Artificial Intelligence and the Philippine Labor Market: Mapping Occupational Exposure and Complementarity
IMF Working Papers, February 21, 2025
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- Artificial Intelligence and the Philippine Labor Market: Mapping Occupational Exposure and Complementarity
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Bibliographic details
- Authors: Micholo Cucio, Tristan Hennig
- Published: February 21, 2025
- Series: IMF Working Papers
- DOI: https://doi.org/10.5089/9798229001977.001
Key findings
- 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.
Analytical focus and methods
- Uses labor force survey microdata together with occupational AI exposure and complementarity measures to map potential impacts across occupations and worker characteristics.
Implications and policy recommendations
- 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.
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- Working Paper