Background: This study focuses on AI's ability to automate recruitment tasks, enhancing efficiency and decision-making in talent acquisition, particularly in the context of campus placements at universities.

Objectives: It aims to explore the use of AI in campus placements within deemed-to-be universities in Rajasthan, examine the challenges faced by these institutions, and evaluate the role AI can play in improving their recruitment processes.

Methodology: The research methodology employs a quantitative approach using a structured survey distributed to 60 recruiting organisations, targeting HR professionals through purposive sampling to gather data on AI's challenges and benefits in campus hiring.

Key Findings: This study found that AI improves fairness, precision, and candidate-job matching in campus hiring but faces challenges such as evaluating soft skills, high implementation costs, and integration issues with existing HR systems.

Conclusion: This study concludes that while AI offers significant potential to streamline and enhance campus hiring processes in deemed-to-be universities in Rajasthan, technical and human-centric barriers limit its full adoption.

Implications: This study suggests that integrating AI with traditional HR practices can optimise recruitment outcomes, but organisations must address technical challenges like data requirements and implementation costs for AI to be fully effective in campus hiring.