Artificial intelligence (AI) is no longer a speculative technology in scholarly communications—it is embedded in the daily workflows of researchers, students, and content consumers. There is however an organizational knowledge gap to understand how these tools are used, what issues they address, or how they impact information discovery, reading, synthesis, and decision-making. This one-hour virtual session will examine real-world, practitioner-driven use cases that illustrate AI’s influence on research behaviors and content consumption patterns across disciplines and career stages. Panelists will share concrete examples of AI use in literature review, summarization, data interpretation, workflow acceleration, and content consumption. Links shared during session: https://chiragjaypatel.substack.com/p/augmenting-scholarly-publishing-intelligent-df7?utm_campaign=post-expanded-share&utm_medium=web&triedRedirect=true https://www.bmj.com/content/384/bmj-2023-077192 https://arxiv.org/abs/2307.08974 https://docs.google.com/spreadsheets/d/1MIDMNFnJuKO7EY365UDS98OlRtgRsDJrIhclSZuyyB4/edit?gid=2019240593#gid=2019240593 https://techcommunity.microsoft.com/blog/microsoft365copilotblog/introducing-multi-model-intelligence-in-researcher/4506011