Artificial intelligence, change of jobs and unemployment

This study is a comprehensive academic research that examines the transformation of artificial intelligence technologies on the labor market in economic and sociological dimensions, starting from the technological transformation process of human history. The main focus of the study is the effects of artificial intelligence on the workforce. In particular, the transformation in the agriculture, manufacturing, and service sectors is examined in detail; it is shown that while artificial intelligence increases productivity, it also leads to unemployment among low-skilled labor, skill mismatches, and inequality of opportunity. At the same time, it has been evaluated how the structure of the workforce has changed with the emergence of new professions requiring high cognitive skills and how this change has deepened social inequalities. The study examines not only technological advances but also the multi-layered effects of these advances on individuals, sectors and society within a sociological framework. In addition to the opportunities offered by artificial intelligence, it brings up the need for transformation in various areas from education to social policy, and offers solutions such as reskilling, upskilling, and robot tax. This research, prepared with a qualitative method, is supported by a literature review and does not include empirical field work. Rather than the technical aspects of artificial intelligence technologies, the focus is on the socio-economic transformations they bring about. In particular, the automation of production, the decreasing need for human labor, the emergence of new job definitions, and the restructuring of work processes are examined in a comprehensive manner. Keywords: Artificial Intelligence, Automation, Employment, Sectoral Impacts, Unemployment, Inequality