Artificial Intelligence as a Supporting Tool in Staff Selection for Businesses in the Construction Sector

High staff turnover, influenced by the temporality and complexity of projects, poses significant operational and economic challenges. This research analyzes the integration of artificial intelligence (AI) in talent acquisition processes, given the existing relationship between staff selection and turnover. The main objective is to particularly focus on the construction and project management sectors. Through a bibliometric analysis and a systematic review based on the PRISMA guidelines, trends, tools, and applications regarding AI in recruitment are identified. The results underscore the potential of AI for automating tasks, optimizing the evaluation of candidates, and improving decision-making. However, some associated risks are recognized, such as the handling of biases, ethical concerns, and the need for clear regulations. This research demonstrates that AI can transform staff selection processes by improving their efficiency and aligning candidate selection with organizational objectives. In addition, it provides a basis for future research in sectors such as construction, where characteristics demand innovative and strategic solutions.