Research methodology serves as the foundation upon which theories are built, tested, and refined, and its importance is receiving increased scholarly attention in international business (IB). At the same time, the widespread diffusion and adoption of artificial intelligence systems have challenged existing research practices, presenting both opportunities and challenges. On the one hand, AI systems can serve as virtual research collaborators that promise to unlock unparalleled efficiency gains as they help streamline our research by automating data analysis, generating insights, and assisting in the write-up of findings. Conversely, these systems can also work against us by diminishing our ability to engage in creative theorising and critical thinking, that may lead to a reliance on algorithmic practices and outputs that reduce the depth and originality of IB scholarship. In this panel, we explore these issues and stimulate debate around efficiency versus originality, methodology integrity and transparency and theory development. In engaging in these themes, we aim to chart a path forward that balances the benefits of AI while safeguarding the integrity and creativity that are the hallmarks of IB scholarship.