• Manish Jangra
• Dr. Preeti

Blockchain and Artificial Intelligence (AI) are two of the most transformative technologies of the modern era. Blockchain's decentralized, transparent, and immutable nature offers a counterbalance to AI’s data-driven, complex, and often opaque decision-making processes. This paper reviews the convergence of these technologies, analyzing their synergies, challenges, and potential applications. While blockchain enhances AI’s transparency, verifiability, and security, AI optimizes blockchain efficiency by automating decision-making and improving data analysis. However, computational costs, storage constraints, and integration complexities present significant barriers. We categorize Blockchain-AI use cases into four clusters based on the level of integration and explore key applications, including decentralized AI marketplaces, AI-powered smart contracts, and privacy-preserving AI models. Despite immense potential, widespread adoption remains hindered by technical, regulatory, and scalability concerns. This review provides insights into ongoing research, highlighting future directions for overcoming these challenges.

Blockchain , Artificial Intelligence (AI, Blockchain- AI integrated, computional costs, storage constraints privacy-preserving

"Blockchain and AI Convergence: Unlocking a Decentralized Intelligent Future", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.g48-g51, March-2025, Available :http://www.jetir.org/papers/JETIR2503605.pdf

"Blockchain and AI Convergence: Unlocking a Decentralized Intelligent Future", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. ppg48-g51, March-2025, Available at : http://www.jetir.org/papers/JETIR2503605.pdf