Fatih Okur
Papers
1
Total Citations
2
H-Index
1
About
Fatih Okur is a rising scholar whose work sits at the critical intersection of artificial intelligence, labor economics, and macroeconomic policy. His research provides fresh, data-driven insights into how rapid technological change reshapes employment dynamics, particularly in advanced economies. Okur’s most-cited paper, “Artificial intelligence, automation and employment dynamics: empirical evidence from G7 economies” (2025), breaks new ground by examining the combined, long-term effects of AI and automation—rather than treating them in isolation. This study offers a nuanced empirical framework that helps policymakers and economists understand the complex, non-linear relationship between technological adoption and job displacement. Though early in his career, with this work already garnering 2 citations, Okur is establishing himself as a key voice in the debate on the future of work. His contributions are especially timely as nations grapple with the socioeconomic implications of Industry 4.0. For students and researchers interested in the real-world consequences of AI, Okur’s work is an essential starting point—blending rigorous econometric analysis with pressing policy relevance.
Research Focus
Key Achievements
Top Papers
- 1