On the Impact of Artificial Intelligence on Employment: Empirical Evidence from Selected Countries

Ahmet Koseoglu () and Ali Gokhan Yucel ()
Additional contact information
Ahmet Koseoglu: Erciyes University, Kayseri, Turkiye
Ali Gokhan Yucel: Erciyes University, Kayseri, Turkiye

RAIS Conference Proceedings 2022-2025 from Research Association for Interdisciplinary Studies

Abstract: This study investigates the impact of artificial intelligence (AI) on employment in a panel of selected countries. Using a dynamic framework, we employ the two-step System Generalized Method of Moments (System-GMM) estimator with Windmeijer correction to address endogeneity and account for the persistence of labor market dynamics. High-quality AI publications are used as a proxy to measure AI development. Employment is disaggregated by gender, skill level, and age groups to capture heterogeneous effects across the labor force. The empirical results indicate that AI adoption exerts differentiated effects on employment, with younger and low-skilled workers being more exposed to displacement risks, while high-skilled groups show signs of complementarity. These findings suggest that the labor market implications of AI are uneven and depend on demographic and skill characteristics. Policy implications emphasize the importance of targeted education, skill upgrading, and adaptive labor market policies to mitigate risks and harness the potential benefits of AI-driven technological change.

Keywords: Artificial Intelligence; employment; system GMM (search for similar items in EconPapers)
Pages: 7 pages
Date: 2025-08
References: Add references at CitEc
Citations:

Published in Proceedings of the 41st International RAIS Conference on Social Sciences and Humanities, August 7-8, 2025, pages 10-17

Downloads: (external link)
https://rais.education/wp-content/uploads/0552.pdf Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:smo:raiswp:0552

Access Statistics for this paper

More papers in RAIS Conference Proceedings 2022-2025 from Research Association for Interdisciplinary Studies
Bibliographic data for series maintained by Eduard David ().