This presentation explores the use of artificial intelligence to improve the speed and accuracy of generating item and answer choice rationales, as well as classifying item content. It outlines the investigation of key hypotheses, the implementation of AI models into the item development workflow, and the results of data-driven analyses. Attendees will gain insights into the effectiveness of AI in supporting item writers, the quality of AI-generated outputs compared to human work, and implications for scaling assessment development.