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Digital Transformation: Challenges and Opportunities for the Irish Labour Market

Author

Listed:
  • Yadav, Anil

    (Central Bank of Ireland)

  • McIndoe-Calder, Tara

    (Central Bank of Ireland)

Abstract

AI and digital automation technologies have the potential to reshape labour markets and economies in difficult to predict ways. This Article examines the link between digital transformation and the Irish labour market, with four main findings. First, we find that at least 14 per cent of the current workforce may be employed in jobs with both high exposure to and low potential for augmentation by digitally transformed employment. Second, to date demand for AI-related skills is concentrated in ICT, Finance, and Professional Services, which combined account for 20 per cent of the workforce. Third, labour demand for highly skilled workers is running ahead of new domestic supply in key fields such as ICT and engineering. Fourth, our analysis indicates that digital skills mismatch is a significant barrier to occupational mobility, with higher mismatch associated with a lower probability of transitioning between occupations. These findings reflect current labour market conditions but AI technologies are developing quickly, such that further ongoing analysis is warranted. Public policy has a role to play in targeting retraining supports towards the most exposed occupations and sectors to facilitate workforce adaptability.

Suggested Citation

  • Yadav, Anil & McIndoe-Calder, Tara, 2026. "Digital Transformation: Challenges and Opportunities for the Irish Labour Market," Quarterly Bulletin Articles, Central Bank of Ireland, pages 1-44, March.
    • Handle: RePEc:cbi:qtbart:y:2026:m:03:p:1-44
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    References listed on IDEAS

    as
    1. Pouliakas, Konstantinos & Branka, Jiri, 2020. "EU Jobs at Highest Risk of COVID-19 Social Distancing: Will the Pandemic Exacerbate Labour Market Divide?," IZA Discussion Papers 13281, IZA Network @ LISER.
    2. Fatih Guvenen & Burhan Kuruscu & Satoshi Tanaka & David Wiczer, 2020. "Multidimensional Skill Mismatch," American Economic Journal: Macroeconomics, American Economic Association, vol. 12(1), pages 210-244, January.
    3. Brad Hershbein & Lisa B. Kahn, 2018. "Do Recessions Accelerate Routine-Biased Technological Change? Evidence from Vacancy Postings," American Economic Review, American Economic Association, vol. 108(7), pages 1737-1772, July.
    4. Philip Trammell & Anton Korinek, 2023. "Economic Growth under Transformative AI," NBER Working Papers 31815, National Bureau of Economic Research, Inc.
    5. Artuç, Erhan & McLaren, John, 2015. "Trade policy and wage inequality: A structural analysis with occupational and sectoral mobility," Journal of International Economics, Elsevier, vol. 97(2), pages 278-294.
    6. Guido Matias Cortes & Giovanni Gallipoli, 2018. "The Costs of Occupational Mobility: An Aggregate Analysis," Journal of the European Economic Association, European Economic Association, vol. 16(2), pages 275-315.
    7. repec:ces:ceswps:_10955 is not listed on IDEAS
    8. Ekaterina Prytkova & Fabien Petit & Deyu Li & Sugat Chaturvedi & Tommaso Ciarli, 2024. "The Employment Impact of Emerging Digital Technologies," CEPEO Working Paper Series 24-01, UCL Centre for Education Policy and Equalising Opportunities, revised Feb 2024.
    9. Francesca Borgonovi & Flavio Calvino & Chiara Criscuolo & Lea Samek & Helke Seitz & Julia Nania & Julia Nitschke & Layla O’Kane, 2023. "Emerging trends in AI skill demand across 14 OECD countries," OECD Artificial Intelligence Papers 2, OECD Publishing.
    10. Christina Gathmann & Uta Schönberg, 2010. "How General Is Human Capital? A Task-Based Approach," Journal of Labor Economics, University of Chicago Press, vol. 28(1), pages 1-49, January.
    Full references (including those not matched with items on IDEAS)

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