Publication:
Who on Earth Is Using Generative AI ?

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dc.contributor.authorLiu, Yan
dc.contributor.authorWang, He
dc.date.accessioned2024-08-22T14:08:49Z
dc.date.available2024-08-22T14:08:49Z
dc.date.issued2024-08-22
dc.description.abstractLeveraging unconventional data, including website traffic data and Google Trends, this paper unveils the real-time usage patterns of generative artificial intelligence tools by individuals across countries. The paper also examines country-level factors driving the uptake and early impacts of generative artificial intelligence on online activities. As of March 2024, the top 40 generative artificial intelligence tools attract nearly 3 billion visits per month from hundreds of millions of users. ChatGPT alone commanded 82.5 percent of the traffic, yet reaching only one-eightieth of Google’s monthly visits. Generative artificial intelligence users skew young, highly educated, and male, particularly for video generation tools, with usage patterns strongly indicating productivity-related activities. Generative artificial intelligence has achieved unprecedentedly rapid global diffusion, reaching almost all economies worldwide within 16 months of ChatGPT’s release. Middle-income economies have disproportionately high adoption of generative artificial intelligence relative to their economic scale, now contribute more than 50 percent of global traffic, while low-income economies contribute less than 1 percent. Regression analysis reveals that income level, share of youth population, digital infrastructure, specialization in high-skill tradable services, English proficiency, and human capital are strongly correlated with higher uptake of generative artificial intelligence. The paper also documents disruptions in online traffic patterns and emphasizes the need for targeted investments in digital infrastructure and skills development to harness the full potential of artificial intelligence.en
dc.identifierhttp://documents.worldbank.org/curated/en/099720008192430535/IDU15f321eb5148701472d1a88813ab677be07b0
dc.identifier.doi10.1596/1813-9450-10870
dc.identifier.urihttps://hdl.handle.net/10986/42071
dc.languageEnglish
dc.language.isoen_US
dc.publisherWashington, DC: World Bank
dc.relation.ispartofseriesPolicy Research Working Paper; 10870
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/igo/
dc.subjectGENERATIVE AI
dc.subjectTECHNOLOGY ADOPTION
dc.subjectGEOGRAPHIC DISPARITIES
dc.subjectDIGITAL DIVIDE
dc.subjectINDUSTRY, INNOVATION AND INFRASTRUCTURE
dc.subjectSDG 9
dc.titleWho on Earth Is Using Generative AI ?en
dc.typeWorking Paper
dspace.entity.typePublication
okr.crossref.titleWho on Earth Is Using Generative AI ?
okr.date.disclosure2024-08-22
okr.date.lastmodified2024-08-19T00:00:00Zen
okr.doctypePolicy Research Working Paper
okr.doctypePublications & Research
okr.docurlhttp://documents.worldbank.org/curated/en/099720008192430535/IDU15f321eb5148701472d1a88813ab677be07b0
okr.guid099720008192430535
okr.identifier.docmidIDU-5f321eb5-4870-472d-a888-3ab677be07b0
okr.identifier.doi10.1596/1813-9450-10870
okr.identifier.doihttps://doi.org/10.1596/1813-9450-10870
okr.identifier.externaldocumentum34379070
okr.identifier.internaldocumentum34379070
okr.identifier.reportWPS10870
okr.import.id5132
okr.importedtrueen
okr.language.supporteden
okr.pdfurlhttp://documents.worldbank.org/curated/en/099720008192430535/pdf/IDU15f321eb5148701472d1a88813ab677be07b0.pdfen
okr.region.geographicalWorld
okr.topicInformation and Communication Technologies::Information Technology
okr.unitInfrastructure VPU (GGIVP)
relation.isSeriesOfPublication26e071dc-b0bf-409c-b982-df2970295c87
relation.isSeriesOfPublication.latestForDiscovery26e071dc-b0bf-409c-b982-df2970295c87
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