This entry explores the application of generative artificial intelligence (GenAI) in developing listening assessments (tests). Creating a listening test is expensive and time-consuming and requires developing and validating numerous components, including listening passages, test items, audio materials, and scoring rubrics. By leveraging GenAI, one can streamline this process significantly. GenAI models, trained on vast language and (transcribed) audio datasets, can produce realistic and diverse listening passages and formulate relevant questions, speech, and videos. This can reduce the time and resources needed to develop listening assessments and also allow for the creation of more personalized and adaptive tests. We argue that through the application of GenAI, the field of language assessment can achieve greater efficiency and inclusivity in evaluating listening skills.