This whitepaper explores the increasing integration of artificial intelligence (AI) agents into recruitment and hiring systems worldwide. AI agents—automated software systems that perform tasks such as candidate screening, interviewing, assessment, and recommendation—are becoming central tools in modern talent acquisition. Their adoption is driven by the need for efficiency, scalability, and data-informed decision-making in a labor market that is both globalized and digitally enabled. While these technologies offer clear benefits to employers, including faster hiring processes and reduced administrative burden, they also raise important challenges. Concerns around algorithmic bias, data privacy, transparency, and regulatory compliance are growing as these tools become more sophisticated and widely implemented. This paper provides a balanced and neutral analysis of both the opportunities and risks associated with the use of AI in hiring. The analysis draws from real-world case studies, current industry practices, and international policy developments, including emerging legislation such as the European Union’s AI Act, U.S. anti-discrimination frameworks, and data governance models in Asia. It also categorizes AI agents by function—such as conversational bots, resume filters, assessment tools, and predictive analytics platforms—and assesses their operational impact. Designed to inform HR professionals, policymakers, researchers, and AI developers, this whitepaper highlights the strategic considerations necessary for the responsible use of AI in recruitment. It argues that the effectiveness of AI agents depends not only on technical performance, but also on ethical implementation, stakeholder trust, and regulatory alignment. The findings contribute to a broader understanding of how AI technologies are shaping the future of work and workforce management.