Computational Literary Studies is an area of research which, like its disciplinary context of the Digital Humanities, has a very high affinity with innovation and experimentation and is usually quick to adopt and adapt recent developments in areas of research like Natural Language Processing and Machine Learning. As a consequence, it is a field that is highly dynamic and it is important to monitor not just well-established best practices, tools and requirements (as we have done in previous work within CLS INFRA, notably in Schöch et al. 2023), but also to investigate, discuss and make visible emerging trends in the field which are likely to influence the field, its practices and needs, in the near future. Documenting three such emerging trends has been the objective of this part of our work within CLS INFRA. We have done this in several different ways: Using both the survey article format to provide overviews of current trends, as well as pilot studies as well as short papers providing background, context and explanations for these pilot studies.