The convergence of blockchain and artificial intelligence (AI) is revolutionizing secure data management and intelligent decision-making across industries. This paper investigates the transformative potential of integrating blockchain’s immutable, decentralized ledger systems with AI’s predictive and cognitive capabilities. Through comprehensive literature synthesis and analysis, the study highlights how AI enhances the efficiency of smart contract execution and decision-making while blockchain fortifies data provenance, authentication, and security. Applications in healthcare, supply chains, financial systems, and the Internet of Things (IoT) are examined, emphasizing the dual benefits of transparency and automation. The paper discusses decentralized identity systems, fraud detection, compliance assurance, and ethical concerns surrounding this integration. A blockchain-AI hybrid framework is proposed to support tamper-proof data integrity, enhance cybersecurity, and optimize industrial processes. Future directions suggest the necessity of establishing global standards and ethical protocols to realize the full potential of this synergy. The study concludes that the AI-blockchain fusion is a cornerstone for next-generation secure digital ecosystems.