Impact of AI in Recruitment Efficiency in Software Industries

Abstract

Effective hiring practices are crucial to maintaining competitiveness in the talent-driven software industry. Artificial intelligence (AI) tools like as natural language processing (NLP) can increase candidate engagement, increase candidate-role matching, and automate processes. Predictive analytics, machine learning, and natural language processing (NLP) are radically altering the recruiting process. This conceptual paper explores how AI increases recruitment efficiency in the software industries by combining previous research, developing a conceptual framework, and offering examples from leading software companies including Microsoft, IBM, TCS, and Infosys. The article outlines the benefits and challenges of using AI in hiring and offers some suggestions for additional empirical research.