Artificial intelligence reconstructs brand management theory by transforming static strategic frameworks into adaptive learning systems. This chapter examines AI’s impact through systematic analysis of Aaker’s Brand Identity Model and Keller’s Customer-Based Brand Equity pyramid, demonstrating how machine learning, natural language processing, and computer vision convert traditional frameworks from prescriptive models into dynamic systems. Three transformation mechanisms are identified through empirical evidence from documented implementations: evolution from fixed positioning to behavioral adaptation, shift from linear equity building to networked engagement, and achievement of individual personalization within brand parameters. Critical analysis reveals revolutionary capabilities and inherent limitations, particularly AI’s constraints in cultural interpretation and creative breakthrough. The chapter argues that competitive advantage emerges not from algorithmic sophistication alone but from the thoughtful integration of human judgment with computational capability.