Artificial intelligence (AI) and Machine Learning (ML) will play significant roles in 6G networks and beyond, making them intelligent, self-organising, and cost-effective. Network servers will house AI algorithms just like the application servers. 6G networks will be user-centric, leveraging the Internet of Things (IoT) to transform critical infrastructure into smart infrastructure. This study presents a notable use case of AI and IoT for 6G networks, specifically in coordinating peer-to-peer (P2P) energy trading within virtual microgrids (VMGs) of smart grids. The study deploys IoT
technologies at the network edge to connect and collect energy trading data from P2P energy prosumers. The model also includes AI agents configured within the mobile edge computing (MEC) servers at the next-generation Node-B (gNB) of the 6G radio access network to adjust the cell size of VMGs, thereby enabling the discovery of more P2P energy prosumers. Results show that deploying AI agents in the 6G networks can minimise the operational expenditure (OPEX) of network operators and energy trading costs for consumers, while maximising the utility of energy prosumers.