Artificial Intelligence (AI) as a Paradigm Shift in Human Resource Cycle Processes for Performance in Nigerian Universities

The integration of Artificial Intelligence (AI) into human resource cycle Processes represents a transformative shift in the management practices of Nigerian universities. This study investigates how AI can address longstanding challenges in HR processes, such as recruitment, staff development, performance appraisal, and remuneration. Traditional HR methods often suffer from inefficiencies, biases, and inconsistencies, leading to diminished Performance and effectiveness. AI technologies—encompassing machine learning, predictive analytics, and automated systems— promise to enhance these processes by automating repetitive tasks, improving decision-making accuracy, and fostering a more equitable approach to staff management. The research highlights that AI can significantly streamline recruitment by objectively evaluating candidates and reducing biases, personalize staff development through targeted training programmes, and enhance performance appraisals with real-time feedback and data-driven insights. Furthermore, AI can refine remuneration strategies by aligning compensation more closely with individual performance and market trends. The study underscores the potential benefits of AI, including increased staff Performance, improved institutional performance, and better alignment with educational objectives. However, it also notes that successful AI implementation requires careful adaptation to the specific needs of each institution. The study concludes with recommendations for Nigerian universities to invest in tailored AI solutions, continuously evaluate their impact, and integrate AI thoughtfully into their HR practices to fully realize its potential.