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BCG
HENDERSON
INSTITUTE
SCENARIOS2050BeyondTomorrow:FourScenariosforthe
Worldof
2050April2026By
Nikolaus
Lang,Alan
Iny,
Ulrich
Pidun,
MelissaChristensen,
JeffreySprong,andAdam
Job28
Chapter52050
Scenario:Digital
Darwinism35
Chapter6How
PotentialShocksMayAffectthe
Future38
Chapter
7Five
Low-Regret
Moves40
Appendix
1Howto
Usethe
Scenarios41
Appendix
2Methodologyand
SourcesPrefaceChapter
1Imagining
2050Chapter
22050
Scenario:AIAbundanceChapter32050
Scenario:Battling
BlocsChapter42050
Scenario:ClimateCoalition0304071421ContentsFor
leaders
balancingachallenging
presentwith
near-term
uncertainty,theworldof2050canseem
remote.
Butconsideringthefuturecan
reveal
lessonsfortodayandprovide
pathwaysto
long-termcompetitiveadvantage.The
decisions
leaders
makeoverthe
next5yearswillshapethe
next
25.Inthis
report,wesetoutfourdistinct
scenariosfor
2050
that
push
boundaries
but
remain
plausible.
Unlike
many
scenarioexercises,whichareoften
limitedtospeculative,
“whatif”questions,ourfour
possibilitiesare
basedon
a
detailedquantitativeanalysisofa
hundred
megatrendsandacenturyofhistoricaldata,
aswell
as
dozens
of
interviewswithglobalexpertsontopics
rangingfrom
macroeconomicstospaceengineering.Inaddition,weexplorewhatitwouldtakefororganizationsto
thriveinthesescenarios—andconsider
how
bestto
prepare
todayforthechallengesandopportunitiesthey
present.This
reportandthescenariosaretools
notfor
predictingthe
future
butforengaging
proactivelywithit.
Byconsideringmultiple
possiblefutures,
leaderscanidentifyearlywarning
signsandtactical
movesthatwill
build
resilienceandsecure
advantageinthefaceofuncertainty.PrefaceBEYOND
TOMORROW:FOUR
SCENARIOS
FOR
THE
WORLD
OF20503Butforotherstrategically
relevantdimensions,awiderangeof
outcomesare
possible.Today,AIis
booming—but
whatwillitsevolutionandgovernance
bring?Geopolitical
andtradefrictionsare
rising—willtheyintensifyorease?
Inequalityiswidening—what,if
anything,willgovernments
doto
addressit?To
help
leaders
navigatesuch
unknowns,wedevelopedfour
scenariosthat
represent
possibilitiesfortheworldof2050.(SeeAppendix1forsuggestionson
howto
usethescenarios.)Ourscenariosare
notforecasts,
nordotheyattemptto
predicttheunpredictable—blackswanshocks,suchastheemergenceof
theSingularityorawarinspace,
thatare
notvery
likelyandwould
representsignificantdiscontinuities.(Seechapter6foradiscussionoflow-probability,
high-impact
potentialevents.)
Rather,ourscenarios
providetangible
potentialeconomicenvironments
forimaginingstrategy.
It’sa
powerfulexercise:acrossthefourscenarios,thespreadof
outcomesisstaggering.The
only
unacceptablestrategy?
Planningfor
justonefuture.Whatwilltheworld
be
likein
2050?ForCEOstoday,thisquestion
mayfeel
unfamiliar,
perhaps
even
uncomfortable.Accustomedtothe
rhythmof
five-year
plansandquarterly
results—punctuated
bythe
need
to
respondto
present-daycrises—looking
morethantwodecadesintothefutureisfarfromcommon
practice.While
thisis
understandable,it’salsocriticalthat
leadersmaintaina
long-termview.Overa
25-yeartimeframe,sometrends—such
asdemographicshifts—are
relativelyeasytoforecast.ThepopulationsinChinaand
manyof
theOECD
(Organization
for
EconomicCo-operationand
Development)countriesareagingfast,especiallycomparedwiththoseof
AfricaandtheGlobalSouth.And,givencurrenttrajectories,it
will
beawarmerworld,with
morefrequentand
extremeweathereventsandstressonfood
andwater
systems.CHAPTER1Imagining20504BOSTON
CONSULTING
GROUP
|BCG
HENDERSON
INSTITUTEAIAbundance.Theexplosive
riseof
AItechnologieseventually
leadstoglobalcooperation
onstrict
regulatorystandards—enablingexceptional
productivitygrowth,
plentiful
low-
carbonenergy,andgovernmentsthat
prioritize
stabilityoverindividual
liberty.ClimateCoalition.Anonslaughtof
extreme
weathershocksdrives
nationsto
prizeresilienceover
unbridledeconomicgrowth—
anda
multilateralagreement
on
carbonstandards
unlocksgreeninnovationandinfrastructure
buildout.Digital
Darwinism.Withgovernmentsandinstitutionsin
retreat,corporationsdominatealow-regulation,
rapidlywarmingworld.
Inequalitysoars,withworkincreasinglytaking
placeinthegig
economy,while
huge
leapsare
madeforthewealthyin
bionicsand
longevitytechnology.Battling
Blocs.Theworldtransitionstoatensestalemateamongeconomicallydecoupledandmutuallydistrustful
blocs.
Internationaltradeand
cooperationdecrease,whiledefensespending
rises
dramaticallyas
nationalgovernmentscentralizepowerandcontrolof
critical
resources.movesshould
be
madeintheshortand
mediumterms
to
best
positiontheirorganizationtosucceed.Ourdevelopment
process
resultedinfour
uniquescenarios
thatweexploreindetailin
this
report:Eachscenario
representsacomprehensive
pictureofaworldinwhichwe
may
haveto
liveandoperate.
It
givesleadersanimmersiveenvironmentforstrategic
reflection,
enablingthemtoconsider
howtoday’sassumptionswould
needtoevolve,what
new
riskswouldemerge,andwhatBydesign,
noneof
theseisacomfortable
or
familiarscenario.
Planningforthechallengesof
these
potential
futures
meansaskingdifficultquestions,
buttheanswers
willyield
richer,
more
robuststrategiesforsucceedingin
the
next
25years.Four
Visions
ofthe
FutureBEYOND
TOMORROW:FOUR
SCENARIOS
FOR
THE
WORLD
OF205051.0%Steam,steel,andearlyglobalizationWarandreconstructionPostwarboom
and
populationsurge4.8%GlobaldigitaleraScenariosera3.4%5.0%4.0%2.5%1.8%Tocreateacomprehensiveviewof
each
scenario’senvironment,wecombined
historicaldatawithforward-lookingassessmentstoextrapolate
how
20critical
metrics
mightevolve
by
2050.TheseincludestandardeconomicstatisticssuchasGDPgrowth
aswell
as
broader
measures
alonggeopolitical,societal,andenvironmentaldimensions.
(Fora
moredetaileddiscussionofmethodology,
seeAppendix
2.)While
notintendedas
precise
projectionsof
thefuture,these
metricsofferaquantitativeviewofhowthescenariosdiffer
bothfromeachother
andfromthepresent.(Foranexampleof
our
approachto
the
metrics
inthis
report,see
Exhibit1.)EXHIBIT1An
Example
ofOur
Methodology
Using
GDP
Growth
OverTimeGLOBAL
REAL
GDP
GROWTH(25-YEAR
BACKWARD
ROLLING
CAGR)Ourscenario-building
processcomprisedextensivemegatrendanalysis,expertinterviews,and
pressuretesting.
Forthe
mostcriticaldimensions—suchastechnologicaldevelopment,globaltradeand
powershifts,
energytransition,andgovernancestructures—weidentifieda
rangeofplausiblefuturedevelopmentsand
exploredtheir
relationships.Wethendeveloped
logically
consistentandcontrastingfutures
bycombining
possible
endpoints—andthese
becameourfourscenarios. Historical
high/low
Current
levelScenario2050endpoints:AI
Abundance
Battling
Blocs
Climate
Coalition
Digital
DarwinismSources:
Maddison
Project;World
Bank;
BCG
Henderson
Instituteanalysis.1850187519001925195019752000202520505.0%4.0%3.0%2.0%1.0%0.0%HowWe
BuilttheScenarios6BOSTON
CONSULTING
GROUP
|BCG
HENDERSON
INSTITUTEWorldGDPgrowth(25-YEAR
BACKWARD
ROLLINGCAGR,
REAL)Globaltrade-to-GDP
ratioGlobaldefensespending(%OF
GDP)Extremepoverty(%OF
GLOBALPOPULATION1975202418505.0%4.8%3.4%1.0%2024187019622024.4%18202025~88%8.0%6.0%57%55%18%CHAPTER22050Scenario:AIAbundanceProductivityis
high,energyischeapand
plentiful,and
theeconomyisthriving.Global
regulationof
AI
has
resultedinasuiteofpowerful,trusted
modelsandsupporting
techstacksthat
have
revolutionizedsectorsincludingenergyandindustrial
R&D.
Newtechnologyand
heavyinvestmentare
requiredto
mitigatedecadesof
ecologicaldamage.Theaverage
personworksafour-dayweek
and
relies
onanexpandedsocialsafety
net.
Here’s
howAIAbundancecompareswith
historical
normsandotherscenariosonfive
key
metrics:Sources:
Intergovernmental
PanelonClimateChange,SixthAssessment
Report;
Maddison
Project;
OECD;
OurWorld
in
Data;
Stockholm
International
Peace
Research
Institute;World
Bank;World
MeteorologicalOrganization;
BCG
Henderson
Instituteanalysis.Globaltemperature(VS.
PRE-INDUSTRIALLEVELS)
Scenario2050
endpoints: AI
Abundance
Battling
Blocs20241900Upper
historical
boundLower
historical
boundBEYOND
TOMORROW:FOUR
SCENARIOS
FOR
THE
WORLD
OF20507+1.3°C~0°C
Digital
Darwinism
ClimateCoalition●
Current
level+2.2°C2.5%2%26...AnAI-PoweredTech
BoomTheAIAbundancescenarioischaracterizedbytech-ledmultilateralism.Superpowersaredeterminedbytheircomputecapabilities.AndAItechnologiesdriveallaspectsof
society,
providingefficiencyand
rapid,adaptableinnovations.Itwasn’talwaysthisway.
Inthe2030s,
aseries
ofsophisticated,AI-enhancedcyberattacksdamagedcriticalinfrastructureandcaused
mass
panic.Thestrikesincapacitated
hospitals,energygrids,andtransportsystems,affecting
morethana
billion
people.
Financialsystems,institutions,andgovernmentoperationswerealso
targeted.Theseattacks,
knownastheComputeWars,cametoanendwiththesigningof
the
Compute
Ledger
Treatyof2035.Thetreatysetstrictstandardsfortransparency,models,data
use,energyuse,andtechstacks—and,critically,established
a
powerfulinternational
regulatoryagencyto
provideoversight,ensurecompliance,andshapefuture
policiesfor
frontierAI
models.These
moves
led,
by2050,toanethicof
openand
responsible
researchacrossthescientificandtech
communitiesthat
radicallyaccelerated
progress.Critically,AI’s
rapidevolution
hassparkedanindustrialand
robotics
revolution.Together,thesetechnologieshavetransformed
manufacturingandservices,whileadvancesin
new
materialsand
robot-led
mining,processing,and
recycling
haveeasedthescarcityof
critical
minerals.AI-driven
breakthroughsinsolar-cell
materials,
long-term
batterytechnology,andgridefficiencyensureplentiful,cheap,
reliable,and
renewable
power.GlobalGDP
has
morethantripledfrom
2025to
2050—a
levelof
economic
performanceakintothe
post–WorldWar
IIboominadvancedeconomiesof
the
1950sto
1970s
but
fueled
bysoaring
productivity,
ratherthan
populationgrowthorglobalization.Work
has
beentransformed.AIand
robots
havedisplaced
muchof
what
people
usedtodo—anderasedthewagepremiumforexpertisein
many
professions.
Employment
opportunities
mostlyfocusonthecaring
professions,AIoversightand
judgment
roles,and
manualtrades,suchas
plumbingandelectricalwork.In
2025,theaverageworkerwasemployedforapproximately
2,100
hours
peryear.
Hoursworkedannually
variedwidely,
however:forexample,approximately2,350annualworking
hoursin
IndiaandChina;1,800inthe
US;and
1,500in
Europe.
Now,theaverage
numberofhoursworkedworldwide
hasfallen
byabout25%,toapproximately
1,600
peryear.(See
Exhibit2.)
Regionalvariationisstillcommon,andinsome
partsof
theworldfour-oreventhree-
dayworkweeksarethe
norm.Withwork
lesscentraltoidentity,
new
lifestylesareemergingas
peoplesearch—sometimes
uneasily—formeaningandidentity
beyondemployment.
However,while
manycountries,especiallyChinaandtheOECD
nations,stillgrapplewiththechallengesof
aging
populations,theefficiencygainsfrom
newtechnology
have
largelyoffsetthe
negativeeconomicconsequences.Healthy
lifeexpectancy
hasincreasedglobally—theaverage
personcan
nowexpectto
live70yearsin
goodhealth—upfrom63in
2024.Theaging
population,
rapid
innovationsintechnology,andwidespread,affordablehealthcarecoverage
meanthat
healthcare
utilization
has
increased—and
healthcarespending
nowclaims13%of
globalGDP(upfrom
10%inthe
2020s).The
reduced
need
towork,coupledwith
universalchildcarethankstoproductivitygrowth,
makesiteasiertochooseto
raisea
family.
Fertility
rates
havestabilizedat
2.15
births
perwoman(downfrom
2.24in
2025).To
preservesocialcohesion,the
benefitsof
technological
progressareshared
beyondcompanyexecutives
andinvestors.
Most
nations
have
robust
programsforincome
redistribution,suchasanexpanded
social
safety
net
or
a
basicincomeforsomecitizens.
Inaddition,the
rise
oflow-costAI,openscience,andthetreatmentof
data
as
a
publicgood
haveenableddeveloping
nationstoaccelerate
theirgrowthandinnovation.Buttherearetradeoffsaswell.
Forexample,
civil
society
is
moreconstrained
becauseof
guardrails
placedondigital
platformstocombat
misinformation.Whilethese
promotesocialcohesion,theyalso
restrictsomeforms
of
personalexpression.The
averageemployeeworks25%fewer
hoursthanin
2025Allowing
peopletospend
more
time
onfamilyand
leisureGlobalGDP
hastripled
by2050,fueled
by
annual
productivitygainsof5.7%8BOSTON
CONSULTING
GROUP
|BCG
HENDERSON
INSTITUTEIndustrialwageworkLabor
rightsand
regulationLaborinclusionandflexibleworkAIabundanceeraCurrent2,100
worldlevel1,600AIAbundance
2050endpointBy
2050,
annualemissions
havefallento
less
thanhalf
their
peakinthe
late
2030sGlobaltemperaturesare
2.2°C
above
pre-industrial
levels20252050A
HotterWorld,Attempting
to
HealGiventheimpactof
continued
highgreenhousegasemissionsinthe2030sand2040s,
averagetemperaturesin
2050
have
reached
2.2°Cabove
pre-industrial
levels,andseveraltipping
points
have
been
breached.
But
human-
generatedemissionsare
nowdroppingfast,andAI-supported
breakthroughsin
new
materialsanddirectcarbon
removal,aswellasa
robustglobalcarbon
market,
arecleaning
uptheatmosphereand
resolvingenergysystemchallenges.
By
2050,annual
human-generatedemissions
havefallento
lessthan
half
their
peakinthe
late
2030s—puttingtheworldonadelayed
butcredible
pathto
netzero
emissions.Plentyof
work
remainsto
bedonein
2050,andsomedamage,inthewakeof
fishstockcollapses,
pollinator
loss,
waterstress,andotherfactors,can
never
be
undone.While
biodiversity
lossisslowing
becauseof
targeted
restoration
andagricultural
reforms,
massivechallenges
remain.
Food
productionis
moreexpensive
becauseit
requiresadditional
laborandtech-driveninnovations(forexample,
precisionagricultureandimprovementsinfoodwaste
management)
tocompensateforwarming-relatedyield
reductionsandthe
lossof
ecosystems.Andwhilethereissomeinternationalcollaborationonclimate
mitigation—especiallyon
phasing
outcarbon-basedfuelsinfavorofrenewables—significant
debateabout
howthecostsofEarth’s
recoverywill
besharedcontinues.EXHIBIT2InAIAbundance,AverageWorking
Hours
Have
Fallen
by
25%in
2050AVERAGEANNUAL
HOURSWORKED
PERWORKER World
India
US
China
Europe1Sources:OurWorldin
Data;
PennWorldTable;
Maddison
Project;
BCG
Henderson
Instituteanalysis.1Europeincludes
Belgium,
Denmark,
France,Germany,
Ireland,
Italy,
Netherlands,Spain,Sweden,Switzerland,
and
UK.3,0002,0001,000018751900192519501975200020252050BEYOND
TOMORROW:FOUR
SCENARIOS
FOR
THE
WORLD
OF205092035Theattacks
broughtsocietytoits
knees,
andgovernments
to
the
table.The
Compute
Ledger
Treatyof2035
required
that
all
AI
models
with
more
than10trillion
parameters
be
disclosed
and
open
to
auditing.It
set
standards
for
data
interoperability,GPUs,andenergy
intensity—and
established
both
a
globalregulatoryagencyanda
new
framework
for
internationalcollaboration
on
organized
cyber-crime
rings.2026–2031Chasing
wealth
and
the
next
technological
edge,AIentrepreneurs
pressedforwardwith
new
models.Governments—seekingeconomicandintelligencebenefits
from
local
AI
champions—refrained
fromregulation.The
result:an
explosion
of
new,energy-hungry
models.The
energy
required
to
trainfrontier
models
doubled
each
year,grids
struggled,power
prices
soared,and
emissions
grew
unchecked.2032–2034AI
rivalry
intensified,
kicking
offa
new
phase:theCompute
Wars.Starting
in
2032,a
series
of
cyberattacks hitcriticalinfrastructure,including
hospitals.The perpetrators,though
never
identified,were
generally assumed
to
be
state
actors,
allied
with
local
groups
in an
attempt
to
slow
the
progress
of
rivals.2041Breakthroughs
in
self-calibrating
hardware,perception
models,dexterous
manipulation,andagenticAIfinally
madegeneral-purpose
robotsareality,transforming
global
industry
and
retailapplications.
Roboticsasaservice
emerged
as
a
dominantindustrial
model,andconsumer
useofrobots
became
common
in
developed
nations.2045AsAItransformedsociety,OECD
nationssought
tostrengthensocialcohesionand
quality
oflife.Theyagreedonacommonframework
to
provide
citizenswitha
personalincomeand
social
support,decoupled
from
employment,and
funded
by
AIproductivity
gains
and
new
taxes
on
automation.2041–2042Continued
ocean
warming
led
to
newfishmigration
patternsandfisherycollapses.
Earlycarbon
market
dividends
began
to
dampen
the impactviacoordinatedinvestmentsin
habitat protectionanda
rapid
buildup
ofaquaculture.2038Ultra-high-efficiencyenergystorageand
near-losslesstransmission
becamecommerciallyviableasa
result
of alternate
battery
materials
and
new
high-temperature superconductors
developed
with
the
help
of
AI.Hospital
PatientsAreCollateral
DamageinEscalatingComputeWarsWestAfrican
NationsRaisetheAlarm
as
Fish
StocksCollapseHaveYou
Got
One
Yet?
Personal
Robots
Go
MainstreamWorld
Leaders
Ratify
Treatyto
BringAI
to
HeelDon’tWorry,
Just
Leave
the
Lights
OnElectric
BillToo
High?BlameAI.YourAI
Dividends
Arein
the
Mail10BOSTON
CONSULTING
GROUP
|
BCG
HENDERSON
INSTITUTEHow
DidWeGet
Here?Macroeconomics
andtechnology1World
GDP
growth
(25-year
backward
rolling
CAGR,
real)
3.4%5.0%2Labor
productivitygrowth(high-incomecountries)
2.0%5.7%3Global
ICTspending(%of
GDP)*
4.0%10%4Digitalservicestraderestrictiveness(index
range0–1)*
0.13
0.02Geopoliticsand
society5Globaltrade-to-GDPratio57%55%R!egionalshareof
worldGDPNorth
America
27%27%6European
Union21%14%China
19%
22%
India
4%
6%
Rest
of
world
29%31%7Globaldefensespending(%of
GDP)
2.4%
2.5%8Democracies(%of
countries)*
49%60%Shareof
wealthheld
by
richest1%of
populationEUUSChinaIndia25%24%935%30%30%30%
40%
35%10Shareof
globalpopulationlivinginextreme
poverty*
6%8%Peopleand
work11Laborforceparticipation
rate
74%80%12Annualhoursworkedperworker2,1001,60013Fertility
rate(births
perwoman) 2.24
2.1514Globalhealthspending
(%of
GDP)
10%13%15Healthylifeexpectancy
(years)
637016Human
happiness
(index
range0–10)* 5.46.5Planet
andresources17Shareofunabatedfossilfuelsinprimaryenergysupply*81%45%18Low-carbonshareof
electricitygeneration*
41%85%19Globaltemperatureincreasevs.pre-industriallevels
+1.3°C+2.2°C20Biodiversity
health
(index
range0–1)*
0.73
0.65 Current
level2050–AI
AbundanceSource:
BCG
Henderson
Instituteanalysis.Note:See
Appendix2for
metrics
methodology,definitions,and
sources.
ICT=information
and
communications
technology.*Select
explanations:3.As
defined
by
IDC
Worldwide
black
book
and
including
hardware,software,and
IT
services.4.
Digital
services
trade
restrictiveness
basedon
OECD
Index
measuring
how
restrictive
a
country’s
regulations
are
for
digitally
delivered
services(0=
no
restriction;
1=
maximum
restriction).8.
Defined
ascountries
rated
a
Liberal
or
Electoral
Democracy
in
V-DemIs“Varieties
of
Democracies”
Report.10.
Extreme
poverty
as
defined
by
SDG1
poverty
line:
below$2.15/day(2017
PPP).16.
Life
Evaluation
Score
from
the
World
Happiness
Report,where
adults
rate
current
life
(0=worst
possible;
10=
best
possible).17.Theproportion
of
total
primary
energy
supply
derived
from
fossil
fuels(coal,oil,and
natural
gas)for
which
emissions
are
not
captured
at
source
through
carbon
captureand
storage(CCS).18.
Electricity
generated
from
renewables,
biomass,and
nuclear
sources
as
a
percentage
of
total
electricity
generated.
20.
Based
on
theInternational
Union
for
Conservation
of
Nature“Red
List
Index”aggregating
the
extinction
risk
of
species(1=
least
concern
for
all
species;
0
=
all
species
extinct).AI
Abundance:This
Scenario
in
NumbersBEYOND
TOMORROW:FOUR
SCENARIOS
FOR
THE
WORLD
OF205011BeforeAI-only
rivalsarise,traditionalincumbents
needtoprepare.
BecomingAI-first
by
leveragingagenticAItoredesignworkflowsandsystemscan
narrowthefuturestructuralandcostadvantageof
this
new
kindof
competitor.
AndwhileAIwilloutpace
humansin
knowledgeandreasoning,other
humanstrengthswill
remainvaluable.
For
example,althoughAI
mayacceleratethegenerationof
ideas
andthescalingof
offerings,
peoplewill
beessentialforagendasetting,taste
making,assessmentof
ideas,and
deliveryof
empathyandauthenticity.Inaddition,
ratherthancompetingwithAI-only
rivals,incumbents
mightalsoseekto
bea
key
partof
those
rivals’
businessecosystems—forexample,
by
playinganinterface
role
betweenthevirtualand
physicalworldsor
byacting
as
thesalesforcein
high-trust
business-to-businesssectors.Digdeeper:WhyCEOs
Needto
PrepareforAI-Only
RivalsIntheAIAbundancescenario,technology
makesthe
riseof
AI-onlyfirms
possible—andthe
businesseconomics
makeit
irresistible.Thesebusinesseswouldtaketheformofnetworks
ofhyperspecializedAIagents,coordinated
byacentralagent
andoperatingentirelywithout
humanemployees.AI-onlyfirmswould
beformidablecompetitors.Theircost
structurewould
be
ultra-low,
largelycomprisingcompute
costs—whichgrow
lessexpensiveeachyear—andenergy,
whichinthisscenarioisabundantand
cheap.They
could
offer
high-quality,always-onservicecombinedwithcontinuous
learningand
unprecedentedadaptability.Someindustriesareexpectedto
beaffected
before
others.
Theslowerdevelopmentofmulti-agentcoordination
andphysical-worldinteraction
meansAI-onlyfirmsare
mostlikelytoemergefirstindigital-nativesectorswith
minimal
physicalinterfaces—suchassoftwaredevelopment,digital
marketing,andalgorithmictrading—wheretaskscan
befullyvirtualized.Strengthen
regulatory
intelligence
and
influence.Getting
readyfora
businessworldgoverned
bystrictmultilateralagreementsontechnologyandcarbon
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