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eBook
|January2026Research
insights
byDefinitionsof
AI
TypesPREDICTIVEAIAnalyzes
largedatasetsto
uncoverlong-termbehavioralpatterns
for
forecasting.INTERPRETIVEAIAnalyzes
unstructureddata—suchas
language,
images,andeventstreams—to
uncoverpatternsandderive
insights.GENERATIVEAI
(GenAI)Creates
newcontentorcode
by
leveragingexistingcontentorcode
as
a
foundation,
using
Large
Language
Models(LLMs).AGENTICAIUses
machine
learninganddeep
learningtechniquestoexhibitagency—settinggoals,
makingdecisions,andtakingactionsthrough
theperception-reasoning-actionloop.Source:IDC
CIO
Playbook
2026Survey,
commissioned
by
Lenovo,n=3,120IntroductionArtificialintelligence(AI)isadvancingatarapidpace,reshapingindustriesand
redefininghowvalueiscreatedacrosstheglobaleconomy.IDCresearchshowsenterprisesaccelerating
theirtransitiontowardbecomingtrulyAI-
fueledorganizations.Fromprivatecompaniesseekingtoelevatecustomer
experiencestopublicsectorinstitutionsimprovingcitizenservices,theopportunitiestoapplyAIformeaningfuloutcomescontinue
to
expand.Building
on
last
year’s“AI-nomics”theme,which
emphasized
ROI
and
thebusiness
case
for
initial
AI
investments,this
year’s
focus
reflects
an
increasedsense
of
urgency
and
momentum:The
Race
for
Enterprise
AI.Evenwithstrongmomentum,manyorganizationsstillstruggletointegratenewAItechnologiesandoperatingmodelsinwaysthatmaximizebusinessimpactacrossdifferentfunctionalareas.CIOsfacecriticaldecisionsarounddatasovereignty,cybersecurity,andtheselectionof
appropriate
AIdeploymentmodels—whetherprivate,public,orhybridcloud—tobalanceperformance,control,andrisk.Earlyadoptersareextendingtheirleadbypursuingaholistic,enterprise-wideapproachtoAIstrategy,governance,anddeployment.This
CIO
Playbook
is
designed
to
support
IT
leaders
as
they
navigate
thispivotalmoment,particularlywiththeadventofagenticAI.Itprovidesinsightintoemergingadoptionpatterns,highlightslessonslearnedfrompeers,andofferspracticalguidanceforadvancing
yourorganization’sAImaturity.Inanenvironmentwherecompetitiveadvantageincreasinglydependsontheeffective
use
of
AI,the
race
is
on—and
CIOs
play
a
decisive
role
in
setting
thepaceandshapingtheoutcomeoftheirenterprise’sAI
journey.
Theneed
to
act
hasneverbeengreater;thosewhomoveswiftlyandstrategicallywillbeinaleadershippositiontodefinethenextera.Introduction
Key
Findings
CIOStrategicImperatives
GlobalInsights
InsightsbyIndustries
Research
Methodology
Why
LenovoeBook,CIO
Playbook
2026:The
Race
for
Enterprise
AI
2AI
is
now
the
core
driver
of
business
reinventionOrganizationsareshiftingfromviewingAIasanefficiencytooltotreatingitasthestrategicenginefortransformingbusinessmodels,operations,andcustomervalue.CIOsplayapivotalroleintranslatingthisambitionintoenterprise-widereality.AIadoptionisexpandingrapidly
acrossthe
businessFunctionswellbeyondITareembracingAItosolveproblems,automatework,andaccelerateinsight.Thisgrowingmomentumacrossteamsreinforcestheneedforunifiedplatforms,sharedstandards,andstrongpartnershipsbetweenITandbusinessleaders.ScalingAIdemandsbothmodernfoundationsandtrustedpracticesAsAIbecomesembeddedineveryworkflow,organizationsmuststrengtheninfrastructure,datareadiness,andgovernance.TheproliferationofagenticandgenerativeAImakesresponsibleAIframeworks,whichensuressecurity,transparency,andsustainedinnovation,pivotalandrenderstheiradoptionanecessity.3Key
FindingsThe
Race
for
Enterprise
AI
is
Reshaping
the
CIO
AgendaIntroduction
Key
Findings
CIOStrategicImperatives
GlobalInsights
InsightsbyIndustries
Research
Methodology
Why
LenovoeBook,CIO
Playbook
2026:The
Race
for
Enterprise
AI
Source:IDC
CIO
Playbook
2026Survey,
commissioned
by
Lenovo,n=3,120IntroductionKey
FindingsCIOStrategicImperativesGlobal
InsightsInsightsby
IndustriesResearchMethodologyWhy
LenovoCIO
Strategic
Imperatives
(1/2)HerearesomekeyinsightsfromIDC’sresearchinvolving3,120ITandbusinessdecisionmakers(ITBDMs)globally,alongwithconsiderationsforCIOsfor2026:1InsightsBusinessPrioritiesAIastheEngineforBusinessReinventionIn2026,“Enhance/innovate/reinvent
our
business
with
AI”rises
to
the#1globalbusinesspriority,
overtakingproductivity
andprofitgrowth.This
signals
a
fundamental
shift:organizations
now
see
AI
as
theprimarylever
fortransformation
andcompetitive
advantage.•CIOs
should
champion
AI
as
a
core
driver
of
business
model
innovation,
working
closely
withbusiness
leaders
to
identify
and
prioritize
high-impact
use
cases.•
In
partnership
with
their
business
counterparts,CIOs
should
explore
how
AI
can
beintegratedintocore
workflows
and
reimagineprocesses
tounlocknewrevenue
streams
andmarket
opportunities.•
Regularmeasurement
andcommunication
ofbusinessoutcomes
willhelpmaintainexecutivebuy-in,
while
fostering
acultureofexperimentation
will
accelerate
AIadoption
andvalue
realization.2AI
Adoption
/ImplementationProliferationofAIBeyondITtoDeliverEnterprise-Wide
ValueIn2025,
the
majority
of
organizations
have
moved
beyond
the
initialstagesof
AIimplementationintopiloting/wide-spread
adoption,
with
nearlyhalfof
AIprojects
fundedbydepartmentalbudgetsoutsideIT.Non-IT
functionslikefinance(+101%),marketing(+86%),
andsales(+85%)
are
set
for
the
faster
growth
in
AI
implementation.
93%
oforganizations
expectpositiveROIfrom
AI,
withanaveragereturnof
$2.79
for
every
dollar
invested.•
CIOs
should
enable
and
support
AI
adoption
across
all
business
units
by
providing
sharedplatforms,
tools,
and
best
practices.•
Focusing
deploymentsonareas
withproven
value
willmaximizeimpact.•
Facilitating
cross-functional
collaboration
andinvestingintraining
willbuild
AIliteracy
and
confidence
throughout
theorganization.•Tracking
andcommunicatingboth
financial
andnon-financialreturns
willhelpbuild
momentum
and
support
for
further
AIinvestments.3AIInvestmentModernizingtoScaleAICapabilities96%of
organizations
plan
to
increase
AI
investment
in
the
next
12months,
with
spending
growth
averaging+13%.Infrastructure
remainsthe#1investment
priority,but
agentic
and
generative
AI
solutions
arerising
rapidly,reflecting
the
need
for
scalable,
secure,
and
high-performingplatforms
thatenable
advanced
AIdeployments.•CIOs
shouldcontinueinvestinginmodern,
scalableinfrastructure
thatsupportsbothcurrent
and
future
AI
workloads.•
Evaluatingplatforms
forperformance,
security,
and
flexibilityiscritical
tosupporting
diverseAIusecasesacross
theenterprise.•
Partnering
with
vendors
whoofferintegratedinfrastructure
and
solution
stackswillenable
more
seamlessdeployment.•Aligninginfrastructureinvestments
withaclear
AIroadmap
willensurereadiness
forrapid
innovation
andgrowth.ConsiderationsforCIOsfor2026eBook,CIO
Playbook
2026:The
Race
for
Enterprise
AI
Source:IDC
CIO
Playbook
2026Survey,
commissioned
by
Lenovo,n=3,120
45Agentic
AITheComingWaveofAutonomousAIAgentsOverhalfoforganizations
areactivelyexploring
ordeploying
agenticAI,but
most
are
not
ready
for
scaled
implementation
within
the
next
12
months.
Adoptioninterestisstrongestincybersecurity,
qualitycontrol,
andcustomer
service,
withoperational
efficiency
and
trustas
topdrivers.•••CIOs
shoulddevelop
astructured
approach
toagentic
AIusecases,ensuringcollaborationbetween
IT
and
business
teams
to
maximize
impact.Investinginplatforms
and
tools
thatenable
effectivemonitoring,
control,
andoptimizationofagentic
AI
deployments
is
essential.Prioritizing
use
cases
that
deliver
measurable
business
outcomes
will
help
demonstrate
value,whilepreparing
theorganization
for
thecultural
andprocesschangesrequired
toscaleagentic
AIsafely
and
effectively
will
be
key
to
long-term
success.•CIOsmustaccelerate
thedevelopment
andenforcement
ofcomprehensive
AIgovernancepolicies
that
address
security,privacy,
and
data
sovereignty.•
Proactivelyimplementingresponsible
AIpractices
and
transparentdecision-making
willhelp
address
trustconcerns
andbuild
stakeholder
confidence.•
Regularlyreviewing
andupdatinggovernance
frameworksisnecessary
tokeeppace
withevolving
risks
and
regulations,
while
educating
stakeholders
on
responsible
AI
principles
willensuresustainable
adoption
andlong-term
success.CIO
Strategic
Imperatives
(2/2)HerearesomekeyinsightsfromIDC’sresearchinvolving3,120ITandbusinessdecisionmakers(ITBDMs)globally,alongwithconsiderationsforCIOsfor2026:AI
TrustGovernanceandDataSecurity:ANon-NegotiableFactor
for
AIOnly27%of
organizations
have
comprehensive
AI
governanceframeworks;56%are
still
developing
policies.
Top
trust
concerns
includelack
of
responsible
AI,inconsistent
application,
and
poor
data
security.Introduction
Key
Findings
CIOStrategicImperatives
GlobalInsights
InsightsbyIndustries
Research
Methodology
Why
LenovoInsights
ConsiderationsforCIOsfor2026eBook,CIO
Playbook
2026:The
Race
for
Enterprise
AI
Source:IDC
CIO
Playbook
2026Survey,
commissioned
by
Lenovo,n=3,120
54Introduction
Key
Findings
CIOStrategicImperatives
GlobalInsights
InsightsbyIndustries
Research
Methodology
Why
LenovoGlobalInsightseBook,CIO
Playbook
2026:The
Race
for
Enterprise
AI
6BusinessPrioritiesAIasthe
Enginefor
Business
ReinventionOrganizationsin2026
articulateadualmission:driveinnovationandbusinessreinvention
through
AIwhileincreasingrevenueandprofitgrowth.
AsAImaturityaccelerates,priorities
areshifting.Lastyear’stopgoalofimprovingemployeeproductivityhasdroppedfourspots,replacedbyanewfocusonenhancinginnovation
anddriving
reinvention.
Atthesame
time,pressuretodemonstrateROIisintensifying,
withrevenueandprofitgrowth
jumpinguptwospots.Customerexperience
andsatisfactionremainfirmlyinthe
topthree
yearover
year,underscoring
theneedtobalance
transformation
withdeliveringexceptional
valuetocustomers.SpotlightQuote"WestartedusingAItooptimize
and
supportcompanyconsolidation,sinceourorganizationwasbuilt
mostly
through
M&As.The
idea
was
to
use
AIfor
efficiency
and
cost
reduction,and
we’ve
used
it
alotforthat.Now,we’removingbeyondcostsavings
tofocusonqualityandproactiveoperations,usingAIasafoundationforongoingbusinesstransformation.“—Global
CIO
of
an
environmental
servicesorganization,based
in
Brazil2025
2026YoY
ChangeN/A
1
Newfor2026-4 Increase
revenues&profits42+2Improvecustomerexperience&satisfaction33=Drivedigitalbusinessinnovation54+1BusinessPriorities-Global
Enhance/innovate/reinventourbusinesswithAIBusinessPrioritiesAI
Adoption
&ImplementationAIInvestmentAIReturnsAI
Success
&
ScaleAgentic
AIKeyFindings
CIOStrategic
Imperatives
Global
Insights
InsightsbyIndustries
Research
MethodologyeBook,CIO
Playbook
2026:The
Race
for
Enterprise
AI
Source:IDC
CIO
Playbook
2026Survey,
commissioned
by
Lenovo,n=3,120
7Why
LenovoAIInfrastructureAIDevices
/InferencingAI
TrustImproveemployeeproductivity15个Introduction☆AIAdoption&ImplementationThe
Proliferation
of
AI
Beyond
ITAIisbecomingabusiness-wideimperative.
Yearoveryear,thenumberoforganizationspilotingorsystematicallydeploying
AIhasdoubled,andmorethanhalfhavemovedbeyond
earlystagesofAIdevelopment.ThetechnologyfunctionremainsacriticalareatoapplyAI;however,linesofbusinesssuchascustomerservice,marketing,andoperations
arehighlightedasfutureusecaseopportunitiesoutsideofIT.
Thesefunctions
topthelistfornon-ITareaswhereAIhasalreadybeenimplementedorwillbeimplementinginthenext
12
months.
Piloting
/adopted
AI
Earlystagesof
AIdevelopment
Considering
/planningAI
adoptionIT-RelatedData&
analyticsCybersecurity Software
development
+65%+75%+84%AI
Implementation
by
Business
Area:past
year&next
year
Past
12
Months
Only
YoYincrease
Past
+Next12
Months
#
of
organizations30%21%49%60%17%23%BusinessPrioritiesAI
Adoption
&ImplementationAIInvestmentAIReturnsAI
Success
&
ScaleAgentic
AINearlyhalf
(47%)
oforganizationssurveyedreported
thatdepartmentalbudgetshave
beencontributingto
AIimplementations.CustomerserviceMarketingOperationsFinanceSalesOther
non-ITKeyFindings
CIOStrategic
Imperatives
Global
Insights
InsightsbyIndustries
Research
MethodologyeBook,CIO
Playbook
2026:The
Race
for
Enterprise
AI
Source:IDC
CIO
Playbook
2026Survey,
commissioned
by
Lenovo,n=3,120
8On
average48%oftargetusersadoptAIprojectsinproduction.+62%+86%+73%+101%+85%+98%Why
LenovoAIInfrastructureAIDevices
/InferencingAI
Trust IT
+56%AI
ImplementationAI
Adoption
Statussystematically20242025Introduction48%Non-IT=AIagentdevelopment,deployment&applications/solutions102+8GenAIdevelopment,deployment&applications/solutions83+5AI
security,trust
&transparency
tools34-1SpendingDistributionbyAITypefor
the
Next12MonthsAgenticAIAgentic
AI
softwarerefers
to
systems
thatusemachinelearningand
deep
learning
techniques
to
exhibit
agency—
setting
goals,
makingdecisions,
and
taking
actions
through
theperception-reasoning-action
loop,e.g.,
cybersecurity
defense
agent.GenAICreatingnewcontent
orcodebyleveraging
existing
content
or
code
as
afoundation,usingLargeLanguageModels(LLMs),
e.g.,
software
development
assistant
that
generates
code,
along
with
documentationsand
tests.InterpretiveAIAnalyzingunstructured
data—such
aslanguage,images,
andevent
streams—touncoverpatterns
andderiveinsights,e.g.,manufacturing
quality
control
system
that“interprets”
the
visual
data
of
assemblyline
to
detectproduct
defects.PredictiveAIAnalyzinglarge
datasets
touncoverlong-termbehavioralpatterns
for
forecasting,
e.g.,retail
inventory
forecasting
engine.NearlyallrespondentssaidtheyplantoincreaseinvestmentinAIoverthenext
12months,withanaverageincreaseinspendof13%.NewerAItypeslikeagentic
AIandgenerative
AIarecapturingthe
attentionofbusinesses,butspendingisexpectedtobesimilaracrosscategories.Whatremainsconsistentoverthepast
12monthsandnext
12monthsisthenumber
1prioritytodeployandscale
supporting
AIinfrastructure.Ultimately,CIOsrecognizehowcriticalarobustfoundationistoeffectivelyrunning
AImodels,platforms,applications,
andagents.96%of
surveyed
organizations
plan
to
increase
theirinvestment
in
AI
over
the
next12months,with
an
averagespending
growth
of
approximately
+13%.AIInvestmentModernizing
to
Scale
AI
CapabilitiesBusinessPrioritiesAI
Adoption
&ImplementationAIInvestmentAIReturnsAI
Success
&
ScaleAgentic
AIKeyFindings
CIOStrategic
Imperatives
Global
Insights
InsightsbyIndustries
Research
MethodologyAIInvestments
PrioritiesDeployandsupportAIinfrastructureeBook,CIO
Playbook
2026:The
Race
for
Enterprise
AI
Source:IDC
CIO
Playbook
2026Survey,
commissioned
by
Lenovo,n=3,120
9Why
LenovoAIInfrastructureAIDevices
/InferencingAI
Trust1
1=Public
cloud
AI
servicesPast12MonthsNext12Months55IntroductionChange24%26%28%23%Top
Non-Financial
Benefits
Realized
from
AI
Initiatives43%Increased
employeeengagement
orsatisfactionSpotlightQuote"Weshowthereturnon[AIprojects]everyquarter.Wetrackhowmuchwespent,thetimeinvested,and
the
percentage
of
team
time
used.Not
everything
has
a
dollar
value,
but
soonwe’ll
be
able
to
say,for
example,we
saved50%on
a
particular
product
because
AI
helped
usfindabetterreasontobuyordistributeit.“—CIO
of
a
US
based
infrastructure&safety
services
organizationAIReturnsAI
Delivers
Financial
Returnsand
Business
BenefitsExpectations
thatAIwillgeneratemeasurablereturnsaresignificant.Onaverage,organizationsexpecttogenerate$2.79foreverydollarinvestedinAIprojects.Currently,ITleadsin
deliveringpositiveAIreturns,butasadoptionexpands,positivereturnsshouldbroadenacrossbusinessfunctions.Beyondfinancialbenefits,organizationsalsopointtoimprovedcustomerexperience,increasedemployeeengagement,
andimproveddecision-makingspeedoreffectivenessas
topbenefitsrealizedfromAIinitiatives.93%of
surveyed
organizations
anticipate
apositivereturnoninvestment(ROI)fromtheirAI
initiatives.BusinessPrioritiesAI
Adoption
&ImplementationAIInvestmentAIReturnsAI
Success
&
ScaleAgentic
AIOnaverage,theseorganizationsexpecttogenerate
$2.79in
value
for
every
dollarinvestedinAIprojects.IT
OpsData&
AnalyticsCybersecurityCustomerServiceSoftwareDevelopmentKeyFindings
CIOStrategic
Imperatives
Global
Insights
InsightsbyIndustries
Research
MethodologyeBook,CIO
Playbook2026:The
Race
for
Enterprise
AI
Source:IDC
CIO
Playbook
2026Survey,
commissioned
by
Lenovo,n=3,120
10TopBusinessAreaswhereAIhasShownPositive
ReturnsWhy
LenovoAIInfrastructureAIDevices
/InferencingAI
TrustImproveddecision-making
speedoreffectiveness12345Improvedcustomer
experience42%47%Introduction本报告来源于三个皮匠报告站(),由用户Id:349461下载,文档Id:1147705,下载日期:2026-03-10SpotlightQuote"The
most
obvious
challenge
is
cost.For
example,new
laptops
have
powerful
chips
embedded
in
them.It’s
going
to
keep
on
getting
moreexpensive,at
least
in
the
short
term.The
second
challenge
is
the
training
needed.There
is
a
different
chip
set
in
the
computer
to
help
run
higherperformance
models.It
will
help
some
people,but
others
won't
even
realize
it.It
will
be
a
challenge
to
determine
who
gets
access
to
that
first.Who's
going
togetthoselaptopswiththosenewchipsetsandusethemeffectively?“—CIO
of
a
US
based
infrastructure&safety
services
organizationAISuccess&ScaleSkills,
Infrastructureand
Integrationare
Keyto
FurtherAISuccessandScaleSuccessfulAIimplementationrequiresalignmentacrosspeople,technologyandprocesses.Organizationsmust
investinworkforcetransformationbyupskillingemployeestobuildinternal
AIexpertiseandreadiness.Without
broadadoption,
technologyinvestments
stallandfailtodeliver
value.Technologyaloneisnotenough–costeffective,scalableAIsolutionsarecritical.Lastly,leadersmustreimagine
workflowsandprocessestointegrate
AI
andaugmenthumancapabilitiesateveryleveloftheorganization.1
Employee
training/upskilling
to
build
internal
AI
expertise2
Scalable,high-performing,
and
cost/energy-efficient
AI
infrastructure3
Effectivehuman-AIcollaboration
foroptimizedworkflows4
Secure
access
to
data&information
across
personal,enterprise,cloud
environments5
Availability/deployment
of
AI
devicesCriticalSuccess
FactorsforAI
Implementationin
OrganizationsBusinessPrioritiesAI
Adoption
&ImplementationAIInvestmentAIReturnsAI
Success
&
ScaleAgentic
AIKeyFindings
CIOStrategic
Imperatives
Global
Insights
InsightsbyIndustries
Research
MethodologyeBook,CIO
Playbook
2026:The
Race
for
Enterprise
AI
Source:IDC
CIO
Playbook
2026Survey,
commissioned
by
Lenovo,n=3,120
11Why
LenovoAIInfrastructureAIDevices
/InferencingAI
TrustIntroductionEdge(e.g.,devices,
business
locations)AIInfrastructureHybrid
AI
for
Scalable,Secure
Enterprise
WorkloadsOnly
16%oforganizationssaytheirprimary
AIdeploymentmodelispubliccloudonly.Rather,84%oforganizationsprefertoleverageon-premisesand/oredgedeploymentsforAIworkloadsaspartofahybriddeploymentenvironment.
Theprimarydrivers,security,control,andmission-criticaldatarequirements,aremakinghybridandedgedeploymentmodels
muchmoreattractive,drivingorganizations
tofavortheseapproachesoverfullypubliccloudsolutions.AsglobaldemandfordigitalandAI
sovereignty
grows,
these
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