IBM -2026电信行业现状报告 State of the Industry Telecommunications

State

ofthe

Industry

Telecommunications

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Telecommunications

ContentsExecutivesummary

Marketand

technologytrends

–

Macrotrends

–

Keychallengesandopportunities

–

Keytechnologiesandtheirimpact

–

Selectindustrykeyperformanceindicators

Strategicimperatives

–

Businessinnovation

–

Strategicflexibility

–

Operationalefficiency

–

Regulatorycompliance

Transformationaltechnologies

–

Hybridcloudbydesign

–

Securebydesign

–

Data

–

Automation

–

TraditionalandgenerativeAI

–

AgenticAI

–

Quantumcomputing

Casestudies

–

Europeantelco

–

Bell

–

BrasilTecPar

–

BTBusiness

–

e&

–

Movius

–

O2

–

Orange

–

stcgroup

–

TürkTelekom

–

Vodafone

–

VodafoneIreland

–

VodafoneIdeaLimited

Additionalinformation

–Expertcontributorsandregionalexperts

–AbouttheIBMInstituteforBusinessValue(IBMIBV)

–IBMIBVselectedstudies

–Notesandsources

Telecommunications

Executivesummary

Telecommunicationsisatastructuralinflectionpoint.Coreconnectivityrevenueisflattening.Capital

intensity,automationdemands,andenterpriseexpectationsareallontherise.Traditionaloperatingmodelsareunderstrain.

AInowdefinestelecom'sgrowthagenda.Revenuedependsonexecution,notambition.Most

communicationserviceproviders(CSPs)deployAI,yetfewconvertitintosustainedfinancialimpact.Executioniswhatseparatesleadersfromlaggards.

Operationalexecutiondeliversvaluefirst.Securityandcompliancearenolongercostcenters—theygeneraterevenue.

LargeenterprisesalreadycontractCSPsformanagedsecurity,regulatedcloud,andsovereigninfrastructure.Smallandmedium-sizedenterprises(SMEs)representaparallelgrowthtrack:90%ofallbusinessesgloballyarewillingtopay30%–35%premiumsformanagedbundlesmostCSPsdonotyetoffer.1BothsegmentsarerevenueCSPsforfeitbywaiting.

CSPswinbybuildingcustomer-centric,AI-firstdigitalplatforms.AI-enabledreinventionistheoperatingagendatoday.

Connectivityeconomicsareflattening.

Corerevenuegrowthisstuckat2.9%CAGR.Newsourcesof

.

valuearenowurgent,notoptional2

AIvaluedependsonexecution,notintent.

88%oftelecomexecutives

expectAI-ledrevenueby

2030,butonly28%cannamewhereitwillcomefrom.3

Executiondisciplineclosesthegap.

Operations,security,andplatformsdrivenear-termreturns.

Only25%ofAIinitiatives

deliverexpectedROItoday.4Platform-basedoperating

modelsindustrializeAIandclosethegap.

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Telecommunications

Marketand

technologytrends

–Macrotrends

–Keychallenges

andopportunities

–Keytechnologiesandtheirimpact

–Selectindustrykey

performanceindicators

4IBMInstituteforBusinessValue©2026IBMCorporation

Macrotrends

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AI,sovereignty,andautomationreshapetelecomeconomics

EnterpriseAImovesfrompilotstoplatforms

EnterprisesarepushingAIintoproduction.

LeadingCSPsnowrunAI-embeddedworkflows

acrosscustomercare,finance,sales,andIToperations.

Innovationtheater(runningAIprojectsfor

visibilitybutneverreachingproduction)isgivingwaytoproduction-scaleAIwith

measurablereturns.

ValuegoestoCSPsthatindustrializeAIwithstrongdatafoundations,governance,and

repeatabledelivery.

Capitalpressureacceleratesautonomousoperations

Afteryearsofheavynetworkandspectrum

investment,coreconnectivityrevenuegrowsat2%–3%annually.1

Meanwhile,capitalintensity,energycosts,and

serviceexpectationsrisefaster.Marginscompress,andthegapisnowa

board-levelconcern.

CSPsareturningtoAI-led,closed-loop

automationacrossnetworkandIToperations.Autonomousoperationsprotectmargins,

improveresilience,andcreateheadroomforinnovation.

SovereignAIopens

regulated-sectormarkets

Enterpriseandpublic-sectorbuyersnowrequirein-countryAI,dataresidency,auditability,and

lawful-accesscontrolstoadoptAIinregulatedmarkets.

CSPsprioritizesovereignAI

(AIinfrastructurethatkeepsdataprocessing

insidenationalborders)throughin-country

landingzonesandapplication-firstdeployments.Sovereigntyisacommercialcapability,nota

complianceobligation.CSPsthatpartnerwithgovernmentstobuildnationaldigital

infrastructuregainpreferentialaccesstoregulatedworkloads.

NetworksevolveintoAI-nativeplatforms

Networksshiftfromconnectivityutilitiesto

distributedAIplatforms.Edgeinferenceand

AI-enhancednetworkfunctionssupport

industrial,operationaltechnology(OT)and

mission-criticalusecases.PhysicalAIopensnewrevenueopportunitiesbeyondconnectivity.

CSPspositionthenetworkasanAIexecutionlayer.Orchestration,edgeinference,and

workload-basedpricingshapethenextcommercialmodel.

Fromconnectivitytoprogrammablevalue

Connectivityalonenolongerdifferentiates.

EnterprisesvalueprogrammablecapabilitiesdeliveredthroughAPIs.Qualityofservice,

identity,security,andedgeaccessnow

differentiatewherebandwidthalonedoesnot.

Networkexposureoperatesasaproduct.

LeadingCSPsmonetizenetworkintelligenceasdigitalservicesontopofconnectivity.

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Keychallengesandopportunities

Ambitionoutpacesenterprise-wideAI,automation,andgovernance

FragmentedAIexecutionversusenterprise-widetransformation

Challenge:FragmentedexecutionblocksAIvalue.Datasilos,talentgaps,andslow

deploymentkeepreturnstrappedinpilots.

Opportunity:AIdeliversreturnsasanenterprisecapability.Centralizedgovernance,shareddatafoundations,andrepeatabledeliveryscaleit

acrosstheorganization.

Edgemonetizationversuslegacynetworkdesign

Challenge:Misalignmentacrosssales,product,andnetworkteamsslowsedge

commercialization.Whatistechnicallypossibleisnotalwayspackagedorpositionedassellable.

Opportunity:Edgemonetizationaccelerateswhencapabilitiesareproduct-ready.

Standardizedoffers,OTintegration,andpolicyorchestrationturntechnicalpossibilityinto

revenue.

Costpressureversus

autonomousoperations

Challenge:Risingoperatingcostsandcapitalintensitystrainmargins.Legacytoolingand

siloedprocesseslimitflexibility.

Opportunity:Autonomousoperationsprotect

marginsandcreateheadroomforgrowth.AI-led,closed-loopexecutionreducescostvolatility

whileimprovingresilience.

Outcome-baseddemandversusbest-effortconnectivity

Challenge:Enterprisebuyersdemandoutcomeswithservicelevelagreements(SLAs).Partners

increasinglyfrontthecustomerrelationship,confiningCSPstoinfrastructure-onlyroles.

Opportunity:CSPscapturerecurringrevenue

wheretheyownorchestrationandassurance.

Co-sellingwithpartnersworkswhenCSPsretaintheservicelayerandcustomerrelationship.

SovereignAIrequirementsversusspeedtodeploy

Challenge:Enterpriseandpublic-sectorbuyersinregulatedmarketsrequirein-countryAI,dataresidency,andauditabilitybeforeadoption.

Theserequirementsaddcomplexitybutunlockregulatedworkloads.

Opportunity:SovereignAIunlocks

regulated-sectordemand.In-countryexecutionwithbuilt-incontrolsturnscomplianceinto

commercialaccess.

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Keytechnologiesandtheirimpact

TechnologydrivesAI-firstexecutionbyembeddingintelligence,security,andautomationintonetworkplatforms

Hybridcloudbydesign

Hybridclouddefinestelecomoperating

architecture.CSPsrunnetwork,IT,OT,andAIworkloadsacrosson-premises,privatecloud,

publiccloud,andedgetobalanceperformance,cost,andregulatoryrequirements.

ArchitecturalflexibilityenablesAI-driven

operationsandfasterservicerollout.ExecutionspeedtrackshowwellCSPsdesignforhybridfromthestart.

57%

oftelecomexecutivessaycloudandAIplayadecisiveroleinacceleratingtheshifttowardadvancedautonomousnetworks1

Securebydesign

Securitynowshapesrevenue,trust,andclientchoice.Platform-basedapproachesconsolidatefragmentedtools,embedzero-trustprinciples,andintegratedetectionandresponse

acrossenvironments.

CSPsdeliversecurityandcomplianceas

managed,outcome-basedservices(packageswheretheproviderisaccountablefortheresult,notjusttheconnection).

$7.6million

averageestimatedcostofanetworksecuritybreachin20242

Data,automation,andAI

Data,automation,andAIformtheexecutionbackboneofmodernCSPoperations.Trusteddataenablesinsight,automationdrivesscale,andAIconnectsdecisionstoactionacross

customercare,OSS/BSS,and

networkoperations.

Appliedtogether,theyenableclosed-loopexecutionandfastertime-to-market.

55%

oftelecomCEOssayproductivitygains

fromautomationaresogreattheymust

acceptsignificantrisktostaycompetitive3

AgenticAI

AgenticAIextendsautomationbeyondtaskexecutiontowarddecision-making.AIagentssense,decide,andactintargetedworkflows,acceleratingserviceresolutionand

operationalefficiency.

GovernancedetermineswhereagenticAIscalessafely.Oversightandaccountabilitynowshapewhereagentsdelivervalue.

44%

oftelecomorganizationsreportfullyimplementingagenticAIincustomer-facingchatbots4

Quantumcomputing

Quantumcomputingdemandspreparation,notdeployment.Near-termfocusison

post-quantumsecurityreadiness,withlonger-termpotentialinoptimizationandcryptography.

Earlyexperimentationstrengthensresilienceandprotectstrust.ItalsopositionsCSPsfor

defense,cybersecurity,andnational

competitivenessasquantummatures.

54%

oftelecomCEOsviewquantumcomputingasanopportunityfortheirorganization5

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Selectindustrykeyperformance

indicators

EarlyevidenceofAIandcloudimpactintelecom

Businessinnovation/commercialreturn

AI-drivencustomercarehasmovedfrompilotsto

production,changingthe

economicsofservicedeliveryandcontainmentatscale.

Median65%

ConversationalAIcontainmentrate:ShareofinboundcontactsfullyresolvedbyAIwithout

humanescalation1

Operationalefficiency

AIadoptionistranslatingintomeasurableP&Limpact,withmarginimprovementnow

visibleacrossCSPoperations.

Median8%

EstimatedimpactofAIonCSPoperatingmarginoverthepast12months2

Strategicflexibility/architecture

Hybridcloudadoptionis

deliveringmaterialnetwork

performancegains,

establishingthefoundationforAI-readyoperations.

Median

85%

Improvementinnetwork

performanceattributedtocloudcomputingadoption3

Telecommunications

Strategicimperatives

–Businessinnovation

–Strategicflexibility

–Operationalefficiency

–Regulatorycompliance

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Whattoknow

Businessinnovation

Connectivitynolongercarriesthegrowthstory

Connectivityeconomicsnolongersustaingrowth.EnterpriseandSMEcustomerspayforoutcomestheycansee,measure,andtrust.

Growthshiftstowardplatform-baseddigitalservices.ProgrammablenetworkanddatacapabilitiesdeliveredthroughAPIscreatenewdifferentiation.Autonomousnetworks

openthepathtoSLA-backedoffers.Ineachcase,valueconcentrateswhereCSPsretaincontroloforchestration,policy,andassurance.

Atrustgapisvisibleinbuyingbehavior.SMEsturntoITandcloudprovidersforsecuritynearlytwiceasoftenastheyturntoCSPs,signalingwhereaccountabilityandperceivedvaluesittoday.1LargeenterprisestrustCSPsinregulatedandmission-criticaldomainsbutroutebroadercybersecurityspendtohyperscalersandspecialists.

Businessinnovationreflectsanoperating-modelshift.Revenuemovesfromsellingaccesstodeliveringoutcomesacrossnetworks,data,andAI.

63%

oftelecomexecutivessayautonomousnetworkscanenablenewservice

modelsanddriverevenuegrowth2

88%

oftelecomexecutivesexpectAIto

contributetorevenueby2030,yetonly

28%

cannamewherethatrevenuewillcomefrom3

41%

ofSMEssaytheirprimaryCSPdoesnotunderstandtheirbusinessneeds—theaddressablegapbusinessinnovationisbuilttoclose4

Whattodo

Businessinnovation

69%

oftelecomexecutivessayautonomousnetworksareessentialtoenhancing

customerexperience1

SMEssaytheywouldpay

34%

moreforturnkey,outcome-based

bundlesthatimproveefficiency,reducedowntime,andstrengthencompliance2

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TurnAI,autonomy,andecosystemsintodifferentiatedgrowthnow

Shiftfromconnectivitytooutcomes:Reframeoffersaroundperformance,assurance,andbusinessresults,buildingautonomousnetworks,AI,andplatformsintothe

foundation.

Monetizeprogrammablecapabilities:Productizenetworkexposure,programmablequalityofservice,identity,security,andedgecapabilities.PairAPIswithclear

commercialmodelssotechnicalcapabilityconvertsintorevenue.

Packageoutcomes,notcomponents:Bundleconnectivity,cloud,security,andAIintointegratedofferswithvisibleSLAs,assurance,andROItransparencyforregulatedanddigitallyintensivecustomers.

Useautonomytofundgrowth:IndustrializeAI-driven,closed-loopautomationtoreduceoperatingcosts.Reinvestgainsintofastertime-to-marketanddifferentiatedservices.

Buildecosystemswithcontrolpoints:Co-sellwithhyperscalers,ISVs,andSIswhileretainingownershipoforchestration,policy,andSLAenforcement.Capturevaluebyowningtheassurancelayerandretainingthecustomerrelationship.

Convertnetwork,data,andAI

capabilitiesintooutcome-basedservicescustomerswillpayfor.

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Whattoknow

Strategicflexibility

Anchoringflexibilityinarchitecture,notambition

Telecomleadersrecognizetheneedtoinnovate,butmanystruggletodosowhile

sustainingday-to-dayoperations.Architecturalreadiness—notintentorinvestment—istheconstraint.

Cloudadoptionisunderway,butprogressisuneven.WithoutAIintegration,cloudisadeploymentchoice,notatransformationlever.Disconnectedplatformstrapvalueinpilots.OrchestrationdetermineswhetherCSPssellconnectivityoroutcomes.

Telecomnetworksnowfunctionascriticalnationalinfrastructure.Sovereigntyrequiresdemonstrableauthorityacrossthetechnologystack,notnarrowdatalocalizationthatslowsinnovationandcompoundsconcentrationrisk.Sovereigntyaddsarchitectural

requirementsthatdependondesign,notdefaults.

Budgetalonedoesnotcreateflexibility.Architecturedoes.

59%

oftelecomCEOsstruggletobalancefundingexistingoperationsand

investingininnovationwhenunexpectedchangesoccur1

42%

oftelecomCEOssaytheirorganizationhasdisconnectedtechnologyduetothepaceofrecentinvestments2

63%

ofnetworkexecutivescite

interoperabilityissuesacrosscloudprovidersasamajorhurdle3

13IBMInstituteforBusinessValue©2026IBMCorporation

Whattodo

Strategicflexibility

58%

ofCSPsworryaboutdependencyonasinglecloudproviderlimitingflexibility1

62%

oftelecomCEOssayallocatingmorebudgetflexibilityfordigitalopportunitiesiscriticalfor

long-termgrowth2

ConvertcloudfoundationsintoAI-ready,orchestratedplatforms

Buildaneutralorchestrationlayer:ConnectAImodels,platforms,andapplicationsacrossbusinessandnetworkdomainsthroughvendor-neutralorchestration.

ModernizeBSS/OSSandenterpriseplatformsforagility:ShifttoAI-firstplatformsthatsupportrapidproductlaunches,omnichannelengagement,andoutcome-based

commercialmodels.

AnchorAIinsovereign,hybridinfrastructure:Establishin-countryAIlandingzones,

hybriddeploymentpatterns,andcross-domainarchitectureswithbuilt-inresidencyandauditcontrols.Partnerwithgovernmentstodefinesharedprioritiesfornationaldigital

infrastructure.Treatsovereigntyasacommercialcapability,notacomplianceburden.

Demandopenstandardsandinteroperability:UseopenAPIsandcross-operatorframeworkstolimitsingle-vendordependency.ApplyFinOpsdisciplinetotiecloudspendtomeasurableoutcomes.

Reskillforcloud-AIconvergence:Buildcapabilitiesthatcombinenetworkengineering,AIoperations,andplatformdevelopment.Architecturalflexibilitydependsonteamsthatcandesignandoperateacrossallthree.

Strategicflexibilitycomesfrom

architecturesthatletCSPsadapt

withoutre-engineeringthebusinesseachtime.

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Whattoknow

Operationalefficiency

AIproductivityisreal—thechallengeisexecution

AIisalreadyimprovingproductivityacrosstelecomoperations,fromcustomercareandnetworkassurancetoenergymanagement.83%oftelecomexecutivesplantoreinvestthosegainstofundgrowth.1Efficiencyisgrowthcapital,notcosttakeout.

Resultsremainuneven.ManyCSPsstruggletomovebeyondpilots.Run-rateoperationsabsorbthegainsinsteadofconvertingthemintomarginimprovement.IndustrializingAIacrossworkflowswithconsistentgovernanceandaccountabilityistheconstraint—not

ambitionortooling.

Operationalefficiencydependsonclosingtheexecutiongap,connectingdata,

automation,andAIintoclosed-loopoperations—systemsthatdetect,decide,act,andverifyatscale.

42%

averageimprovementinproductivityexpectedfromAIby20302

Only

25%

oftelecomCEOs’AIinitiativeshave

deliveredexpectedROIoverthepastthreeyears3

Only

6%

ofCSPsreporthavingahighlyautonomousnetworkasoflatelastyear4

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Whattodo

Operationalefficiency

83%

oftelecomexecutivessaytheywilluseAIvaluetofundinvestmentandgrowthacrosstheorganization1

55%

oftelecomCEOssayproductivitygainsfromautomationaresogreattheymustacceptsignificantrisktostay

competitive2

IndustrializeAItoconvertproductivityintoscalableadvantage

ModernizecustomercarewithAIfirst:DeployappliedandagenticAIacrosscustomerservice,sales,andservicemanagement—thehighest-ROIdomains.

Advanceclosed-loopoperations:MovefromtaskautomationtoAI-driven,detect-decide-act-verifyloopsacrossnetworkandIToperations.

Treatdataasaproduct:Shiftfromsiloedpipelinestogoverned,reusabledataproductswithclearownership,qualitycontrols,andSLAs.Deliverthemthroughashared

enterpriseAIplatformthatenablesconsistency,reuse,andgovernedscale.

RunAIlikeabusinesscapability:EstablishoneoperatingmodelforAI–acentral

functionthatgovernsstandardsandrisks.Buildinclearownership,governanceby

design,human-in-the-loopcontrols,andP&L-linkedbenefittracking.Scaledependsonorganizationalreadiness,nottechnologyselection.

Reinvestproductivitygainsdeliberately:Useefficiencygainstofundgrowth,includingfasterlaunches,differentiatedSLAs,andnewdigitalservices.InvestinAItalentthroughreskillingandecosystempartnerships.

Operationalefficiencyisnolongeraboutdoingworkfaster.It’saboutindustrializingAItofundgrowth

andresilience.

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WhattoknowRegulatory

compliance

Complianceconstrainsgrowth—andcreatesrevenue

Regulatorycomplianceconstrainstelecomgrowth.CSPsfaceexpandingrequirementsacrossdataprivacy,consumerprotection,financialreporting,andsector-specific

mandates,oftenwithinconsistentstandardsacrossregions.

Operationalimpactismaterial.Securitycomplexityaloneconsumesmorethan6%ofannualCSPrevenue—aburdendrivenbyfragmentedtools,manualcontrols,and

duplicativegovernance.1

EnterpriseandSMEcustomersexpectcontinuousassurance,auditability,andbuilt-incomplianceaspartofmanagedservices.Compliancenowshapestrust,differentiation,andrevenuecapture.

Compliancenowfunctionsasastrategiccapability,notaback-officeobligation.Itshapescoststructure,customerconfidence,andgrowthpotential.

64%

oftelecomCEOssayinconsistent

standardsandregulationsinhibittheirabilitytogrowthebusiness2

55%

ofCSPsexperiencedasecuritybreachinthepastyear3

Whattodo

Regulatorycompliance

108%

averageROIforCSPsadopting

platform-basedsecurity,comparedto43%fornon-adopters1

35%

ofSMEswouldpayextraforsector-specificcompliancebundles2

30%

revenueupliftpotentialfromSMEs

payingforAI-assistedmanaged

securitybundleswith24x7monitoring3

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Turncompliancecapabilitiesintotrust-basedrevenue

Platformizesecurityandcompliance:Consolidatefragmentedtoolsintoplatform-basedsecurityandcompliancearchitectures.Integratedmonitoringandfewercontrolpoints

reducecomplexityandspeedresponse.

Operationalizecontinuousassurance:Movefromperiodiccertificationtoalways-on

compliance.Embedautomatedmonitoring,real-timeaudittrails,andpolicyenforcementacrosssecurity,privacy,andsector-specificrequirements.

Bundlecomplianceintomanagedservices:Packagesecurityandcompliancewith

connectivity,cloud,andAIasoutcome-basedservices.SMEswithoutin-houseexpertisepaypremiumsforturnkeybundles.Largeenterprisesinregulatedindustriescontract

managedassurance.

Positionsovereigntyasacommercialcapability:Usein-countryAI,dataresidency,andlawful-accesscontrolstounlockregulated-sectordemand.Sovereigntybuildstrust

throughauthorityacrossthestack,notownershipofeverylayer.Buildaccountabilitycontrolsthatspanmulti-vendorarchitectures.

Preparenowforpost-quantumrisk:Beginpost-quantumcryptographyreadinessandcrypto-agilityplanning.Anticipatefuturemandates,notjustcurrentones.

CSPsthattreatcomplianceasamanagedservicereducecost,

strengthentrust,andunlocknewrevenuestreams.

Telecommunications

Transformationaltechnologies

–Hybridcloudbydesign

–Securebydesign

–Data

–Automation

–TraditionalandgenerativeAI

–AgenticAI

–Quantumcomputing

18IBMInstituteforBusinessValue©2026IBMCorporation

Technologies

Hybridcloudbydesign

57%

oftelecomexecutivesseecloudandAIasdecisivefortransitioningto

autonomousnetworks1

27%

ofnetworkfunctionsarenowhostedinpublicclouds.Remainingworkloadsrunacrosson-premises,privatecloud,andedgeinahybrid,multi-cloudpattern2

63%

ofnetworkexecutivescite

interoperabilityacrosscloudprovidersasamajorhurdle3

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BuildthefoundationforAI-first,sovereign,andresilienttelecomoperations

Whattoknow

–HybridcloudistheoperatingmodelforAI-firsttelecom.CSPsrunnetwork,IT,OT,andAIworkloadsacrosson-premises,

privatecloud,publiccloud,andedge—becauselatency,resilience,sovereignty,andcostrequireit.

–Cloudadoptionalonedoesnotdeliverflexibility.WithoutAI

integration,cloudinfrastructureisadeploymentchoice,notatransformationlever.

–Telecomworkloadsplaceuniquedemandsonlatency,reliability,sovereignty,andcostcontrol,making

one-size-fits-allcloudstrategiesimpractical.

–StrategicvaluecomesfromhowwellCSPsorchestrateacrossenvironments,notwhereworkloadsreside.

Whattodo

Bytakingadeliberate,AI-firstapproachtohybridcloud,CSPscanimproveflexibility,resilience,andtime-to-market.

–Designhybridcloudarchitecturesaroundworkloadrequirements,notvendordefaults.

–EmbedAIdirectlyintonetwork,OSS/BSS,OT,andenterpriseplatformstomovebeyondbasicautomation.

–BuildinteroperabilityintocloudfoundationsusingopenAPIsandcommonorchestrationlayers.

–ApplyFinOpsdisciplinetotiecloudspendtomeasurableoperationalandbusinessoutcomes.

–Aligncloud,security,andsovereigntystrategiessocomplianceisdesignedin,notretrofitted.

Technologies

Securebydesign

45%

fewerbreachesforAI-leadingCSPs(technologyfront-runners)1

$7.6million

averageestimatedcosttothebusinessfromnetworksecuritybreachesin20242

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Embedsecurityandcomplianceintoplatformstobuildtrustatscale

Whattoknow

–Securitycomplexitynowerodestelecommarginsand

weakensclienttrust.Fragmentedarchitecturesacross

network,cloud,andenterpriseoperationsincreaseexposureandslowresponse.

–AsAIexpandstheattacksurface,traditionalperimeter-basedsecuritymodelsstruggletokeeppacewiththespeedand

sophisticationofthreats.

–Platform-basedsecurityintegratesprevention,detection,andresponseacrossenvironments,reducingcomplexitywhile

improvingvisibilityandcontrol.

–Securityistiedtotrust,compliancereadiness,andservicedifferentiation,notjustriskmitigation.

Whattodo

Byadoptingaplatform-firstapproachtosecurity,CSPscanreducecomplexity,improveresilience,anddeliver