Academic institutions are racing to stay relevant in the development of artificial intelligence (AI) and other emerging technologies. Librarians, in particular, are being asked to quickly upskill in order to lead workshops, offer one-shot instruction, or develop an online module.1 Meanwhile, institutions vary widely in their stages of AI adoption, creating uneven expectations and support structures. All of these factors can leave librarians feeling unsure of where to start with AI instruction or their role in AI adoption. This challenge is