AUTOMATION AND THE EMPLOYMENT PARADOX: OECD EXPERIENCE
Article Sidebar
Main Article Content
Аннотация:
This article explores the paradox of automation in OECD countries: while technological transformation significantly enhances productivity, its employment effects remain uncertain and uneven. Automation, artificial intelligence (AI), and robotics create efficiency gains and new opportunities in digital sectors but simultaneously displace routine and middle-skill jobs. This duality reflects the “employment paradox,” where economic growth does not necessarily translate into inclusive job creation. Drawing on recent OECD reports and international studies, the article analyzes how automation drives productivity, alters labor demand, and reshapes employment structures. The findings emphasize the importance of digital skills, lifelong learning, and institutional adaptability to ensure that automation contributes not only to efficiency but also to inclusive labor market development.
Article Details
Как цитировать:
Библиографические ссылки:
Acemoglu, D., & Restrepo, P. (2020). Robots and Jobs: Evidence from US Labor Markets. Journal of Political Economy, 128(6), 2188–2244.
Autor, D., Levy, F., & Murnane, R. (2003). The Skill Content of Recent Technological Change. Quarterly Journal of Economics, 118(4), 1279–1333.
Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age. W. W. Norton & Company.
International Labour Organization (ILO). (2021). World Employment and Social Outlook: The Role of Digital Labour Platforms. Geneva: ILO.
OECD. (2020). Digital Economy Outlook 2020. Paris: OECD Publishing.
OECD. (2022). Skills Outlook 2022: Skills for a Resilient Green and Digital Transition. Paris: OECD Publishing.
OECD. (2023). Employment Outlook 2023: Artificial Intelligence and the Labour Market. Paris: OECD Publishing.
Van Ark, B. (2016). The Productivity Paradox of the New Digital Economy. International Productivity Monitor, 31, 3–18.
World Economic Forum. (2023). The Future of Jobs Report 2023. Geneva: WEF.