This research explores the convergence of smart networks, artificial intelligence (AI), and blockchain technology as a foundation for future innovation. The rapid development of information and communication technology has driven increasing integration between AI and blockchain in infrastructure networks. The study uses a comprehensive literature review and in-depth analysis of the latest trends in this technology. It examines issues such as interoperability, security, and privacy challenges in integrating AI and blockchain. The results show that this convergence has the potential to improve efficiency, transparency, and security in various applications, including supply chain management and financial services. However, challenges such as scalability and regulation must be addressed to realize the full potential of this convergence. The study concludes that the integration of AI and blockchain expands the scope of technological innovation by leveraging the strengths of each, but more efforts are needed to address further issues for widespread and sustainable implementation. The research also highlights the importance of security and technology scalability in the convergence of AI and blockchain. Security is crucial as AI and blockchain often handle sensitive data. Technology scalability is important for accommodating the growth and changes within intelligent networks. The study finds that technology scalability is a key factor in future innovation, as it enables systems to handle increasing data volumes without significant performance degradation. The study uses SmartPLS analysis to evaluate the reliability and validity of the research model. The results indicate that all constructs demonstrate high levels of reliability and convergent validity, with the Technology Scalability construct showing the most significant influence. The findings suggest that Security has a strong and statistically significant relationship with both Integration Challenges and Technology Scalability, which in turn affect Future Innovation. The study emphasizes the need for further research to explore the dynamics of convergence between AI and blockchain and its implications for future innovation.This research explores the convergence of smart networks, artificial intelligence (AI), and blockchain technology as a foundation for future innovation. The rapid development of information and communication technology has driven increasing integration between AI and blockchain in infrastructure networks. The study uses a comprehensive literature review and in-depth analysis of the latest trends in this technology. It examines issues such as interoperability, security, and privacy challenges in integrating AI and blockchain. The results show that this convergence has the potential to improve efficiency, transparency, and security in various applications, including supply chain management and financial services. However, challenges such as scalability and regulation must be addressed to realize the full potential of this convergence. The study concludes that the integration of AI and blockchain expands the scope of technological innovation by leveraging the strengths of each, but more efforts are needed to address further issues for widespread and sustainable implementation. The research also highlights the importance of security and technology scalability in the convergence of AI and blockchain. Security is crucial as AI and blockchain often handle sensitive data. Technology scalability is important for accommodating the growth and changes within intelligent networks. The study finds that technology scalability is a key factor in future innovation, as it enables systems to handle increasing data volumes without significant performance degradation. The study uses SmartPLS analysis to evaluate the reliability and validity of the research model. The results indicate that all constructs demonstrate high levels of reliability and convergent validity, with the Technology Scalability construct showing the most significant influence. The findings suggest that Security has a strong and statistically significant relationship with both Integration Challenges and Technology Scalability, which in turn affect Future Innovation. The study emphasizes the need for further research to explore the dynamics of convergence between AI and blockchain and its implications for future innovation.