The world is witnessing rapid development in information and communication technology, and artificial intelligence (AI) has become one of the fundamental technologies contributing to the development of modern communication systems and improving their efficiency. The continuous increase in the number of users and the volume of exchanged data has created a need for faster, more reliable, and more secure communication networks. Consequently, the use of artificial intelligence technologies has become essential to keeping pace with advanced technological requirements. Artificial intelligence is defined as a set of technologies that enable computer systems to analyze data, learn from it, predict outcomes, and make decisions. In the telecommunications sector, AI is used to improve network performance and intelligently manage network resources by analyzing data traffic, identifying usage patterns, and predicting congestion. This helps allocate resources efficiently, reduce response times, and improve the quality of services provided to users. Artificial intelligence plays an important role in the development of fifth-generation (5G) networks, which provide high data transmission speeds and advanced capabilities for communication between devices. It helps optimize frequency allocation, manage transmission stations, and allocate resources according to users’ needs. AI is also a significant area of research related to sixth-generation (6G) networks, which are expected to rely more heavily on intelligent networks and systems capable of self-adaptation and continuous performance improvement. One of the important applications of artificial intelligence is predictive maintenance. Intelligent systems can analyze data collected from equipment and telecommunications stations to detect indicators of potential failures before they occur. This contributes to reducing service interruptions, lowering maintenance costs, and increasing network reliability. Furthermore, AI helps enhance cybersecurity by monitoring data traffic, detecting abnormal activities, and identifying certain cyberattacks, thereby supporting information protection and reducing security risks. Artificial intelligence also contributes to improving energy efficiency by analyzing network usage patterns and managing resources according to actual demand. It can also be employed in Internet of Things (IoT) applications, smart cities, and industrial systems, where it helps process data, improve communication between devices, and support informed decision-making. Despite these benefits, the use of artificial intelligence in communication systems faces several challenges, including high development and operational costs, the need for accurate data and specialized human expertise, as well as privacy and security risks and the difficulty of interpreting some automated decisions. Therefore, the successful implementation of these technologies requires advanced infrastructure, the development of workforce skills, and the adoption of appropriate standards to protect data and ensure system reliability. In the future, reliance on artificial intelligence is expected to increase in the development of more autonomous, flexible, and efficient communication networks, alongside the growing adoption of edge computing, machine learning, and automated network management. In conclusion, artificial intelligence represents a fundamental element in the development of modern communication systems, owing to its potential to improve performance, enhance security, reduce costs, and increase service quality. Therefore, investing in these technologies and advancing related research will contribute to supporting digital transformation and building an advanced communications infrastructure capable of meeting future needs.