Artificial intelligence plays an increasingly important role in the development of smart networks, including communication networks, smart grids, and digital infrastructure systems. Smart networks depend on real-time data analysis and automated decision-making, where machine learning algorithms provide strong capabilities in load prediction, fault detection, and resource optimization. In modern telecom networks such as 5G and emerging 6G systems, AI is used to manage and route traffic efficiently, reducing latency and improving overall performance. AI also enhances network monitoring by detecting abnormal patterns that may indicate cyberattacks or technical failures, thereby increasing reliability and security. In smart energy networks, AI supports demand forecasting and dynamic power distribution, helping reduce waste and operational costs. Furthermore, intelligent control systems allow networks to adapt automatically to changing conditions and usage patterns. With the rapid growth of the Internet of Things, the need for self-managing networks continues to rise, and AI provides the adaptive intelligence required to operate these complex environments effectively.