The rapid evolution of Artificial Intelligence (AI) is reshaping financial crime, exposing the limits of traditional theories such as Rational Choice, the Fraud Triangle, and Principal-Agent models. This chapter critically examines how these frameworks fall short in addressing the complexity, autonomy, and opacity of AI-enabled fraud and corruption. Autonomous systems, synthetic identities, and algorithmic decisionmaking challenge legal definitions of agency and liability. Through comparative legal analysis across the United States, European Union, India, and East Asia, the chapter highlights fragmented institutional responses, regulatory delays, and a lack of specialized expertise. It introduces a "techno-behavioral" framework, blending human decision-making and machine influence, to better understand AI-driven financial misconduct.