The study looks at how many and which faculty are using artificial intelligence in data management, and how they are using it, currently, and planned for the future.  The study presents unique data sets for use of AI in many specific facets of data management, including, but not limited to data visualization, data cleaning, finding data, data summary, as a plug in with stat programs, hypotheses generation, data analysis, data upload, data tagging or cataloging, data training and other uses.  In addition, survey respondents evaluate their interest in specific generative AI applications, and their level of trust in AI-generated results.   Respondents also rate the usefulness of AI in data management, evaluate their impact on the productivity of their data-driven efforts, and comment on their plans.