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SuperchargedAIand
theNew
AgeofDisruptionDisrupTech,London
March2026淘宝:汤森严选AmitNayerCo-HeadofUK,EuropeandMEA
Technology,Citi
InvestmentBankingamit.nayer@citi.comYishaiFransisCo-HeadofUK,EuropeandMEA
Technology,Citi
InvestmentBankingyishai.fransis@citi.comAnujGangaharEditor-in-Chief,CitiInstituteanuj.gangahar@citi.comAuthorsTheimage
on
the
cover
depicts
a
a
quantum
computer
cryostat.ContentsForeword
5AutonomousDrivingandHumanoids
7AutonomousDriving:From
Assistance
to
Agentic
.............
7Humanoids
and
Physical
AI:Prototype
to
Practical
............8BuildingtheNextGenerationof
AICompanies
11Integrated
and
agentic
AI
platforms
.........................11Investmentincomputinginfrastructure
.....................11Responsible
AIatScale
.....................................
12GlobalThemesinAIInfrastructureandAdvanced/Quantum
Computing
13Classical
Computing
Approaches
Physical
Limits
............
13QuantumComputingMovesFrom
Theory
toPractice.........
13Convergence:Hybrid
Systems
and
QuantumEnhanced
AI......
14AI,DigitalDefenseandtheFutureofConflict
16Hybrid
Warfareas
theNewBaseline.........................
16Ethical,Political,and
Societal
Considerations
................
17ReinventingClassifiedsandMarketplaces
–theAIRevolution
18TheFutureofPayments
21What’sNextforNeobanks?233
©
2026
CitigroupSuperchargeMe:
AI
and
theNew
Age
ofDisruptionSuperchargeMe:
AI
and
theNew
Age
ofDisruption4
©
2026
CitigroupForewordTechnology
has
always
had
the
power
to
reshape
societies.But
the
currentwaveof
disruption
–drivenbyadvancesinartificialintelligence
–isunfoldingat
dizzying
pace
and
on
an
unprecedented
scale
.Unlikeprevioustechnologicalrevolutions,
whichgenerallytookdecades,AI
is
firing
change
across
industries,institutions
and
societies
in
real
time
.It’s
a
challenge
just
to
keep
up.Rudimentary
task-based
systems
have
already
given
way
to
powerful
modelsthat
can
reason,
generate
content,interact
and
learn
from
vast
stores
of
data.As
these
systems
improve,
they
are
set
to
change
everything:
from
the
way
weworkandcreate
value,
tohow
wemakedecisionsanddeliverservices.It’snoexaggeration
to
say
they
will
fundamentally
change
our
way
of
life
and
challengelong
held
notions
aboutthe
norms
ofthe
human
experience.While
AIisalreadyreshaping
sectorsincludinghealthcare,
finance,
educationandmedia,
the
most
profound
implications
likely
still
lie
ahead.
And
they
will
probablyemerge
frompossibilities
wehave
yet
to
–
or
are
only
justbeginning
to
–imagine.Autonomous
workflows,self-improvinginfrastructure,personalizeddigitalecosystemsand
AI-augmentedhumancapabilitiessuggestafuturein
which
theboundarybetweenhumanandmachineintelligencebecomesincreasingly
fluidandblurred.Thispresents
enormouspotential,including
enhancedproductivity,
scientificbreakthroughs
and
solutions
to
complex
global
challenges.Butit
alsoraisesfundamental
andprofound
questions
about
ethics,knowledge,
governance,
equityand
trust.
We
will
all
wrestle
with
these
issues
in
the
comingmonths
and
years.Thisreport,
which
accompanies
Citi’sDisrupTech
conferencebeinghostedinLondoninMarch,
focuses
on
a
few
areas
of
disruptive
technology,
takingininnovationsthemselves,but
also
the
shifts
they
will
drive.In
doing
so,it
aims
to
provide
aoverview
of
the
transformative
forces
at
play
and
the
considerations
requiredtonavigate
this
exciting
and
challengingnew
age
of
intelligence.YishaiFransisand
AmitNayerCo-HeadsofUK,Europe
andMEA
Technology,Citi
InvestmentBanking5
©
2026
CitigroupSuperchargeMe:
AI
and
theNew
Age
ofDisruption6
©
2026
CitigroupSuperchargeMe:
AI
and
theNew
Age
ofDisruptionAutonomousDriving
andHumanoidsTwo
of
thebiggest
technological
shifts
gainingmomentum
today
are
autonomousmobility
and
therise
ofhumanoid
andphysical
AI-enabledrobots.
Theyrepresenta
structuralinnovation
cycle
with
far-reachingimplications
forproductivity,demographics,
capital
allocation,labor
markets
and
competition.AutonomousDriving:FromAssistancetoAgenticAutonomous
driving
is
moving
from
advanced
driver
assistance
systems
towardagentic,action
taking
AI,capable
of
independently
perceiving,deciding
andcompletingcomplex
tasks.Threecore
forcesareat
work:•AIsophisticationandmultimodalperception:
Theability
for
AI
tointegratevision,language,decision
making,and
motion
control
in
real
time
isaccelerating
autonomy
in
mobility
systems.•Data
availability
and
simulation:
Virtual
environments
are
increasingly
crucialfortraining
self-driving
models
at
scale,shortening
development
cycles
andimprovingsafety.•Policy,infrastructure
and
labor
economics:Autonomous
driving
is
seen
asapotentialsolution
forlogisticsinefficiencies,
withlaborsubstitutionakeymacroeconomic
narrative.220200180160140120100806020242025Figure1.Globalautonomousvehicle
marketsize(2024-2030)7
©
2026
CitigroupSuperchargeMe:
AI
and
theNew
Age
ofDisruptionMarketsize(USDbillionS)Source:GrandView
Research20302028202920262027Whiletimelines
remain
a
point
of
debate,investment
is
being
driven
by
theconviction
thatautonomy
willreshapesupplychains,
transportationnetworks
andproductivity,
with
the
greatest
focusonplatforms
thatcanconvertagentic
intelligenceintoreal-worldreliability.HumanoidsandPhysicalAI:PrototypetoPracticalHumanoids
–robots
designed
to
move,interact
and
perform
tasks
in
humanenvironments
–are
shifting
rapidly
from
research
prototypes
to
commercialplatforms.CitiInstituteanalysishighlightsprojectionsofhundredsofmillionsof
humanoids
in
the
global
workforce
by2050,supported
by
declining
costs
andrising
capability.
Their
emergence
has
three
important
drivers:•Technologicalreadiness:
Advanced
AInowenablesrobots
tosee,learn,move,
talk
and
act
with
greater
dexterity.Some
can
perform
fine
motor
taskspreviously
thoughtunattainable
formachines.•Demographic
and
labor
pressures:
Aging
populations
and
persistent
shortagesinlogistics,care,constructionandhospitalityamplifydemand
forroboticlaborsubstitutesandcomplements.•Economic
scalability:
As
hardware
and
training
costs
fall,humanoids
evolvefrom
niche
uses
to
general
purpose
labor
platforms.Citi
Institute1
analysispoints
toamulti-trilliondollarhumanoidmarketbymidcentury.Figure2.Robotunitnumberforecastbytype4,5004,0003,5003,0002,5002,0001,5001,0005000
Autonomous
vehicles
Domestic
cleaningrobots
.
Humanoids
Automated
guided
vehicles
and
autonomousmobilerobots.
Drones203220332034203520362037203820392040
Caringrobots
Commercial
cleaning
robots204220432044204520462047204820492050●Food
and
grocerydeliveryrobots
Food
servicerobots202320242025202620272028202920308
©
2026
CitigroupSuperchargeMe:
AI
and
theNew
Age
ofDisruptionSource:Citi
GPS20412031Investmentis
focusedon
theconvergenceof
software-definedrobotics,multimodal
AIandlow-costsensing.
Thestrategicimplicationis
thathumanoidsmay
become
as
important
to
physical
labor
as
the
microprocessor
was
tocomputation,enabling
entirely
new
industries
and
service
models.Autonomous
driving
and
humanoids
share
a
unifying
theme:embodied
AImigrating
fromdigitalenvironmentsinto
thephysical
world.
Theinvestmentnarrative
now
centers
on
which
ecosystems
–software,compute,simulation,safety
and
deployment
platforms
–
will
achieve
scale
advantages
as
autonomypermeates
mobility,industry
and
daily
life.RelatedReading
fromCitiInstituteThe
Citi
Institute
Podcast:
TheAutonomousEdge(Agentic
AI)
–Discussion
of
autonomous,
actiontaking
AI
systemsrelevant
to
theevolution
of
self
directed
machines,
includingmobility
applications.TheRiseof
AIRobots(CitiGPSReport)
–Insightsintothe
drivers
of
physical
AI
adoptionand
themacroeconomic
forcesbehind
robot
labor.TheRiseof
AIRobots
–Humanoids
AreComing
for
You–
Adeepexplorationof
the
growth
trajectoryfor
humanoids
and
physical
AI.The
Citi
Institute
Podcast:
The
RiseofAIRobots
–Dialogueon
simulation,dexterity,and
globalrobotics
ecosystems.9
©
2026
CitigroupSuperchargeMe:
AI
and
theNew
Age
ofDisruption10
©
2026
CitigroupSuperchargeMe:
AI
and
theNew
Age
ofDisruptionBuildingtheNext
Generationof
AI
CompaniesAcross
globalmarkets,anew
waveof
AIdrivensoftwareplayersisemerging,reshaping
the
digital
economy.Several
themes
define
the
ambitions,constraintsandmarketsentimentaround
these
firms.IntegratedandagenticAIplatformsOnedefining
themeis
theshift
fromnarrow,specialized
AI
tools
towardbroadplatforms
capable
of
reasoning
across
text,images,audio
and
structured
data.Enterprises
are
moving
away
from
isolated
AI
deployments
and
toward
integratedsystems
thatcombine
generative,agenticanddomain-specificintelligence.
Thiscapability–
where
models
can
ingest
and
combine
diverse
inputs
–is
acceleratingthepaceat
whichnewusesemergeandscale.Agentic
AI,in
particular,is
seen
as
a
breakthrough,enabling
autonomous
taskexecution,higherorderdecisionmakingandself-improving
workflows
thatexpand
farbeyond
traditionalproductivity
gains.InvestmentincomputinginfrastructureAI’s
explosiveriseisunderpinnedbymassiveinvestmentsin
computeinfrastructure,networking
and
datapipelines.
Analysis
from
CitiResearch
suggeststhat
capital
expenditure
on
AI
infrastructure
is
already
surpassing
hundreds
ofbillions
of
dollars
annually,
easing
earlier
capacitybottlenecks
andimprovingreturn
oninvestment
as
enterprise
deployments
shift
frompilots
toproduction.2Theinfrastructureraceisnotonlyaboutrawcomputingpower
–itinvolvesdesigningarchitecturesthatsupportreliablereasoning
,modelfinetuningand
continuousimprovement.AI
is
also
accelerating
a
rethink
of
the
enterprise
technology
stack
–
much
likecloudcomputingandSaaSdidin
thepreviousera
.Businessesareredesigning
workflowsaround
AInative
tools,automatingroutine
tasks,augmentingdecision
making
and
embedding
real
time
intelligence
into
customer
facing
andoperational
systems.As
organizations
adopt
AI
across
functions
–
from
operations
to
treasury
tocustomer
service
–it
becomes
clear
that
success
will
require
the
ability
to
combinescale
with
rigorous
governance,
data
quality
and
structured
change
management.11
©
2026
CitigroupSuperchargeMe:
AI
and
theNew
Age
ofDisruptionResponsibleAIatScaleAcrossglobalinstitutions,responsible
AIframeworksarebecomingessentialas
deploymentsscaleacrosstensof
thousandsof
employeesandacrossmarkets.
Organizationsarebuildingguardrailsintodesign,trainingandexecutionto
ensure
transparency,risk
controls
and
safe
outputs.
These
governancestructures
willbecomecompetitivedifferentiatorsas
AIsystemsmoveintoeven
higher-stakeenvironments.Of
course,successisnotbuilton
technologyalone
–itrequireslargescaleworkforce
adoption,
training
and
cultural
change.
AI“champions”need
to
beembedded
across
organizations,
while
continuous
user
feedback
loops
andupskilling
can
accelerate
adoption
in
global
enterprises.As
adoption
reaches
critical
mass,
AI
driven
productivity
gains
are
expected
tocontributesignificantly
toeconomic
growth,
thoughbenefitsdependoneffective
integration,not
justavailabilityof
tools.The
rapid
global
rollout
of
AI
capabilities
across
dozens
of
countries
reflectsboth
thescalabilityofmodern
AIplatformsand
thecompetitivepressure
tobuild
AI-firstoperatingmodels.Expansionacrossregionsdemonstrates
that
AIcompaniesof
the
future
willlikelybe
truly
global
–definednot
justbyinnovationhubsbutbybroaddeploymentreachandlocalrelevance.RelatedReading
fromacrossCitiCiti
Research:AI:
The
Information
Era’s
Apex
Technology
–on
AIindustryeconomics,infrastructure
investment,
andlong
term
forecasts.The
AI
Revolution
–Unlock
YourPotential
–on
generative+agenticAIininvestmentmanagementand
organizationalstrategy.Citi
Research:
E48:Productivity
&The
AI
Revolution
–on
macro
implicationsandproductivitycyclesinAIadoption.Evolution
of
AI
at
and
Citi–on
multimodalAI
and
enterprise
governance.12
©
2026
CitigroupSuperchargeMe:
AI
and
theNew
Age
ofDisruptionGlobalThemesinAI
InfrastructureandAdvanced/Quantum
ComputingThe
globalbuild
out
of
AI-readyinfrastructure
and
the
acceleratingmaturation
ofadvanced
and
quantum
computing
are
game
changing
for
the
technological
andeconomiclandscape.Threeinterlocking
themesdominatesentimentandlong-termstrategicpositioning:
thephysicallimitsof
classicalcomputingand
theneed
fornew
architectures,
theinfrastructuralintensityof
AIscale-upand
thedisruptive
trajectoryof
quantumcapability.ClassicalComputingApproachesPhysicalLimitsForhalfa
century,
classical
computingbroadly
followedMoore’sLawby
doubling
the
number
of
transistorsper
chip
every
two
years.But
those
gains
arenowplateauing
as
transistorminiaturizationnears
itsphysical
threshold.
CitiInstitute
analysishighlightsthat
computing
is
“at
an
inflection
point”,3
with
classical
architectures
no
longerdelivering
the
step
function
efficiencyneeded
for
emerging
workloads
such
aslarge-scale
AI
training
and
high-fidelity
simulations.This
stagnation
is
pushing
governments
and
enterprises
to
diversify
computingroadmaps
toward
specialized
accelerators,neuromorphic
designs
and
quantum-
adjacenthybrid
systems.
The
shiftis
structural,
withlong-termimplications
forglobalinfrastructure
spending,
supply
chains
and
the
tech
strategies
ofnations.AImodelsrequire
enormous
energy,
compute,
connectivity
and
storage
capacities.Theresultinginfrastructure
stack
–
from
data
centers
andhighbandwidthnetworks
to
specialized
chips
andpower
systems
–isincreasingly
viewed
as
criticalnationalinfrastructure.Market
sentiment
seems
tobe
shapedby
expectations
that
computescarcity
and
energy
or
capital,
willbetheprimary
constraint
on
AIprogress.QuantumComputingMovesFromTheory
toPracticeQuantumcomputingisnowtransitioningfromscientificexperimentation
tocommerciallymeaningfuldevelopment.CitiInstitutehasoutlinedhow
quantumsystemsareadvancingata“doubly
exponential”rate,potentially
enablingtasksthatexceedclassicallimitsinoptimization,simulation,machinelearningandcryptography.13
©
2026
CitigroupSuperchargeMe:
AI
and
theNew
Age
ofDisruptionRecentCitiInstitutereports(seerelatedreading)have
emphasized:•Quantum’s
capacity
to
transform
industries
like
logistics,drug
discovery,materials
science
and
cybersecurity.•Therapid
timeline
towardlogicalqubitsand
fault
tolerantarchitectures,
withsome
forecasts
suggesting
quantum
systems
may
be
powerful
enough
tochallengeexistingencryptionstandards
withina
few
years.•The
policy
urgency
around
post-quantum
cryptography,as
regulators
globallybegin
mandating
readiness
and
migration
planning.This
creates
a
dual
track
narrative:quantum
as
both
a
catalyst
for
economicvaluecreationandadriverof
systemiccybersecurityriskthatrequiresimmediateattention.Convergence:HybridSystemsandQuantum
EnhancedAIThe
next
wave
of
innovation
will
likely
emerge
from
hybrid
models
that
integrateclassical
compute,
accelerators,
and
quantum
subsystems.
This
convergencepositions
quantum
not
as
a
replacement
but
as
a
capability
multiplier
for
AI
andother
compute-intensive
applications.Strategically,
thisispushing
corporates,markets
and
governments
towardlonghorizoninvestmentsin
talent,R&D
and
security
frameworks
designed
to
operateina
post
classical
computing
world.RelatedReading
fromacrossCitiCitiResearch:E47:Quantum
Computing
–Closer
Than
You
Think?
(Podcast)Exploreshybridcomputing,industry
applications,andmilestonestoward
fault
tolerance.Future
of
Quantum
in
Finance
–CitiInstitute
Future
of
Finance
Forum–quantum
risk,post
quantumcryptography,and
regulatoryresponses.QuantumComputing:MovingQuicklyFrom
Theory
toReality
–
CitiGPS,
foundational
framingonlimitsof
classicalcomputing
and
quantum’s
growth
trajectory.Citi
Institute
Future
of
Finance
Forum2025
–Broader
contexton
AIand
frontier
technology
infrastructureshaping
global
finance.14
©
2026
CitigroupSuperchargeMe:
AI
and
theNew
Age
ofDisruption15
©
2026
CitigroupSuperchargeMe:
AI
and
theNew
Age
ofDisruptionAI,Digital
Defenseand
theFutureofConflictArtificialintelligence
and
digital
technologies
areredefining
the
global
securitylandscape,
transformingnot
onlyhow
conflicts
are
foughtbuthow
statesdeteradversariesand
strengthennationalresilience.
Several
themes
stand
out
in
shapingpolicymaker
thinking,investor
sentiment
andlong-term
defenseinnovation
trajectories.HybridWarfareastheNewBaselineContemporary
conflicts
are
increasingly
“hybrid,”
combining
conventional
militaryassets
with
cyber
operations,information
manipulation
and
economic
pressure.According
to
the
Citi
Institute’s
analysis,modern
warfare
extends
“far
beyondtraditionalmilitarypower,”requiring
states
to
developresilience
acrossphysical,digital,
and
societal
domains.
This
evolution
places
AI
enabled
threat
detection,rapid
decision
support
systems
andintegrated
commandnetworks
atthe
center
offuture
defense
planning.A
crucial
themein
global
defense
thinkingis
the
tensionbetween
adopting
cuttingedge
technologies
andmaintainingprovenlegacy
systems.
A
CitiInstitutepodcast4
underscored
theneed
for
a
“layered,
cost
effective
defensemodel”rather
thanreliance
on
any
single
transformative
technology
or
“goldenbullet”.
AsAIpermeatestargeting,
surveillance,logistics
and
autonomous
platforms,
defense
plannersemphasize
redundancy,interoperability
and
multi-domain
flexibility.
This
balancedapproachreduces
systemic
vulnerabilities
that
could
arise
from
over-centralizationon
digital
systems
alone.Cyber
warfarehasbecome
aprimarybattleground,influencingnot
only
thesecurity
sector
but
also
corporate
strategy
and
national
economic
planning.
TheCitiInstitutepodcast
Hybrid
Warfare,
AI
andLeadershipin
an
Age
ofDisruptionhighlights
the
rise
of
cyber
threats
as
integral
to
modern
conflict,requiringpersistent
investment
in
digital
infrastructure,
secure
data
architectures,
and
AIdrivenintrusion
detection
systems.
As
geopolitical
tensionsintensify,informationdominance
–
the
ability
to
secure
communications,
disrupt
adversary
networks
andcontrol
strategicnarratives
–becomesa
decisive
competitive
edge.16
©
2026
CitigroupSuperchargeMe:
AI
and
theNew
Age
ofDisruptionWith
greatpowerrivalryresurging,
governments
are
shifting
fromcounterinsurgency-focusedpostures
toward
conventional
deterrence
and
allianceinteroperability.
TheCitiInstitutepodcast
stressesrenewed
emphasis
onNATOreadinessand
strategicpreparednessinresponse
to
evolving
global
threats.AI-driven
modeling,
wargaming
and
predictive
threat
assessment
tools
areincreasingly
central
to
this
recalibration,informing
defense
allocations
and
shapingpublic
policy
debates
around
sustainable
long-term
security
spending.Ethical,Political,andSocietalConsiderationsBeyondtechnology,nationalresilienceisshapedbypolitical
willandpublicsupport
forsustaineddefensemodernization.
TheCitiInstitutepodcasthighlights
thechallengeofmotivatingleadersandsocieties
toinvestinethicallygrounded
AI
development
and
robust
defense
ecosystems
in
an
era
of
rapidtechnologicaldisruption.5
Issuessuchasautonomous
weaponsgovernance,
datasovereignty,andcivilianmilitary
technologyspillovers
willinfluenceboth
regulatoryframeworksandinvestmentclimates.Overall,
AI
and
digital
defense
represent
structural,long
duration
themestranscendingindustryboundaries.
They
arereshaping
globalriskpatterns,
capitalallocation
priorities
and
geopolitical
power
dynamics
–making
them
essentialfocus
areas
forinvestors
evaluatinglong-term
strategic
exposure.RelatedReading
fromCitiInstituteHybrid
Warfare,
AIandLeadershipinan
AgeofDisruption–
A
comprehensive
exploration
of
hybridconflict,
defense
innovation,
and
the
evolvingmilitarylandscape.17©
2026
CitigroupSuperchargeMe:
AI
and
theNew
Age
ofDisruptionReinventingClassifieds
andMarketplaces
–theAIRevolutionAIisreshaping
classifieds
andmarketplaces
from
staticlistingboardsintoadaptive,intent-driven
matchmakers.Agentic
discovery
is
fragmenting
the
top
of
the
funnel:
AI
assistants
increasinglycurate,
compare
and
transact
onbehalf
of
users,
shifting
traffic
away
fromtraditional
SEOled
flows
toward
conversation
and
task-driveninterfaces.
Thisrewiresacquisition
economics,
weakensbrandprimacyandraises
the
stakes
forinventory
accessibility
via
open
APIs
and
structured
data.6Agains
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