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PRWP

Reproducibility package for Poland in the Age of Artificial Intelligence: Is the Workforce Ready?

2026
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Reference ID
RR_POL_2026_707
Author(s)
Maddalena Honorati, Piotr Lewandowski, Karol Madoń
Collections
World Bank Policy Research Working Papers
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Created on
Nov 06, 2026
Last modified
Nov 06, 2026
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  • Information on metadata
  • Overview

    Abstract

    This paper documents the incidence and characteristics of workers’ exposure to AI in Poland compared to other countries and examines the potential barriers that could limit workers’ realized productivity gains. Polish workers are less exposed to AI compared to US and European workers and that the exposure gap is primarily driven by workers’ lower use of computers at work. Second, when looking at workers’ readiness to effectively adopt AI technologies, we find that Polish workers have lower transversal and cognitive skills (assumed to be complementary to AI) than comparator countries and have less opportunities to participate in upskilling and reskilling initiatives. The cross-country skill gap is significantly higher among AI exposed workers. Consistently, Polish workers report substantially higher perceived needs for digital skills training than comparable workers in other countries. However, workers’ awareness of skill gaps is not uniform: it is high among more educated and younger workers, while not significant among older workers. Third, we do not find any systematic relationship between occupational exposure to AI and existing labor shortages in Poland. AI could mitigate existing labor shortages for legal, social and cultural professionals. Finally, the paper provides a framework to guide social protection, skills and employment policies to address AI-driven job displacement and equip workers with skills complementary to AI. We contribute to the literature on measuring workers’ exposure to AI by comparing alternative task-based measures of AI-exposure and validating the AI exposure metrics against self-reported use of generative AI tools at work in Poland.

    Reproducibility Package

    Scripts
    Readme Get Reproducibility Package
    Link: https://reproducibility.worldbank.org/catalog/692/download/2088/README.pdf
    Reproducibility package for Poland in the Age of Artificial Intelligence: Is the Workforce Ready?
    File name
    RR_POL_2026_707
    Zip package
    RR_POL_2026_707.zip
    Title
    Reproducibility package for Poland in the Age of Artificial Intelligence: Is the Workforce Ready?
    Date
    2026-11
    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
    19.5 MP

    Reproducibility

    Technology environment

    Paper exhibits were reproduced on a computer with the following specifications:

    • OS: Windows 11
    • Processor: Intel Core i7-11850H (2.50 GHz)
    • Memory: 32.0 GB
    Technology requirements

    Run time: ~30 minutes

    Reproduction instructions

    To reproduce the findings in this paper, a replicator must:

    1. Secure Access to Data: Access the datasets not included in the package. See the Datasets section for more details.
    2. Run the Package:
    • Update the working directory in line 13 of the do-file main, and run it.

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

    Data

    Datasets
    Programme for the International Assessment of Adult Competencies (PIAAC), Survey of Adult Skills, Cycles 1 and 2
    Name
    Programme for the International Assessment of Adult Competencies (PIAAC), Survey of Adult Skills, Cycles 1 and 2
    Note
    Filename: data/raw_piaac1/prgp1.dta (bel, cze, deu, dnk, esp, est, fin, fra, gbr, grc, hun, irl, isr, ita, ltu, nld, nor, pol, svk, svn, swe); data/raw_piaac1/SUF_PIAAC_STAT_AUT_NEU.dta; data/raw_piaac1/piaac_cyp.dta; data/raw_piaac2/prgpolp2.dta. Individual-level OECD survey data on adult literacy, numeracy and problem-solving skills and on task use at work. For more details, refer to the README file.
    Access policy
    Data access requires purchase or human approval and is not included in the reproducibility package.
    License
    PIAAC Remote Code Execution (RCE) Service Terms of Use
    License URL
    https://www.oecd.org/content/dam/oecd/en/about/programmes/edu/piaac/data-materials/cycle-2/piaac-rce-service-terms-of-use.pdf
    Data URL
    https://www.oecd.org/en/about/programmes/piaac/piaac-data.html
    Citation
    OECD. (2025). Survey of Adult Skills (PIAAC) [dataset]. Organisation for Economic Co-operation and Development. https://www.oecd.org/en/about/programmes/piaac/piaac-data.html. Accessed February 2025.
    European Skills and Jobs Survey, Wave 2 (ESJS2), 2021
    Name
    European Skills and Jobs Survey, Wave 2 (ESJS2), 2021
    Note
    Filename: data/cedefop/CEDEFOP_ESJS2_v13.dta. Individual-level survey of adult workers in the European Union on skills, digitalisation and training needs, produced by the European Centre for the Development of Vocational Training (Cedefop). Access requires submitting the request form at https://www.cedefop.europa.eu/en/access-microdata, stating the research purpose, organisation and planned analyses; a download link is sent by email on approval. For more details, refer to the README file.
    Access policy
    Data access requires purchase or human approval and is not included in the reproducibility package.
    License
    Creative Commons Attribution 4.0 International (CC BY 4.0)
    License URL
    https://creativecommons.org/licenses/by/4.0/
    Data URL
    https://www.cedefop.europa.eu/en/datasets/dataset-european-skills-and-jobs-survey-2021-wave-2
    Citation
    Cedefop. (2021). Cedefop second European skills and jobs survey (1st edition) [dataset]. European Centre for the Development of Vocational Training. https://www.cedefop.europa.eu/en/projects/european-skills-and-jobs-survey-esjs. Accessed May 2025.
    European Union Labour Force Survey (EU-LFS), 2022
    Name
    European Union Labour Force Survey (EU-LFS), 2022
    Note
    Filename: data/raw_lfs/2022_y.dta (at, be, bg, ch, cy, cz, de, dk, ee, el, es, fi, fr, hr, hu, ie, is, it, lt, lu, lv, mt, nl, no, pl, pt, ro, se, si, sk). Annual individual-level Eurostat labour force microdata for 2022, including the job skills module. Access requires the replicator's organisation to be recognised as a research entity by Eurostat, followed by a research proposal through the Eurostat Microdata Access Portal for Scientific Use Files. For more details, refer to the README file.
    Access policy
    Data access requires purchase or human approval and is not included in the reproducibility package.
    License
    Eurostat microdata access agreement (Commission Regulation (EU) No 557/2013)
    License URL
    https://ec.europa.eu/eurostat/documents/203647/771732/How_to_apply_for_microdata_access.pdf
    Data URL
    https://ec.europa.eu/eurostat/web/microdata/access
    Citation
    Eurostat. (2022). European Union Labour Force Survey (EU-LFS), annual microdata 2022 [dataset]. European Commission. https://ec.europa.eu/eurostat/web/microdata/access. Accessed April 2025.
    System for Forecasting the Polish Labour Market
    Name
    System for Forecasting the Polish Labour Market
    Note
    Filename: outputs/Figures_3_4_11_A1.xlsx (sheet Figure_11). Forecast occupational labour shortages and surpluses for Poland in 2040 (baseline scenario), produced for the Ministry of Family, Labour and Social Policy. The forecast values have been removed from the sheet because the data cannot be redistributed: the sheet retains the occupation codes and labels, and a replicator must rebuild the forecast columns from the source before Figure 11 can be reproduced. Access requires an account approved by the Ministry. To extract the data: log in, choose "Moduł prognostyczny" in the left panel, then "scenariusz bazowy"; in "wybierz przekrój" select "zawodowy", in "wybierz kategorie" select "Luka", in "Wybierz rodzaj grupy KZiS" select "średnia", in "Zawód" select all ISCO codes, select "2040" in "Rok", click "pokaż wyniki" and then "zapisz" under the table.
    Access policy
    Data access requires purchase or human approval and is not included in the reproducibility package.
    Data URL
    https://prognozy.praca.gov.pl
    Citation
    IBS, IPiSS and University of Łódź. (2022). System for Forecasting the Polish Labour Market [dataset]. Ministry of Family, Labour and Social Policy. https://prognozy.praca.gov.pl. Accessed April 2025.
    World Bank Enterprise Surveys
    Name
    World Bank Enterprise Surveys
    Note
    Filename: data/other/WBES_data.dta. Indicators built by the authors from the Formal Sector Enterprise Surveys microdata: share of firms with their own website (c22b), share using technology licensed from foreign companies (e6) and share with an internationally recognised quality certificate (b8), collapsed (mean) by country, year and industry (a4a). Merged into the regression dataset as impute_firms_website, impute_firms_foreign_tech and impute_firms_certificate (script 1_3_Table_3_data_prep). The underlying microdata require free registration through the Enterprise Surveys Data Access Protocol.
    Access policy
    Data access requires purchase or human approval and is not included in the reproducibility package.
    License
    World Bank Enterprise Surveys Data Access Protocol
    License URL
    https://login.enterprisesurveys.org/en/terms
    Data URL
    https://www.enterprisesurveys.org/en/data
    Citation
    World Bank. (2025). Enterprise Surveys [dataset]. World Bank Group. https://www.enterprisesurveys.org/en/data. Accessed June 2025.
    World Development Indicators
    Name
    World Development Indicators
    Note
    Filename: data/other/macro_wbi.dta. Log of GDP per capita, PPP (current international $) (NY.GDP.PCAP.PP.CD), averaged over 2011–2016 for PIAAC Cycle 1 countries and over 2021–2022 for PIAAC Cycle 2. Merged into the PIAAC analysis datasets as a country-level control.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 4.0 International (CC BY 4.0)
    License URL
    https://creativecommons.org/licenses/by/4.0/
    Data URL
    https://databank.worldbank.org/source/world-development-indicators
    Citation
    World Bank. (2024). World Development Indicators [dataset]. World Bank Group. https://databank.worldbank.org/source/world-development-indicators. Accessed August 2024.
    World Development Report 2020 Global Value Chain Data (EORA26 variant)
    Name
    World Development Report 2020 Global Value Chain Data (EORA26 variant)
    Note
    Filename: data/other/EORA_piaac_yearly.dta; data/other/EORA_piaac_yearly_1d.dta. Country-sector global value chain participation measures (forward and backward participation, variables gvcfsh and gvcsf) from the WDR 2020 database, based on the EORA26 multi-region input-output tables and the methodology of Borin and Mancini (2019). Secondary citations: Borin, A. and Mancini, M. 2019. Measuring What Matters in Global Value Chains and Value-Added Trade. Policy Research Working Paper 8804, WDR 2020 Background Paper. Washington, DC: World Bank Group. https://doi.org/10.1596/1813-9450-8804. Borin, A. and Mancini, M. 2015. Follow the value added: bilateral gross export accounting. Banca d’Italia, Temi di Discussione 1026. Lenzen, M., Moran, D., Kanemoto, K. and Geschke, A. 2013. Building Eora: a global multi-region input-output database at high country and sector resolution. Economic Systems Research 25(1), 20–49. https://doi.org/10.1080/09535314.2013.769938.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 4.0 International (CC BY 4.0)
    License URL
    https://creativecommons.org/licenses/by/4.0/
    Data URL
    https://thedocs.worldbank.org/en/doc/596971582220071531-0050022020/WDR2020-GVC-data
    Citation
    World Bank. (2020). WDR 2020 Global Value Chain data [dataset]. World Development Report 2020: Trading for Development in the Age of Global Value Chains. Washington, DC: World Bank. https://thedocs.worldbank.org/en/doc/596971582220071531-0050022020/WDR2020-GVC-data. Accessed March 2022.
    Workers' AI Exposure Across Development Levels
    Name
    Workers' AI Exposure Across Development Levels
    Note
    Filename: data/Figure_A2_data.dta; data/other/ai_exposure_lewandowski.dta; data/other/ai_exposure_long.dta; data/other/ai_exposure_lewandowski_europe.dta
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 4.0 International (CC BY 4.0)
    License URL
    https://creativecommons.org/licenses/by/4.0/
    Data URL
    https://piotr-lewandowski.pl/code_database/replication-package-for-workers-exposure-to-ai-across-development-stages/
    Citation
    Lewandowski, P., Madoń, K. and Park, A. (2025). Workers' AI Exposure Across Development Levels, replication package [dataset]. IZA Discussion Paper No. 18235. IZA – Institute of Labor Economics. https://piotr-lewandowski.pl/code_database/replication-package-for-workers-exposure-to-ai-across-development-stages/. Accessed June 2026.
    AI Occupational Exposure (AIOE) and underlying ability scores
    Name
    AI Occupational Exposure (AIOE) and underlying ability scores
    Note
    Filename: data/other/AIOE_Felten_isco_1d.dta; data/other/AIOE_Felten_isco_2d.dta; data/other/abilities_by_isco_1d.dta; data/other/abilities_by_isco_2d.dta; data/other/ability_base_isco_1d.dta; data/other/ability_base_isco_2d.dta; data/other/_binary_all.dta. Occupational AI exposure scores and the ability-level data they are built from, mapped to ISCO-08 1-digit and 2-digit occupations.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 4.0 International (CC BY 4.0)
    License URL
    https://creativecommons.org/licenses/by/4.0/
    Data URL
    https://github.com/AIOE-Data/AIOE
    Citation
    Felten, E., Raj, M. and Seamans, R. (2021). AI Occupational Exposure (AIOE) data [dataset]. https://github.com/AIOE-Data/AIOE. Accessed August 2024.
    Generative AI and jobs: A refined global index of occupational exposure
    Name
    Generative AI and jobs: A refined global index of occupational exposure
    Note
    Filename: data/other/Final_Scores_Gmyrek_et_al_2025.dta; data/other/adoption_isco1d.dta. Occupational generative AI exposure scores by 4-digit ISCO-08 occupation from the International Labour Organization, obtained from the authors of the study on request; the scores are also published in Table A1 of Annex 1 of the ILO working paper. Contact for requests: gmyrek@ilo.org. Accessed 2026-01.
    Access policy
    Data access was granted directly to the study authors by the data owners/managers. It was obtained with a custom data license that does not allow for redistribution and it is not included in the reproducibility package.
    Citation
    Gmyrek, P., Berg, J., Kamiński, K., Konopczyński, F., Ładna, A., Nafradi, B., Rosłaniec, K. and Troszyński, M. (2025). Generative AI and jobs: A refined global index of occupational exposure [dataset]. ILO Working Paper 140. Geneva: International Labour Organization. https://doi.org/10.54394/HETP0387. Accessed January 2026.
    Employment by Sex and Occupation, ISCO-08 2-digit and 1-digit
    Name
    Employment by Sex and Occupation, ISCO-08 2-digit and 1-digit
    Note
    Filename: data/other/EMP_weights_p1.dta; data/other/EMP_weights_isco1d_p1.dta. Employment by occupation (thousands) used as weights to aggregate occupation-level measures (variables emp and emp_total, merged in script 1_3_Table_3_data_prep). Each country has one reference year (2010, 2012 or 2013). The files also contain ln_gdp_2011 and country_group, which match the Lewandowski, Madoń and Park (2025) replication package and are not used by the code.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 4.0 International (CC BY 4.0)
    License URL
    https://www.ilo.org/rights-and-permissions#data
    Data URL
    https://ilostat.ilo.org/
    Citation
    International Labour Organization. (2026). ILOSTAT database: Employment by sex and occupation – ISCO level 2 – 19th ICLS (thousands) – Annual [dataset]. Geneva: ILO. https://ilostat.ilo.org/. Accessed February 2026.
    Social Skill Indices by Country and Occupation
    Name
    Social Skill Indices by Country and Occupation
    Note
    Filename: data/other/country_level_SOCIAL_SKILLS_piaac_and_deming_ISCO3d.dta.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 4.0 International (CC BY 4.0)
    License URL
    https://creativecommons.org/licenses/by/4.0/
    Data URL
    https://skilmeet.eu/publications/
    Citation
    Lewandowski, P. and Madoń, K. (2026). Drivers of skill use at work (Deliverable 4.1) [dataset]. SkiLMeeT, Grant agreement no. 101132581. https://skilmeet.eu/publications/. Accessed June 2026.
    International Organization for Standardization (ISO) 3166 Country Identifiers Mapping
    Name
    International Organization for Standardization (ISO) 3166 Country Identifiers Mapping
    Note
    Filename: data/other/countries_iso_more_countries.dta. Crosswalk between country names and ISO 3166 country codes.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 4.0 International (CC BY 4.0)
    License URL
    https://creativecommons.org/licenses/by/4.0/
    Data URL
    https://zenodo.org/records/22796417
    Citation
    Madoń, K. (2026). ISO 3166 country identifiers mapping [dataset]. Zenodo. https://doi.org/10.5281/zenodo.22796417. Accessed September 2026.
    Occupational Information Network (O*NET)
    Name
    Occupational Information Network (O*NET)
    Note
    File location: data/other/country_level_SOCIAL_SKILLS_piaac_and_deming_ISCO3d.dta (variables social_skills_std_us, social_skills_std). O*NET occupational ability data, obtained through the replication package of Deming (2017), are used to construct the Social Skills Index. The underlying data are produced by O*NET, U.S. Department of Labor, Employment and Training Administration (USDOL/ETA).
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Zero v1.0 Universal (CC0 1.0)
    License URL
    https://creativecommons.org/publicdomain/zero/1.0/
    Data URL
    https://doi.org/10.7910/DVN/CYPKZH
    Citation
    Deming, David. 2017. "Replication Data for: The Growing Importance of Social Skills in the Labor Market" [dataset]. Harvard Dataverse, V1. https://doi.org/10.7910/DVN/CYPKZH. Accessed February 2025.
    Data statement

    The reproducibility package relies on open, limited-access and restricted data. For the source, access type, file location, and citation of each dataset, refer to the Datasets section and the README file.

    Description

    Output
    Poland in the Age of Artificial Intelligence: Is the Workforce Ready?
    Type
    Working Paper
    Title
    Poland in the Age of Artificial Intelligence: Is the Workforce Ready?
    Description
    Policy Research Working Paper (PRWP)
    Authors
    Author Affiliation Email
    Maddalena Honorati World Bank mhonorati@worldbank.org
    Piotr Lewandowski IBS piotr.lewandowski@ibs.org.pl
    Karol Madoń IBS karol.madon@ibs.org.pl
    Date of production

    2026-11-05

    Scope and coverage

    Geographic locations
    Location Code
    Poland POL
    Keywords
    Artificial Intelligence Poland Ai Exposure Labor Markets Productivity Skills Task-Based Approach
    Topics
    ID Topic Parent topic ID Vocabulary Vocabulary URI
    J21 Labor Force and Employment, Size, and Structure J2 Journal of Economic Literature (JEL)
    J23 Labor Demand J2 Journal of Economic Literature (JEL)
    J24 Human Capital • Skills • Occupational Choice • Labor Productivity J2 Journal of Economic Literature (JEL)
    O33 Technological Change: Choices and Consequences • Diffusion Processes O3 Journal of Economic Literature (JEL)
    O47 Empirical Studies of Economic Growth • Aggregate Productivity • Cross-Country Output Convergence O4 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
    MIT License https://opensource.org/license/mit
    World Bank IGO Rider https://github.com/worldbank/metadata-editor/blob/main/WB-IGO-RIDER.md

    Contacts

    Contacts
    Name Affiliation Email
    Maddalena Honorati World Bank mhonorati@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

    2026-11-05

    Document version

    1

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