Generative Artificial Intelligence (GenAI) has had a tremendous impact on game production and promises lasting transformations. In the last five years since GenAI's inception, several studies, typically via qualitative methods, have explored its impact on game production from different settings and demographic angles. However, these studies often contextualise and consolidate their findings weakly with related work, and a big picture view is still missing. Here, we aim to provide such a view of GenAI's impact on game production in the form of a qualitative research synthesis via meta-ethnography. We followed PRISMA-S to systematically search the relevant literature from 2020-2025, including major HCI and games research databases. We then synthesised the 10 eligible studies, conducting reciprocal translation and line-of-argument synthesis guided by eMERGe, informed by CASP quality appraisal. We identified nine overarching themes, provide recommendations, and contextualise our insights in wider game production trends.
Ternar et al. (2025) studied this question.