AI代理趋势2026：五大变革将重塑角色、工作流程与商业价值

AI

agent

trends2026Five

shifts

that

willredefine

roles,

workflows,and

business

value

in

2026.

Interactive

reportGoogle

About

thisreportThis

report

provides

key

insights

for

businessleaders

to

shape

their

AI

agent

strategy

for

2026and

beyond.

Within

each

trend,

you

willfind

real-life

examples,

technical

resources,

and

customer

stories

to

share

with

yourteams

for

deeper

learning.These

trends

were

identified

using

a

blendof

qualitative

and

quantitative

data,

includinginternal

Google

Cloud

and

GoogleDeepMindinterviews

with

AI

leaders,customer

casestudies,andinsights

from

TheROIof

AI2025report(based

on

a

global

survey

of

3,466enterprise

decision

makers),

with

analysisusingNotebookLM

and

Google

AI

Studio.

Ask

the

reportWant

todigdeeper

into

the

trends?NotebookLM

is

ready

to

help—simply

click

theicon

for

aninteractive

versionof

thisreport.Google

cloud

2Whileheadlines

focuson

thedistant

future

ofArtificial

General

Intelligence(AGI),

the

decisiveshift

for

business

is

happening

right

now.That

shift

is

agentic

AI.

This

is

AI

that

movesbeyond

answeringquestions

tounderstandinga

goal,making

a

plan,

and

taking

actions

acrossapplications

to

achieveit

withextensivehuman

guidance

and

oversight.Due

to

this

capability,

AI

is

one

of

the

firsttechnologies

that

applies

toevery

singleperson,in

both

our

personal

and

professional

lives.Itspowerliesinitsability

to

augmenthumancapacity

with

better

recall,

faster

data

processing,

and

enhancedreasoning

across

theback

office,

front

office,

and

corner

office.

Achieving

this,however,depends

on

ensuring

widespreadaccess,necessary

skillsdevelopment,

and

broadparticipation

for

everyone.In

thisreport,

weexplore

fivekey

AIagenttrendsshaping

business

in2026.Unlocking

the

value

ofthese

trendsrequiresmore

than

simply

adoptingnew

tools.It

also

demands

that

leaders

questionold

assumptions

anddrive

theculturalchangenecessary

to

thrive

in

this

new,agentic

AI

era.AI

agents

areredefining

businessvalue

in

2026

What

areAI

agents?Agents

are

systems

that

combine

the

intelligenceof

advanced

AImodels

with

access

to

tools

so

they

can

take

actionson

your

behalf,under

your

control.I/O,May2025Keynoteby

SundarPichai,

CEO,

GoogleThe

ceiling

for

humanachievement

has

been

lifted.

Ask

thereportGoogle

cloud

366

AI

agents

are

the

leap

from

beingan‘add-on’

approach

to

being

an‘AI-first’process.It’sa

fundamentalchange

in

workflow,a

new

way

towork

that

will

require

a

profound

shiftinmindset

and

corporate

culture.”

OliverParkerVicePresident,

Global

GTM

for

Generative

AI,

Google

CloudAsk

thereportGoogle

cloud

45

Agents

for

scaleUpskilling

talent

will

be

theultimate

driver

of

business

value

Ask

thereport

51

Agents

for

every

employeeEmpowering

individuals

to

achieve

peak

productivity2

Agents

for

every

workflowRunning

your

business

with

grounded

agentic

systemsAdvancing

securityfrom

alerts

to

action

3

Agents

for

your

customersDelighting

customers

with

concierge-like

experiences4

Agents

for

security5

AI

trendsshaping

2026Google

cloud

6Empoweringindividuals

to

achieve

peak

productivityAgents

forevery

employeeAsk

thereportTrend

12345

-using

organizations

have

AI

agents

inproduction,1

deploying

them

across

a

wide

range

of

use

cases:2Of

those:The

most

significantbusiness

shift

of

2026

isn’t

just

about

efficiency;

it’s

a

fundamental,

employee-

centric

transformation.This

new

agentic

model

is

designed

toexpand

the

potential

of

every

individual,

turning

theminto

theprimaryengine

forinnovation

and

growth.49%

use

agents

for

customer

service46%

use

agents

formarketingor

securityoperations45%

use

agents

for

tech

support43%

use

agents

for

product

innovation

or

productivity

and

researchThis

change

stems

from

a

behavioral

shift

inthehuman-computerinterface,moving

frominstruction-based

computing(e.g.,analyzing

a

spreadsheet,developing

code)

to

intent-based

computing.In2026,employees

will

beincreasingly

able

to

state

adesiredoutcome,and

the

computer—using

LLMs

and

agents—determines

how

to

deliver

it.1

Google

Cloud,

TheROIof

AI,2025(Totalglobal:n=3466;

Questions:(1)Howare

AIagentsleveragedacrosstheenterprise?(2)Howmany

AIagentsdoes

yourcompanycurrently

have

deployed

in

production

across

your

organization?)2

Google

Cloud,

TheROIof

AI,2025(Executives

whoseorganizationisleveragingagentic

AI:n=1814;

Question:

Whatusecaseshas

yourcompanydeployed

AIagents

for?)

Ask

thereport

71Agents

for

every

employee3245TElusThis

surge

in

AI[agent]adoption

reflects

a

fundamentalmindset

shift

torecognizingit

as

aproductivityinstrumentavailable24/7.

At

TELUS,

we’ve

seenthis

firsthand—over57,000

team

members

regularlyuse

AI

and

save40minutes

per

AI

interaction.”Jaime

TatisChief

AI

Officer,

TELUS66

By2026,agents

willmanagecomplex,

multi-step

workflows

across

systems.

Akeyresponsibilityof

employees

will

be

to

set

the

strategy

and

oversee

the

systemof

agentsresponsible

for

tasks,

such

asinvoicing

and

contracting.”

Ask

the

report

Google

cloud81Agents

for

every

employee

2345

Ask

the

report

Google

cloud9In

this

new

model,

everyemployee—from

an

entry-level

analyst

to

a

seniorvice

president—becomesa

human

supervisor

of

agents.Their

primary

job

is

no

longer

to

perform

everymundane

task

personally,but

rather

to

orchestratea

team

of

specialized

AI

agents

to

achieve

a

goal.This

model

is

about

more

than

just

delegation;it’s

about

augmentation.

The

real

power

comesfrom

giving

every

employee

agents

groundedinthe

company’s

own

enterprise

context—its

internalsystems,knowledge

bases,customer

data,

andpast

work—to

elevate

theimpact

of

their

efforts.The

employee’s

core

functionbecomesprovidingstrategic

direction.

Their

new

responsibilities

are

to:Delegate

mundane

or

repetitive

tasksIdentify

which

tasks

are

best

suited

for

anagent

and

assign

them.Set

goalsClearly

define

the

desired

outcomefor

the

agent.Outline

strategyUse

theirhuman

judgment

toguidethe

agents

and

make

the

final,nuanceddecisions

that

AI

can’t.Verify

qualityAct

as

the

finalcheckpoint

forquality,

accuracy,

and

tone.

What

is

grounding

in

AI?It

is

the

process

of

anchoring

anAI

model’s

responses

to

a

specific,verifiable

set

of

facts—its“groundtruth.”Foranenterprise,thisground

truthisitsowninternal

data.LearnmoreA

new

integratedworking

model1Agents

for

every

employee

234566As

roles

shift

to

agent

management,enabling

employees

is

vital,especiallyin

regions

like

Japan

that

rely

on

systemintegrators(SIs).Democratization

viatools

like

Gemini

Enterprise

allowsknowledge

workers

tobuildagents,

improvingproductivity

andelevating

the

SIpartnerships

to

focusoncomplex,long-term

initiatives.”

HiroyukiManagingDirector,

Ask

the

report

Google

cloud

10KoikeCustomerEngineering,

Japan,

Google

Cloud1Agents

for

every

employee5243How

it

worksThe

10x

marketingmanagerA

marketing

manager’s

job

used

to

be

aconstant

scrambleofdraftingposts,

pullingdata,and

watchingcompetitors.In2026,they

can

orchestrate

a

system

of

specializedAI

agents

to

achieve

their

goals,ratherthan

performing

every

task

personally.With

agents

focusing

on

specific

tasks,

themarketing

manager

can

multiply

their

outputby

focusing

onhigh-impactbrand

storytellingand

strategic

campaign

development. Ask

anything,search

your

data,@mention

or/tools+GooglesearchcalendarDriveGmai

Ask

the

report

Google

cloud

111Agents

for

every

employee

2Enableall

connectors

An

example

of

a

Gemini

Enterprise

home

page

Manageconnectors3453Data

agentThis

agent

can

sift

through

millionsof

structured

andunstructureddatapoints

to

find

actionablepatterns

in

market

trends.Content

agentGiven

a

strategic

theme

for

the

week,

the

agent

drafts

copy

for

several

social

mediaposts

and

ablogarticle

in

thecompany’s

brand

voice,

then

shares

itwith

the

marketing

manager

for

review.Reporting

agentThis

agent

connects

to

the

company’s

analyticsplatforms.

With

themarketingmanager’s

guidance

and

oversight,this

agent

pulls

and

analyzes

weeklycampaign

data

and

delivers

a

onesummary

of

key

insights

every

Friday.Analyst

agentIts

jobistomonitormarket

trends,

competitor

announcements,

andsocialmedia

sentiment24/7.Itdeliversa

one-page

report

of

key

insights

to

themarketing

manager’s

inbox

every

morning.Creative

agentThemarketingmanager

supplies

theagent

with

a

marketing

strategy,creativeguidelines,and

social

copy.

The

agentthengeneratesimages

and

videosto

accompany

those

socialposts

andshares

them

with

themarketingmanager.The

marketing

manager’s

specialized

agent

systemTheir

new

role

involves

orchestrating

five

specialized

agents:

Ask

the

report

Google

cloud

12Data

tipTeams

can

use

data

agentsasanintelligencemultiplier.1Agents

for

every

employee

2Learnmore345Suzano,

the

world’s

largest

pulp

manufacturer

andaleaderin

sustainablebioeconomics,

worked

with

Google

Cloud

and

Sauter

to

develop

an

AI

agentbuilt

with

Gemini

Pro

to

translate

natural

languagequestionsinto

SQL

code

to

query

SAPMaterials

dataonBigQuery.

Thishasresultedina95%reductionin

the

time

required

for

queries

among

the50,000employees

using

the

data.Ready

to

10xyour

team?GeminiEnterpriseenablesemployees

to

build

and

managetheir

own

specialized

AI

agents. Try

now

Ask

the

report

Google

cloud

131Agents

for

every

employee

2suzc

no34566There

is

a

common

misconception

that

agentsact

without

control.Humans

will

remain

theorchestrators

and

final

decision-makers.Agents

will

function

aspowerful

assistants

to

augmenthuman-centric

workflows.Take

the

media

and

entertainment

industry,where

agents

can

help

in

the

understandingof

vast

amounts

of

complex

content

and

data

—and

human

creative

and

strategic

thinkingwillremain

critical

to

deciding

which

storiesto

tell,how

to

tell

the

stories,how

to

fund

anddistribute

andmonetize

andmarket

thesestories,compliance,rights

management,andof

course,

where

not

to

invest

time

and

effort.”

Albert

Director,

Telco,Media&

Technology,

Global

StrategicIndustries,

Ask

the

report

Google

cloud

141Agents

for

every

employeeLaiGoogle

Cloud3245

Ask

the

report

Google

cloud

15Running

yourbusiness

withgroundedagenticsystemsAgents

forevery

workflowTrend

2134566AI

is

driving

a

generational

refactoring

of

theenterprise—the

core

workflows

and

the

entiretechnology

stack.

AI

agents

will

transformcomplex,multi-step

processes

like

procurement,

security

operations

and

customer

support—shifting

the

human

roles

to

focus

on

high-value,

strategic

orchestration

across

thebusiness.”

Francis

COO

andPresident,

SecurityProducts,

Google

Cloud3

Google

Cloud,

TheROIof

AI,2025(Agentic

AIearlyadopters:n=460;

Questiontext:In

whattimeframedo

you

expect

gen

AI

to

deliver

return

on

investment(ROI)

to

the

following

areas

of

your

business?)An

agentic

system

is

a

digitalassembly

line—a

human-guided,

multi-step

workflow

that

orchestrates

multipleagents

to

run

a

business

process

end

to

end.The

true

value

in2026begins

withaugmenting

thecapabilitiesofindividualsand

teams,and

continues

to

grow

bymaking

the

entire

business

run

moreintelligentlyandefficiently,24/7,

at

scale.

earenow

seeingapositiveROIon

at

least

one

gen

AI

use

case3deSouza

Ask

the

report

Google

cloud

162Agents

for

every

workflow3145centers

toinform

customers

of

a

techniciandispatch,

all

in

one

integrated

sequence.”

AngeloLibertucciDirector,

Telecom,Global

StrategicIndustries,

Google

Cloud66

Thereal

value

willlieinusingagenticworkflows

tointegrate

siloed

functions,

such

asnetworkoperations,

fieldservices,

and

customer

contact

centers

in

telecommunications.

Agents

couldautonomouslyremediatenetworkanomalies,proactively

open

a

ticket

withthe

field

service

systems,

and

alert

contact

Ask

the

report

Google

cloud

1712

Agents

for

every

workflow345Digital

assembly

line:Orchestrating

agenticsystemsWhile

LLMs

are

the“brains”of

these

agents,they

have

two

major

limitations:

their

knowledgeis

frozen

at

the

time

of

their

training,and

theycan’tinteract

with

the

outside

world

to

access

real-time

data

orperform

actions.The

Model

Context

Protocol(MCP)

solves

this.

It

creates

a

standardized,

two-way

connectionfor

AI

applications,allowing

LLMs

to

easilyconnect

with

various

data

sources

and

tools,such

as

managed

databases(e.g.,

Cloud

SQL,

Spanner)anddataplatforms(e.g.,

BigQuery).A

digital

assembly

lineis

made

possible

by

theAgent2Agent

(A2A)

protocol.Thisopen

standardenables

seamlessintegration

andorchestrationbetweenAIagents,allowing

them

to

work

togethereven

if

they

are

from

different

developers,

builtondifferent

frameworks,

or

owned

bydifferent

organizations.

Ask

the

report

Google

cloud

1812

Agents

for

every

workflow345Elanco,a

global

leader

in

animal

health,uses

Geminimodels

within

its

Elanco.ai

platform

to

automaticallysort,extract

key

insights

from,compare,

andrestructure

information

from

over2,500unstructuredpolicy

andprocedure

documentspermanufacturingsite.

The

AI

agent

improves

accuracy

and

consistency,

reducing

therisk

of

outdated

or

conflictinginformationthat

could

cost

up

to

$1.3million

in

productivityimpact

atlarge

sites.Data

tipDiscoverhow

yourdata

teamscan

ground

AI

in

your

business

data.Salesforceis

working

with

Google

Cloud

to

create

AI

agents

that

work

acrossbothplatformsusing

thenewly

launched

Agent2Agent(A2A)open

protocol,a

leap

forward

in

building

an

open,

interoperablefoundation

for

agentic

enterprises.

Ask

the

report

Google

cloud

1912

Agents

for

every

workflowTMGet

started345agent

to

showcase

thedetails

andpricingon

aspecificproduct

shownin

streamed

orbroadcastcontent.

Similarly,

AIagentsathospitalscouldwork

directly

with

labs

or

insurance

agents,

provided

thepatientgrantspermission

tohandle

their

sensitive

health

data.”

MarcelAI

GTM&

SalesLATAM,

Google

Cloud66Over

the

next

few

years,

we

will

see

significantgrowthin

Agent2Agentoperationsimplementedacross

industries.For

example,an

AI

agent

froma

media

company

could

connect

to

a

retailer’s

Ask

the

report

Google

cloud20Silva12

Agents

for

every

workflow345How

it

worksAgentic

ecommerceToday’s

payment

systemsassume

a

human

is

directlyinitiating

the

purchase.This

poses

a

fundamental

challenge

forsecurity:

What

happens

when

a

non-humanentity(the

agent)is

making

the

final

transactiondecision,

with

pre-approval

from

a

human?An

agent

initiating

a

payment

with

a

human’soversight

and

guidance

under

a

new

frameworklike

Google

Agent

Payments

Protocol(AP2)breaks

this

assumption.

This

raises

criticalquestions

abouthow

toproveuser-givenauthority

for

a

purchase,how

a

merchantcan

be

sure

an

agent’s

request

is

accurateandnotahallucination,and

whois

ultimatelyaccountablein

case

of

fraud.Al

agentin

action

Ask

the

report

Google

cloud

2112

Agents

for

every

workflow345PayPaliscreating

agenticshopping

and

commerceexperiences

through

adoption

ofindustryleadingprotocols

such

as

Google’s

AgentPaymentsProtocol(AP2),a

secure,open,

scalablesolutionpaving

the

way

for

the

future

of

agentic

commerce.For

example,a

customer

discovers

a

winterjacket

they

want

is

unavailable

in

a

specificcolor.

Theycan

then

tell

theiragent:“Purchase

this

jacket

when

it

becomes

available

in

black.Don’t

purchase

it

if

the

priceis

more

than

$100.”The

agent

then

monitors

prices

and

availabilityand,

with

human

pre-approval,executes

asecurepurchase

themoment

that

specificvariant

is

found,capturing

a

high-intent

salethat

would

have

otherwise

been

lost.Try

Vertex

AI

Ask

the

report

Google

cloud

2212

Agents

for

every

workflowGet

started34566

In2026,agentic

ecosystems

will

scalefrompilots

toproductionin

financialservices.For

example,

we’ll

see

multi-stepagentic

compliance

systems

that

canmonitor

regulatory

changes,identifyimpacted

policies,update

internalworkflows,

andcreate

acomplete

auditchain,making

the

process

more

efficient.”

TobyBrownManaging

Director,Financial

Services,Global

StrategicIndustries,

Google

Cloud

Ask

the

report

Google

cloud

2312

Agents

for

every

workflow345

Ask

the

report

Google

cloud

24Delightingcustomers

withconcierge-likeexperiencesAgents

foryour

customersTrend

3124566Current

call

center

automation

systems

requirecallers

to

go

through

scripted

options

orpre-

programmed

chats,

oftenrequiring

them

torepeat‘operator!’to

reach

a

human.

Agentsallow

forquicker,morenaturalinteractionbylettingcustomers

speak

andprovidecontext.

Thisreturn

to

verbalcommunication

willbe

arealityinthenext

1–3

years.”

PaulTepfenhartDirector,Retail&

Consumer,Global

StrategicIndustries,

Google

Cloud4

Google

Cloud,

TheROIof

AI,2025(Executives

whoseorganizationisleveragingagentic

AI:n=1814;

Question

text:

Whatusecaseshas

yourcompanydeployed

AIagents

for?)For

the

last

decade,

customer

service

automation

meantpre-programmed

chatbotsanswering

simple

questionsand

deflecting

support

tickets.They

were

efficient,but

they

lacked

the

ability

tounderstand

more

nuanced

and

complex

questions.With

advances

in

LLMs

andA2A,2026

will

delivermore

helpful

concierge-style

agents.

These

AIagents

will

connect

enterprises

and

customersby

rememberingpreferences

andpast

conversations

to

offer

truly

one-to-one

experiences.

with

AI

agents

in

productionreport

adopting

agents

forcustomer

service

and

experience4

Ask

the

report

Google

cloud

253Agents

for

your

customers1245HomeDepotbuiltMagicApron,an

AI

agent

thatoffers

expert

guidance24/7,providingdetailedhow-toinstructions,product

recommendations,

andreview

summaries

tomakehomeimprovement

easier.Your

customer

no

longer

has

to

start

every

conversation

by

proving

who

they

are

or

re-explaining

their

problem.

Chatbot“Please

enter

your

12-digitorder

number.”“Hi,Elizaveta.I

see

you’re

calling

about

the

blue

sweater

youbought

last

week.

Our

system

shows

it

was

just

delivered.Are

you

calling

to

start

areturn

or

an

exchange?”Thedifferenceisn’t

just

the

AI,it’sthe

data.

The

agentic

concierge

can

succeedbecauseit

is

grounded

in

an

enterprise

context

youchoose

to

share

for

aparticular

customer—

frompurchasehistoryin

the

CRM

topackage

trackingin

thelogistics

database.

Agentic

conciergePersonalization

at

scale

Ask

the

report

Google

cloud

263Agents

for

your

customers412566

Personalization

extends

beyond

consumer

experiences.

On

themanufacturing

floor,

for

example,

agentic

systems

could

offerpersonalized

advice

to

managers.If

thesecond

shiftunderperforms

the

first,

the

system

couldinspectmultiplemachinecriteria

and

suggest

solutionslikeoffering

more

trainingorrecommendingoptimal

machine

setpoints.”

PraveenDirector,Manufacturing,

Ask

the

report