Beyond Adoption: How AI Is Changing Learning and Discovery

Colleges and universities have spent years adopting tools and otherwise figuring out how to respond to AI. Now comes the harder—and more exciting—part: Uncovering and shaping how AI is changing the underlying practices of teaching, learning and research. From personalized learning that could fundamentally alter the faculty role to AI-assisted research that could reshape how disciplines generate and validate knowledge, new possibilities are emerging all the time. Featuring data and expert insights, this live webcast discussion will examine what is actually happening at that frontier, and what institutions broadly will need to get there. We’ll explore: Where higher education is moving beyond teaching students to use AI toward developing new forms of disciplinary thinking and learning Whether personalized AI could fundamentally change the faculty role—and what might be gained or lost in moving away from a focus on knowledge transfer How AI is becoming part of the research process itself, from generating hypotheses to analyzing data and identifying new possibilities Why compute, data and connectivity may become critical academic infrastructure—and what that means for institutions of all kinds 📚 Leadership Reports: Download and explore the leadership report, "AI and Research Infrastructure in the U.S.," to get additional context ahead of the webcast. Two more leadership reports will be released this fall, offering further analysis that will inform the webcast discussion: Report 2: Teaching & Learning — Publish Date: Monday, October 19, 2026 Report 3: Connectivity — Publish Date: Monday, November 2, 2026 Can't attend the webcast? You should still register—all registrants will receive a recording of the webcast and a copy of the presentation slides.