Artificial Intelligence (AI) powered XR approaches (XR & AI, or Spatial AI) are relevant to the entire spectrum of extended reality, i.e., augmented, mixed and virtual reality (AR, MR, VR) as well as forms of immersive visual analytics (VA). The convergence of spatial computing, immersive interfaces, situated intelligence and generative AI opens up new possibilities for rapidly transforming complex spatial data into multisensory, interactive narratives. In fact, AI-based approaches might replace manual visualization and 3D modeling entirely—or much of such processes—in the near future. As the latest developments in AI change the way we work, in this thematic session we explore the contemporary and future opportunities as well as limitations that (generative) AI brings to XR and VA. Specifically, we examine the evolving collaboration between humans and AI in the context of XR and VA, focusing on how content creation, spatial visualisation, and interaction can benefit from both technological innovation, experience-based and analytical processes, and human-centered design. From a technical standpoint, we are interested how creating realistic XR content such as 3D scenes and objects; interfaces such as avatars, overlays, adaptative menus; and interactions such as speech, gesture, eye tracking which not only enable human-computer interaction but also facilitate technology mediated human-human interaction. We are also keen to include examples of immersive analytics and how this could be supported by current AI approaches. In this context, we invite case studies, applications demonstrating opportunities and bottlenecks with the current technical developments, as well as state of the art and position papers, including those with a critical voice. From a human-centered standpoint, we also consider the effects of XR environments on human experience as with the automated methods 3D content creation is becoming more rapid, consequently setting the anticipation that immersive 3D experiences will become more and more prevalent in the coming decade. We invite contributions that examine the affordances, function, effectiveness of XR systems in experience based vs. analytical tasks, as well as trust, bias, cognitive priors such as assumptions of ‘reality’ as real and virtual becomes hard to tell apart. We are also interested in other social and cultural implications such as social interactions in the so called ‘metaverse’. While we welcome any topic area within the above-mentioned context, given the scope of the ISPRS, a major focus area will be in geospatial studies in our session. In the context of such studies, contextual visualization is often framed as a medium for communication or engagement, however, we also seek to examine its potential as an analytical lens, one that enables spatial reasoning, pattern recognition, and the situated interpretation of complex spatial dynamics. We thus welcome contributions that explore how curated, situated, and immersive visual approaches can help make sense of urban complexity by fostering understanding through engagement, storytelling, and sensory interaction, particularly when augmented by the growing capabilities of the AI ecosystems. Thus we also welcome contributions that investigate how human-AI co-creation can enhance XR-based visualisation and interaction, whether through adaptive interfaces, generative content, or embodied engagement, and how these systems can be deployed in domains such as urban planning, environmental monitoring, education, or cultural heritage. We are particularly interested in approaches that make data not only visible, but also felt, narrated, experienced, and decoded fostering deeper engagement with urban and natural spaces, by leveraging human-AI interaction to support adaptive engagement, and situated intelligence to ensure that interpretation is shaped by spatial, temporal, and contextual awareness.