwritingaviewthatNVIDIAhardwarewillretainsufficientvalueacrossafive-yearperiodto

covertheexposure.Again,NVIDIAitselfisaninvestorintheSPV;committingupto$2billiontoavehiclewhosesolepurposeistopurchaseNVIDIAGPUs.NVIDIA,isboth

thesupplierandpart-owneroftheentity.

ThelastuniquelydistinguishablefinancingdealasoflatebeganinNovember2025,

whenNVIDIAandMicrosoftcommittedtoinvestupto$10billionandupto$5billion,respectively,inAnthropic.Simultaneously,Anthropiccommittedtopurchase$30

billioninAzurecomputecapacityandtocontractforuptoafurtherGW.Amazon

followedinApril2026;investing$5billionimmediately,withupto$20billionmoretofollow.Asaresult,Anthropiccommittedmorethan$100billionover10yearstoAWS’technologies;securingupto5GWofnewcapacityspanningGraviton,afamilyof

customARM-basedprocessorsdesignedbyAWSspecificallyforcloudcomputing,

andTrainium2throughTrainium4silicon.AWSTrainiumisafamilyofpurpose-builtAIacceleratorchipsde