ARK-2024年大创意（英文版）-2024

BIG

IDEAS20241Annual

ResearchReportARKInvestmentManagementLLC.Thisisnotarecommendationinrelationtoanynamedparticularsecurities/cryptocurrenciesandnowarrantyorguaranteeisprovided.Anyreferencestoparticularsecurities/cryptocurrenciesareforillustrativepurposesonly.ThereisnoassurancethattheAdviserwillmakeanyinvestmentswiththesameorsimilar

characteristicsasanyinvestmentpresented.Thereadershouldnotassumethataninvestmentidentifiedwasorwillbeprofitable.PASTPERFORMANCEISNOT

INDICATIVEOFFUTUREPERFORMANCE,FUTURERETURNSARENOT

GUARANTEED.2Risks

Of

Investing

In

InnovationPleasenote:CompaniesthatARKbelievesarecapitalizingondisruptiveinnovationanddevelopingtechnologiestodisplaceoldertechnologiesorcreatenewmarketsmaynotinfact

do

so.ARKaimstoeducateinvestorsandseekstosizethepotentialinvestmentopportunity,

notingthatrisksanduncertaintiesmayimpact

our

projectionsandresearchmodels.Investorsshouldusethecontentpresentedfor

informationalpurposesonly,

andbeawareofmarket

risk,disruptiveinnovationrisk,regulatoryrisk,andrisksrelatedtocertaininnovationareas.Pleasereadriskdisclosurecarefully.RISK

OFINVESTING

IN

INNOVATIONRAPIDPACEOFCHANGEREGULATORYHURDLESPOLITICALORLEGALPRESSURECOMPETITIVELANDSCAPEDISRUPTIVEEXPOSUREACROSSSECTORSANDMARKETCAPINNOVATIONUNCERTAINTYANDUNKNOWNSàAim

for

a

cross-sector

understanding

of

technologyand

combine

top-down

and

bottom-up

research.àAim

to

understand

the

regulatory,

market,

sector,and

companyrisks.

(See

Disclosure

Page)Sources:ARKInvestmentManagementLLC,2023.3BigIdeas

2024DisruptingTheNorm,DefiningTheFutureARKInvest

proudlypresents"BigIdeas2024:DisruptingtheNorm,DefiningtheFuture."

Atraditionsince2017,BigIdeasoffersacomprehensiveanalysisof

technologicalconvergenceand

itspotentialtorevolutionizeindustriesandeconomies.ARKseekstodeliver

long-termcapitalappreciationbyinvestingintheleaders,enablers,and

beneficiariesofdisruptiveinnovation.With

abelief

thatinnovationiskey

notonlytogrowthbut

alsotoresilience,ARKemphasizesthenecessityof

astrategicallocationtoinnovationinevery

investor'sportfolio.Thisapproachaimstotapintotheexponentialgrowthopportunitiesoftenoverlooked

inbroad-based

indices,whilesimultaneouslyprovidingahedgeagainst

therisksposed

byincumbentsfacingdisruption.We

hopeyou

enjoyBigIdeas2024.5194TechnologicalConvergenceArtificialIntelligenceBitcoin

AllocationBitcoin

In

2023344353SmartContractsDigitalConsumersDigital

Walle

ts647587Precision

TherapiesMultiomic

To

ols

&

TechnologyElectric

VehiclesRobotics96104113122133143153RobotaxisAutonomousLogisticsReusable

Rockets3D

Printing5ResearchBy:BrettWintonChiefFuturistARKVentureInvestmentCommitteeMemberTechnologic

alConver

ge

nceSources:ARKInvestmentManagementLLC,2024.Forecastsareinherentlylimitedandcannotbereliedupon.Forinformationalpurposesonlyandshouldnotbeconsideredinvestmentadviceorarecommendationtobuy,sell,orholdanyparticularsecurity.Pastperformanceisnotindicativeoffutureresults.6According

to

ARK’s

research,

convergence

among

disruptive

technologieswill

define

this

decade.Five

major

technology

platforms—Artificial

Intelligence,

Public

Blockchains,

MultiomicSequencing,Energy

Storage,

and

Robotics—are

coalescing

and

should

transform

global

economic

activity.Technological

convergence

could

create

tectonic

macroeconomicshifts

more

impactful

than

thefirst

and

second

industrial

revolutions.Globally,

real

economic

growth

could

accelerate

from

3%on

average

during

the

past

125

years

to

more

than

7%during

the

next

7

years

as

robots

reinvigoratemanufacturing,

robotaxis

transform

transportation,

and

artificial

intelligence

amplifiesknowledgeworker

productivity.Catalyzed

by

breakthroughs

in

artificial

intelligence,

the

global

equitymarket

value

associatedwith

disruptive

innovation

could

increase

from

16%

of

the

total*

to

more

than

60%

by

2030.

As

aresult,

the

annualized

equity

return

associated

withdisruptive

innovation

could

exceed

40%during

the

nextseven

years,

increasing

its

market

capitalization

from~$19

trillion

today

to

roughly$220

trillion

by

2030.*Throughoutthissection,weincludepublicblockchainvalueaspartofallcalculationsandforecastsof“equitymarketvalue.”Sources:ARKInvestmentManagementLLC,2024.ThisARKanalysisisbasedonarangeofunderlyingdatafromexternalsources,whichmaybeprovideduponrequest.Forecastsareinherentlylimitedandcannotbereliedupon.Forinformationalpurposesonlyandshouldnotbeconsideredinvestmentadviceorarecommendationtobuy,sell,orholdanyparticularsecurity.Pastperformanceisnotindicativeoffutureresults.7PublicBlockchainsUponlarge-scaleadoption,allmoneyandcontractslikelywillmigrateontoPublicBlockchainsthatenable

andverify

digitalscarcity

andproofofownership.ThefinancialecosystemislikelytoreconfiguretoaccommodatetheriseofMultiomicSequencingCryptocurrencies

andSmartContracts.Thesetechnologiesincreasetransparency,reducetheinfluenceofcapitalandregulatorycontrols,andcollapsecontractexecutioncosts.InThecosttogather,sequence,andunderstanddigitalbiologicaldataisfallingprecipitously.MplualttfioormmiscwT

eitchhunnopl

orgeiceesdpernotveidd

ea

cr

ec

es

es

sa

rtcohD

N

A

,scientists,therapeuticorganizationsandhealthsuchaworld,DigitalWalletswouldbecomeincreasinglyFive

InnovationPlatformsAreConvergingAndDefining

Thisnecessaryasmoreassetsbecomemoney-like,andcorporationsandconsumersadapttothenewfinancialinfrastructure.Corporatestructuresthemselvesmaybecalledintoquestion.RMNuAl

t,i

opmr

oitcedi

na,

taansdh

odui

gl

idt

aflehe

edailnt

ht

odnaot

av.eCl

aPnrecceirs

icoanreshouldtransformwithpan-cancerbloodtests.ArtificialIntelligenceTcohnerdai

tpiioenssu.

Ms

i

nugl

t

ieommei

rcgsi

ns

hg

oguelndeuendl

oi

tci

nk

ge

tnetci

rhenl

yi

qnueewsComputationalsystemsandsoftwarethatevolvewithdatacansolveintractableproblems,automateknowledgework,andacceleratetechnology’sintegrationintoeveryeconomicsector.TheadoptionofNeuralNetworksshouldprovemoremomentousthanthattargetandcurerarediseasesandchronicPcor

ongsrtarumcmtsawbiltehBaipopl

ol

igcyatciaopnas

baicl

irtoi

es

ss

,

iinndcul

usdt

riinegs

,

t

hedesignandsynthesisofnovelbiologicaltheintroductionoftheinternetandpotentiallycreate10softrilliondollarsofvalue.Atscalethesesystemswillrequireunprecedentedcomputationalresources,andAI-specificcomputehardwareshoulddominatetheNextGenClouddatacentersthattrainandoperateAImodels.Thepotentialforend-usersisclear:aconstellationofAI-particularlyagricultureandfoodproduction.Technological

EradrivenIntelligentDevicesthatpervadepeople'slives,changingthewaythattheyspend,work,andplay.Theadoptionofartificialintelligenceshouldtransformeverysector,impacteverybusiness,andcatalyzeeveryinnovationplatform.RoboticsEnergy

StorageCatalyzedbyartificialintelligence,AdaptiveRobots

canDecliningcostsofAdvancedBatteryTechnology

shouldcauseanexplosioninformfactors,enablingAutonomousMobilityoperatealongsidehumansandnavigatelegacyinfrastructure,changingthewayproductsaremadeandsold.3DPrintingshouldcontributetothedigitizationofmanufacturing,increasingnotonlytheperformanceandprecisionofend-usepartsbutalsotheresilienceofsupplychains.Meanwhile,theworld’sfastestrobots,ReusableRockets,shouldcontinuetoreducethecostoflaunchingsatelliteconstellationsandenableuninterruptibleconnectivity.Anascentinnovationplatform,roboticscouldcollapsethecostofdistancewithhypersonictravel,thecostofmanufacturingcomplexitywith3Dprinters,andthecostofproductionwithAI-guidedrobots.systemsthatcollapsethecostofgettingpeopleandthingsfromplacetoplace.Electricdrivetraincostdeclinesshouldunlockmicro-mobilityandaerialsystems,includingflyingtaxis,enablingbusinessmodelsthattransformthelandscapeofcities.Autonomyshouldreducethecostoftaxi,delivery,andsurveillancebyanorderofmagnitude,enablingfrictionlesstransportthatcouldincreasethevelocityofe-commerceandmakeindividualcarownershiptheexceptionratherthantherule.Theseinnovationscombinedwithlarge-scalestationarybatteriesshouldcauseatransformationinenergy,substitutingelectricityforliquidfuelandpushinggenerationinfrastructuretowardstheedgeofthenetwork.Sources:ARKInvestmentManagementLLC,2024.ThisARKanalysisisbasedonarangeofunderlyingdatafromexternalsources,

whichmaybeprovideduponrequest.Forecastsareinherentlylimitedandcannotbereliedupon.Forinformationalpurposesonlyandshouldnotbeconsideredinvestmentadviceorarecommendationtobuy,sell,orholdanyparticularsecurity.Pastperformanceisnotindicativeoffutureresults.8ConvergingTechnologies

Are

GeneratingA

Historic

Technological

WaveEstimatedEconomicImpactofGeneralPurposeTechnologies(AnnualPercentagePointAdditionstoRealGDPGrowthAndConsumerSurplus)183DPrintingReusableRocketsAdaptiverobotsAdvancedBatteriesAutonomousMobilityCloudComputingInternal

Combustion

EngineElectricity138InternetCellphonesGPSTelephoneRadioRefrigerationAirConditioningAITheWebChemicals&SyntheticPCsBiotechFiberopticsE-CommerceRenewablesMaterialsAutomobileAssemblyLineTelevisionRailroadsTelegraphPhotographyBicycleIntelligentDevicesMultiomicTechnologyPrecisionTherapiesProgrammableBiologyDigitalWalletsSmartContractsCryptocurrenciesIntegrated

CircuitNuclearPowerJetEngineSteamEngineContainerization3-2Sources:ARKInvestmentManagementLLC,2024.ThisARKanalysisisbasedonarangeofunderlyingsources,includingBekaret

al.2017,whichmaybeprovideduponrequest.ThechartusesGPT4promptingtosurveyacomprehensivelistofgeneralpurposetechnologiesusingtheidentificationframeworkdetailedtherein.Whereavailable,academicliteratureisalsousedtoassessattributableeconomicimpact.AGPT-4scoringrubricassessestechnology-by-technologyimpacts.Theimpactmeasureddirectlyismatchedagainstthescoringtotuneallscorestoproducetechnology-by-technologyestimatesofeconomicimpact(evenwhendirectmeasuresofeconomicimpactareunattainable).ConsistentwithGeneralPurposeTechnologytheory,thesetechnologiesareassumedtogothroughaperiodofinvestmentinwhicheconomicimpactisnegativebeforeproductivityadvancesbegintorealizeintoeconomicdata.Alltechnologiesareassumedtohavethesamediffusionandrealizationcycle.Ifrecenttechnologiesareassumedtodiffusemorequickly,thecurrentwavewouldappearsteeper.Forecastsareinherentlylimitedandcannotbereliedupon.Forinformationalpurposesonlyandshouldnotbeconsideredinvestmentadviceorarecommendationtobuy,sell,orholdanyparticularsecurity.Pastperformanceisnotindicativeoffutureresults.AI

ServesAs

The

CentralTechnology

CatalystTheTechnology

Convergencematrixillustratestherelationshipsbetweenandamongtechnologies.Cryptocurrencies9Convergence

ScoreSmartContractsHighestDigitalWalletsPrecisionTherapiesHighMidMultiomicTechnologyProgrammableBiologyNeuralNetworksNextGenCloudIntelligentDevicesLowAutonomousMobilityAdvancedBatteryTechnologyLowestRenewableRocketsAdaptiveRobotics3DPrintingAdvancedCrypto-currenciesSmartContractsDigitalWalletsPrecisionTherapiesMultiomic

ProgrammableTechnology

BiologyNeuralNetworksNextGenCloudIntelligentDevicesAutonomousMobilityRenewableRocketsAdaptiveRobotics3DPrintingBatteryTechnologyCatalyzing

TechnologyMoredetailedversionofthisgraphic,includingdetailedscoringinformationandjustificationavailable

here.Sources:ARKInvestmentManagementLLC,2024.ThisARKanalysisisbasedonarangeofunderlyingdatafromexternalsources,whichmaybeprovideduponrequest.Forecastsareinherentlylimitedandcannotbereliedupon.Forinformationalpurposesonlyandshouldnotbeconsideredinvestmentadviceorarecommendationtobuy,sell,orholdanyparticularsecurity.Pastperformanceisnotindicativeoffutureresults.10AI

Is

Accelerating

Faster

Than

ForecastersAnticipatedExpected

Years

Until

LaunchOfAGeneralArtificialIntelligenceSystem(LogScale)PreGPT-3average10010180yearsOpenAIannouncesGPT-3Googledemonstratesadvancedconversationalagent,LLaMda250yearsChatGPTlaunchestothepublic34yearsGPT-4launches18years8years2019202020212022202320242025202620272028202920

30Sources:ARKInvestmentManagementLLC,2024,basedondatafromMetaculus,includingbenchmarkdetails,asofJanuary3,2024.Benchmarkbroadlyrequiresthesuccessfulpassageofanadversarialtwo-hourTuningtest,broadsuccessonaQ&Aknowledgeandlogicbenchmark,andthesuccessfulinterpretationofandexecutioncomplexmodelcarassemblyinstruction,allwithinasinglesystem.GreenlinesarederivedestimatesfortimetogeneralpurposeAI(stronglyformulated)baseduponforecastsforaweakerbenchmark.Forecastsareinherentlylimitedandcannotbereliedupon.Forinformationalpurposesonlyandshouldnotbeconsideredinvestmentadviceorarecommendationtobuy,sell,orholdanyparticularsecurity.Pastperformanceisnotindicativeoffutureresults.11IndividualTechnology

Advances

Can

Coalesce

AndCascadeIntoMassiveNew

MarketOpportunitiesNeuralNetworksAdvanced

Battery

TechnologyAutonomousMobility+=AdvancedAIenablesrobotaxistorely

onfewer,

lessexpensivesensors.Batteryelectricdrivetrainsreducerobotaxioperatingcostsby60%.ThecombinationofAIandbatteryelectricdrivetrainsenablesrobotaxisystemstoscale.RobotaxiManufacturingCosts(PerVehicle,

2024)*RobotaxiOperatingCostPerMileByDrivetrainTypeAdaptive

Robotics2

00$0.31InadditiontobetterbatteriesandAI,generalpurposerobotswillrequirebetter:15010050•

Electricmotors$0.12•

Power

electronics•

Sensors•

Power-efficient

computeAsrobotaxisscale,thecost

ofeachtechnologyshoulddeclineaccordingtoitslearningcurve.WaymoTesla9CamerasInternal

combustionElectric5LIDARs,29cameras,6radars,8ultrasonicsensors*Waymomanufacturingcostsareestimatedbaseduponpublicstatements.Sources:ARKInvestmentManagementLLC,2024.ThisARK

analysisisbasedonarangeofexternalsources,whichmaybeprovideduponrequest.Forecastsareinherentlylimitedandcannotbereliedupon.Forinformationalpurposesonlyandshouldnotbeconsideredinvestmentadviceorarecommendationtobuy,sell,orholdanyparticularsecurity.Pastperformanceisnotindicativeoffutureresults.12The

ImpactOf

These

Technologies

On

The

Economy

ShouldProve

DramaticEconomicImpactofSelectMajorTechnologies(CumulativeIncreaseInRealGDPAttributabletoTechnologyAfterIntroduction)140%12

0%100%80%60%40%20%0%***Indu

stria

l

robotsIndustrialRobots((11999977

ttoo22000077))Information

Technology(1995

to2005)Adaptive

roboticsAuto

nomou

sMobility(2023

to

2030)SStteeaammeEnnggiinnee((11883300

ttoo11991100))AI(2023

to

2030)AdaptiveRobotics*((22002233ttoo22003300))*AdaptiveRobotics,AutonomousMobility,andAIImpactareARKInvestestimates.AIestimateincludesconsumersurplusesthatmaynotbecapturedintraditionaleconomicstatistics.IT

productivityimpactlikelyalsoundercountsconsumersurplus.IndustrialRobotandIT

impactmeasuresimpactonUS,Europe,andJapaneseeconomies.SteamEngineimpactismeasuredagainsttheUKeconomy.Sources:ARKInvestmentManagementLLC,2024,basedondatafromCrafts2004,O’Mahonyetal.2009,andMcKinseyGlobalInstitute

2017.Forecastsareinherentlylimitedandcannotbereliedupon.Forinformationalpurposesonlyandshouldnotbeconsideredinvestmentadviceorarecommendationtobuy,sell,orholdanyparticularsecurity.Pastperformanceisnotindicativeoffutureresults.13Technological

Innovation

CouldBe

Disruptive

Enough

To

Dominate

GlobalEquity

MarketCapitalizations20232030AnnualGrowthForecastEquity

MarketCapEstimateEquity

MarketCapForecastNon-innovationDisruptiveInnovationTotal$98

trillion$19

trillion$117

trillionNon-innovationDisruptiveInnovationTotal$140trillion$220

trillion$360

trillion3%42%17%MultiomicSequencingArtificiaI

IntelligenceRobotics37%PublicBlockchainsEnergyStorage50%PublicBlockchains48%RoboticsEnergyStorage78%Multiomic

Sequencing39%AINote:Forecastednumbersarerounded.Sources:ARKInvestmentManagementLLC,2024.ThisARKanalysisisbasedonarangeofexternalsources,includingtheWorldFederationofExchangesandtheMSCIACWIIMIInnovationIndexwhichmaybeprovideduponrequest.Forecastsareinherentlylimitedandcannotbereliedupon.Forinformationalpurposesonlyandshouldnotbeconsideredinvestmentadviceorarecommendationtobuy,sell,orholdanyparticularsecurity.Pastperformanceisnotindicativeoffutureresults.ExpectationsFor

Public

Blockchains14Althoughthe

scenariosdescribed

inthe

table

beloware

writteninpresent

tense,

they

are

forecasted,

possible

outcomesbased

onARK'sviews.

These

possible

outcomesmay

not

be

realized

inthefuture

due

to

a

number

of

uncertainties.

The

informationprovided

should

not

be

considered

investment

advice

and

should

not

form

the

basisof

any

investment

decision.Technology2040PossibilitiesARK’s2030Expectationof

ProgressCryptocurrencieshavedisplacedmostpermission-based,centrallycontrolledmonetarysystems,enablingfinancialecosystemstoreformulatearoundadigitalassetthatcan

eliminatecounterpartyriskwhilecontinuingtofacilitatetransactionflows.Thereformulationbeganattheedgesofthetraditionalfinancialsystemingeographieswithbrokenmoneysystemsandinmarketsotherwisemis-servedbytraditionalfinancialintermediaries.Indevelopedmarkets,cryptocurrenciesinitiallyservedasastoreofvalue,providinglittledirectutility.Overtime,theefficienciesofatrulyneutraldigitalcurrency,primarilybitcoin,haveprevailedoverotherfinancialarchitectures.GlobalmoneysupplyhasgrownintandemwithGDP,andcryptocurrenciesnowaccountfor~10%ofthetotal.Littleofthatvalueaccrualisattributabletothedirectdisplacementofmoneythoughthereareinstancesinemergingmarkets.Muchoftheappreciationisafunctionoflowsingle-digitpercentallocationsbyinstitutionalandhighnetworthindividualsaswellascorporateandnation-statetreasuries.Cryptocurrenciescontinuetodisplacegoldasaflight-to-safetyasset,taking40%shareofthemarket.Utilityusecasessuchasremittancesandglobalsettlementsaccountfor~10%and~5%ofvolumes,respectivelyCryptocurrenciesMostcontractshavemigratedtoopen-sourceprotocolsthatenableandverifydigitalscarcityandproofofownership.Risk-sharingarrangementsaremoretransparent,assetsofallsortsaresecuritized,bought,andsoldmoreeasily,andcounterpartyriskshavediminishedsubstantially.Theimportanceoftraditionalfinancialintermediarieshasdwindled,evenasmorehumanactivitybecomescommercialized.Decentralizedprotocols,enabledbybalance-sheet-lightdigitalwalletplatforms,facilitatemosttraditionalfinancialfunctions.Consumerinternetservicesrelyonbusinessmodelsenabledbydigitalassetownership.Everycorporateentityandeveryconsumerhasadaptedascentralizedcorporatestructuresthemselvesarecalledintoquestion.GlobalfinancialassetsaspercentofGDPhavecontinuedtoincrease,withlessthan5%securedbysmartcontractingplatforms—adynamicconsistentwiththeadoptioncurveofdialupinternet.At1%,thegrosstakefromtokenizedassetsondecentralizedprotocolsislessthanathirdofthefeesthattraditionalfinancialinstitutionsextract.Applicationprotocols,whichpayalargershareoffeestoincentivizenetworkparticipants,accountfor75%ofgrossdecentralizedprotocolrevenues.TheblendednettakeratebetweenapplicationlayerprotocolsandLevel1protocolsisroughly60bps.Smart

ContractsDigitalwalletsenablenearlyeverypersonwithaconnecteddevicetotransmitandreceivemoneyinstantly,fundamentallytransformingthethrough-flowofcommercialandfinancialexperiences.DigitalwalletsthatfacilitatewholesalepricingoffinancialservicesforindividualusershaveRoughly90%ofsmartphoneusersrelyondigitalwalletstosomedegree.Themajorityusesdigitalwalletsasthefront-endformorethanhalfofmeaningfulfinancialfunctions.Digitalwalletplatformproviderscontinuetorelyontraditionalecosystemstofacilitatefinancialactivitieslikelendingbutcan

extractleaddisruptedretailbankingrelationships,fundamentallytransformingconsumer

generationfeesof5-20%fordeliveringcustomerstothoseinstitutions.Theyalsorelationshipswithfinancialserviceproviders.In

additiontotheirfinancialfunctions,digitalwalletsaredistributionplatformsforavarietyofdigitalservices—fromride-hailingtoe-commerce—andaresecurerepositoriesfordigitalhealthandothersensitivedata.Traditionalfinancialserviceinstitutionsandtheirassociatedpaymentprocessingvaluechainshavegivenway

largelytointernet-enableddigitalwalletsformosteconomicactivity.can

capture3-10%commercefacilitationfeesfore-commerceactivitydirectedthroughtheirplatforms.DigitalWalletsSources:ARKInvestmentManagementLLC,2024.Intheabovetable,we

characterizetheconvergenttechnologicalcapabilitiesthatwebelievemaymanifestby2030and2050.Westressthatthesescenarios,writteninthepresenttense,arepossibleoutcomes—notassuredoutcomes—andthatthefuturemayplayoutdifferently.ThisARKanalysisisbasedonarangeofexternalsources,whichmaybeprovideduponrequest.Forecastsareinherentlylimitedandcannotbereliedupon.Forinformationalpurposesonlyandshouldnotbeconsideredinvestmentadviceorarecommendationtobuy,sell,orholdanyparticularsecurity.ExpectationsFor

Multiomic

Sequencing15Althoughthe

scenariosdescribed

inthe

table

beloware

writteninpresent

tense,

they

are

forecasted,

possible

outcomesbased

onARK'sviews.

These

possible

outcomesmay

not

be

realized

inthe

futuredue

to

a

number

of

uncertainties.

The

informationprovided

should

not

be

considered

investment

advice

and

should

not

formthe

basisof

any

investment

decision.Technology2040PossibilitiesARK’s2030Expectationof

ProgressTechnologyenablesthemanipulationofmolecularbiologicalsystems,catalyzinganewgenerationofmoreefficaciousanddurableprecisiontherapies.CRISPR-basedgene-editingenablesthemanipulationofDNAdirectlywithincreasingspecificity.RNA-actingtherapeutictechniquesrestricttheareaofDNAthatcan

betranscribedintoproteins.AI-advancesenablethetargetingofspecificproteinsthatcauseunderlyingdisorders.Thesebreakthroughshaveshorteneddevelopmenttimelinesforandincreasedtheefficacyofcurativetherapiesthatcommandhigherpricesthantraditionaltherapies.Researchersareaimingtocuremostrarediseases.Traditionalhealthservicespendingdeclines,cedingeconomicterraintomolecularcures.Precisiontherapiesmakeup25%ofnewlyreleaseddrugs.Byimprovingthequalityoflife,loweringancillarymedicalcosts,andofteneffectivelycuringdiseases,theycommandaveragepricepremiumsof7xrelativetotraditionaldrugs.CombinedwithexpectedimprovementsinR&Defficiencies,thesedrugsadd15%or~$300billiontodrugrevenuesin2030.PrecisionTherapiesCatalyzedbytheprecipitousfallinsequencingcosts,researchersandcliniciansroutinelycollectpatients’epigenomic,transcriptomic,andproteomicdata.WithincreasinglycomprehensivedigitalhealthreadoutsfromintelligentdevicesandemergingAItools,theyalignthispanoplyofmultiomicdatatounderstand,predict,andtreatdisease.Asaresult,cancercarehastransformedcompletely:multiomictechnologiesdetectcanceratearlystages,targettreatmentmoreprecisely,andproviderecurrencemonitoring.Regularblood-basedpan-cancertestsareastandardofcareforpatientsinmiddleage.MultiomictechnologyhasincreasedbiotechR&Defficiency,asclinicaltrialstargetpatientpopulationsandmeasureoutcomesmorepreciselyandeasily.CombinedwithAI,multiomictechnologyhastransformedtherelationshipbetweenpatientsandhealthsystems.Digitalhealthproviders,diagnostictoolcompanies,andmoleculartestingcompaniesareleadingthecharge.Legacydrugfranchisesandhealthservicesystemshavelosttheirprominence.Wastefulhealthcarespendingdeclinesashealthylivesextend.Atfullpenetration,R&Defficiencyassociatedwithdrugdevelopmentcoulddouble,thankstoAI-enhancedmultiomictechnology.By2030,nearlyallnewdrugdevelopmentprogramsincorporatemultiomicsintopreclinicalR&D,and~50%incorporateAIintoclinicalprograms.RealizedreturnsonR&Dhaveimprovedby10%withline-of-sighttoaneardoublingofR&Dreturnsby2035.Earlydete