2026年AI智能体趋势报告：制造业篇（英文）

AIagenttrends2026

Manufacturing

report

Aboutthis

Thisreportprovideskeyinsightsforbusiness

leaderstoshapetheirAIagentstrategyfor

2026andbeyond.Withineachtrend,youwill

findreal-lifeexamples,technicalresources,

andcustomerstoriestosharewithyour

teamsfordeeperlearning.

Thesetrendswereidentifiedusingablend

ofqualitativeandquantitativedata,including

internalGoogleCloudandGoogleDeepMind

interviewswithAIleaders,customercase

studies,andinsightsfrom

TheROIofAI

inManufacturing2025

report(based

onaglobalsurveyof517executivesin

manufacturingandautomotive),withanalysis

usingNotebookLMandGoogleAIStudio.

Askthereport

Wanttodigdeeperintothetrends?

NotebookLMisreadytohelp—simplyclickthe

iconforaninteractiveversionofthisreport.

Googlecloud2

AIagentsare

redefiningbusinessvaluein2026

Theceilingforhuman

achievementhasbeenlifted.

WhileheadlinesfocusonthedistantfutureofArtificialGeneralIntelligence(AGI),thedecisiveshiftformanufacturersishappeningrightnow.ThatshiftisagenticAI.ThisisAIthatmoves

beyondansweringquestionstounderstandingagoal,makingaplan,andtakingactionsacrossapplicationstoachieveitwithextensive

humanguidanceandoversight.

Duetothiscapability,AIisoneofthefirst

technologiesthatappliestoeverysingle

person,inbothourpersonalandprofessionallives.Itspowerliesinitsabilitytoaugment

humancapacitywithbetterrecall,fasterdataprocessing,andenhancedreasoningacrossthemanufacturingfloor,commercialteams,andcorneroffice.Achievingthis,however,

dependsonensuringwidespreadaccess,necessaryskillsdevelopment,andbroadparticipationforeveryone.

Inthisreport,weexplorefivekeyAIagenttrendsshapingmanufacturingin2026.Unlockingthe

valueofthesetrendsrequiresmorethansimplyadoptingnewtools.Italsodemandsthatleadersquestionoldassumptionsanddrivetheculturalchangenecessarytothriveinthisnew,

agenticAIera.

WhatareAIagents?

AgentsaresystemsthatcombinetheintelligenceofadvancedAImodelswithaccesstotoolssotheycantakeactionsonyourbehalf,underyourcontrol.

I/O,May2025

KeynotebySundarPichai,CEO,Google

Googlecloud3

5AItrendsshaping

manufacturingin2026

1Agentsforeveryemployee

Empoweringindividualstoachievepeakproductivity

2Agentsforeveryworkflow

Runningyourbusinesswithgroundedagenticsystems

3Agentsforyourcustomers

Delightingcustomerswithconcierge-likeexperiences

4Agentsforsecurity

Advancingsecurity

fromalertstoaction

5Agentsforscale

Upskillingtalentwillbethe

ultimatedriverofbusinessvalue

Googlecd4

Trend1

2345

Agentsfor

everyemployee

Empowering

individualstoachievepeakproductivity

Googlecloud5

5

1Agentsforeveryemployee234

Themostsignificant

businessshiftof2026isn’tjustaboutefficiency;it’safundamental,employee-centrictransformation.

Thisnewagenticmodelisdesignedtoexpandthepotentialofeveryindividual,turningthemintotheprimaryengineforinnovationandgrowth.

Thischangestemsfromabehavioralshiftinthehuman-computerinterface,movingfrominstruction-basedcomputing(e.g.,analyzingaspreadsheet,developingcode)tointent-basedcomputing.In2026,employeeswillbeincreasinglyabletostateadesiredoutcome,andthecomputer—usingLLMsandagents—determineshowtodeliverit.

inorganizationsthatusegenAIhaveAI

agentsinproduction,1deployingthemacrossawiderangeofusecases2

Ofthose:

54%useagentsforqualitycontrol

48%usethemforproductionplanning

47%usethemforsupplychainandlogistics

1GoogleCloud

,TheROIofAIinManufacturing,

2025(Manufacturingexecutives:n=517;Questions:(1)HowareAIagentsleveragedacrosstheenterprise?(2)HowmanyAIagentsdoesyourcompanycurrentlyhavedeployedinproduction

acrossyourorganization?)

Googlecd6

2GoogleCloud

,TheROIofAIinManufacturing,

2025(ManufacturingexecutiveswhoseorganizationisleveragingagenticAI:n=292;Question:WhatusecaseshasyourcompanydeployedAIagentsfor?)

Agentsforeveryemployee

66In2026,AIagentswilldemocratizeexpertiseonthefactoryfloor.Bysurfacingreal-

timeinsightsforeveryoperator,weare

movingfromsiloedknowledgetoshared

intelligence—creatingaforcemultiplierthatempowerseveryemployeetoleadwith

expert-levelprecision.”

Praveen

Industries,GoogleCloud

Strategic

Director,Manufacturing,Global

KOENIGSBAUER

AsAIagentstakeoverrepetitivetasks,ourfocusshifts

from‘doing’to‘orchestrating.’Wearebecomingthe

trainers,designers,andstrategicinterpretersofthese

newsystems.Thisredefinesproductivityandfreesup

ourmostvaluableasset—ourhumanintelligenceand

creativity—tofocusoninnovation,strategy,andempathy,creatingapowerfulnewformofcollectiveintelligence.”

SandraWagner

CEO,Koenig&Bauer

Googlecloud7

1Agentsforeveryemployee2345

Anewintegrated

workingmodel

WhatisgroundinginAI?

Itistheprocessofanchoringan

AImodel’sresponsestoaspecific,verifiablesetoffacts—its“groundtruth.”Foranenterprise,this

groundtruthisitsowninternaldata.

Learnmore

Inthisnewmodel,every

employee—theshopfloor

tothetopfloor—becomes

ahumansupervisorofagents.

Theirprimaryjobisnolongertoperformevery

mundanetaskpersonally,butrathertoorchestrateateamofspecializedAIagentstoachieveagoal.Thismodelisaboutmorethanjustdelegation;

it’saboutaugmentation.Therealpowercomes

fromgivingeveryemployeeagentsgroundedin

thecompany’sownenterprisecontext—itsinternalsystems,knowledgebases,customerdata,and

pastwork—toelevatetheimpactoftheirefforts.

Theemployee’scorefunctionbecomesprovidingstrategicdirection.Theirnewresponsibilitiesareto:

Delegatemundaneorrepetitivetasks

Identifywhichtasksarebestsuitedforanagentandassignthem.

Setgoals

Clearlydefinethedesiredoutcomefortheagent.

Outlinestrategy

Usetheirhumanjudgmenttoguidetheagentsandmakethefinal,

nuanceddecisionsthatAIcan’t.

Verifyquality

Actasthefinalcheckpoint

forquality,accuracy,andtone.

Googlecloud8

Googlecloud9

1Agentsforeveryemployee2345

Howitworks

The10xshop

flooroperator

Ashopflooroperatorsjobusedtobeburdenedbyconstantscrambleoftacklingmanualerrors,safetyhazards,andslowtraining.In2026,they

canorchestrateasystemofspecializedAIagentstoachievetheirgoals,ratherthanperforming

everytaskpersonally.

Withagentsdedicatedtospecifictasks,theshopflooroperatorcanmultiplytheiroutputbyfocusingonstandardenforcement,defectmitigation,andauditing.

GeminiEnterprisethinking…

令Datasourcesgatheredv

compilingdataandtrend's.…

processingrawdata

Executingcalculations…

Re-runcalculations…

Askanything,searchyourdata,emention,or/tools

+

Maydisplayinaccurateinformation,sodouble-checkresponses

AnexampleofaGeminiEnterprisehomepage(agentshownisbuiltbyauser)

Googlecloud10

1Agentsforeveryemployee2345

Theshopflooroperator’sspecializedagentsystem

Theirnewroleinvolvesorchestratingthreespecializedagents

thatbridgethegapbetweenhumanintuitionandmachineprecision:

Digitalworkinstructionagent

Transformsstaticstandardoperating

procedures(SOPs)intointeractive,visualguides.Bysyncingwithreal-timemachinedata,itdeliversstep-by-stepinstructionstailoredtospecificerrorcodesorcustomproductionruns,ensuringsafetyand

precisiononthefirstpass.

Real-timequalitycontrolagent

Servesasanautomatederror-proofing

(poka-yoke)system.Itsiftsthroughreal-timetelemetryandhistoricalinspectiondatato

identifyrootcausesofdefectsbeforetheyimpactaproductionrun.

Datacaptureandtraceabilityagent

Pullsinformationdirectlyfromsensors,logs,andcomponentimagestocreateareal-timeaudittrail.Itlinksequipmentusagehistory

totheenterpriseresourceplanning(ERP)

andmanufacturingexecutionsystem(MES),limitingtheneedformanualdataentry.

Datatip

Teamscanusedataagentsasanintelligencemultiplier.

Learnmore

Agentsforeveryemployee

Suzano,theworld’slargestpulpmanufacturerandaleaderinsustainablebioeconomics,workedwithGoogleCloudandSautertodevelopanAIagent

builtwithGeminiPrototranslatenaturallanguage

questionsintoSQLcodetoquerySAPMaterialsdataonBigQuery.Thishasresultedina95%reduction

inthetimerequiredforqueriesamongthe50,000employeesusingthedata.

SUZQno

Readyto10xyourteam?GeminiEnterpriseenables

employeestobuildandmanagetheirownspecializedAIagents.

Trynow

Googlecloud11

1

Trend2

345

Agentsfor

everyworkflow

Runningyour

businesswith

grounded

agentic

systems

Googlecloud12

1

2Agentsforeveryworkflow

345

Anagenticsystemisa

digitalassemblyline—a

human-guided,multi-step

workflowthatorchestratesmultipleagentstoassistwithcomplexbusinessworkflows.

Itcanoptimizephysicalprocessestoruncomplexoperationslikepredictiveprocurementoroverallequipmenteffectiveness(OEE)optimization.

Thetruevaluein2026beginswithaugmenting

thecapabilitiesofindividualsandteams,and

continuestogrowbymakingtheentirebusinessrunmoreintelligentlyandefficiently,24/7,atscale.

say

theirorganizationshavelaunchedmorethan10AIagents3

66In2026,agenticsystemswillredefineOEEoptimizationbyevolvingitfromastatic

metricintoanactivedriverofperformance.Byorchestratingspecializedagents

acrossavailability,throughput,andquality,manufacturerscreatea‘digitalnervous

system’thatdoesn’tjusttrackinefficiencies’butresoIvestheminreaI-time.”

PraveenRao

Director,Manufacturing,

GlobalStrategicIndustries,GoogleCloud

3GoogleCloud

,TheROIofAIinManufacturing,

2025(Manufacturingexecutives:n=517;Questiontext:

Googlecloud13

HowmanyAIagentsdoesyourcompanycurrentlyhavedeployedinproductionacrossyourorganization?)

12Agentsforeveryworkflow345

Digitalassemblyline:

Orchestratingagentic

systems

Adigitalassemblyline

ismadepossiblebythe

Agent2Agent(A2A)protocol.

Thisopenstandardenablesseamless

integrationandorchestrationbetween

AIagents,allowingthemtoworktogethereveniftheyarefromdifferentdevelopers,builtondifferentframeworks,orownedbydifferentorganizations.

WhileLLMsarethe“brains”oftheseagents,

theyhavetwomajorlimitations:theirknowledgeisfrozenatthetimeoftheirtraining,andthey

can’tinteractwiththeoutsideworldtoaccessreal-timedataorperformactions.

TheModelContextProtocol(MCP)solvesthis.Itcreatesastandardized,two-wayconnectionforAIapplications,allowingLLMstoeasily

connectwithvariousdatasourcesandtools,suchasmanageddatabases(e.g.,

CloudSQL,

Spanner)

anddataplatforms(e.g.,

BigQuery).

Googlecloud14

Agentsforeveryworkflow

Elanco,agloballeaderinanimalhealth,uses

GeminimodelswithinitsElanco.aiplatform

toautomaticallysort,extractkeyinsightsfrom,compare,andrestructureinformationfrom

over2,500unstructuredpolicyandproceduredocumentspermanufacturingsite.TheAIagentimprovesaccuracyandconsistency,reducing

theriskofoutdatedorconflictinginformationthatcouldcostupto$1.3millioninproductivityimpactatlargesites.

TM

Datatip

Discoverhowyourdatateams

cangroundAIinyourbusinessdata.

Getstarted

Googlecloud15

Googlecloud16

Agentsforeveryworkflow

Howitworks

Agenticmanufacturing

systemsinaction

Today’ssupplychainsystemsassumeahumanisdirectlyinitiatingtheorders.

Thisposesafundamentalchallengeforsecurity:Whathappenswhenanon-humanentity(the

agent)ismakingthefinaltransactiondecision,withpre-approvalfromahuman?

Anagentinitiatingapaymentwithhumanoversightcanutilizeaframeworksuchasthe

Agent

PaymentsProtocol

(AP2)—anopenprotocol—toprovidecryptographically-signedproofofuser

authorization.Thisenablesmanufacturersand

supplierstoauthenticatethattherequestreflectstheuser’strueintentandestablishesaclearaudittrailforaccountabilityintheeventofafraudulenttransactionorfulfillmentissues.

Manufacturing

Payment

ecosystem

ecosystem

AIagent

Googlecloud17

12Agentsforeveryworkflow34

Forexample,amaintenanceleaddiscoversacriticalsparepartisoutofstock—potentiallycausingweeks-longproductiondelaysifa

machinebreaksdownandasparepartisn’tavailable.Theycanthentelltheiragent:

“Monitorreal-timeriskalertsacrossoursuppliernetwork.

Procurethisspecificpart

whenitbecomesavailable

fromaTier1supplier.Iftheir

leadtimesexceed72hours,

automaticallysourcefrom

acertifiedalternativeand

rerouteviapriorityfreight,

providedthetotalcostis

within5%ofourcontractrate.”

Theagentthenmonitorspricesand

availabilityand,withhumanpre-approval,executesasecurepurchasethemomentthatsparepartisfound.

5

TryVertexAI

Getstarted

1

2

Trend3

45

Agentsfor

yourcustomers

Delighting

customerswith

concierge-like

experiences

1

2

3Agentsforyourcustomers

4

5

Forthelastdecade,customerserviceautomationmeant

pre-programmedchatbots

answeringsimplequestions

anddeflectingsupporttickets.

Theywereefficient,buttheylackedtheabilitytounderstandmorenuancedandcomplexquestions.Thiswasespeciallytrueforbusiness-to-business(B2B)buyerswhowereoftenresolvingcomplex

issuesspanningtheentiresupplychainandmultiplevendors.

WithadvancesinLLMsandA2A,2026willdelivermorehelpfulconcierge-styleagents.TheseAI

agentswillconnectenterprisesandcustomersbyrememberingpreferencesandpastconversationstooffertrulyone-to-oneexperiences.

organizationswithAIagentsinproductionreportadoptingagentsforcustomerserviceandexperience4

66Personalizationextendsbeyondconsumer

experiences.Onthemanufacturingfloor,

forexample,agenticsystemscouldoffer

personalizedadvicetomanagers.Ifthe

secondshiftunderperformsthefirst,the

systemcouldinspectmultiplemachinecriteriaandsuggestsolutionslikeofferingmoretrainingorrecommendingoptimalmachinesetpoints.”

Praveen

GlobalStrategicIndustries,GoogleCloud

Rao

Director,Manufacturing,

Googlecloud19

4GoogleCloud

,TheROIofAIinManufacturing,

2025(ManufacturingexecutiveswhoseorganizationisleveragingagenticAI:n=292;Questiontext:WhatusecaseshasyourcompanydeployedAIagentsfor?)

1

2

3Agentsforyourcustomers

4

5

Personalizationatscale

Yourcustomernolongerhastostarteveryconversationbyprovingwhotheyareorre-explainingtheirproblem.

Chatbot

Pleaseenteryour12-digitordernumber.”

ThedifferenceisntjusttheAI,itsthedata.Theagenticconciergecansucceedbecauseitisgroundedinanenterprisecontextyou

choosetoshareforaparticularcustomerfrompurchasehistoryintheCRMto

packagetrackinginthelogisticsdatabase.

Agenticconcierge

Hi,Elizaveta.Thisisyour

suppliersautomatedassistant.Iseeyouaskedaboutthesparepartyouboughtlastweek.

Oursystemshowsitwasjust

delivered.Wouldyouliketostartareturnoranexchange?”

Googlecloud20

Googlecloud21

4

3

5

1

2

Agentsforyourcustomers

Howitworks

Insightfuland

always-onhelp

TryGeminiEnterprise

forCustomerExperience

Getstarted

Customerserviceis

definedbyitshelpfulness.

Anagenticconciergedoesn’twaitfora

complaint.Itmonitorssystemsfortriggersandresolvesproblemsusingreal-timedatatoprovideinsightsandtakeactionswith

humanguidanceandoversight.

vertexAIsearch

shoppingagent

Digitalconciergewithcomplex

reasoningtoexecuteconsentedactions

CXInsights

AgentAssist

CXAgentstudio

1

2

3Agentsforyourcustomers

4

5

Buildingtrustthrough

proactivecustomerservice.

Imaginethisscenario:aproductmanageratamajorretailerwantstoaddanewVikingchairtoitscatalogandplacesahigh-volumeorderwiththeircontractmanufacturer.Insteadof

thetypicalscramblewhenadisruptionoccurs,themanufacturersconcierge-styleagent

Danfoss,aglobalmanufactureroperatinginover100countries,usesAIagentsfromGo

AutonomousonGoogleCloudtoautomateemail-based

orderprocessing.Thesolutionautomated80%oftransactionaldecisions,reducedaverage

customerresponsetimefrom42hourstonearreal-time,

andconsolidatedfivesystemsintoasingleinterface.

orchestratesthefollowing:

1CheckstheMESandconfirmsits

sub-contractorhasaproductiondelayforacriticalcomponent.

2Accessesthesupplychainsystemandidentifiesasupplierthatcanprovidethecomponents,meetingtheproductmanagersspecifications.

3Notifiestheretailerviaemail:Hi,the

deliveryofyourVikingchairorder

maybedelayedduetooursupplier

issue.Weidentifiedacertifiedsupplierthatcandeliverthecomponentsthat

meetyourspecifications.Wouldyouliketoapprovethisswaptomaintainyour

originaldeliverydate?

Theproblemisresolvedquickly.Theagentisdesignedtoexecutea

smarthandoff

withafullsummaryforcomplexoremotionallychargedissues;humanstaffcanstepin

ifthecasebecomesmuchmorecomplex.

Googlecloud22

123Trend45

Agents

forsecurity

security

Advancing

fromalerts

toaction

1234Agentsforsecurity5

Inamodernsecurityoperationscenter(SOC),humananalystsfaceaconstantstreamofdataandalerts,with82%

concernedorveryconcernedthattheymaybemissingrealthreats

orincidentsduetotheamountof

alertsanddatatheyarefacedwith.5

This“alertfatigue”istheattacker’sgreatestadvantage;theyonlyneedtoberightonce,whilethedefenderhastoberightevery

singletime.

Whilesecurityorchestrationautomationandremediation(SOAR)solutionsdeliversomeautomation,theymayofferonlyincrementalbenefits.Butwiththeirabilitytoreason,

act,observe,andadjustactionsacross

informationtechnology(IT)andoperationaltechnology(OT)networkswithhuman

guidanceandoversight,AIagentshavethepotentialtohelpsecurityteamsidentifyandrespondtothreatsmoreeffectively.

ofexecutivesatmanufacturing

50%

organizationswithAIagentsinproductionreportadoptingagentsforsecurity

operationsandcybersecurity6

5Forrester,

ThreatIntelligenceBenchmark:Stopreacting;startanticipating,

2025

6GoogleCloud

,TheROIofAIinManufacturing,

2025(Manufacturingexecutiveswhose

organizationisleveragingagenticAI:n=292;Questiontext:Whatusecaseshasyour

companydeployedAIagentsfor?)

Expanded

SecureAIFramework2.0

canhelpaddresstherapidlyemergingrisks

posedbyautonomousAIagents.

Digitaltwins

canplayanimportantrole,too.Combining

themwithagenticchaosengineeringcanhelpwithpreemptiveexploitability

andattackpathanalysis.

Additionally,earlyresultsfrom

DeepMind’sresearchon

CodeMender,

anewAI-poweredagentthatimprovescodesecurityautomatically,alreadydemonstrateditsabilitytofindnewzero-dayvulnerabilitiesinwell-testedsoftware.

In2026,AIagentswillincreasinglyhelpwithtaskslikevulnerabilitydiscoveryaswellasalerttriageandinvestigation.

Googlecloud25

1234Agentsforsecurity5

66Today’sCISOislaser-focusedonachieving

thegreatestdecreaseofriskperdollarspent.

Agentsareessentialtothis,astheydetect

andrespondfastertoenterpriserisks.More

importantly,theyelevateourSOCanalysts

fromtacticalresponderstostrategicdefenders.”

Jon

VicePresident&

GeneralManager,

Security,GoogleCloud

Ramsey

1234Agentsforsecurity5

Thesemi-autonomous

securityoperationscycle

AnagenticSOCorchestratesasystem

oftask-basedAIagents,eachwithaspecificrole,toachieveacommonsecurityoutcome.

Afterreceivingasecurityalert,theagenticSOC

cyclesthroughaprocess,engagingvariousagents:

Escalation

Humanmanaged

RecommendationHumanmanaged

AlertDetection

AIagents

Threatresearchandhunt

Malwareanalysis

Detection

engineering

SupportforModelContextProtocol(MCP)tobuildcustomagentic

Triageandinvestigation

Response

workflowsacrossyourentiresecuritystack,includingthird-partytools

Thisdynamicprocessofevaluating,acting,andre-evaluatingenablesthesystemto

adapttoachangingsecurityenvironmentinrealtime,whilefreeinguptimeforhumananalyststofocusonhigher-valuework.

MultipleSOCagentsneedcommonenterprisecontextandcansharethesamesecuritydatasources(e.g.,securitytelemetrydata),regularlycommunicate,andadapttheiractionsthroughtechnologieslikeA2AandMCP.Agentsshouldalsobetrainedoncontinuouslyevolvingreal-

worldinsightsfromsecurityexperts.

Googlecloud26

1234Agentsforsecurity5

66AIisalreadybeingusedtofindzero-

days,identifymaliciouscode,anduplifttheworkofdefenders.Asthreatactorsincorporatethetechnologyintotheir

operations,itwillbeourbesttooltomeetthisnewchallenge.

Sandra

Joyce

VicePresidentofThreatIntelligence,GoogleCloud

Googlecloud28

4

5

2

1

3Agentsforsecurity

Howitworks

Elevatingthe

securityanalyst

Withtheadditionofagenticsystemsacting

asforcemultipliers,humananalystrolesare

expectedtochangeforthebetter.AIagents

cantakeonthedraining,reactiveworkofalert-watching,shiftingthehumananalysttoamorestrategiclevel,engaginginactivitiessuchas:

Threathunting

t

Usingtheirintuitionandexperiencetoguidetheagents.Example:Agent,I

haveahunchaboutthisserver.Huntforanyunusualoutbounddatatransfers.

Supervisingagents

Fine-tuningtheagentsrulesof

TorqusesagenticAItoautomatetheentiresecurityoperations

lifecyclethroughSocrates,anAISOCanalystthatcoordinatesspecializedagents.RunningonGoogleCloudsinfrastructure,teamsachieve90%automationoftier-1analysttasksauto-

remediatedwithouthuman

involvement,95%decreaseinmanualtasksand10xfasterresponsetimes.

engagementandperformance-

reviewingtheirautomatedresponses.

Defending

Focusingonlong-termsecurityposture,architectingbetterdefensesand

anticipatingthenextwaveofattacks,

ratherthanjustchasingthecurrentones.

ExploreGoogle

SecurityOperations

Getstarted

Trend5

1234

Agents

forscale

Upskilling

talentwillbe

theultimate

business

value

driverof

12345Agentsforscale

Itistemptingtofocusonthetechnology—themodels,theplatforms,andprompts—butthismissesthemostcriticalelement:thepeople.

AsAIisevolving,theskillsgapiswideningandit’s

gettingharderforindividualsandorganizationstokeepup.Skillsthemselvesexpirefasterthanever:The“half-life”ofaprofessionalskillisnowfour

years—andintech,asshortastwoyears.7

Bothpractitionersanddecision-makersseetheimportanceofclosingthisgap.Skillsincreasetheabilitytogethired,getpromoted,andgrowcareers—plus,theyhaveapositiveimpactonproductivity,innovation,andrevenue.

66The2026manufacturinglandscapeisdefinedby

twopressures:thelossofveteranexpertiseand

theraceforAIliteracy.Solvingthisrequiresahybridapproach:intensivementorshipthatcaptures

irreplaceabletribalknowledgewhilesimultaneouslybuildingtheAIfluencyneededtoscaleit.Bydoingso,weempowertoday’sworkforcetoleverageAIasanextensionoftheirownexpertise.”

PraveenRao

Director,Manufacturing,

GlobalStrategicIndustries,GoogleCloud

Googlecloud30

7Forbes,

AIPutsTheSqueezeOnTheShrinkingHalf-lifeOfSkills,

2024

Agentsforscale

Whatexecutivesaresaying:8

82%

71%

Whatemployeesaresaying:9

61%

84%

29%

8Google/Ipsos,CloudLearningServicesMarketPulse,fieldedSept.-Nov.2024(US,UK,FR,DE,IN,BR,MX,JP,AU/NZ;Decision-makers

(n=902).Findingsreflecttheopinionofsurveyrespondentsonly)

9Google

,BeyondAIOptimism:Fivewaystomoveyourbusiness

fromsavingtimetosparkinginnovation,

2025

ofdecision-makersagreethat

technicallearningresourceshelptheirorganizationstayaheadinAI

oforganizationssurveyedrealizeanincreaseinrevenuesince

engagingwithlearningresources

ofemployeesatorganizationsthat

havealreadyimplementedAIuseAIdaily(theremaining39%usingatleastweekly)

wouldlikeagreater

organizationalfocusonAI

saythatAIisbroadlyadvocated

acrosstheirorganizations

31

Agentsforscale

Howitworks

The5pillars

ofAIlearning

Tothrive,organizationsmustmovebeyondsimplybuyingtechnologyandfocusonbuildinganAI-readyworkforce.Thisrequiresaholisticstrategybuiltonfivekeypillars.

01

Establishgoals

Figureoutwhatismostimportantand

whatyoucanactuallymeas