Artificial intelligence (AI) has become a common practice in contemporary wireless communication systems to facilitate automated network design and optimisation. The AI methods are deployed in 5G and 6G networks to produce algorithms for resource allocation, MIMO system beamforming, spectrum sharing, and self-optimising networks. These AI systems do not need much human intervention to create new strategies and network behaviours, unlike conventional rule-based methods, and are trained on network data. Although this type of AI-based design is a great method of enhancing network performance, reliability, and energy consumption, it also poses crucial issues of intellectual property rights (IPR). The current IPR systems largely rely on the idea of human inventorship and authorship, which makes it unclear when the wireless network algorithms or configurations are produced as a result of the AI learning process. This paper looks into major IPR concerns of AI-based wireless communication technology, especially the ownership and protection of AI-generated algorithms and network designs. The paper provides basic and constructive examples, illustrating AI-generated beamforming plans, learning-based spectrum sharing protocols, and self-optimising radio access networks, and explains that AI is no longer a support system, but it is an actor in the generation of technical solutions. An analytical comparison of strategies implemented in India, the United States, and the European Union concerning the doctrinal differences is offered to detect the emerging trends in the law and gaps in policies. The paper avers that existing laws on IPR need to be improved to fit human, AI collaborative innovation in the system of wireless communications. It ends with a policy-related recommendation to bring clarity in the law, foster innovation, and get good protection of AI-driven wireless technologies.