The wireless communications sector is experiencing rapid development with the emergence of fifth-generation (5G) technologies and preparations for sixth-generation (6G) networks. As the number of devices connected to networks continues to grow and the applications that rely on them become increasingly diverse, traditional approaches to network management are becoming less capable of meeting emerging demands. This has led to the growing importance of artificial intelligence specialized in wireless communications as one of the key modern trends in telecommunications engineering. This approach relies on artificial intelligence (AI) and machine learning techniques to analyze network data and make decisions that contribute to improving network performance. For example, intelligent systems can predict network congestion, allocate resources more efficiently, improve signal quality, and select the most appropriate frequencies and communication channels according to changing network conditions. One of the important applications of AI in wireless communications is improving network management. Artificial intelligence can continuously monitor network performance, detect problems or changes in data traffic, and assist in taking appropriate actions more quickly than traditional methods. AI can also be used to improve communication quality by analyzing signal characteristics, noise, and interference among users. This can help enhance connectivity and reduce error rates. These applications are becoming increasingly important with the development of 6G networks, which are expected to rely more heavily on automation and artificial intelligence. Another emerging trend is the development of what are known as Wireless Foundation Models. These models are designed to address the specific characteristics of wireless communication data and challenges, rather than relying solely on general-purpose AI models. In the future, such models could contribute to the development of networks that are more capable of learning and adapting to various changes in the wireless environment. The role of artificial intelligence is not limited to improving network performance. It also extends to areas such as the Internet of Things (IoT), vehicle-to-vehicle communications, smart cities, industrial communications, and satellite communications. AI is expected to become an essential component of the operational infrastructure of future communication networks. At the same time, several challenges still require further research, including data protection and privacy, network security, the need for high computing capabilities, and ensuring the reliability and trustworthiness of decisions made by artificial intelligence systems.