The Future of Recruitment: Analyzing the Impact of Artificial Intelligence on Evolving Hiring Processesand Strategies

Abstract

The recruitment process poses significant challenges for many organizations, often proving to be both costly
and time-consuming. The task of identifying and selecting the most suitable candidates is frequently
hindered by subjective decision-making and inefficiencies, which can lead to suboptimal hiring outcomes.
To mitigate these issues, businesses have increasingly turned to technology, incorporating internet-based
platforms and specialized software to streamline application submissions and candidate evaluations.
However, despite these technological interventions, coordinating the entire recruitment process remains
labor-intensive, requiring considerable time and financial resources. In response to these persistent
challenges, there has been a growing adoption of Artificial Intelligence (AI) in recruitment processes on a
global scale. AI's integration into recruitment has demonstrated potential in reducing costs, minimizing
decision-making errors, and significantly improving efficiency by saving time. This paper examines the
transformative impact of AI on recruitment within the broader context of Human Resource Management
(HRM). It explores the specific stages of the traditional recruitment process where AI can be effectively
implemented to enhance overall efficiency and effectiveness. Additionally, this paper considers the broader
implications of AI integration in recruitment, including its potential to redefine traditional HRM practices.