Purpose: With Industry 4.0, a rapid digitalization process has become inevitable for all businesses, including labor-intensive ones. On the other hand, traditional work-study techniques have a critical role in productivity measurement and monitoring. In this study, it is aimed that a research and evaluation study is conducted on the new role of work-study techniques in this digitalization process. Methodology: In order to make this evaluation, a way of comprehensive literature survey and examination of real-world examples of handled techniques were followed. Findings: When the response of work study techniques to digitalized business processes is examined, it is possible to say that traditional techniques have largely adapted to this process. It is seen that artificial intelligence techniques, play a critical role in the digitalization of businesses in the industrial revolution, also trigger the digitalization of work measurement techniques. In addition, it is seen that traditional work study techniques adapt to the changing needs of enterprises that arise during the transition to Industry 4.0 by integrating with artificial intelligence and other digital opportunities that come with Industry 4.0. Originality: Examining the effect of digital transformation processes in production environments on traditional work-study techniques, analyzing the change, and besides this presenting a future projection for the related techniques make this study original.