Abstract: The application of Artificial Intelligence (AI) in human resource activities has dramatically altered the hiring process in industries. This research examines the use of AI in contemporary recruitment strategies, noting how AI-based tools and technologies are utilized to increase the efficiency, accuracy, and effectiveness of employee hire decisions. The investigation examines multiple uses of AI, including resume screening, chatbots for candidate interaction, predictive analytics in employee hiring decisions, and reducing bias in hiring. By way of a synthesis of secondary data analysis and review of case studies, the research assesses the advantages and disadvantages of AI implementation in talent recruitment. The research finds that AI can optimize the hiring processes, save time-to-hire, enhance candidate matching, and improve the general candidate experience.

AI is, however, also said to be accompanied by issues of data privacy, algorithmic bias, ethical openness, and the risk of dehumanizing the recruitment process. Methodologically, the study relies on qualitative evidence from recent case studies, reports, and academic literature in order to provide insights into real-world applications and challenges. The research indicates that although AI significantly enhances operational efficiency and accuracy in hiring, it also introduces ethical and technical challenges—like data security, algorithmic fairness, lack of transparency, and the risk of job displacement for HR professionals.

Keywords: HR Technology, Data-Driven Hiring, Digital Recruitment Tools, Intelligent Hiring Systems

Downloads: | DOI: 10.17148/IARJSET.2026.13227