Recruitment practices in a range of industries have changed substantially as a result of the use of artificial intelligence (AI) into human resource management. AI-based recruiting solutions are being used by businesses more and more to boost talent acquisition tactics, improve candidate screening, decrease bias, and increase hiring efficiency. This study looks at how hiring effectiveness and the general caliber of talent acquisition are affected by AI-based recruitment tools. The study uses primary and secondary data sources in a descriptive research design. Structured questionnaires were utilized to collect primary data from HR professionals and job seekers, while credible online sources, HR industry papers, and scholarly publications were used to obtain secondary data. The results show that AI-driven recruiting tools greatly shorten the time to hire, improve candidate-job matching, increase screening accuracy, and help make better hiring decisions. But issues with algorithmic prejudice, data privacy, and the absence of human judgment still exist. The study comes to the conclusion that, when used strategically in conjunction with human oversight, AI-based recruitment technologies have a beneficial impact on hiring efficiency and talent quality. Companies can gain a long-term competitive edge in hiring talent by combining AI with moral leadership and open procedures.
Garg et al. (2026) studied this question.