The study investigates the intersection of AI, tokenisation, and financial market structure, specifically focusing on how AI influences the pricing of tokenized data assets. It explores governance frameworks for fair valuation and consumer protection, as well as regulatory approaches for hybrid AI-tokenisation systems spanning traditional and decentralized infrastructures. The paper employs a multi-method approach, including theoretical modeling, empirical analysis of pricing data from 2020-2025, and policy assessment through comparative regulatory analysis and expert interviews.