Generative AI models such as ChatGPT have gained widespread popularity for performing a variety of business tasks, demonstrating exemplary capabilities in human-like interactions. However, a central question remains: To what extent can these models be applied to tasks beyond text summarization, editing, and conversational use? In this study, we examine the application of Generative AI models to non-writing tasks, focusing specifically on their role in supporting research and scholarship in the field of information systems. We explore how these models can enhance research methodologies and enable scholars to address questions that were previously difficult to tackle. To investigate this, we analyzed recently published articles in leading information systems journals and assessed how Generative AI models have influenced research methods and contributed to the advancement of the field.