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ShapingtheFutureofAI

TalentinEurope:

StrategiesforGrowthandRetention

★★★★★★★Fundedby

★★★★★theEuropeanUnion

CreatedbySupportedby

E

B。rrbsDECE。EspystmsN△A

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ShapingtheFutureofAITalentinEurope:StrategiesforGrowthandRetention

CONTENTS

ShapingtheFutureofAITalentinEurope:

StrategiesforGrowthandRetention

1.TheEUAIecosystemfacesanincreasinglycompetitivelandscape

InagloballandscapewheretheUSandChinadominatetheAIrace,theEUmustprioritisedevelopingadynamic,innovativeAIecosystemthatremainsfirmlyrootedinitscorevalues.

2.AITalentecosysteminEurope

Competingtodevelop,attract,andretaintalentisaglobal

challengethatdemandsthecoordinatedeffortsoftheEU.To

remaincompetitive,theEUmustbuildanecosystemasdynamicandattractiveasthatoftheUS.

3.Strategiesforattractingandretainingtalent

Currently,manycountrieshavedevelopednationalstrategiestogenerateandattracttalent.However,thefutureoftheEUdependsonaunifiedstrategythataddressestheuniqueneedsofeach

memberstateanditsregions,ultimatelyfosteringacohesiveandcompetitiveEuropeanecosystem.

3

14

30

4.Keystrategicsectors

StrategicsectorsintheEUshouldactasenginesforeconomicgrowthbypromotinghomegrownAItalent.Initiativessuchas

theAINationalChampionsaredesignedtoleveltheplayingfieldandenableEuropetocompeteeffectivelywithitsAmericanandChinesecounterparts.

5.Keylearnings

6.ReferencesandMethodologicalannex

43

63

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1

TheEUAIecosystemfacesanincreasinglycompetitivelandscape

TheglobalAIraceisacceleratingat

anunprecedentedpaceastheUSandChinaraisethestakes

1TheEUAIecosystemfacesanincreasinglycompetitivelandscape

TheUSemergesasaclearleaderinVCinvestmentsintoAIstartups

EventhoughtheAIbubbleisinflatingquickly,don’tunderestimatehowimportantitistohaveactualtraction—meaningpaying,returningusers”

“ToomanyfoundersthinktheycanputAIintheirpitchdeckandraisearound,butinvestorsarestillrisk-averseafterthedownturnandwanttoseerealnumbers.”

TobiasBengtsdahl

CofounderofMemmo.meandForbesList

“30Under30-Europe-MediaandMarketing(2021)”

Sweden

VCfundinginAIstartupsintheEU

countriesovertimebycategory(2010-2024)

VCfundinginAIstartupsovertimebyregion(2010-2024)

120

4

30

2

0

201020112012201320142015201620172018201920202021202220232024

chinaEUUS

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ShapingtheFutureofAITalentinEurope:StrategiesforGrowthandRetention

Source:Dealroom

1TheEUAIecosystemfacesanincreasinglycompetitivelandscape

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TheEUisexperiencingasurgeinAIstartups,withover11,000companiesdrivinginnovationacrossindustries

EvolutionofCoreAIandAIApplicationsStartups

Inrecentyears,theAIecosystemintheEUcountrieshasexhibitedaconsistentgrowth

pattern,asbothCoreAIstartupsandstartupsbasedonAIapplicationshaveproliferatedsubstantially.

CoreAIcompaniesrepresentfirmsthatarebuiltonasophisticatedtechnological

paradigm,embeddingAIasafundamentalarchitecturalframeworkratherthana

peripheraltechnologicaltool.Theirproliferation,particularlyacceleratingaround2020,signifiesaprofoundshiftincomputationalstrategicdevelopment.Asof2024,therewerealreadyapprox.3000coreAIstartupsoperationinEUcountries.

TheAIapplicationsdomainhasbeengrowingevenmorequickly.By2024alreadynearly8,000operationalstartupshavebeenfoundedinEUcountries.ThesteepergrowthcurvesignifiesatransformativeexpansionofAI'spracticalimplementationacrossdiverse

technologicalandindustrialsectors.

Thisdemonstratesastrategicprogressionfromnascenttechnologicalexplorationtoarobust,dynamicAIlandscapethatpromisescontinuedinnovationandtechnological

advancement.However,therateofnewstartupsbeingestablishedhasbeendeclininginrecentyears,especiallyforCoreAIdomains.

CumulativenumberofoperationalAIstartupsintheEUbyyear(2010-2024)

2010

2011

2012

2013

2014

2015

2016

2017

2018

2019

2020

2021

2022

2023

2024

AlapplicationscoreAl

Source:Dealroom

1TheEUAIecosystemfacesanincreasinglycompetitivelandscape

ByprioritisingcoreAIinvestmentoverapplications,theEU

focusesonfoundationaltechnologicaldevelopmentratherthanimmediatesector-specificsolutions

MaintrendsinAIecosystemintheEU(2010-2024)

TheEUInvestmentinAI:prioritisingcoretechnologies

Numberof

Numberof

IntheEU,investmentinAIdemonstratesaclearpreferenceforthedevelopmentoffoundationaltechnologies.

Fundings

companies

5

4

3

2

DespitetheecosystemhostingtwiceasmanyAIapplicationstartupsasthosefocused

onCoreAI,thelatterhassecuredsignificantlyhigherfunding,totalling€46bn,comparedtothe€24bnallocatedtoAIapplicationstartups.

4000

2000

TheheightenedinvestorconfidenceincoreAIstartupsisalsoevidentinasignificantlyhigheraverageticketsizeof9millionEUR,comparedto4.5millionEURforAI

TotalFundingAverageTicket

(BillionEUR)size(MillionEUR)

applications.Thisfundingdistributionreflectsastrategicprioritisationoffoundationaltechnologicalinnovations.

40

30

20

10

0

.

\

Source:Dealroom

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CoreAIinnovationintheEUisconcentratedinmajor

techhubs,butstrongacademicinstitutionsarefosteringemergingAIclustersbeyondtraditionalcentres

AIcompanyconcentrationintheEU(2010-2024)

CoreAIintheEU:dominanthubsandemergingcentres

Anin-depthanalysisofCoreAIcompanieswithintheEUregionrevealsadistinctpatternofconcentration,withinnovationhubsclusteredinspecificmetropolitanareas.

Fivecities—Paris,Berlin,Amsterdam,Munich,andStockholm—accountfor30%ofCoreAIcompanies,demonstratingthegravitationalpullofestablishedtechecosystems.

WhileGermanyandFranceemergeastheleadingnationsinAIdevelopment,thelandscapeismorenuancedthanitinitiallyappears.

Beyondthesedominanthubs,anetworkofsmalleryetsignificantcentreshasemerged,particularlyincitieswithstrongacademicfoundations.UniversitieswithacclaimedITdepartmentsinEindhoven,Bremen,andTurinhavecatalysedthegrowthofspecialisedAIclusters,illustratinghowacademicexcellencecanseedcommercialinnovation

beyondtraditionaltechnologycapitals.

.5o101200.3

Source:Dealroom

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AIacceleratorsdeveloptalentandbridgeresearchwithreal-worldapplications

NumberofAcceleratorswithAIexperiencebyEcosystem(2024)

Acceleratorprogramscultivatecross-sectorAItalentinEurope'sinnovationlandscape

AcceleratorprogrammesstrategicallycultivateAItalentbysupportingdiverse

technologicaldomains—fromhealthcareandmanufacturingtoenergyanddigital

technologies.

Thismultidimensionalapproachensuresthatemergingprofessionalsarenotonly

technicallyproficientbutalsostrategicallyorientedtowardssolvingcomplexsocietalandindustrialchallenges.

TheEuropeanAIstartupsupportlandscapedemonstratesacomplexpatternof

technologicaltalentdevelopment,emphasisingdeeptechinnovationacrosscriticalsectors.AcceleratorswithAIexpertisearenotjustfoundintheleadingecosystems.

However,Germany,France,andSpainleadincreatingcomprehensivesupportinfrastructuresthatbridgefundamentalresearchwithpracticalapplications.

2o●3o。

Source:Dealroom

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1TheEUAIecosystemfacesanincreasinglycompetitivelandscape

TheAIecosystemintheEUisdrivenbyenterprise

software,keysectorslikehealthandfintech,andastrongdemandforexpertiseinMachineLearning,BigData,andadvancedtechnologieslikeNLPandDeepLearning

TheEUAIlandscapeiswidelyintegratedacrossindustries,withenterprisesoftwareastheleadingdomainforbothCoreAIandAIapplications.

Transport,energy,andhealthhaveahigherconcentrationofCoreAIstartups,

highlightingtheirroleincomputationalinnovationandtechnologicaltransformation.

DominantindustriesinAIecosystemintheEU(2024)

TheEUAIsectorprioritisesMachineLearning,BigData,andComputerVision,

highlightingstrongdemandforprofessionalsinthesefields.TheriseofNaturalLanguageProcessingandDeepLearningreflectsagrowingneedforspecialistsinlanguagemodelsandneuraltalentnetworks.

Employersseekprofessionalswithstrongmathematicalandstatisticalfoundationsalongsidepracticalprogrammingskills,withinterdisciplinaryexpertisebecoming

increasinglyvaluable.

DistributionofAISpecializationsintheEU.Numberofcompanies(2024)

enterprisesoftwarehealth

marketing

fintech

media

robotics

energy

education

transportation

security

food

jobsrecruitmentrealestte

legal

sports

semiconductorsfashion

travel

telecom

gaming

ShapingtheFutureofAITalentinEurope:StrategiesforGrowthandRetention

Source:OECDandInvestEurope-9-

1tclcesanincreasingly

ThelabourmarketwillfaceprofoundchangesandupskillingandreskillingwillbeessentialtomaintainEUcompetitiveness

1TheEUAIecosystemfacesanincreasinglycompetitivelandscape

AI-drivenindustriesleademploymentgrowth,wideningthegapwithlow-AIsectorsintheEU

TrendsinAIEmployment:jobgrowthandeconomicshifts

HighAIexposureindustriesexperiencedthemostsignificantjobgrowth,particularlyafter2016,surpassing130ontheindexby2022.Incontrast,lowAIexposuresectorsshowed

slowergrowth,withadeclinearound2020andweakerrecovery.

ThistrendsuggeststhatAIadoptionisfuellingjobcreationratherthandisplacementwhilesimultaneouslywideningeconomicdisparities.

InvestinginAIskills,supportinglaggingindustries,andfosteringinnovation-friendlypolicieswillbecrucialforensuringinclusiveandsustainableemploymentgrowth.

Employmentdynamics.EU,2012=100

LOWAIExposureMed-LOWAIExposure

Med-HighAIExposureHighAExposure

Source:BBVA,2025

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By2030,Europecouldrequireupto12millionoccupationaltransitions,twicethepre-pandemicpace

InEurope(1),thiscouldaffect6.5%oftheworkforceunderafasteradoptionscenario,whileaslowerpacewouldreducetransitionsto8.5million(4.6%oftheworkforce).

TheU.S.couldsee11.8milliontransitions(7.5%oftheworkforce)underamidpointscenario.

Europemayexperienceasharpaccelerationinoccupationalshifts,potentially

doublingpre-pandemictransitionrates,whiletheU.S.wouldseeareturntohistoricallevels.DespiteCOVID-19causingsignificantlabourmarketdisruptions,bothregionsdemonstratedadaptability,suggestingtheycanmanageAI-drivenchangeseffectively.

Occupationalshifts,2016–19and2019–22,andanticipatedoccupationaltransitions,2022–30,slower,faster/midpoint,yearlyaverage

HistoricalslowerscenarioFaster/midpointscenario

T。taloccupotionaltrnsitionsorshiftsduringtheperiodmiion

Europe2Us

"Byseizingthemoment,workingwithgreaterintentionandembracingdeepcollaboration,Europecanseizeagenerationalopportunitybyleadinginapplied

AI,integratingitintoourindustrialbasetoboost

productivity,resilienceandeconomicsovereignty.”

JeannettezuFürstenberg

ManagingDirectorandHeadofEuropeat

GeneralCatalystGermany

E

Source:McKinsey,2024

(1)Europeconsiders9majorEUeconomiesplusUK(CzechRepublic,Denmark,France,Germany,Italy,Netherlands,Poland,SpainandSweden.)

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TheEUAIecosystemfacesanincreasinglycompetitivelandscape

AIisdrivingaskillshiftwithadvancedtechandhumanskillssurgingwhilethetalentgapswiden

RisingdemandforadvancedIT,dataanalyticsandessentialsoftskills

Companieswillfacegrowingskillmismatches,particularlyinareasnotwidelyused

Mostwidelyusedskillstoday,3%ofsurveyresponded(Y-Axis)

today.DemandforadvancedITskills,dataanalytics,andscientificresearchisexpectedtosurge(+34%),whilebasicITskillswillgrowmoremodestly(+15%).

Criticalthinking,creativity,adaptability,andentrepreneurshipwillalsobecomeessentialduetotheneedforinnovationandflexibilityinanAI-drivenworkplace.

Skills*currentlyinhighdemand—suchasadvancedIT,engineering,anddataanalytics—willremaincompetitive,whilethoselessusedtodaybutprojectedtogrowinclude

complexinformationprocessing,productdesign,andsocial-emotionalskills.

Companieswithhigherfinancialperformanceanticipateagreaterincreaseinfutureskillneeds(+30%)comparedtolower-performingfirms,likelyduetotheirgreaterinvestmentinAIandautomation.

*WearenotreferringtoAIskillsyet.

Skills*oftodayvsskillsoftomorrowinEuropeandtheUS,%

40

prevclentandgrowing

prevclentyetstable

BasicIT

project

nagement

35

AdvancedIT

mLeadership

Basic

data

Technologyengineering

input

30

Equipmentoperation

creativity

optimizationnd

planning

Advanced

Equipmentrepair

data

25

analysis

Judgmentanddecisionmaking

communicationandnegotiation

——Adaptability

Basicliteracy

criticalthinking

20

scientific

craftandtechnician

Interpersonalandempathy

research

Entrepreneurship

compinformprocess

lex

tion

ing

Teaching

and

training

15

Advancedliteracy

productndUxdesign

Gross

motor

10

Basiccognitive

socialandemotional

shareofcompaniesreportingmissingtheseskillstoday,4%physicalandmanual

5

Highercognitive

Technological

Limitedbutgrowing

Limitedandstable

0

0510152025303540

Expectedfutureskillneed,5%ofsurveyresponded(X-Axis)

Source:McKinsey,2024

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CASESTUDY:

Preparingforthefuture–TheAISkillsAcademyBridgingtheAIskillsgapintheEU

ToexpandtheEU'spoolofAIspecialists,theAIContinentActionPlan

outlinesseveralinitiatives,includingthelaunchoftheAISkillsAcademy,a

one-stopshotforeducationandtrainingprogrammesonAIandinparticulargenerativeAIacrosssectors.TheAcademywillaimatupskillingandreskillingstudentsandprofessionalsonAIinsectorsalignedwiththeApplyAIStrategy,anddevelopapilotgenerativeAI-focuseddegree.Thiswillenabletop-level

expertsingenerativeAItoeducateandtraintheAISkillsAcademy’sstudents,whileadvancingtheirownresearchinthefield.TheAcademywillalsopilot

anAIapprenticeshipprogrammeanddevelop‘scholarship’and‘returnship’schemestoattractmorewomentothefieldofAI.

Inparticular,theAISkillsAcademywillbecenteredaroundthreepillars:

Supportingknowledge,educationandtraining:complementEU

intelligenceonskillsgaps;designcurriculaforhighereducation,VET,andon-the-jobtraining;pilotprogrammes,includingatleastoneBachelorsorMastersinGenerativeAI;providesupportforwomenthrough

scholarships/returnshipsandtrainingopportunities.

Buildingtheecosystem:buildadiversenetworkspanningbusiness,academia,VET,research,andpublicauthorities;attractandretain

Europeanandinternationaltalent(includingfellowships);facilitate

matchingbetweenAI-skilledworkersandopportunities;offerindustry/public-sectorplacementsandpilotafull-timeAIapprenticeship;

communicateopportunitiesthroughtheplatform.

Measuringprogress:monitortheimpactofactivities,trackprogressinclosingidentifiedskillsgaps,andincorporateparticipantfeedbackintocontinuousimprovement.

TheAISkillsAcademywillbeco-fundedwiththeDigitalEuropeProgramme.Acallforproposalsclosedon2October2025.Theprojectwillstart

operationsduring2026.

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AITalentecosysteminEurope

TheEUAItalent*poolhasshownnotable

signsofstrengthinrecentyears

*Please,seep.17forAItalentdefinition.

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AITalentecosysteminEurope

TheEUhasexperiencedthefastestgrowthinAItalentconcentrationbetween2017and2023

TheEUhasexperiencedthefastestgrowthinAItalentconcentrationbetween2017

and2023,surpassingboththeUSandtheUK.ThesharpincreaseindicatesthattheEUisbecomingamorecompetitivehubforAIprofessionals,likelydrivenbystrategicinvestmentsandregulatoryframeworkssupportingAIinnovation.

AItalentconcentrationintheEU,USandUK,2017and2023(%AItalentconcentration)

w20172023

Source:OECD.ai

LuxembourgleadsinAItalentconcentration,drivenbyitsfintechandcybersecurity

sectors,strongpolicies,andeducationprogrammes.Incontrast,ItalylagsduetolowAIinvestment,SMEdominance,braindrain,andslowerAIintegrationineducationandindustry.

AItalentconcentrationbycountry,EUcountries2017and2023(%

AItalentconcentration)

0,80%

0,70%

0,60%

0,50%

0,40%

0,30%

0,20%

0,10%

0,00%

IT

RO

LV

PT

HR

CZ

ES

PL

SI

LT

BE

CY

DK

HU

AT

FR

GR

EE

IE

SE

NL

DE

FI

LU

20232017

0,80%

0,70%

0,60%

0,50%

0,40%

0,30%

0,20%

0,10%

0,00%

2AITalentecosysteminEurope

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AlthoughAItalentconcentrationintheEU

increasedsignificantlybetween2016and2023,itremainsrelativelysmall

Keydefinitions2023growthinAItalentconcentration(comparedto2016)

AIskills:LinkedIn’sskillstaxonomyincludesapproximately40,000standardisedskills,withover100identifiedbyexpertsasAI-related,suchasmachinelearning,naturallanguageprocessing,anddeeplearning.

AItalent:ThiscategoryincludesindividualsemployedinAI-relatedroles,suchasmachinelearningengineers,orthosewhohavelistedatleasttwoAIskillsontheirLinkedInprofiles.

InsightsfromnewlyaddedskillsonLinkedInprofilesindicatethatin2023,AIprofessionalsfocusedondevelopingexpertiseingenerativeAI(GAI).WhiletheoverallpercentageofEUmembersupdatingtheirskillsremainedsteady,thenumberofindividualsaddingAI-relatedskillssurgedby71%yearoveryear.

AcrossboththeEUandglobally,thefastest-growingAIskillsincludedGAIandrelatedareassuchaslargelanguagemodels(LLMs),transformermodels,andgenerativeneuralnetworks.

TheEU’sAItalentpoolisexpandingbutremainslimited

TheshareofAItalentintheEUworkforce—measuredas"AItalentconcentration"—hasmorethandoubledsince2016,nowstanding124%higherthaneightyears

ago.However,growthhasbeenevenfasterintheUK,whereAItalenthasincreasedby150%since2016,andintheUS,whereithasgrownby136%.Nonetheless,AI

talenthasincreaseduntil0.41%oftheEUworkforce,comparedto0.36%intheUKand0.35%intheUS.

Source:LinkedIn“AIintheEU:2024TrendsandInsightsfromLinkedIn”

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StrategiesforGrowthandRetention

LondonholdsthemostengineerswithAIexperience,whileDublinisatalenthotspot

CitieswiththehighestpercentageofspecialisedAIengineersTopEuropeanHubswithAItalentconcentration(2022)

DublinhasthelargestconcentrationofAI

engineers

1.Dublin(17%)

Londonhasthelargest

populationofAIengineers

2.Zurich(14%)

3.Athens(13%)

4.Berlin(11%)

5.Paris(10%)

Citieswiththehighestper-capitadensityofAIengineers(1)

1.London(12.29%)

2.Paris(3.81%)

3.Zurich(2.9%)

4.Berlin(2.65%)

5.Madrid(2.23%)

(1)Figureexpressedhererepresentthat,inthecaseofDublin,17%oftheDublin’sengineershasAIexperience.Source:SequoiaAtlas,2023

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CASESTUDY:

Dublin–aproactiveapproachtoAI

Ireland’sAIstart-upecosystemisthriving–themost

recentEUupdateontheDigitalDecaderankedIrelandas5thintheEUforDigitalunicorns,animpressive

resultgivenoursize.”

DaraCallearyT.D.

MinisterofStateforTradePromotion,DigitalandCompanyRegulation

Ireland

Ireland’sproactiveapproachtoAI

Dublin'sAItalentsurgeisdrivenbyapowerfulcombinationoffactors.Tech

giantslikeMeta,Google,Microsoft,andnowOpenAI,attractedbyIreland's

favourabletaxregime,haveestablishedastrongpresence.Atthesametime,manycompanieswithoperationsinIrelandhavecentresofexcellenceinAI-relatedareaslikedataanalytics,cloudcomputingandbigdata*.ThisinfluxofcompanieshasdrawntopAItalenttothecity.

However,Dublin'ssuccessgoesbeyondjusttaxincentives.Irelandhas

cultivatedathrivingAIecosystemforovertwodecades,prioritisinguniversityresearchandtalentdevelopment.Thislong-terminvestmenthasyielded

impressiveresults,withIrelandnowhometoahighconcentrationofAI

expertise,includingnumerousEuropeanAssociationforArtificialIntelligence(EurAI)fellows.Thecountryfostersacollaborativeenvironment,connectinguniversities,companies,andresearchinstitutions.Thisecosystemattracts

majorplayersandnurturesavibrantAIcommunity.

Moreover,IrelandemphasisesresponsibleAIdevelopment.TheNationalAIStrategy,"AI-HereforGood,"explicitlyprioritisesAIthatbenefitssociety

andemphasisestheimportanceofpublictrust.AstheEUAIActcomesintoeffect,Irelandiswell-positionedtoleverageitsstrongethicalfoundationandbecomealeaderinresponsibleAIdevelopment.

NamesincludeAccenture,Siemens,Zalando,SAP,HubSpot,DeutscheBank,AmazonWebServices,Salesforce,FidelityInvestments,Ericsson,Intel,DellEMC,Microsoft,Mastercard,Stryker,BostonScientific,Qualcomm,AMD,AnalogDevices,GM,Valeo.

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AItalentisgrowingacrossmostoftheEUindustries,despitesomevariationsindistribution

ShiftingAItalenttrends%DistributionofAItalentacrossindustries,EU(2016–2023)

Thetechnologysectoremploys16%oftheEU’sAItalent,upfrom11%in2016,makingittheprimaryhubforAIprofessionals.OtherindustriesseeingsignificantAItalent

Gove

growthincludeprofessionalservices(11%,upfrom9%),financialservices(8%,upfrom5%),andconsumerservices(4%,upfrom3%).

Conversely,sectorssuchasoil,gas,mining,utilities,andmanufacturinghaveseenarelativedeclineinAItalentsharesince2016.

Thelargestdropoccurredinoil,gas,andmining,nowemploying7%ofAItalent,downfrom10%in2016.Thisdeclineislikelyduetolessaggressivehiringandupskilling

effortsintheseindustriescomparedtoothers.

2016(%)2023(%)

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Source:LinkedIn“AIintheEU:2024TrendsandInsightsfromLinkedIn”

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ThepatternofthefastestgrowingAIskillsin2023showssimilaritiesattheEUandgloballevels,althoughtheEUhighlightsamoreintensepresenceofitscorevalues

WhileAIprofessionalsintheEUhavedevelopedmanyofthesameskillsastheirglobalcounterparts,onekeydistinctionstandsout:astrongeremphasisonResponsibleAI.Thisareahasgainedsignificantfocuswithintheregion.

ResponsibleAIisbroadlydefinedasthepracticeofdesigning,evaluating,and

implementingAIsystemsinamannerthatprioritisessafety,trustworthiness,andethicalconsiderations.AmongAIprofessionalsintheEU,ResponsibleAIrankedastheeighthfastest-growingskill,whileglobally,itranked14th

FastestgrowingAIskills,2023

EU

Global

GenerativeAI

GenerativeAI

LargeLanguageModels(LLM)

LargeLanguageModels(LLM)

TransformerModels

VariationalAutoencoders(VAEs)

HyperparameterTuning

GenerativeNaturalNetworks

GenerativeNaturalNetworks

ProbabilisticGenerativeModels

GraphNetworks

TransformerModels

ImageGeneration

Text-to-ImageImageGeneration

ResponsibleAI

VideoGeneration

ModelTraining

GraphNetworks

ShareofAItalentwithatleast1greenskill(%)

HyperparameterOptimization

Image-to-ImageTranslationuE