The swift growth of 5G communication networks necessitates creative approaches to improve dependability, effectiveness, and performance. This paper investigates how to enhance 5G network capabilities through the integration of antenna technology based on adaptive artificial intelligence (AI). Complicated and dynamic settings are frequently too difficult for conventional static antenna setups to handle. Adaptive antennas can dynamically modify their characteristics, such as beamforming and power regulation, in real-time to maximize signal quality and coverage by utilizing AI methods, such as machine learning and deep learning. Using both simulations and in-field testing, the study assesses how AI-based adaptive antennas affect important performance measures including spectrum efficiency, latency, bit-error rate and network throughput. The findings show that 5G networks’ capacity and flexibility are greatly increased by AI-based adaptive antenna systems, making them more resistant to changing environmental factors and user density. This technology is expected to play a major role in enabling 5G and beyond network realization.