This research examines the role of generative AI in the creation of metadata within digital libraries, with an emphasis on improving user experience and efficacy. The results suggest that AI considerably enhances resource discoverability and expedites the cataloguing process. Nevertheless, user satisfaction levels are inconsistent, as they are influenced by personalization and accuracy, and there are concerns regarding the contextual relevance and quality of AI-generated metadata in comparison to human-generated entries. The necessity of frameworks that encourage responsible AI usage is underscored by ethical implications, such as accountability, privacy, and bias. Strategies for retraining staff and creating new roles that compliment AI technologies are necessary due to the potential impact on library employment. In summary, generative AI presents significant potential for metadata improvement; however, it is essential to prioritise user satisfaction, ethical considerations, and quality. Libraries can guarantee comprehensive access to information for all users by establishing a digital environment that is more equitable and effective by combining AI with human expertise.