Exploring the synergy of artificial intelligence and blockchain in business: Insights from a bibliometric-content analysis

Artificial intelligence (AI), Machine Learning (ML), and blockchain technology are revolutionizing businesses by fostering creativity, efficiency, and security across a range of sectors. This paper explores the mutually beneficial relationship between these technologies using bibliometrics and content analysis, shedding light on their emerging applications and new research directions. We identify key industries like banking, supply chain management, and healthcare where blockchain and artificial intelligence are significantly influencing these disciplines by looking at a broad range of academic and commercial publications. Findings indicate that combining blockchain's decentralized security characteristics with AI-driven predictive analytics enhances automated decision-making, fraud detection, and transparent transactions. In a similar vein, supply chain management employs AI to forecast demand and maximize inventory, while smart contracts driven by blockchain technology streamline transportation. Blockchain and AI integration are used in healthcare applications to improve diagnosis, safeguard patient information, and facilitate interoperable medical records. Despite these advancements, problems with scalability, regulatory ambiguity, and technical complexity are impeding widespread adoption. Multidisciplinary collaboration, innovative policymaking, and advancements in blockchain and AI infrastructures are required to address these issues. By mapping the most significant papers, organizations, and academics that are affecting the field, this study offers valuable information for future research and business endeavors in this transformative sector.