2026年全球人力资本趋势报告（英文版）-

2026

Global

Human

Capital

Trends

From

tensions

to

tipping

points:Deloitte.InsghtsChoosingthehumanadvantage02...Fromtensionsto

tippingpoints:

Choosing

the

humanadvantage08...

Gettinghumanandmachinerelationships

right16...Fact

or

fabrication?AI

is

blurring

the

line

when

it

comes

to

peopleandwork23...AIandthefutureof

humandecision-making31..

.Dealing

with

AI’s

cultural

debt38..

.The

orchestration

advantage47...Haveorganizationalfunctionsoutlivedtheirfunction?55...Staying

relevant

in

a

world

that

won’t

sit

still65...Decisions

that

echo2026

Global

Human

Capital

Trends

1Tableof

contentsFrom

tensions

to

tipping

points:

Choosing

the

human

advantageThe2026GlobalHumanCapital

Trendssurveyrevealstheintentional

choicesorganizationscanmake

toadaptcontinuously,move

withspeed,andlead

withahumanedgeShannonPoynton,JasonFlynn,NicScoble-Williams,VictorReyes,DavidMallon,andSueCantrellThe

classic

S

curve

of

growth

has

long

described

howbusinessesandworkevolve:graduallift,rapid

acceleration,

and

eventual

plateau.

Today,

that

curve

is

compressing.

AI

and

workforce

transfor-

mationareacceleratingtheclimband

bringingtheplateau

sooner(figure1).Organizations

are

pressed

to

leap

to

the

next

curve

more

quickly

to

remain

competitive.

Long

cycles

ofplanning

and

predict-able

execution

may

no

longer

hold

in

a

world

wheremarkets,

technologies,

and

worker

and

customer

expectations

shift

in

real

time.

Success

may

now

depend

more

on

sensing

change,

experimenting

quickly,andadaptingcontinuously.Today,

new

data

and

workforce

insights—rang-

ing

from

organizational

digital

twins

to

real-timeanalytics—make

it

possible

to

see

where

an

organi-zationsitsonthecurveand

actively

steer

how

and

whentojumptothenext

one.theedgesofthese

questions.

Organizations

are

nolonger

just

trying

to

balance

competing

forces:They

arestandingat

atipping

point.In

our2026Global

Human

Capital

Trends

survey,

7in

10businessleaders

say

their

primary

compet-

itivestrategyoverthe

next

three

years

is

to

be

fast

and

nimble—to

quickly

adapt

to

and

capitalize

on

changing

business,

customer

or

market

needs.

Leaders

also

report

that

the

two

most

important

driversofsuccessare

accelerating

how

people

and

resources

are

orchestrated

to

perform

work

and

increasing

their

organization’s

and

workforce’s

abilitytoadapttochange

and

speed.ontrol

or

empowerment?

Stability

oragility?Automationoraugmen-

tation?Lastyear,weexploredthese

tensions

and

the

need

to

navigatethe

polarities

at

play.But

in

2026,

the

pace

of

change

is

sharpeningCFromtensionstotippingpoints:

Choosing

the

humanadvantage2Figure

1The

traditional‘S

curve’that

defines

business

evolution

is

compressingmoment

ofTimeSource:Deloi廿e

analysis.decisionThree

tipping

points

shaping

the

future

of

workWhatmakesthismomentdifferentisthatthepressureson

organi-

zationsarenolongersequential,but

compounding.Technological

advancement

is

converging

with

economic

volatility,

geopolitical

tensions,

societal

expectations,

and

a

rapidly

shifting

workforce.

Theboundarybetweenplanningandexecution

is

collapsing,

even

as

cost

pressures,

efficiency

mandates,

and

questions

oftrust

and

clarity

intensify.

Many

leaders

feel

overwhelmed—aware

of

the

challenges

but

strugglingto

act

decisively.Tensions

oncemanage-able

over

time

are

now

tipping

points,where

hesitation

risks

missed

opportunities

and

lasting

consequences

for

organizations,

their

people,and

society.Inmomentsofdiscontinuity,leadersfaceachoice:remaintethered

totheoldcurveorleap

boldlyto

the

next.Winning

organizations

seetippingpoints

as

an

openingrather

than

a

crisis

but

changing

that

mindset

isn’t

easy.

Letting

go

of

familiar

models,

rewiring

assumptions,

and

bringingpeople

along

require

courage,

discom-

fort,

and

persistence.

By

constantly

embracing

reinvention,

they

canturndisruptionintomomentum—unlockingnewvalue,human

potential,andgrowthonthenextS-curve.The

next

curve

isn’t

onthe

horizon—it’s

unfolding

now.Historically,

organizationsjumpedthecurve

by

adding

newtech-

nology,

a

strategy

that

may

no

longer

be

enough.

Organizations

willlikelyneedtomakethe

leap

differently.Competitive

advantage

is

now

primarily

less

driven

by

technol-

ogy

differentiation

and

more

by

cultivating

the

human

edge.

Technology—especially

something

as

increasingly

ubiquitous

asAI—is

replicable.People

aren’t.Humans

create

competitive

differ-

entiationthroughadaptivity,creativity,andjudgementamiduncer-

tainty

and

change.

When

it

comes

to

AI,value

is

unlocked

through

areimaginationof

workthatbringsthebestof

humansandmachines

togetherinconcert.Indeed,

recent

Deloitte

research

with

100

C-suite

leaders

reveals

thatmostorganizations(59%)aretakingatech-focusedapproach

when

it

comes

to

AI.

But

those

taking

a

tech-focused

approach

are

1.6x

more

likelyto

notrealizereturns

on

AI

investments

that

exceedexpectationscomparedtothose

that

take

a

human-centric

approach.1Thishuman-centricfocusallowsorganizationstoconfidentlyjump

thecurveratherthanstayonthe

samecurve,

or

worse,

fall

offthecurve

entirely

(figure2).Fromtensionstotippingpoints:

Choosing

the

humanadvantage3PathofhighperformersTraditionalapproachGrowthFigure

2A

human-centric

focus

can

help

organizations

jump

the

curveMachine-tech-centric

focusTimeSource:Deloi廿e

analysis.Fromcost

efficiency

to

valuecreationRelentless

cost

pressures,changing

consumer

and

worker

behaviors,

and

geopolitical

shifts

have

pushed

many

organizations

toward

efficiencyatallcosts.Butasthatmodeltips,

the

focus

should

shift

towardvalue.Thismeansevolvingfunctionstobefit-for-purpose,

investingininnovation,andprioritizinggrowththroughadaptabil-

ityratherthan

simplyreducing

expense.

At

the

same

time,demo-

graphic

shifts

and

disappearing

workforces

are

making

human

capacityitselfascarceresource,elevatingtheneedtoinvestwhere

humanscreateuniqueandirreplaceablevalue.

Organizations

that

succeedwilllikelynotbethosethatautomatethefastest,butthosethat

channel

efficiency

into

reinvestment,fueling

new

forms

of

valuecreationandworkerperformance.From

static

plans

to

dynamic

orchestrationThe

future

is

both

here

and

unknown,making

curiosity

a

core

orga-

nizational

capability.

Staying

relevant

means

continually

reimag-

ining

how

workers

change,

learn,

and

grow.

And

as

strategy

and

execution

merge,

organizations

will

likely

need

to

move

beyond

structuredjobsandworkers,orchestratingcapacityandcapabilitiesto

meet

shifting

demands.This

means

building

systems

for

perpetualIn

2026,

three

tipping

points

stand

out

as

especially

important—

moments

where

leaders

will

need

to

decide

whether

to

cling

to

the

old

curve

or

leap

to

the

next.

Each

tipping

point

represents

a

shift

that

organizations

can

no

longer

defer.

They

are

not

distantpossibilities

but

present

realities,demanding

choices

that

will

definehow

organizations

create

value,

build

trust,

and

unleash

human

potentialinanAI-poweredworld.Giventhespeedandcomplexity

of

change,

these

tipping

points

can

either

sweep

leaders

along

or

becomemomentstoactwithprecisionandintention.From

human+machine

to

human

x

machineThe

boundaries

between

humans

and

machines

are

blurring.

Organizationswilllikelyneedtoredesignworktoharnesshuman–

machine

synergy,

moving

beyond

having

humans

and

machines

work

side

by

side.

This

includes

a

rethinking

of

culture,

decision

rights,andtrustindataitself.Thequestionsarefundamental:How

does

culture

evolve

when

people

and

intelligent

agents

work

side

byside?Whohastheauthoritytodecidewhenalgorithmsactand

whenhumansintervene?Andhowcanorganizationsprotectthem-

selvesagainstmisinformationanduntrustworthyoutputsinaworld

whereAIisbotha

collaborator

and

a

risk?Fromtensionstotippingpoints:

Choosing

the

humanadvantage4

cp

t

i

ineionch-omraatedbzLackofintentionalityHuman-centric

focuslearning,experimentation,andreinvention,whereworkersarenot

only

adapting

to

disruption

but

empowered

to

shape

it.

Purpose,

values,andcultureshouldevolvefromstaticstatementsintoliving

partsof

theorganization,anchoringthemwhileprovidingthefree-

domtoadapt,compete,andthrive.Exploring

the

tipping

points

in

this

year’s

trendsEachtippingpointpresentsanopportunityfor

leaders

to

test

newpossibilities

and

accelerate

toward

the

next

curve,while

also

surfac-

ingquestionsthatcannolonger

be

deferred.

The

promise

ofAI

is

expandingrapidly,reachingfurther

into

work

and

the

workforcethan

ever

before;yet

the

gap

between

its

potential

and

today’s

reality

remains

wide.

Bridging

that

gap

will

likely

require

organizations

to

intentionally

evolve

how

work

is

designed,

how

workers

stay

relevant,andhowleadershipandcultureenable

adaptation.This

year’s

report

focuses

on

choices

that

our

research

shows,despitebeingpowerful

levers

ofvalue,

are

often

overlooked.Many

orga-

nizations

are

not

yet

making

intentional

decisions

in

these

areas.

Thechaptersthatfollowexaminethesequestionsindepth,

illumi-

nating

the

decisions

leaders

will

need

to

navigate

to

thrive

in

an

AI-powered,constantlyshiftingworld.•

Howdowemaximizethevalueof

humansandmachineswork-ingtogether?Whatchoicesmattermostwhenredesigningwork

for

humans

working

in

concert

with

AI—and

how

do

thesechoices

shape

the

experience

and

performance

ofthe

humans

inthe

system?As

AI

becomes

part

of

everyday

work,most

orga-nizations

still

aren’tintentionally

designinghowhumans

and

machines

interact,

limiting

returns

and

reinforcing

outdated

processes.

Our

research

shows

that

those

who

intentionally

redesign

roles,

workflows,

and

decision-making

to

supporthuman–AI

collaboration

are

more

likely

to

exceed

expectations

oninvestmentreturns

and

delivermeaningful

work.

With

AIaccess

widening,intentional

design—not

technology

alone—is

becomingtherealdifferentiator.•

Howdo

weknow

what

is

true

about

people

and

work?

How

can

organizations

trust

the

data

they

rely

on

to

make

decisions

aboutpeople

andwork?AI

is

increasingly

blurring

authorship

and

eroding

confidence

from

both

workers

andorganizations.Yet

according

to

our2026survey,

few

organiza-tions

are

making

significant

progress

to

address

these

concerns.

To

stay

resilient,leaders

will

likely

need

to

expand

from

focus-

ingoncybersecuritytofocusingondisinformationsecurityand

establishingstrongerfoundationsofdigitaltrust.•

Who’s

accountable

when

both

humans

and

AI

are

makingdecisions?

Whenhumansandmachinesinteract,

who’stheboss?

Who

decides?

And

how

will

accountability,

decision

rights,and

leadership

evolve?AI

is

increasingly

influencing

organiza-

tionaldecisionsandauthority.

Treating

decision-making

as

astrategicdiscipline—andintentionallydesigninghowhumans

and

AI

share

judgment

and

accountability—is

important

to

maintainingtrustandprotectinghumanagency.Donewell,AI

canstrengthenratherthanoverridehumandecisionmaking.•

How

is

AI

changing

our

culture?How

does

culture

shift

when

intelligentmachines

arepart

ofthe

workforce?What

are

the

implications

for

connection,

trust,

and

the

human

fabric

of

organizations?

Many

organizations

are

overlooking

AI’s

impactonhuman-to-humanbehaviors,allowingmisalignment,

distrust,

and

unaddressed

norms

to

accumulate

as

“culturaldebt.

”With

workers

questioning

what

counts

as

effort,owner-

ship,

fairness,

and

accountability—and

most

organizations

rarelyevaluatingAI’scultural

effects—trust

and

cohesion

are

erodingjustwhentheymattermost.Toavoid

this

quiet

dete-

rioration,

leaders

should

intentionally

reinforce

and

evolve

culturesothatAIstrengthens,ratherthanundermines,shared

valuesandperformance.•

How

do

we

orchestrate

capability

and

capacity

at

speed?

AIisacceleratinghow

work

happens,

and

advantage

is

shift-

ing

from

allocating

talent

in

static

structures

to

orchestrat-

ing

people,

skills,

data,

and

technology

in

real

time.

Speed

now

outpaces

scale,

yet

most

organizations

aren’t

moving

fastenough.Thosethat

continuously

reconfigure

capabilities

aroundoutcomesaremorelikelytooutperformfinanciallyand

createmeaningfulwork,turningvolatilityintoopportunity.Fromtensionstotippingpoints:

Choosing

the

humanadvantage5•

How

do

we

get

more

value

from

our

functions?

As

costefficiencygiveswayto

value

creation,

how

should

core

func-

tionslikehumanresources,finance,andITevolvetobefitfor

purpose?Traditional

functions

are

increasinglytoo

slow

and

siloedfortoday’sbusinessdemands,yetfeworganizationsare

making

progress

in

moving

beyond

them.

As

work

becomes

moremultidisciplinaryandAIandinnovationrequireseamless

collaboration,

organizationsmayneedto

rethink

and

decon-

struct

functions,

reassembling

capabilities

around

outcomes

ratherthanrigidstructures.•

How

do

we

stay

relevant?Traditional

change

management

andtraining

may

be

too

slow

to

help

organizations

and

workers

adapt

as

the

pace

of

change

accelerates.

Few

organizations

manage

change

effectively,

and

even

fewer

meet

continuous

learning

needs.

AI

is

reshaping

both,

enabling

workers

to

learn,adapt,andapplynewskillsdirectlyintheflowof

work.

Organizationsthatbuildthisalways-on,real-timeadaptability

canavoidstalledtransformationsanddisengagedtalent,turn-

ingworkforcegrowthandresponsivenessintoanewcompet-

itiveadvantage.Making

the

leap

with

human

advantageReinvention

is

no

longer

episodic:

It’s

the

new

baseline

for

work

andtheworkforce.Theorganizationsthatthrivewilllikelybethe

onestotreatdiscontinuityasmomentum,movingquicklytorede-

signwork,

roles,

and

value

rather

than

reverting

to

old

strategies

inresponsetoAIand

other

advances.AstheS-curvecompresses,so

dothe

capabilities

required

to

navi-

gate

it.

Where

innovation,

scaling,

and

efficiency

once

happened

in

sequence,

today

they

increasingly

need

to

coexist,

often

within

thesameteamsandeventhesameindividuals.Buildingthehuman

advantage

is

now

as

critical

as

managing

technology

itself.

That

meansnotsimplypreparingworkersforthefuture,but

building

a

workforce

that

can

continually

learn,

adapt,

and

reinvent

in

real

time.Thosethatmakebold,intentionalchoicestostrengthentheir

humanedgewillsetthe

benchmarkfor

success.Fromtensionstotippingpoints:

Choosing

the

humanadvantage6Endnotes1.

Sue

Cantrell,

David

Mallon,Aniket

Bandekar,

and

SimonaSpelman,

“Scalingyourhuman

edge,”Deloitte

Insights2Action,Oct.

27,

2025.Fromtensionstotippingpoints:

Choosing

the

humanadvantage7Getting

human

and

machine

relationships

rightTomultiplyhumanpotential

withAI,organizationscandeliberately

designhumanandmachineinteractionsNicScoble-Williams,SueCantrell,DavidMallon,andStefanoBesanaconsidering

that

only14%

of

leaders

responding

toour2026Global

Human

Capital

Trends

survey

say

theyareadeptat

shapingthose

interactions.Theproblem,accordingtorecentDeloitteresearch,

is

that

most

organizations

(59%)

are

taking

a

tech-focused

approach

to

AI.3

They

layer

AI

ontolegacy

systems

and

processes,rather

than

reimagin-

inghowhumansand

AI

interact,

collaborate,

and

make

decisions.Thisis

similarto

the

way

historic

cities

are

often

forced

to

add

new

infrastructure

onto

old

foundations

rather

than

redesigning

for

flowandconnectionfromtheground

up.But

in

a

world

where

access

to

AI

is

rapidly

democ-

ratizing,technologyalonenolongersetsorganiza-

tions

apart—people

do.

It’s

how

people

interact

withAIthrough

intentional

design

that

can

make

thedifference.machinesactuallyinteract.1

Organizationsroutinely

designhuman-to-humanrelationships,andincreas-

ingly

machine-to-machine

workflows

as

well.

But

manyarestilldesigningwork

for

people

and

tech-

nology

separately,

rather

than

designing

for

both

together.Thislack

ofintentionalityis

leaving

many

organi-

zations

struggling

to

realize

value

from

AI.

While

some

organizations

are

seeing

results,

most

aren’t

realizingareturnontheirinvestmentsatthe

speed

they

need.2

Organizations

can’t

count

on

cohe-

sivehuman-AIinteractionsto

happen

organically,early60%of

workers

now

use

artificial

intelligence

intentionallyat

work,according

to

a

recent

study

bytheMelbourneBusinessSchool,

yetfeworganizationsareintention-

allydesigningforhowhumansandNGettinghumanandmachinerelationshipsright8本报告来源于三个皮匠报告站（）,由用户Id:619989下载,文档Id:1149576,下载日期:2026-03-06Figure

1Organizations

say

it’s

important

to

design

human-machine

interactions,

yet

only

6%

are

making

great

progress

toward

doing

soPercentageof

respondentsansweringthequestions,

“Howimportant

is

designing

efective

interaction

betweenmachines

(e.g.,AI,robots)andyourhumanworkforceto

enhance

both

organizationperformanceand

workforce

trustand

well-being?”and

“Where

is

your

organization

on

its

journey

to

address

this

issue?”66%recognize

the

importance

......

with

57%having

efortsunderway...

and

6%making

greatprogressin

this

area(figure1).Our

analysis

shows

that

organizations

leading

theway

on

intentional

design

ofhuman-AI

interaction

are

nearly

2.5timesmorelikelytoreportbetterfinancialresultsandtwice

as

likelytosaytheyprovidemeaningfulwork.The

scaffolding

for

intentional

interaction

designEffective

human

and

machine

interaction

isn’t

intuitive;

it

won’t

happenbyaccidentordefault.

Organizations

should

intentionally

designhuman-AIinteractionsatboththeorganizationwidemacro

level(including

design

principles,governance,and

strategy)and

the

moregranularmicrolevel(specificinteractionsforparticularwork,

workers,andteams).Deloitte

research

shows

that

organizations

are

twice

as

likely

to

exceed

their

return

on

investment

expectations

for

AI

when

theyprioritize

work

design,thoughtfully

redesigning

human

and

machine

interactions

and

roles.4

Consider

the

results

when

one

European

tele-communications

company

added

an

AI“expert”to

customer

service

without

changing

roles

or

workflow

and

saw

a

small5%

productiv-ity

lift.But

dedicating90%

of

the

full

rollout

budget

to

redesigninghuman-AI

interactions—new

workflows,trust

thresholds,escalationpaths,and

robust

training—unlocked

a30%

productivity

increase,

asagentslearnedtopartnerwithAI.5Leaders

increasingly

recognize

what’s

at

stake:

Sixty-six

percent

acknowledgethattheintentionaldesignofhuman-AIinteractionis

important

to

organizational

success.Yet

only6%

say

they’re

leadingⅢe

g4pbetweenⅢosewho

recognize

Ⅲe

import4nce

ofⅢistrend

4nd卅ose

whoare

makingrealprogressin

addressing

itSource:Analysis

of

Deloi廿e’s2026GlobalHumanCapitalTrendssurveydata.Gettinghumanandmachinerelationshipsright960%Another

key

macro

dimension

is

governance

and

accountability.

As

the

dimensions

ofhuman-AI

collaboration

expand—spanning

technology,people,process,risk,and

culture—the

C-suite

should

increasinglyoperateasasymphony.Business,informationtechnol-

ogy,humanresource,finance,operations,risk,andlegaleachplay

theirpart,allfollowingthe

same

score.To

move

beyond

traditional

silos,

some

organizations

are

adopt-

ing

cross-functional

governance

models.

For

example,

Moderna

has

merged

IT

and

HR

to

unify

technology

and

people

strategy;7

Skillsoft’s

AI

council

enables

cross-functional

oversight;8

andDisney’schief

AIandcollaborationofficerfocusesonenablingbettercollaborationacrossthebusiness.9Once

the

organization

establishes

governance,leaders

can

set

overalldesign

principles

to

guide

teams

in

creating

optimal

human

and

machine

interactions.

These

principles

should

be

anchored

in

theenterprise’s

values

and

mission,so

they

might

vary

by

organization.

Somedesignprinciplestobegin

with

include:•

Outcome-driven:Define

the

human

and

business

outcomes

toamplify,

focusing

on

results

that

transcend

what

humans

or

AIcouldachieve

alone.•

Contextual:

Tailor

solutions

to

each

workflow,

team,

risk

profile,andhuman-AIrelationship.•

Transparent:Make

roles,decision

rights,trust

thresholds,and

accountability

explicit,

so

everyone

understands

how

human

andAIcontributionscombinetodrivesuperior

outcomes.DimensionExamples

of

hard

wiringExamples

of

so什

wiringStrategic

ambitionHowcan

theinteractionsbetweenhumansandmachinesimprovebusiness

andhumanoutcomes?Governance

and

accountabilityWhomakes

thesedesignchoices?

Whoowns

theconsequences?Howare

outcomesmonitoredandevaluated?Design

principlesWhatprinciplesaregoing

toguide

your

designchoices?Ethics

and

trustWhat

ethical

frameworksguideeforts?InfrastructureWhatphysicaland

technological

foundationsarerequired?•

Boardor

stakeholder

governance•Strategicplanning•

Riskandorganizationalcontrols•

Decisionrights•Organizationalstructure•Technologystack•

Partners,alliances,andecosystems•

Labor

relations•

Culture•

Leadership•

Purpose•

BrandFor

design

to

succeed

at

both

levels,it

needs

to

consider

both

hard-

wiring

and

softwiring.

Hardwiring

includes

formal

elements

like

redesigned

roles,

accountability,

decision

rights,

and

clear

escala-

tionprotocolsthatdictatewhen

work

shifts

from

AI

to

a

human.

Softwiringincludesinformalelementssuchasleadershipbehaviors,culture,

and

psychological

safety

that

give

people

the

trust

and

confidencetoquestion,escalate,experiment,andlearnwith

AI.Design

atthemacrolevelOrganizationsneedaclearviewofthemacro

dimensions

ofwork

designalongwiththehardwiringandsoftwiringchoicesthatshape

howhumansandAIactuallycollaborate

(figure

2).Starting

with

a

clear

strategic

ambition

of

the

desired

human

and

business

outcomes

is

foundational.

For

example,

Michael

Ehret,

senior

vice

president

and

chief

people

officer

at

Walmart

International,

highlights

how

the

company

brings

the

outcome-

drivenandhuman-centereddesignprinciplesto

lifethrough

its

AIstrategy.