AUTOMATION OF HUMAN LABOR: A STUDY ON THE PROBABILITY OF CURRENT OCCUPATIONS IN THE CITY OF SOBRAL/CE

Abstract

The present work investigates the impact of automation on the labor market in the municipality of Sobral, Ceará. By analyzing data from formal occupations and cross-referencing it with studies on the probability of automation, the study seeks to identify the positions most vulnerable to replacement by machines and intelligent systems in the next 10 years. The research is justified by the growing influence of technology on work dynamics. The evolution of artificial intelligence and robotics allows repetitive and manual tasks to be automated, which raises questions about the future of employment and the need for companies and workers to adapt. The study focuses on Sobral to offer a local overview of the ongoing transformations. To develop this work, a structured observation of data on formal occupations registered with the agencies for the promotion of work and employment for the city of Sobral, in Ceará, was carried out. Then, the method of Frey & Osbourne in Lima (2019) was applied to obtain the probability of automation of occupations. In this bibliometric and documentary study, in its entirety, to perceive and prospect what are the possible scenarios and possibilities that the evolution of work automation will bring in 10 years to the municipality of Ceará mentioned. It is concluded that given the importance of the theme, it is necessary to develop projects that aim at the formation of a corpus, which can trigger competencies and skills to ensure a higher quality transition for these occupations that will suffer from the changes, and that meet the different needs and, thus, implement a policy of monitoring the automated occupations and occupations created by technological changes in Sobral/CE.