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PRWP

Reproducibility package for Who On Earth Is Using Generative AI? Global Trends And Shifts In 2025

2025
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Reference ID
RR_WLD_2025_420
DOI
https://doi.org/10.60572/12rk-p733
Author(s)
Yan Liu, Jingyun Huang, He Wang
Collections
World Bank Policy Research Working Papers
Metadata
JSON
Created on
Sep 23, 2025
Last modified
Sep 23, 2025
  • Project Description
  • Downloads
  • Overview
  • Reproducibility Package
  • Description
  • Scope and coverage
  • Disclaimer
  • Access and rights
  • Contacts
  • Information on metadata
  • Citation
  • Overview

    Abstract

    Nearly three years after ChatGPT’s launch, the generative AI landscape remains in rapid flux. Using high-frequency website traffic data from Semrush, we track global adoption patterns for the 60 most-visited consumer-facing GenAI tools through mid-2025. Five key findings emerge. First, fierce competition drives continuous innovation: two of 2025’s top five tools—DeepSeek and Grok—are new entrants, while development rapidly diversifies into multimodal capabilities, reasoning, and specialized applications. Second, ChatGPT maintains dominance despite competition, accounting for 77% of traffic to the top 60 tools in April 2025. Third, GenAI usage has exploded since mid-2024: ChatGPT traffic grew 123% year-over-year, driven by 42% user growth and 50% increases in visits per user, with session duration doubling. Fourth, high income countries are pulling decisively ahead, creating stark global divides. While 25% of internet users in HICs use ChatGPT, penetration drops to 5.6% in upper-middle-income countries, 3.6% in lower-middle-income countries and just 0.3% in low-income countries. Regression analysis confirms GDP per capita strongly predicts adoption growth. Fifth, localization shapes competitive advantage: non-U.S. tools concentrate heavily in home markets, with Le Chat drawing 69% of traffic from Europe and several Chinese tools exceeding 90% domestic usage. These patterns reveal an AI landscape characterized by intense innovation, persistent market leadership, accelerating growth, and deepening global inequality, underscoring the needs for inclusive policies as GenAI becomes central to economic participation.

    Reproducibility Package

    Scripts
    Readme Get Reproducibility Package
    Link: https://reproducibility.worldbank.org/catalog/332/download/1009/README.pdf
    Reproducibility package for Who On Earth Is Using Generative AI? Global Trends And Shifts In 2025
    File name
    RR_WLD_2025_420
    Zip package
    RR_WLD_2025_420.zip
    Title
    Reproducibility package for Who On Earth Is Using Generative AI? Global Trends And Shifts In 2025
    Date
    2025-09
    Dependencies
    Stata dependencies are listed in the ado folder.
    Instructions
    See README in reproducibility package.
    Notes
    Computational reproducibility verified by Development Impact (DECDI) Analytics team, World Bank.
    Source code repository
    Repository name URI
    Reproducible Research Repository (World Bank) https://reproducibility.worldbank.org
    Software
    Stata
    Name
    Stata
    Version
    18 MP

    Reproducibility

    Technology environment

    Paper exhibits were reproduced on a computer with the following specifications:
    • OS: Windows 11 Enterprise
    • Processor: INTEL(R) XEON(R) PLATINUM 8562Y+ 2.80 GHz (4 processors)
    • Memory available: 32.0 GB

    Technology requirements

    Run time: 10 minutes

    Reproduction instructions
    1. Secure Access to Data: Access the datasets not included in the package. See subsection Datasets and the README for more details.
    2. Download and Place Data: Once the data is downloaded, users should place it in the appropriate folder.
    3. Run the Package: After placing the data in the folder:
      • Update the global in line 4 of the do-file "main" to your folder's location and run the do-file

    Since all the data is not included, the package includes the results produced by replicators in the Results folder. These files can be used to review the results presented in the paper.

    Data

    Datasets
    Semrush Web Traffic Data on Generative AI and Benchmark Platforms
    Name
    Semrush Web Traffic Data on Generative AI and Benchmark Platforms
    Note
    Source: Semrush (proprietary, subscription-based). Data were extracted in June 2025 via Semrush’s API and cover January 2021 to May 2025. Institutional subscription and API credentials from Semrush are required (https://www.semrush.com/projects/). Replicators must set up an account and follow the API documentation to retrieve data. File location: data/raw/ File names: GenAI_by_country_202101_202505.csv; Benchmark_by_country_202101_202505.csv; genai_list2506.xlsx
    Access policy
    Not included in the package. Requires purchase from the source mentioned above.
    Cross-Country Dataset on Generative AI Adoption
    Name
    Cross-Country Dataset on Generative AI Adoption
    Note
    Source: Liu, Yan and He Wang (2024). Who on Earth is Using Generative AI? World Bank, Washington, DC, USA. Compiled by the authors using Semrush outcomes combined with country-level covariates. Internal dataset prepared by the World Bank Digital Development team. Cannot be publicly released as it incorporates licensed Semrush data, which is confidential and subject to subscription restrictions. Contact the author He Wang (hwang21@worldbank.org) to access the data. Files: temp/2024crosscountry_reg.dta
    Access policy
    Not included in the package. Contact the authors (see above) to request access.
    Country-Level Digital Development Indicators
    Name
    Country-Level Digital Development Indicators
    Note
    Source: Compiled by the authors using two public datasets: (i) Individuals using the Internet (% of population) from the World Bank’s World Development Indicators (indicator code IT.NET.USER.ZS), available at World Bank (https://data.worldbank.org/indicator/IT.NET.USER.ZS), and (ii) Fixed network speed from Ookla Open Data (https://github.com/teamookla/ookla-open-data). See README for more details. Files: data/raw/dt2025.dta
    Access policy
    Included in the package
    Country Concordance: ISO Codes, Regions, and Income Classifications
    Name
    Country Concordance: ISO Codes, Regions, and Income Classifications
    Note
    Source: Compiled by the authors using World Bank public country metadata (variables including country names, ISO codes, regions, income groups, and lending types from the World Development Indicators) with additional manual edits to harmonize spellings and add group classifications (e.g., EU, OECD, G20, BRICS). Files: data/raw/countryname_concordance_FY26.dta
    Access policy
    Included in the package.
    Data statement

    Some data is restricted and has not been included in the reproducibility package. For more details, please refer to the README file.

    Description

    Output
    Who On Earth Is Using Generative AI? Global Trends And Shifts In 2025
    Type
    Working Paper
    Title
    Who On Earth Is Using Generative AI? Global Trends And Shifts In 2025
    Description
    Policy Research Working Papers (PRWP)
    Authors
    Author Affiliation Email
    Yan Liu World Bank yanliu@worldbank.org
    Jingyun Huang World Bank, Rice University jhuang8@worldbank.org
    He Wang World Bank hwang21@worldbank.org
    Date of production

    2025-09-23

    Scope and coverage

    Geographic locations
    Location Code
    World WLD
    Keywords
    Generative Artificial Intelligence Technology Adoption Geographic Disparities
    Topics
    ID Topic Parent topic ID Vocabulary Vocabulary URI
    O30 General O3 Journal of Economic Literature (JEL)
    O31 Innovation and Invention: Processes and Incentives O3 Journal of Economic Literature (JEL)
    O14 Industrialization • Manufacturing and Service Industries • Choice of Technology O1 Journal of Economic Literature (JEL)

    Disclaimer

    Disclaimer

    The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.

    Access and rights

    License
    Name URI
    Modified BSD3 https://opensource.org/license/bsd-3-clause/

    Contacts

    Contacts
    Name Affiliation Email
    Yan Liu World Bank yanliu@worldbank.org
    Reproducibility WBG World Bank reproducibility@worldbank.org

    Information on metadata

    Producers
    Name Abbreviation Affiliation Role
    Reproducibility WBG DECDI World Bank - Development Impact Department Verification and preparation of metadata
    Date of Production

    2025-09-23

    Document version

    1

    Citation

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