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PolicyResearchWorkingPaper10863BufferorBottleneck?EmploymentExposuretoGenerativeAIandtheDigitalDivideinLatinAmericaPawełGmyrekHernanWinklerSantiagoGargantaPovertyandEquityGlobalPracticeJuly2024Averifiedreproducibilitypackageforthispaperisavailableathttp://reproducibility.worldbank.org,clickherefordirectaccess.PublicDisclosureAuthorizedPublicDisclosureAuthorizedPublicDisclosureAuthorizedPublicDisclosureAuthorizedProducedbytheResearchSupportTeamAbstractThePolicyResearchWorkingPaperSeriesdisseminatesthefindingsofworkinprogresstoencouragetheexchangeofideasaboutdevelopmentissues.Anobjectiveoftheseriesistogetthefindingsoutquickly,evenifthepresentationsarelessthanfullypolished.Thepaperscarrythenamesoftheauthorsandshouldbecitedaccordingly.Thefindings,interpretations,andconclusionsexpressedinthispaperareentirelythoseoftheauthors.TheydonotnecessarilyrepresenttheviewsoftheInternationalBankforReconstructionandDevelopment/WorldBankanditsaffiliatedorganizations,orthoseoftheExecutiveDirectorsoftheWorldBankorthegovernmentstheyrepresent.PolicyResearchWorkingPaper10863Empiricalevidenceonthepotentialimpactsofgenerativeartificialintelligence(GenAI)ismostlyfocusedonhigh-in-comecountries.Incontrast,littleisknownabouttheroleofthistechnologyonthefutureeconomicpathwaysofdevel-opingeconomies.Thispapercontributestofillthisgapbyestimat...