Kwan Hong TAN 1 The AI-Augmented MBA Paradigm: Reconceptualizing Business Education Relevance in the Era of Artificial Intelligence Kwan Hong TAN Associate Faculty Singapore University of Social Sciences khtan055@suss.edu.sg 16 June 2025 Abstract This thesis examines the relevance of Master of Business Administration (MBA) programs in the modern economic environment, with particular focus on the transformative impact of artificial intelligence on business education and career outcomes. Through comprehensive analysis of empirical data, longitudinal studies, and industry trends, this research challenges prevailing narratives about the declining value of MBA education in the AI era. Instead, it proposes a novel theoretical framework—the AI-Augmented MBA Paradigm—which reconceptualizes business education as a platform for human-AI collaboration rather than a domain threatened by technological displacement. The research synthesizes data from multiple sources, including the Graduate Management Admission Council's 2024 Application Trends Survey, employment reports from leading business schools, and recent academic literature on AI's impact on business and management. The analysis reveals that MBA applications have increased by 15-23% at top-tier institutions in 2024, with 80% of full-time programs reporting growth, contradicting assumptions about declining relevance. Employment outcomes remain robust, with median starting salaries of 175,000 and total compensation packages reaching 280,000 at elite institutions. The thesis introduces the AI-Augmented MBA Paradigm, a theoretical framework grounded in three core propositions: the Symbiosis Principle, which posits that future business value lies