Evaluating the Impact of AI-Enabled Appraisal Practices on Millennial Career Advancement: A Gender Equality Perspective in Mumbai Workplaces

Abstract The increasing integration of Artificial Intelligence (AI) into human resource management has transformed traditional performance appraisal through data-driven evaluation, continuous feedback, predictive analytics, and automated decision-making. This study evaluates the impact of AI-enabled appraisal practices on millennial career advancement, with particular emphasis on gender equality in Mumbai workplaces. It examines AI-supported performance evaluation, feedback, competency assessment, and data-driven appraisal decisions in relation to career growth, promotion opportunities, professional development, and advancement. It also considers whether perceived gender equality and fairness are associated with career advancement and mediate the relationship between AI-enabled appraisal practices and career advancement. The study adopts a quantitative approach using a structured questionnaire among millennial employees in selected Mumbai workplaces. The findings indicate positive relationships among AI-enabled appraisal practices, perceived gender equality/fairness, and career advancement. The study contributes to the emerging literature on AI in HRM by connecting technology-enabled appraisal, career development, and gender equality. It also highlights the importance of transparency, consistency, human oversight, and ethical governance when implementing AI-supported appraisal systems.