Artificial Intelligence (AI) has transformed the operational and strategic dimensions of human resource management by introducing advanced data-driven capabilities that go beyond traditional administrative functions. Within the realm of Human Resource Analytics (HRA), AI has become a critical enabler for predictive hiring and performance evaluation, allowing organizations to identify, recruit, and retain talent with unprecedented precision. The fusion of AI with HR analytics leverages algorithms, machine learning, and natural language processing to derive insights from large-scale workforce data, enabling predictive models that anticipate employee behavior, skill gaps, and performance outcomes. This shift signifies the evolution of HR from a support function to a strategic driver of organizational competitiveness. The paper explores the transformative implications of AI in predictive hiring and performance evaluation, discussing its theoretical underpinnings, practical applications, and methodological frameworks. It delves into how AI tools enhance recruitment efficiency, reduce human bias, and support objective performance assessments through the use of structured data. The study also investigates the balance between algorithmic precision and human judgment, emphasizing ethical and governance dimensions. With the growing adoption of AIbased analytics platforms, HR departments are redefining workforce strategies that prioritize inclusion, transparency, and accountability. The analysis presents the methodologies through which predictive models identify top talent, forecast employee turnover, and optimize performance management systems. Through this exploration, the paper provides a nuanced understanding of the evolving HR ecosystem shaped by AI innovations, offering a roadmap for organizations aspiring to achieve sustainable human capital excellence. Ultimately, the integration of AI in HR analytics is not merely a technological shift but a cultural transformation redefining how organizations perceive and manage human potential in a data-centric economy.