Lee, King Fuei (2024): Artificial Intelligence and Labour Markets in Southeast Asia: An Empirical Examination. Forthcoming in: Asian Economics Letters
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Abstract
The surge in artificial intelligence (AI) has significantly impacted industries and job roles, raising concerns about its effects on labour markets. This study examines AI's influence on employment and wages within the ASEAN region, using a patent-based measure of AI exposure. Findings indicate that while AI generally displaces jobs, the impact varies by country. Most ASEAN countries experienced a reinstatement effect, except Indonesia and Thailand where displacement occurred. Singapore showed a complementarity effect. Education emerges as a key policy tool to counteract AI's negative labour market impacts, encouraging job complementarity.
Item Type: | MPRA Paper |
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Original Title: | Artificial Intelligence and Labour Markets in Southeast Asia: An Empirical Examination |
Language: | English |
Keywords: | ASEAN, Southeast Asia, artificial intelligence, automation, employment, wages, labour market |
Subjects: | E - Macroeconomics and Monetary Economics > E2 - Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy > E24 - Employment ; Unemployment ; Wages ; Intergenerational Income Distribution ; Aggregate Human Capital ; Aggregate Labor Productivity J - Labor and Demographic Economics > J2 - Demand and Supply of Labor > J24 - Human Capital ; Skills ; Occupational Choice ; Labor Productivity J - Labor and Demographic Economics > J6 - Mobility, Unemployment, Vacancies, and Immigrant Workers > J62 - Job, Occupational, and Intergenerational Mobility J - Labor and Demographic Economics > J6 - Mobility, Unemployment, Vacancies, and Immigrant Workers > J64 - Unemployment: Models, Duration, Incidence, and Job Search O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O33 - Technological Change: Choices and Consequences ; Diffusion Processes |
Item ID: | 123744 |
Depositing User: | King Fuei Lee |
Date Deposited: | 14 Mar 2025 08:49 |
Last Modified: | 14 Mar 2025 08:49 |
References: | Acemoglu, D. and Restrepo, P., 2019. Automation and New Tasks: How Technology Displaces and Reinstates Labour. Journal of Economic Perspectives, 33(2), pp.3-30. Albanesi, S., da Silva, A., Jimeno, J., Lamo, A. and Wabitsch, A., 2023. New Technologies and Jobs in Europe (No. w31357). National Bureau of Economic Research. Arntz, M., Gregory, T. and Zierahn, U., 2016. The Risk of Automation for Jobs in OECD Countries. OECD Social, Employment and Migration Working Papers. Autor, D., Levy, F. and Murnane, R., 2003. The Skill Content of Recent Technological Change: An Empirical Exploration. The Quarterly Journal of Economics, 118(4), pp.1279-1333. Frey, C.and Osborne, M., 2017. The Future of Employment: How Susceptible Are Jobs to Computerisation?. Technological Forecasting and Social Change, 114, pp.254-280. Webb, M., 2019. The Impact of Artificial Intelligence on the Labour Market. Available at SSRN 3482150. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/123744 |