@article{article_1798200, title={Transformation of Routine Jobs in the Türkiye Labor Market: A Quantitative Analysis of the Effects of Artificial Intelligence and Technological Change on Employment (2014–2024)}, journal={Akademik Tarih ve Düşünce Dergisi}, volume={12}, pages={180–199}, year={2025}, DOI={10.46868/atdd.2025.1010}, author={Saraç, Hakan}, keywords={Rutin İşler, İstihdam Kutuplaşması, Yapay Zekâ, Otomasyon, Türkiye İşgücü Piyasası}, abstract={This study quantitatively analyzes the transformation of Türkiye’s labor market between 2014 and 2024 in terms of job task intensity. Using Mihaylov and Tijdens’ (2019) ISCO-08 task dataset and TurkStat employment data, it identifies major structural shifts driven by technological progress and artificial intelligence–assisted automation. The share of non-routine cognitive jobs increased by 5.2%, while routine manual and non-routine manual jobs declined by 3.3% and 1.8%, respectively. These findings indicate a transition toward knowledge-based sectors and growing employment polarization. High-skilled professional and technical roles expanded, whereas middle-skilled occupations, including skilled agriculture and artisanal work, contracted. Wage structures increasingly favored high-skilled, non-routine cognitive occupations, while gender pay disparities persisted. The study underscores the need for vocational education reforms, targeted incentives, and large-scale reskilling programs to enhance labor market adaptability to technological change.}, number={Özel Sayı 2025-1}, publisher={Hakan YILMAZ}