Transformation of Routine Jobs in the Turkish Labor Market: A Quantitative Analysis of the Effects of Artificial Intelligence and Technological Change on Employment (2014–2024)
Year: 2025
Type: article
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.
Author: Hakan Saraç
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4415732776
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