The growing use of Generic Artificial Intelligence (AI) is transforming recruitment and staffing processes in the Information Technology (IT) industry. AI tools such as automated resume screening, chatbot-based interview scheduling, and predictive candidate matching are now being widely adopted to improve speed, reduce hiring costs, and support data-driven decisions (Black & van Esch, 2020; Upadhyay & Khandelwal, 2018). These tools also aim to reduce human bias in hiring decisions (Rai & Tang, 2020). However, the increasing dependence on AI raises serious concerns about fairness, transparency, privacy, and the ethical use of data (Raghavan et al., 2020; Ajunwa, 2020). This paper inspects the impact of Generic Artificial Intelligence on IT recruitment in Western Maharashtra, specifically its influence on HR roles, candidate experience, and organizational diversity. Used a stratified purposive sampling method. This paper employed a mixed-methods and an explanatory sequential design. Researchers observed recruiter-AI interactions and candidate interactions with chatbots. Here, high-tech, large firms are considered for the survey. It highlights the need for ethical implementation of AI systems that promote inclusion and ensure that AI complements, rather than replaces, human decision-making. The findings provide valuable insights for IT companies and HR professionals to adopt AI responsibly, while maintaining fairness and trust in the hiring process (Chamorro-Premuzic et al., 2019; Leicht-Deobald et al., 2019)..