{
  "title": "Artificial Intelligence and the Philippine Labor Market: Mapping Occupational Exposure and Complementarity",
  "publication": "IMF Working Papers, February 21, 2025",
  "sourceUrl": "https://www.imf.org/en/publications/wp/issues/2025/02/21/artificial-intelligence-and-the-philippine-labor-market-mapping-occupational-exposure-and-562171",
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  "summary": "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.",
  "sections": [
    {
      "heading": "Key findings",
      "content": "- The paper combines labor force survey microdata with measures of occupational AI exposure and complementarity to assess recent AI advancements' potential impact on the Philippine labor market.\n- Around one third of workers are highly exposed to AI.\n- Around sixty percent of those highly exposed workers are also rated highly complementary, indicating potential productivity gains.\n- College-educated, young, urban, female, and well-paid workers in the services sector are the groups most exposed to AI.\n- Business process outsourcing (BPO) is identified as the sector with the highest proportion of jobs at risk of displacement."
    },
    {
      "heading": "Analytical focus and methods",
      "content": "- Uses labor force survey microdata together with occupational AI exposure and complementarity measures to map potential impacts across occupations and worker characteristics."
    },
    {
      "heading": "Implications and policy recommendations",
      "content": "- Address regulatory gaps to manage risks and facilitate beneficial AI adoption.\n- Improve infrastructure to support AI-enabled productivity gains.\n- Prioritize workforce reskilling to mitigate negative impacts and capture complementarities between workers and AI.\n\n---\n\n Content in this bundle\n\n- Working Paper\n  - Working Paper (Markdown version){rel=\"alternate\" type=\"text/markdown\"}\n  - Working Paper (PDF){rel=\"external\" type=\"application/pdf\"}\n\n---\n\nSource: https://www.imf.org/en/publications/wp/issues/2025/02/21/artificial-intelligence-and-the-philippine-labor-market-mapping-occupational-exposure-and-562171"
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    "Authors: Micholo Cucio, Tristan Hennig",
    "Published: February 21, 2025",
    "Series: IMF Working Papers",
    "DOI: https://doi.org/10.5089/9798229001977.001",
    "The paper combines labor force survey microdata with measures of occupational AI exposure and complementarity to assess recent AI advancements' potential impact on the Philippine labor market.",
    "Around one third of workers are highly exposed to AI.",
    "Around sixty percent of those highly exposed workers are also rated highly complementary, indicating potential productivity gains.",
    "College-educated, young, urban, female, and well-paid workers in the services sector are the groups most exposed to AI.",
    "Business process outsourcing (BPO) is identified as the sector with the highest proportion of jobs at risk of displacement.",
    "Uses labor force survey microdata together with occupational AI exposure and complementarity measures to map potential impacts across occupations and worker characteristics.",
    "Address regulatory gaps to manage risks and facilitate beneficial AI adoption.",
    "Improve infrastructure to support AI-enabled productivity gains.",
    "Prioritize workforce reskilling to mitigate negative impacts and capture complementarities between workers and AI.",
    "**Working Paper**"
  ],
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