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Artificial intelligence is transforming academic research at a speed and breadth that few could have predicted even a decade ago. From literature search and synthesis to data analysis, experimental design, manuscript preparation, and peer review, AI tools are changing what researchers can accomplish, how they work, and what skills they need to develop. These changes present both extraordinary opportunities for accelerating the pace of scientific discovery and challenging new questions about the nature of research, the appropriate role of automated systems in knowledge production, and the values and practices that should govern the use of AI in academic contexts.