The information considered important for the holistic review of residency applications has expanded beyond numerical and discrete data such as grades, test scores, publications, and awards. To conduct such a thorough review requires time and the processing of large amounts of information, which invites the development of new tools to streamline application review. Artificial intelligence (AI) solutions may increase the efficiency of the review process as well as enhance the opportunity to find applicants who may have been overlooked by a traditional review process. These tools also may help applicants find programs that fit their career aspirations, practice interview techniques, and refine their written applications. With the introduction of new technology comes the need to also monitor for potential pitfalls, which will become more critical when adoption begins to accelerate, highlighting the need to both embrace and consistently reassess the use of these innovations in the residency recruitment process.