2026年中端市场制造业未来展望报告（英文版）-West Monroe

⃞:westmonroe

RESEARCH

THEFUTUREOFMID-MARKETMANUFACTURING

2026Outlook

WHATSINSIDE

ExecutiveSummary 3

THETRENDS

Supplychainsmovefromdefensiveto

permanentlyflexible 4

TurningAIfromproof-of-concept

intoproof-of-value 7

Dealsthatbuild,notjustbuy:UsingM&A

tomodernizethemid-market 10

Cyberresilienceisthenewuptime 13

Thenextshift:Reinventingwork

forayounger,AI-enabledworkforce 14

YourWatchList&Contributors 17

AboutWestMonroe 18

TheYearofConnectedTransformation

Manufacturingenters2026withurgency—andanewkindofclarity.Theforces

reshapingtheindustryaren’ttheoretical

anymore:Workforceturnover,supplychainvolatility,AIacceleration,andreneweddealactivityarerewritinghowvalueiscreated

andsustained.

We’veseenthisshiftupclose.

ThecompaniesthatleadwillbethosewhostoptreatingAI,workforce,andoperationsasseparateprioritiesandstartconnectingandactivatingthemasonestrategy.Thisisaboutredefininghowworkgetsdone,howdealscreatevalue,andhowresilienceis

builtintoeverylayerofthebusiness.Thenextgenerationofmanufacturersaren’twaitingforclarity.They’rebuildingit.

RandalKenworthy,

SeniorPartner

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EXECUTIVESUMMARY

Throughclosecollaborationwithmid-marketmanufacturersandindustryexperts,we’veidentifiedfourdefiningforcesreshapingthesectorin2026.

Supplychainsmovefromdefensivetopermanentlyflexible

2025wasayearofconstantreactionto

tariffsandpolicychanges.In2026,that

reactivityisgivingwaytoacceptance—andaction—asmanufacturersdesignsupply

networksbuiltforpermanentflexibility,

proactivescenarioplanning,andresilienceatscale.

TurningAIfromproof-of-conceptintoproof-of-value

AIhasmovedfrompromisetoproduction.Successnowdependsonsolvingreal

businessproblems,notchasingtools.

Manufacturersarecleaningandconnectingtheirdata,aligningAItomeasurable

outcomes,andembeddingitinworkflowstomovefrompilotstoperformance.

Dealsthatbuild,notjustbuy:UsingM&Atomodernizethemid-market

M&Aisreboundingasmid-market

manufacturersuseacquisitionsto

acceleratedigitaltransformationandhedgeagainstrisk.TheleadersarepairingsharperduediligencewithAI-driveninsights,

targetingdealsthatexpandcapabilityandresilience—notjustfootprint.

Thenextshift:Reinventingworkforayounger,AI-enabledworkforce

Laborshortages,retirements,and

immigrationpressuresareconverging

justasAIandautomationreshapehowworkgetsdone.Themanufacturers

pullingaheadarecapturinginstitutionalknowledge,redesigningrolesforhuman-machinecollaboration,andbuilding

inclusiveupskillingprogramsthatturnchangeintocapability.

TREND01

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SUPPLYCHAINSMOVE

FROMDEFENSIVETO

PERMANENTLYFLEXIBLE

Whattoexpect

Globaldisruptions—fromtariffsandshiftingtrade

policytoclimateeventsandregionalconflict—keptsupplychainleadersonconstantalertin2025.WestMonroetracked250manufacturing,distribution,

andretailexecutivesthroughourQuarterlySupplyChainPollandfoundthatmostwerereactinginrealtimetoeverypolicychangeandtariffadjustment

whilesimultaneouslytestingnewAI-driventools.Itwasn’tstrategy—itwassurvival.

Now,headinginto2026,ashiftistakinghold.

Supplychainleadersaren’texpectingstability—

they’reacceptingpermanentflexibilityasthenewbaseline.Thenexterawon’tbequiet,butitwillbemoredeliberate:networksdesignedtoflexacrossgeographies,supportedbycontinuousAIinsights,strongdatagovernance,andthemindsetthat

adaptabilityisresilience.

TopSupplyChainPriorities

Improvinginventorymanagement

Enhancingcustomerfulfillmentspeed

Costcontainmentamideconomicuncertainty

9%

14%

Addressingtalent shortagesandworkforcegaps

Diversifyingsupplierbase/increasing/

25%

20%

22%

17%

13%

8%

Strengtheningcybersecurityand

9%

4%

10%

15%

20%

6%

resilience

supply

chain

10%

15%

27%

Source:

WestMonroeQuarterlySupplyChain

Poll(Q3)

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TREND01:SUPPLYCHAINSMOVEFROMDEFENSIVETOPERMANENTLYFLEXIBLE

YOURTO-DOLIST

Buildthedataandplanningbackboneforproactivedecision-making

2025provedthatagilitywithoutalignmentis

chaos.OurSupplyChainPollrevealedthat46%of

companiesrespondedtotradeorpolicychanges

withinonebusinessweek—aspeedthatoften

outpaceddataaccuracy.In2026,manufacturersareshiftingfromreactingfasttoreactingfastandright.

Thisstartswithunifyingdataacrossplantsand

suppliers,enforcingmasterdatagovernance,and

clarifyingsourcesoftruth.Then,useAIscenario

modelingtosimulatetariff,demand,andclimate

disruptionsacrossgeographies.Beginwithsourcingworkflowsandexpandoutward—forecastingcost

implications,stress-testingplans,andidentifyingbottlenecksbeforetheyhappen.

Don’tconfuseautomationfortransformation

TherushtodeployAIleftmanymanufacturers

automatingbadprocesses.Thefoundationstill

matters:cleandata,alignedsupplyanddemand,anddisciplinedS&OPcycles.In2026,leaders

aregroundingAIinvestmentincost-to-serveandcustomerprofitabilitymodels—quantifyingwhereautomationdrivesrealROI.Don’tskipthebasics.

Transformationonlystickswhenautomationisbuiltonoperationaltruth,notspeedalone.

Strengthensuppliercollaborationandvisibility

Thefuturesupplychainisbuiltonshared

forecasts,opendatachannels,andco-investmentinresilience.Thatmeansmanufacturersneedto

beginengagingasmallgroupofcriticalsuppliers

toco-developdata-sharingpracticeslikeshared

forecastsorcapacitysnapshotsthatcaneventuallyscaleacrossthenetwork.

46%

ofcompaniesrespondto

trade/policychangeswithin

onebusinessweek.

Source:

WestMonroeQuarterlySupply

ChainPoll(Q2)

Additionally,focusonhigh-riskorhigh-value

componentsandengagesupplierstohelpmap

theirsupplybases.Upstreamblindspotscanderailentireproductlines.Buildalivingmodelthatevolveswithyoursupplynetwork.Youdon’tneedaperfectsystem—justaflexible,transparentone.

Balancelong-termvisionwithshort-termROI

Permanentflexibilityrequiresinvestment—butalsodiscipline.Leadingmanufacturersin2026areidentifyingquickwinsthat

fundtransformation:laborefficiency,scrap

reduction,productionattainment,andinventoryoptimization.Everygaincompounds.

Tienear-termcashimprovementstoyourlong-

termdigitalroadmap.Themostsuccessful

organizationsareturningoperationalwinsinto

strategicreinvestment—closingtheloopbetweentoday’simprovementsandtomorrow’sresilience.

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TREND01:SUPPLYCHAINSMOVEFROMDEFENSIVETOPERMANENTLYFLEXIBLE

LET’SGETTHERE

TOGETHER

“

BrianPacula,

Partner,SupplyChain

MostcompaniesonlyseetheirTier1suppliers.Everythingbeyondthatisablackbox,andthat’swhererealriskhides.

“

JeremyTancredi,

Partner,SupplyChain

Theshiftawayfromjust-in-timeisn’ttheoretical

anymore.Manufacturersarelivingtheimpact,

whetherit’sRedSeadisruption,inflation,orraw

materialdelays.It’saboutbuildingsmarter,faster,moreflexiblesystems,notjustchasinglowestcost.

EXPLOREMORE

Q2Poll:WhyMostCompaniesAren’tRethinkingTheirSupplyChains—Yet

LEARNMORE

LayingtheGroundworkforAIinSupplyChainManagement

LEARNMORE

Whymanufacturersareprioritizingsustainablesupplychains

LEARNMORE

TREND02

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TURNINGAIFROM

PROOF-OF-CONCEPT

INTOPROOF-OF-VALUE

WhattoExpect

AIhasofficiallygonefromconcepttocapabilityinmid-marketmanufacturing—butthematuritygapiswidening.While91%ofmiddle-marketfirms

arenowusinggenerativeAIinsomefashion,moststillstruggletomovefromisolatedusecases

tomeasurableenterprisevalue.Acrossfactory

floorsandfrontoffices,manufacturershavebeenexperimentingwithpredictivemaintenance,

productionscheduling,andgenerativedesign,

butnotenougharefiguringouthowtoturnitintorepeatableandscalableperformancegains.

Headinginto2026,leadersarefocusedonscalingAIresponsibly—buildingthedatafoundations,

workforceskills,andgovernancetoturn

experimentationintoadvantage.Theonesthat

treatAIasastrategicleverforresilienceand

growth,notjustefficiencyandcost-trimming,willdefinethenexteraofindustrialcompetitiveness.

TopproductivitygainsfromAIinyoursupplychain

Improvedworkforce

efficiency(e.g.,

fewermanualtasks)

Fastercycletimes(e.g,sourcing,shipping)

Costsavings

Higherservicelevels

Wearen’tseeingproductivitygainsyet

64%

56%

49%

40%

1%

Source:

WestMonroeQuarterlySupplyChain

Poll,Q32025

TREND02:TURNINGAIFROMPROOF-OF-CONCEPTINTOPROOF-OF-VALUE

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YOURTO-DOLIST

TreatAIasacorecapability

Thechallengeisn’twhetherAIworks,buthow

tomakeitworkinyourenvironmentwiththe

resourcesyouhave.Thefirmsmakingthemost

progressdon’t“adoptAI”—theyrewirehowwork

getsdonesopeopleandmachinesmakedecisionstogether.Predictiveschedulingtoolsarefeeding

intoERPsystems.Qualityinspectionalgorithmsareflaggingdefectsbeforeproductsleavetheline.

ManufacturersaretyingAItobusinessobjectives,

buildingstrongerdataecosystems,andtrainingtheirworkforcetotreatAIasapartner—notaproject.Formid-marketteams,timeandcapitalarelimited.A

smarterupfrontstrategyminimizeswaste,focuseseffort,andlaysthegroundworkforscale.

Avoidtool-firstdecisions—instead,redesignprocessesforanAI+humanapproach

Everyonesaystheystartwiththebusinessproblem.ButweoftenseeteamsgetseducedbyAItoolsthatpromisetosolveeverything.Beforelong,they’re

spendingmonthsdebatingplatformsinsteadoffixingthroughput,quality,orothercoremetrics.

In2026,manufacturersareanchoringevery

AIinvestmenttoaclearpurpose—andstaying

disciplinedwithit.Pickoneprocess,redesignit

withAIandhumansworkingtogether,measuretheresults,thenscaleandrepeat.Atool-firstapproachisalmostalwaysarecipeforlacklusterROI.

FixyourdataasyouadoptAI

Clean,structured,andcontextualizeddataisthe

foundationforreliableAIperformance.Butformanymanufacturers,thatfoundationisstillshaky.Ifyoursystemsaredisjointed,yourinputsmanual,oryourgovernancemissing,addressthosegapsasyour

organizationadoptsAI.Moreleadersaretreatingdataasanassetinsteadofabyproduct.

ThatmindsetshiftiswhatturnsAIintoa

performancedriverinsteadofanexperiment.

Buildingovernanceandfeedbackloopstobuildcriticaltrust

AIdoesn’tfailquietly—itfailsintheopen.That’s

whyscalingAIrequiresstronggovernance.Establishroles,feedbackchannels,andaccountability

structuresthatextendbeyondtheITteam.Themanufacturerswhopullaheadin2026willnotbemeasuringcostsavingsalone.Trackuptime,throughput,employeeengagement,anduser

adoptiontogetafullviewofimpact.

Themanufacturerspullingaheadarecreating

realfeedbackloops.Operatorscanflagwhen

recommendationsdon’tmatchreality.Maintenanceteamscanseewhyamodelmadeacall.That’showyoubuildanAI-forwardculturethatscales—whenemployeesseeAIgettingbetterbecausethey

helpedmakeitsmarter.

Createaplaybooktoscalewhatworks

AIsuccessstoriesstilldieinthepilotstagebecausenoonedocumentshowithappened.OneWest

Monroeclient,amid-marketpet-foodmanufacturer,connected31machinesacrossfourdepartmentsto

collectreal-timeperformancedata.Within16weeks,theteamidentifiedprocessbottlenecksandunlockedroughly$13millioninincrementalcapacity.Becausetheapproachwasdocumentedandstandardized,theclientscaledthesamemethodologyacrossadditionallineswithoutstartingover.

Treateverypilotasaprototypeforscale.Atrue

playbookcapturesnotonlywhatworkedbuthowitworked—thedataarchitecture,governance,andchangemanagementbehindit.That’showmid-marketleadersmovefromAIproof-of-concepttoperformanceadvantage.

TREND02:TURNINGAIFROMPROOF-OF-CONCEPTINTOPROOF-OF-VALUE

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LET’SGETTHERE

TOGETHER

“

JeffPehler,

Partner,Consumer&IndustrialProducts

AIdoesn’tcreatevalueonitsown.The

valuecomesfromhowyoubuildaroundit—yourdata,yourpeople,andyourabilityto

repeatwhatworks.

“

SanketDave,

Partner,Technology&Experience

Therealchallengeisn’ttheAI.It’sthebusiness

processbehindit.Ifyoudon’trethinkhowtheworkgetsdone,AIwon’tdeliverwhatyouexpect.

EXPLOREMORE

RethinkingITOperatingModels:ACIO’sGuidetoScalinganAI-PoweredOrganization

LEARNMORE

WestMonroe’sQuarterlySupplyChainPoll–2025

LEARNMORE

LayingthegroundworkforAIinsupplychainmanagement

LEARNMORE

TREND03

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DEALSTHATBUILD,

NOTJUSTBUY:USING

M&ATOMODERNIZETHEMID-MARKET

WhattoExpect

Afteracautious2025,mid-marketmanufacturersarere-enteringtheM&Amarketwithsharper

intent.Overalldealvolumesfellyear-over-year,

butthevalueoftransactionsroseasinvestors

chasedhigh-qualityassets.Private-equityinterestinindustrialmanufacturingclimbedmorethan

20%,whilestrategicslargelypausedamidtariffuncertainty.Theresult:fewerbutbigger,morestrategicdeals.

Headinginto2026,M&Ahasbecomeacritical

leverformodernizationandriskdiversification

intheindustry.PitchBookdatarevealsthatmid-marketmanufacturersarebecomingincreasinglyselective,withdealcountdecliningfrom354inQ1to327inQ3.However,capitalinvestedin

manufacturing-relateddealssurgedto$51.75billioninQ3—thehighestquarterlytotalin

2025.Manufacturersareusingacquisitionsto

accelerateAIadoption,offsettalentshortages,

andbuildregionalbalanceagainstshiftingtradedynamics.Consolidationisalsoreshapingentirevaluechains—pairinglegacyoperatorswith

digital-nativecapabilitiestoboostefficiency

andresilience.Formid-marketleaders,deals

arenolongerjustgrowthplays,they’resurvivalstrategiesinanindustrywheretechnology,labor,andvolatilitynowmoveinsync.

ManufacturingM&A:PrivateEquityStepsInasStrategicsStepBack

400

$60.00B

354

350

335327$50.00B

300

$40.00B

$51.75B

250

$30.00B

200

$20.00B

150

88

$10.00B

100

$41.94B

2025Q4

50

$0.00M

0

2025

Q2

2025

Q3

2025Q1

CapitalInvestedDealCount

Source:PMCFQ22025M&AReport;ModernDistributionManagement,July2025

TREND03:DEALSTHATBUILD,NOTJUSTBUY

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YOURTO-DOLIST

Planforscalabletransformation,notjustshort-termwins

Formid-marketmanufacturers,everydealneedstopulldoubleduty:deliveringgrowthtodayandpositioningthebusinessforlong-termagilityin

avolatilelandscape.Ensurethetargetfitsintoabroaderoperationalanddigitalvision,notjustnear-termrevenuegains,regardlessofwhetheracquiringfortechorgeographicfootprint.

Itwillbeevenmoreimportantin2026totieeachacquisitionbacktoaclearvalue-creationthesis

groundedinefficiency,automation,andsupply

chainagility—notjustconsolidationorcost-cutting.Makesureinternalteamsunderstandhowthe

acquisitionconnectstobroadertransformationgoals.Withoutthisclarity,executionsuffers.

Buildtariffandtradevolatilityintoeverydealmodel

Preparingfortraderisksrequiresmorethan

awareness.Formodernmanufacturers,it

demandsmodelingthemlikecorefinancial

drivers.AIcansimulatetariffexposure,forecast

compliancecosts,andmaptheoperationalimpactofcross-borderdisruption.

Diligenceteamsshouldbeasking,“Whatwould

happenifatradepolicyflippedovernight?”Thesescenariosarenolongertheoretical.Building

suchvariablesintodealmodelsearlyhelpsavoidpost-closesurprisesandcreatesamoreresilientinvestmentthesis.

Pressure-testintegrationplanstoensuretheydrivevaluecreation

Manufacturersneedtogobeyondtraditionaldiligencechecklistsin2026.UseAIandadvancedanalyticstoidentifyoperationalinefficiencies,ITredundancies,

andculturalmismatchesbeforethedealcloses.

Formid-marketbuyers,integrationisoftenwheredealsfalter—notbecauseofstrategybutbecauseofexecution.Withoutsmartintegration,eventhemostpromisingdealsriskstallingorfailingto

delivertheirexpectedROI.

LeverageAIthroughoutthedeallifecycle

Leaningonautomatedprocessesiskeytohelpingsmallteamsprioritizetimeandfocusonthemostpromisingtargetsduringadeal.Manufacturing

leadersshoulddeployAItoolsearlyontoscanmarketdata,identifyemergingplayers,andflagunusualgrowthpatterns.

Duringdiligence,AIisaforcemultiplier.Itcan

speedupdocumentreviewandsurfacecontractriskstohighlightcompliancegapsburiedindatarooms.Transparent,data-backedstrategies

don’tjustleadtosmarterdeals;theyearnfasterinternalalignmentandsmootherexecution.

DEALSPOTLIGHT:AMERICANAXLE&

MANUFACTURING×DOWLAISGROUP|

VALUE:£1.2B

AmericanAxle’sacquisitionofDowlaisGroupsignalshowmanufacturersareusingM&Ato

modernizeandbuildresilienceinavolatile

market.Thetransactioncombinestwoindustrialsupplierswithcomplementarycapabilities

acrosstraditionalandelectricpowertrains—reflectingabroaderpushtowardscale,globaldiversification,andtechnologyflexibility.

Thetakeawayformid-marketmanufacturers:Dealsarebecomingtoolstofuture-proof

operations,strengthensupplychains,and

acceleratedigitaltransformation.In2026,M&Awon’tjustbeaboutbuyinggrowth—itwillbe

aboutbuyingadaptability.

TREND03:DEALSTHATBUILD,NOTJUSTBUY

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LET’SGETTHERE

TOGETHER

“

EmilieButler-Olimb,

Director,Mergers&Acquisitions

AIenablesustoanalyzecomplexdatafasterandmoreeffectively,allowingustoreachconclusionsandformperspectiveswithgreaterspeedandconfidencethaneverbefore.

EXPLOREMORE

NavigatingTariffUncertainty–WestMonroe

LEARNMORE

TheAIEdgeinPrivateEquity:WhyProprietaryDataMattersMost

LEARNMORE

Howadata-fueledapproachdrivessuccessfulmergers

LEARNMORE

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SPOTLIGHT

CYBER

RESILIENCEIS

THENEWUPTIME

Cybersecurityinmanufacturinghascomealongway—butsohavethethreats.

In2026,mid-marketmanufacturersneedtocontinueevolvingtheircybersecurity

measuresatthepaceofbadactors.Buildresilientarchitecturesfromthegroundup:embeddingsecurity-by-design,unifying

IT/OTresponse,anddeployingAI-driventhreatdetectionasstandard.Proactive

monitoring,real-timedetection,and

cross-vendorcollaborationarenolongeroptionalifdowntime—andsupply-chainrippleeffects—areonthetable.

fromQ42024toQ12025,with

Thetakeawayformid-market

manufacturers:Dealsarebecomingtoolstofuture-proofoperations,strengthen

supplychains,andacceleratedigital

transformation.In2026,M&Awon’tjustaboutbuyinggrowth—itwillbeabout

buyingadaptability.

Ransomwareattacksagainstindustrialoperatorsjumped

46%

operational-technologyenvironmentsincreasinglytargeted.

TREND04

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THENEXTSHIFT:

REINVENTINGWORK

FORAYOUNGER,AI-

ENABLEDWORKFORCE

WhattoExpect

2M+

U.S.manufacturingrolesare

projectedtogounfilledby2033

Source:

TheManufacturingInstitute

Attractingandretainingtalenthastopped

manufacturers’prioritylistsforyears—with2

million+U.S.manufacturingrolesprojectedtogo

unfilledby2033.Butin2025,thechallengegrew

morecomplex:Olderworkersexitedindroveswhileyoungertalententeredwithdigitalfluencybut

limitedoperationalexperience.Forward-looking

manufacturersaremappingknowledgebeforeit

disappears,investinginAR/VRandlow-codetools,andrethinkinghowworkgetsdone.

Headinginto2026,Immigrationpolicyisaddingpressure.InJuly2025,morethan530,000

immigrantworkerslostworkauthorization,

includingan

estimated90,000inmanufacturing

,reducingacriticallaborpool.Leadingmid-marketmanufacturerswillbuildworkflowsthatoperatewithfewerpeople,moreautomationandhuman-plus-machinemodelsasthenewnorm.

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TREND04:THENEXTSHIFT

YOURTO-DOLIST

Preparefortheretirementcliffbeforeithitsyourbottomline

BabyBoomerretirementsareaccelerating,takingdecadesofshopfloorexperiencewiththem.

IncomingtalentbringsmoreAIfluencybutlackstheoperationalintuition.

Manufacturersshouldrunaretirement-risk

assessment—identifyingroleswhereexpertiseis

agingout—andbuild“overlapprograms”thatpair

experiencedoperatorswithdigitalapprenticeships.Don’tjustbackfill:Continuallyredesignroles,teams,andprocessesastheworkforceagesout,ensuring

human-in-the-loopdecisionsupportandautomationcomplement—notreplace—coreexpertise.

Secureandscaleinstitutionalknowledge

2026shouldbetheyearmanufacturersfinallycodifytribalknowledge—theunrecorded,experience-

basedstepsthatkeepproductionrunning.

ThegoodnewsisAIcandrasticallyspeedupthisprocessbycapturingandstructuringfrontline

expertiseinrealtime—transcribingoperator

walkthroughs,taggingmaintenancelogs,and

organizingdecadesofscatteredknowledgeintosearchable,retrainabledatasets.Whatoncetookmonthsofdocumentationcannowbeautomatedinweeks,creatingalivingknowledgebasethat

powersAIcopilots,predictivemaintenance,andAR/VRtrainingprograms.

Redesignrolesandprocessesforhuman–machinecollaboration

MaphoweachprocesscouldrunwithagenticAIandautomation,thendecidewherehumanjudgmenttrulyaddsvalue.Future-readyrolesblendmechanicalskillwithdataanalysis—thinkmaintenancetechnician+AImonitor+problemsolver.

Startwithpilotcellswhereautomationadoptionishighest,testnewworkflows,andevolvejobdesigninparallelwithtechnologyrollouts—notafter.

Designupskillingprogramswithinclusivity,notjustspeed

BuildinganAI-readyworkforceisn’tjustabout

teachingpromptengineeringordashboards.It’s

moreabouttrust,relevance,andhands-onlearningthatfitsrealroles.

Blendtechnicalliteracywithrole-specific

application.EnsureworkersseeAIasatooltoenhance—notreplace—theirvalue.

Expandworkforcepipelinesandrethinkhowyouengagetalent

Traditionaltrade-schoolpipelineswon’tmeet

2026demand.Partnerearlier—withhighschools,communitycolleges,andevenworkforcere-entryprograms.Highlightmanufacturing’stechnology-drivenevolution—automationlabs,robotics

apprenticeships,digitaltwins—toattractyounger,tech-curioustalent.

Shiftrecruitingfrom“shiftwork”to“smartwork.”

Thatlanguagematterstoagenerationraisedonpurposeandproblem-solving.

UselearningasaleverforfasterAIvalue

Continuouslearningsystemsaren’tjustHR

infrastructure,they’rekeytoAIenablementin

2026.Thefasteryourteamslearn,thefastertheycanadoptandadaptAI.

Tielearningtomeasurableoutcomes–uptime,

quality,scrapreduction–anduseearlyknowledgecaptureeffortstoaccelerateskilldevelopment

acrossroles.

TREND04:THENEXTSHIFT

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LET’SGETTHERE

TOGETHER

“

GlennPfenninger,

Partner,Organization,People&Change

Thisisn’tjus