  As the Metaverse continues to grow, the need for efficient communication and
intelligent content generation becomes increasingly important. Semantic
communication focuses on conveying meaning and understanding from user inputs,
while AI-Generated Content utilizes artificial intelligence to create digital
content and experiences. Integrated Semantic Communication and AI-Generated
Content (ISGC) has attracted a lot of attentions recently, which transfers
semantic information from user inputs, generates digital content, and renders
graphics for Metaverse. In this paper, we introduce a unified framework that
captures ISGC two primary benefits, including integration gain for optimized
resource allocation and coordination gain for goal-oriented high-quality
content generation to improve immersion from both communication and content
perspectives. We also classify existing ISGC solutions, analyze the major
components of ISGC, and present several use cases. We then construct a case
study based on the diffusion model to identify an optimal resource allocation
strategy for performing semantic extraction, content generation, and graphic
rendering in the Metaverse. Finally, we discuss several open research issues,
encouraging further exploring the potential of ISGC and its related
applications in the Metaverse.
