Gpbullhound-2023年推动技术发展的十大趋势

Contents04THEVIEWFROMGPBULLHOUND05OUR2023TECHNOLOGYPREDICTIONSTAKEAWAYS06RECAPOF2022PREDICTIONS07GPBULLHOUND'S2023TECHNOLOGYPREDICTIONS08PREDICTION1Naturallanguageprocessingawatershedforbusinessstrategies10EXPERTVIEWArmandoGonzalez,RavenPack12PREDICTION2TikTokthenextkingofsocialmediaadvertising14PREDICTION3Interactivityandchannelselectionaread-streamgame-changers16PREDICTION4Energy-savingappsandnext-genbatteriespoweringthetechrace18EXPERTVIEWTanmoyBari,Greenely20PREDICTION5Tippingpointofcybersecurityandbrokencirclesoftrust24PREDICTION6Talentmanagementbuildingthefutureoftheworkplace26EXPERTVIEWPatrickvanderMijl,Speakap28PREDICTION7Softwaredrivingsustainability30PREDICTION8Roboticsnolongersci-fi32PREDICTION9E-commerce,butmakeitsocial34EXPERTVIEWTimFrankAndersen,Liveshopper36PREDICTION10Semisruletheworld38ALOOKBACKATGPBULLHOUND'SPASTPREDICTIONS44METHODOLOGYANDAUTHORS45ABOUTGPBULLHOUND46DISCLAIMER22EXPERTVIEWMartenMickos,HackerOne33THEVIEWTHEVIEWFROMGPBULLHOUNDTheviewFROMGPBULLHOUNDInits16thyear,GPBullhound’sTechnologyPredictionsreporthasestablishedareputationasanindustry-leadinganalysisofthetrendsandinnovationsshapingtheglobaltechnologysector.Withnearly90%accuracyinthepastfiveyearsandover80%inthepastdecade,ourmethodologyinselectingthecomingyear’spredictionsisshapeddirectlybyourexperienceinworkingwiththeworld’sleadingentrepreneursandcutting-edgetechnologies,balancedwithuniquemarketinsightgatheredacrossourglobalnetwork.STATEOFTHEMARKETTechnologycontinuestodriveglobalisationanditsadvancementremainsfundamentaltoimprovingourproductivity,capital,labour,andstandardofliving.Althoughweareinthemidstofaneconomicdownturn,technologyhasnotfailedusanditisneverasgoodorasbadasvaluationsmayimply.Cloudtechstillholdsthekeytoconnectivityandaccessibility;newvaccinetechnologycontinuestodriveresearchanddevelopment;artificialintelligence,machinelearninganddataanalyticssystemshelpusmanageallaspectsofourliveswithmoreeaseeveryday;andwiththeglobalpopulationsurpassingeightbillion,softwaretoacceleratesustainabilityismorecrucialthanever.Astechnologydeliversonitspromise,welookatwhatwilldrivethenext12months–theblueprinttonavigatingwhatliesahead–includingexpertviewsfromRavenPack,HackerOne,Greenelyandmore.For2023,wearebullishoncloudandartificialintelligence,energyefficiencyandelectricvehicles,andenterprisesoftwareanddigitalconsumptiontoacceleratetechnology’sprogressinbuildingthefuturewithrevolutionaryproductsandsolutions.44THEVIEWFROMGPBULLHOUNDTHEVIEWFROMGPBULLHOUNDOUR2023PREDICTIONSTheworldcontinuestolooktotechnologyforsolutions,andweknowitwilldeliver.Changesinsemiconductorregulationaresendingrippleeffectsacrossthelandscapeandmassivecybersecuritybreachesareseeingnewpublicandprivatesecuritypractices.TheESGmovementiscatalysinginnovationinenergytechnology,HRtechistacklingTheGreatReshuffle,cutting-edgeNaturalLanguageProcessingisrevolutionisinghowwecommunicatewithmachines,andadvancementsinroboticsaretransforminginfrastructureinallareasoflife.Here’swhat’sinstorefor2023.Prediction1:NaturallanguageprocessingawatershedforbusinessstrategiesNLPisstructuringtheunstructuredhumanmind;therearenowtwocontenttypes:human-createdpre-2020andmachine-created"synthetic"thereafterAprofoundtimeforcompanies,thosequicktoadoptwillgainavitalcompetitiveedgeandwelookforstill-highinvestmentinamarketenjoyingac30%CAGR(1)PredictionPrediction2:TikTokthenextkingofsocialmediaadvertisingOneofthemostusedappsworldwide,withonebillionusersandgrowing–c20%ofinternetusers–TikTokischangingthelandscapeforbrandsandcreatorsDespiteitsrecentadrevenueforecastcutto$10bn($12bn)for2022,TikTokremainspoisedtotakesignificantmarketsharefromincumbentslikeFacebookandYouTube,butUSregulationloomsPredictionPrediction3:Interactivityandchannelselectionareadstreamgame-changersPrediction4:Energy-savingappsandnext-genbatteriespoweringthetechraceAdvertisersmustswiftlyadapttoad-blockers,"ad-blindness",anddecreasedconsumerattentionspansCTVblendseverythingformarketers:brandbuilding,targetedcustomeracquisitionandsales,allwithclearfeedbackforbetterROI–expectincreasedM&AforCTV-relatedservices,data/analyticsandtechprovidersTheongoingenergycrisiswillgalvaniseconsumerdemandforhomeenergy-savingsystems,withmarketCAGRestimatesashighasc19%(2)Weexpectelectricvehicledemandtopropelsolid-statebatteriestoanewbenchmarkforqualityenergystorage,eventuallyreplacinglithium-ionbatteriesPrediction5:TippingpointofcybersecurityandbrokencirclesoftrustWeviewcybersecurityspendingasaseculargrowthareaandin2023lookformoreconsolidationwithlargeprovidersprovidingfullend-to-endsolutionsExpectsmallerproviderstoexpandofferingsorganicallytomeetincreasingdemand,buttheirprofitabilityiskeytowatchasmanyrelyonhighsalesforceexpensesPrediction7:SoftwaredrivingsustainabilityClimatetechfundingrepresentedmorethanaquarterofeveryventuredollarinvestedin2022(3)From2023,welookforincreasedfundingintechnologiesthatemployenvironmentally-friendlypracticestoimprovesustainability,aswellascompanieswithresource-efficientsupplychainprocessesPredictionPrediction6:TalentManagementbuildingthefutureoftheworkplaceWithremote/hybridwork,TheGreatReshuffle,andinflationaryforces,employeeengagementiscriticalTheneedformoderntoolstostreamlinetalentattraction,training,engagement,andretentionwillgrow,andweforeseemoremarketconsolidationanddevelopmentofpowerfulintegratedplatformsin2023Prediction8:Roboticsnolongersci-fiAdvancedcognitivecapabilitieswillpropelrobotusecasesacrossallsectors,increasinglyreplacingskilledworkersinexistingmanufacturingandservicejobsIn2023,weexpectincreasedM&Ainawell-fundedindustry,separatingsuccessfullyscalingroboticcompaniesfrominnovator-onlyplayersPrediction9:E-commerce,butmakeitsocialWelookforconsumerstoincreasinglyreplacetraditionale-commerceplatformswithsocialmediaastheirpreferredpointofsale;livestreamshoppingandgroupbuyingarethelatesttrendsIn2023,welookforlivestreamshoppingtoenterthemainstreamduetoitshighmeasurableROIinaperiodoftighteningadvertisingbudgetsPrediction10:SemisruletheworldGeopoliticsisplayingacrucialroleinsemisdomination,shiftingtheestablishedbalanceofpowerThemarketexpectsamajordownturninsemicapequipmentspend,butweexpectthebattlefortechleadership,techsovereigntyandstructuraldemandshortageintrailingedgenodestoresultinspendabovemarketexpectationsin2023Sources:GPBullhoundGlobalInsightsandpubliclyavailableinformation.Note:1)MarketResearchFuture;2)ResearchandMarkets;3)PwC;and4)Accenture.Seeindividualtrendsforfurthersourceinformation55RECAPPREDICTIONSRECAPPREDICTIONS2022RecapofGPBullhound's2022PREDICTIONSFromsmarterdevicesandextendedrealitytofurtheradoptionofAIandML,thetechnologiesof2022arereshapingbusinessesandconsumerbehaviourinmoremeaningfulways.Fromthefactoryfloortotheboardroom,businesseshavetakenadvantageofnewopportunitiescreatedbythesetechnologies,whileconsumershaveactedaschangefacilitatorsandrecipients.Here'swhatwegotrightin2022.YESChangingeveryaspectofcultureandsociety,fromthefutureofworktosocialcausestomentalhealth,thecreatoreconomycontinuestogrowpost-pandemic,fromover165millioncreatorsinthepasttwoyearstomorethan303milliontodayandisnowamulti-billiondollarindustryvaluedatmorethan$100bnin2022(1).Offeringcreatorsmanywaystomonetise,influencermarketinggrewfrom$9.7bnin2020to$13.8bnin2021andislikelytoreachover$16bnin2022(2).Financingcontinuesinthespace,withfundingtoventure-backedstartupsfocusedoncontentcreatorssurpassing$939min2021(3).YESFromthepandemictothewarinUkraine,supplychaincrisescontinuetoforcebusinessesandgovernmentsworldwidetolooktotechnologyforsolutions.Withincreasinginvestmentsinwarehouseautomationandsoftwaresystems,AItoimproveproductivity,cybersecurity,aswellasports,airportsandotherinfrastructure,technologywillcontinuetoplayakeyroleinglobalsupplychainsfortheforeseeablefuture.YESMetaversecontinuestodominateheadlines.ThemixedreactionshavespreadtotheNFTspace,withtheaveragepriceofanNFTdown70%fromMay2022.AsofNovember2022,theaveragesaleofvirtuallandonDecentralandwasdown99%fromitspeakinNovember2021.Despitethisdownturn,companiescontinuetobrainstormandinvestinthefutureoftheMetaverse.MetarecentlyrolledoutanewMetaverseIDsystemandstartupReadyPlayerMeraised$56minAugustof2022.Additionally,ApplehasindirectlyhintedthroughrecentjoblistingsthattheytooarebuildingametaversefortheirVRheadsets.YESWearableshaveseenmajorscientificbackingandtechnicalimprovements.Havingpassedthehypestage,they’veenteredthe“plateauofproductivityera”,provingincreasedusefulnessthroughAIintegrationsinmultipleverticalslikehealthcare,IoT,wellness,andpsychology.Withsmallerchips,wearableshaverampeduptheirAIefficiency.Wild.ai,whichusesAI-sourceddatafromactivewomentoanalysevitalsignsandperformance,isagreatexample.YESNONOWhileprogresshasbeenmade,it'sslowerthanexpected.LegacyhealthcaresystemsandinstitutionsstruggletoeffectivelyintegrateanddeployAItechnologyandearlyadoptersfacerisksassociatedwithunchartedwaters.GovernmentshavealsograppledwithhowAIfitswithinthecomplexregulatorylandscapeforhealthcare,strugglingtofindawaytomonitorthechainofresponsibility.Regardless,pioneersaredreamingupnewwaystoimprovehealthcareoutsideofthespecificactivitiesperformedbydoctors,likeclinicmanagement.YESThecollapseofcentralisedfinance(CeFi)platformsandexchangeslikeCelsiusandFTXareasetbackfortheindustry,butDeFiprotocolsarefunctioningsmoothly.Thedecentralisedexchange(DEX)Uniswapisthesecond-largestexchangeforEthereumtradingafterBinance,with$4bn+indailytradingvolume.2022sawtheinstitutionalisationofDeFiasmajorfinancialinstitutionslikeJPMorganexecutedtheirfirstDeFitransactionsonpublicblockchains.Ethereum'stransitiontoproof-of-stakesetthestageforscalabilityupgrades,whilstLayer2roll-upslikeOffchainLabsandStarkWareraisedmegaroundsdespitethechallengingmarket.YESThedevelopmentandadoptionofARMchipsinpersonalandenterpriseenvironmentshavesteadilygrown,withAppledoublingdownontheM-seriesofchips.InQ12022alone,ARMpartnersshippedoversevenbillionARM-basedchips,upnearly10%YoY.MoredevelopersarereleasingARM/RISC-basedbuildsoftheirsoftwarespeciallydesignedforthisarchitecture.MicrosoftannouncedplanstorolloutProjectVolterrabytheendof2022.YESWithAI-poweredtechthatstimulatesDEIrecruitingandretention,manycompanieshavebecomelong-termserviceproviderstomid-marketandFortune500companiesin2022.Withmoredatathanever,HRhavenewopportunitiesforlearningandimprovement.M&Aactivityisanotherindicatoroftheaccelerationwithintech-enabledDEI.SilkRoadTechnologyacquiredEnteloinAugust2022,andSAPandBostonConsultingGrouparecombiningtheirexpertiseandtechnologiestobridgethegapincorporatediversityprogrammes.YESSeculartrendslikethedemandforrenewablesandEVsaregrowing,leadingtosustainedsemissupplyshortages,especiallyattrailingedgenodes,wheretherehasbeenlittlecapacitybuild-out(andevenreduction)inthepastdecade.Thesestructuraldemandtrendswillcontinueandtheneedforsemiconductorcontentwillincrease.Whilegovernmentinitiativestoboostdomesticproductionareunderway,newmanufacturingrampstaketimeandongoingsemiconductorequipmentshortageswillalsolimitcapacitythatcanbeaddedshort-term.YESNONOBroaderadoptionanddiversificationawayfrome-commercehaveincreased.InterestrateanalysisshowsthatBNPLmodelsprovideshort-terminterest-freeconsumerloanspartiallyfinancedbyfloating-ratecorporatedebt.Asinterestratesincrease,theyareunabletopassalongthehighercostofcapital.Consumercreditrisk,soaringinflationandhigherinterestratescouldcausedefaultstospike.Unlikeestablishedbanks,BNPLprovidersdonothaveotherincomesourcestocounterbalanceafallindiscretionaryspending.Sources:GPBullhoundGlobalInsightsandpubliclyavailableinformationNote:1-2)InfluencerMarketingHub(MayandNovember2022);3)Crunchbase(July2022);and4)PwCGlobalCryptoHedgeFundReport202266TTechnologyPredictions20237788PREDICTION1:NATURALLANGUAGEPROCESSINGANDARTIFICIALINTELLIGENCEAwatershedforbusinessstrategiesNaturallanguageprocessing(NLP)isoneformofmachinelearningandartificialintelligencethatallowssoftwaretofragmentandprocesslanguagelikeahumanwould.NLPrunsonthebackendoftoolsandapplicationsuseddaily,fromautomatedcustomerservicetosmartspeakersandvoiceassistants.Itisquicklyadvancingandexperiencingincreasingadoptionacrossvarioustechnologies,anditsdevelopmentwillcontinuetosignificantlyaffecthowwecollaboratewithtechnologyinthefuture.Inthenextyear,companiesrapidlyinvestinginandadoptingthistechnologywillhaveasignificantedgeovercompetitors.01COMPANIESTOWATCHPREDICTION1:NATURALLANGUAGEPROCESSINGANDARTIFICIALINTELLIGENCEPREDICTION1:NATURALLANGUAGEPROCESSINGANDARTIFICIALINTELLIGENCEMARKETSYNOPSISNLPisstructuringtheunstructuredhumanmindandfirmsnowanalysetwotypesofcontent:human-createdbefore2020andmachine-created"syntheticcontent"thereafter.NLPadoptionisdrivenbyanincreasingfocusonconsumerexperience,businessesshiftingtowardsautomation,demandforbigdata,analytics,powerfulcomputing,andenhancedalgorithms.Previouslydrivenbybanking,financialservicesandinsurance(BFSI),theNLPmarketissettoreach$341bnby2030(1)asdigitisationincreasesacrossallverticals,suchasgovernments,fuelingadoptionandapplication.THERISEOFNLPNLPhasfounditswayintomanyconsumerapplicationsweusetoday,suchasspeechrecognitionsoftware,grammarapps,chatbots,andvoiceprompts.SomeofthebiggestbreakthroughsinsystemsthatpredictandgeneratetextorsolvecomplexmathematicalproblemsareOpen-AI’sGPT-3,Google’sPathwayLanguageModel(PaLM),DeepMind’sGopher,andMicrosoft’sMegatron-TuringNaturalLanguageGeneration(MT-NLG)inpartnershipswithNVIDIA.RecognisingthescopeandpotentialofNLP,techgiantsareexploringfurtherapplications.Today,youcangenerateartviatext-to-imagesoftware,likeOpen-AI’smuchanticipatedDALL-E2,oroutsourcearduoustaskslikemanagingjobapplicationstoamultilayeredlanguageprocessor.NLPisoneofthefewfieldsinAIwhichisnotlimitedbydata.Unliketrainingaself-drivingcar,NLPdoesn’trequireyearsofgatheringdata,likedrivingindifferentclimates.WithongoingadvancementsinNLP,deeplearningsystemswillcontinuetomergelanguage,images,andreal-lifeobjectdetectiontobuildmodelsthatreplicatehumanintelligence.THEFUTUREOFNLPANDDISRUPTORSCompanieswillcontinuetoutiliseNLPtoimprovetheirproductsandinternalanalysiscapabilities,suchasmonitoringconversationsaboutcompetitors,processingdocuments,andautomatingfrauddetection.AnareawhereNLPscandisruptisgovernment.Publicbodiesaretypicallyfullofunstructured,difficult-to-interpretdata,whichhinderslawmakers'abilitytoprovidecitizenserviceseffectively.About80-90%ofdatacollectedbyorganisationsandgovernmentsisunstructured(2).PowerfulNLPcanallowgovernmentstoextractandcategorisedatafaster,improveregulatorycompliance,bolsternationalsecurity,andanalysepublicfeedback.However,NLPisnotwithoutitschallenges.TheEUisworriedthatNLPscanbeusedtospyoncitizensandmimicpublicofficialsthroughchatbotsanddeepfakes,orunethicallycollectandinterpretconversationsbetweenworkersbybusinesses.TheEUdrafteditsfirstAIActthatregulatestheuseofNLPsininfrastructure,workermanagement,andlawenforcement.AspublicsentimentgrappleswiththeethicsofNLPandAI,governmentregulationwillbeachieftopicofdiscussionintheyearstocome.Lastly,oneofthefastest-growingareaswithinNLPisnaturallanguageunderstanding(NLU).WhileNLPistheprocessofmakingthetextualdatamachine-readable,NLUistheprocessofgivingitmeaningandiswhatallowsvoiceassistantstounderstandhumans.Whilewe’retypingcommandstoday,wearelikelytouseourvoicesmuchmoreinthefuture.Sources:GPBullhoundGlobalInsightsandpubliclyavailableinformationNote:1)MarketResearchFuture,NaturalLanguageProcessingMarketreport(November2022)and2)MongoDB99EXPERTVIEWEXPERTVIEW:RAVENPACKExpertviewTechnologyandinsightsfordata-drivencompaniesCEO&CO-FOUNDER-RAVENPACKArmandoGonzalezHOWWOULDYOUDESCRIBETHEOVERALLMARKETFORMACHINELEARNING(ML)/NATURALLANGUAGEPROCESSING(NLP)?Ithinkthere'sneverbeenamoreexcitingtimeforthemachinelearningandnaturallanguageprocessingindustry.We’reatthetippingpointofdisruptinghowweextractdeeperknowledgefromdatatomakemoreinformeddecisions.Afterdecadesofsluggishprogress,we’reseeingthatlargelanguagemodelsusingtransformerarchitecturesorgraphneuralnetworksarefundamentallychanginginformationanalysis.Wenowliveinaworldofpowerfulcomputing,cheapstorage,andvastamountsofdatawhich,toalargeextent–over80%–isunstructured.HugeadvancementsinMLandNLPhavemadeitpossibleforustofeedhyper-focusedtrainingsetsintomachines,thusenablingthemtohelpsolvespecificproblemsacrossthefinance,business,andpublicsectors.WHATARESOMEOFTHEINTERESTINGTHINGSTHATRAVENPACKISDOINGINTHISSPACE?Theworldneedsreliabletoolstodenoiseandextractknowledgefromthelargeamountofdataavailable.Ourtechnologyenablesustotakebigdataandlookatitfromamyriadofangles–investment,sustainability,risk,competitiveanalysis,ormacroeconomics,withendlessotherpotentialperspectivesandcrossoverapproaches.Whenyouaskunprecedentedquestions,thedatawillgiveyouunprecedentedanswers.Forexample,wediscoveredthatsystematicallyanalysingallearningscallsacrossallcompaniesandsectorsisavaluablesourceofinsightsformacroeconomicmodels.OrthatidentifyingESGcontroversiesinthemediacanconsiderablyenhancecorporatebondsinvestmentsstrategies.Morerecently,wetappedintolabourdata–analysingeveryjobpostedbytheworld’slargestemployers.Ithinkwearethefirstbigdatacompanytoachieveafull,in-depthanalysisofover200millionjobpostings,uncoveringvaluablehiringtrendsandpatternswithalargevarietyofapplicationsfromfinancetoHR.110EXPERTEXPERTVIEW:RAVENPACKHOWDOYOUTHINKGOVERNMENTREGULATIONCOULDIMPACTTHEDEVELOPMENTORCOMMERCIALISATIONOFNLP-ENABLEDPRODUCTS?AIhasbecomeembeddedinourday-to-dayhumanactivityandthebenefitscanbeseenincaseslikethefightagainstCovidandtheArtemisprojecttogethumansbackonthemoon.However,thetechnologydoesraisepublicconcernwithissuessuchasdeepfakesanddigitalprivacyinthespotlight.It’sclearthattheworldisembracingAIasitbecomespartofourlives,andit’slikelythattherewillbeafocusonregulationtohelpstimulateinnovationwhileensuringhumanrightsprotection.WethinkpolicymakersintheUSandEuropewillneedourhelptoshapeframeworksthatdriveforwardtheAIindustryandoursocietyoverall.HOWDOYOUTHINKETHICSWILLPLAYAROLEINNLP?Ultimately,languageAImodelsareonlyasgoodasthetrainingdatawefeedthem.WemaybetemptedtothinkofAIasaneutral,objectiveinstance,butthetruthisitisinfluencedbybiasesthroughhumaninputs.Soracial,politicalorgenderbiasescanfindtheirwayintoNLPmodels.It'sourtasktocreatequalityandaccuratetrainingsetsthatreflecttherealworldinallitsdiversity.It'salsoourtasktoensurethatNLPcanhaveapositiveimpact.AndtherearemoreandmoreresearchpaperslookingintohowNLPcandetectstereotypes,hatespeech,ormisinformation.Duringthepandemic,theRavenPackteamdevelopedafreeCoronavirusNewsMonitortohelpnavigatethevastamountofinformationavailableonCovidanditsimpactonworldaffairs.Theseindicatorshavebecomeareliablesourceforresearchersandleveragedinover100researchstudies.WHEREDOYOUWANTTOTAKETHEBUSINESS?WHATDOESSUCCESSLOOKLIKEOVERTHENEXTFIVEYEARS?Ourmissionistodemocratisebigdata.Simplyput,data-drivendecisionsarebetter.So,theultimategoalistoempowereveryone,frombusinessestoretailusers,publicandprivatecompanies,andgovernmentstoNGOs,toleveragethepowerofbigdatainmakingoptimalandmoresustainabledecisions.1111212PREDICTIONPREDICTION2:TIKTOKANDITSEFFECTONTHEINDUSTRYThenextkingofsocialmediaadvertisingOverthepasttwoyears,onesocialmediaplatforminparticularhastakentheworldbystorm,andnowTikTok’sfastrisetodominanceforecastslong-termadvertisingmarketshareworldwide.AlthoughTikTokrecentlycutitsadrevenueforecastfrom$12bnto$10bnfor2022duetotheslowingdigitaladvertisingindustryanddespiteitsongoingnegotiationswithUSregulators,itisstilloneofthemostusedappsintheworld.AsTikTokchangesthelandscapeforbrandsandcreators,weexpectittoincreasinglychallengeestablishedplayerslikeFacebook,InstagramandYouTube.02COMPANIESTOWATCHPREDICTION2:PREDICTION2:TIKTOKANDITSEFFECTSONTHEINDUSTRYTIKTOK’SDOMINANCEINDIGITALADVERTISINGTikTokhasgrowntobeoneofthelargestplatformsintheworldwithmorethanonebillionusersbutstilltrailsotherprominentsocialmediaplatformsinitsshareofdigitaladspending.Astheappisexpandingitsadofferingthroughnewengagingformats,livestreamingandfeaturessortedbylocation,weexpectTikToktovaultovermostofitscompetitiontobecomealeaderformanyD2Cbusinessesindigitaladvertising.SomeestimatesplaceTikToktoseec$14bnby2026(1).DespiteUSregulators'repeatedconcernsaboutTikTok’sabilitytoprotectthedataofAmericanusersfromChineseauthorities,TikTokremainsconfidentthatitisonapathtosatisfythose.ThecompanyhasbeennegotiatingwiththeUSCommitteeonForeignInvestment,agroupoffederalagenciesthatreviewsforeigninvestmentsinAmericanentitiestoresolvetheseconcerns,withfurthernegotiationstofollowinthenext12months.Companiespayinfluencers$200-$20,000perbrandedvideobasedonfollowercountandtargetaudienceBEST-IN-CLASSALGORITHMByunderstandingTikTok’salgorithm,influencerscantargetspecifichashtags,songs,captions,andmoretoincreasetheirchancesofgoingviral.BrandsofteninsertthemselvesintoexistingviralTikToktrendstoconvertattentionintodollars.TikTok’smaindifferentiatoristhatitsalgorithmis“interests-based”,unlikeFacebookandInstagram,whichare–oratleaststartedas–bei