Generative Artificial Intelligence (GenAI) is a rapidly evolving technology that will transform the telecommunications industry by enhancing the efficiency, personalization, and security of network operations across domains such as Radio Access Networks (RAN), core networks, devices, and network management. This white paper surveys key use cases of GenAI, including RAN optimization, digital twins, network slicing, and AI-enhanced troubleshooting. While GenAI shows great potential, the telecommunications sector lacks focused studies on its specific applications. This white paper addresses these gaps by analyzing real-world use cases and offering recommendations to facilitate the integration of GenAI technologies into telecom networks, aiming to improve operational efficiency and foster future innovations. It provides actionable recommendations that will drive the telecommunications industry forward while complementing the ongoing efforts by Standards Development Organizations (SDOs).