IDEAS home Printed from https://ideas.repec.org/p/imf/imfwpa/2025-043.html
   My bibliography  Save this paper

Artificial Intelligence and the Philippine Labor Market: Mapping Occupational Exposure and Complementarity

Author

Listed:
  • Micholo Cucio
  • Tristan Hennig

Abstract

This paper combines labor force survey microdata with measures of occupational AI exposure and complementarity to examine the potential impact of recent advancements in AI on the Philippine labor market. We find that around one third of workers are highly exposed to AI with around sixty percent of those also rated highly complementary, indicating potential productivity gains. College-educated, young, urban, female, and well-paid workers in the services sector are most exposed. Business process outsourcing (BPO) is identified as the sector with the highest proportion of jobs at risk of displacement. Addressing regulatory gaps, infrastructure needs, and workforce reskilling is crucial to maximize benefits and mitigate negative impacts.

Suggested Citation

  • Micholo Cucio & Tristan Hennig, 2025. "Artificial Intelligence and the Philippine Labor Market: Mapping Occupational Exposure and Complementarity," IMF Working Papers 2025/043, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:2025/043
    as

    Download full text from publisher

    File URL: http://www.imf.org/external/pubs/cat/longres.aspx?sk=562171
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:imf:imfwpa:2025/043. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Akshay Modi (email available below). General contact details of provider: https://edirc.repec.org/data/imfffus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.