The Impact of Artificial Intelligence (AI) on Recruitment Process

This paper investigates the impact of Artificial Intelligence (AI) on the recruitment process, aiming to assess its effectiveness in enhancing efficiency, increasing the variety and representation of different demographics, backgrounds, and experiences among job applicants’ diversity, and reducing hiring costs while also addressing potential challenges and ethical implications of AI adoption. Employing a mixed-methods approach, the research integrates quantitative data from a structured survey of 111 HR professionals and recruiters with qualitative insights obtained from semi-structured interviews to provide a comprehensive understanding of AI’s role in recruitment. The results indicate that the integration of AI significantly enhances recruitment efficiency, reflected in a strong mean score of 3.82 for improved hiring processes and a mean score of 3.79 for positive impacts on recruitment outcomes. However, while there is moderate support for AI’s role in promoting candidate diversity (mean score of 3.32), concerns remain regarding its effectiveness in reducing bias. Additionally, participants acknowledge the potential for AI to lower hiring costs, although perceptions vary. This study offers valuable insights into the dual potential of AI in recruitment highlighting benefits such as increased efficiency and cost reduction while also reflecting on mixed opinions about its impact on diversity. The findings provide actionable recommendations for organizations looking to navigate the complexities of AI integration in hiring practices.