In response to the recent surge in interest surrounding commercial text-toimage generation platforms, this study conducted by researchers from the University of Rostock, Germany, focuses on the examination of 58 million queries sourced from the Midjourney platform. The research aims to elucidate the implications and applications of AI art tools in the realm of architecture. Through a meticulous analysis employing various statistical and natural language processing (NLP) techniques, the study systematically investigates how users interact with the platform, shedding light on their collaborative processes and creative endeavors. Additionally, the research provides qualitative insights into the outcomes of the generated images, evaluating their relevance and applicability within architectural contexts. Despite acknowledging the prevailing limitations inherent in current image generation models, the study underscores the widespread adoption of these platforms within architectural practices. Furthermore, the findings suggest that while these tools offer promising avenues for architectural ideation, collage creation, and variant exploration, there exist substantial opportunities for their integration into future architectural workflows, potentially reshaping the landscape of architectural design and visualization.