Inteligência artificial nos processos de recrutamento e seleção: uma análise bibliométrica e qualitativa da literatura científica

Abstract

This study analyzes trends in the scientific literature on the use of Artificial Intelligence (AI) in recruitment and selection processes, adopting the context of sales professionals as a complementary interpretive axis and considering implications for professional profiles, required competencies, and the strategic role of Human Resources. The research adopts a qualitative and quantitative, descriptive, and exploratory approach, developed through a systematized literature review supported by bibliometric analysis. The survey was conducted in the Web of Science Core Collection database, resulting in a final corpus of 36 articles published between 2021 and 2026, analyzed in terms of the temporal evolution of publications, document types, countries of origin, and the main categories and fields of knowledge. In addition to the bibliometric analysis, the studies were subjected to a qualitative analysis organized into thematic categories concerning forms of AI use, perceived benefits, ethical, technical, and legal risks, and the role of HR. Implications for the competencies valued in sales professionals were discussed by articulating the corpus findings with the theoretical framework. The findings indicate that, although AI enhances agility and accuracy in hiring processes, it also imposes ethical, technical, and cultural challenges, such as algorithmic bias, lack of transparency, and the need for human oversight. The study concludes that the strategic use of AI can positively transform talent management, provided that it is implemented transparently, critically, and with a human-centered approach.