This panel brings together five librarians from four academic libraries to discuss the theoretical and practical dimensions of generative AI's role in librarianship and instruction. The initial presenter will consider what may be lost in the transformative experience of the traditional research process if abandoned due to increasingly sophisticated AI tools. This panelist will also offer a library perspective on the looming AI digital divide and what it means for incoming students from school systems that have restricted generative AI or lack resources for premium tools. Next, the second panelist will consider faculty attitudes toward integrating generative AI into library instruction, shedding light on collaborative efforts between librarians and instructional faculty. Then the third panelist will spotlight the diverse applications of generative AI in the research process for students while also highlighting potential pitfalls. From there, the fourth panelist will present a current research project that uses generative AI for data analysis and to help accelerate library services that support the dissemination of faculty research over CUNY (City University of New York) Academic Works. Finally, the last panelist will give a brief overview of the various generative AI-based software tools that faculty are using to assist with their research, from automagical literature reviews to bots that let you "chat" with a document.