AI–Blockchain Convergence

Abstract

Artificial intelligence (AI) and blockchain are two of the most transformative technologies of our time, each facing distinct challenges. Blockchain struggles with scalability and efficiency, while AI depends on the integrity of the data it consumes. Yet their proximity in the data value chain enables them to complement one another: AI can optimize blockchain systems through fraud detection, smart contract auditing, or enhanced analytics, while blockchain provides AI with secure, verifiable data crucial for accuracy. The technological convergence of AI and blockchain already reshapes industries such as supply chain management, finance, healthcare, energy, and intellectual property. Emerging solutions—ranging from decentralized data infrastructures to autonomous AI agents—illustrate the growing importance of this technological synergy. Companies implementing AI–blockchain solutions demonstrate enhanced performance, new data monetization opportunities, and even revenue growth. However, convergence raises challenges such as interoperability, reliance on trusted oracles, decentralized data inefficiencies, or regulatory uncertainty. This chapter builds on theories of technological convergence and disruptive innovation to assess the potential of AI–blockchain integration. Drawing on case studies and expert insights, it provides practical frameworks and roadmaps for decision-makers aiming to leverage this convergence as a driver of the next wave of digital transformation.