Artificial intelligence is no longer just a tool of academic work—it is becoming a collaborator. This chapter examines how AI is reshaping scholarship itself, from writing and research workflows to authorship, accountability, and the very identity of the scholar. Drawing on concrete cases of human–AI co-production, the chapter shows how traditional boundaries between author, assistant, and editor are breaking down. It introduces practical frameworks for distinguishing human contribution from machine support, addressing disclosure, responsibility, and the ethics of hybrid authorship. While AI dramatically increases speed and efficiency, the chapter warns that uncritical reliance risks flattening judgment, originality, and intellectual depth. Looking ahead, this chapter explores how universities and research institutions must adapt as machines begin to simulate entire research teams. The future of scholarship, it argues, will depend not on resisting AI, but on designing clear standards, transparent norms, and institutional roles that preserve human judgment and scientific integrity in an age of machine co-production.