The Future of Recruiting: AI, Automation, and Beyond
Dr. PRINCY A S
ASSISTANT PROFESSOR
SCHOOL OF MANAGEMENT STUDIES
SATHYABAMA INSTITUTE OF SCIENCE AND TECHNOLOGY, CHENNAI – 600 119
princyprabish@gmail.com
KIRUTHIKA S
MASTER OF BUSINESS ADMINISTRATION (FINANCE & OPERATIONS)
SCHOOL OF MANAGEMENT STUDIES
SATHYABAMA INSTITUTE OF SCIENCE AND TECHNOLOGY, CHENNAI – 600 119
kiruthika20001@gmail.com
KISHORE KUMAR D
MASTER OF BUSINESS ADMINISTRATION (FINANCE & OPERATIONS)
SCHOOL OF MANAGEMENT STUDIES
SATHYABAMA INSTITUTE OF SCIENCE AND TECHNOLOGY, CHENNAI – 600 119
kishoreyadhu2205@gmail.com
ABSTRACT
Artificial intelligence (AI) and automation have emerged as transformative forces in the realm of talent acquisition, heralding a new era marked by efficiency, precision, and data-driven decision-making. By leveraging advanced algorithms and machine learning, these technologies eliminate the need for manual, time-consuming processes, enabling recruiters to focus on strategic initiatives and candidate engagement. This shift towards automated and intelligent systems not only enhances the speed and accuracy of hiring but also streamlines processes across the talent lifecycle, offering a paradigm shift in how organizations attract and secure top talent.
Furthermore, the implementation of AI-powered tools within recruitment technology adds a layer of predictive analytics and personalized candidate experiences, revolutionizing the way talent is identified and engaged. These intelligent systems facilitate efficient and reliable candidate matching, minimizing the potential for bias and improving the quality of hires. As a result, AI and automation are not only transforming traditional recruitment practices but also finding applications in candidate sourcing, screening, and onboarding, where data-driven insights and personalized interactions are paramount.
KEYWORDS
Artificial intelligence (AI), Automation, Recruitment, Talent acquisition, Machine learning, Predictive analytics, Candidate experience, Data-driven recruiting, Algorithmic bias, Talent sourcing, Candidate screening, Onboarding, HR technology, Skills-based hiring, Chatbots, Virtual assistants, Candidate relationship management (CRM), Employee value proposition (EVP).
