January 2026
Beginner to intermediate
352 pages
8h 35m
English
Content preview from Degrees of Change
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Chapter 11How Can Higher Education Survive Transformative AI?
—SJ Beard, University of Cambridge, and Matthew Connelly, Columbia University
Higher education is facing unprecedented levels of uncertainty about the impacts of AI, yet its mission is to prepare students for the future. The sector must, therefore, resist the temptation to merely react to technological developments and instead work proactively to explore possible futures for transformative AI to ensure students and society are prepared for them. While we cannot hope to predict the future of AI, this chapter aims to stimulate discussions about how to develop strategies for such proactive engagement by reviewing current assessments of transformative AI and its possible impacts, and presenting an abridged set of five scenarios for the sector over the next decade. Our scenarios explore a range of possibilities, characterized by more or less rapid adoption of AI technologies within academia and the level of coordination and reflectiveness in the sector's response. They include futures in which higher education is dominated by slow erosion, uncritical adoption, engaged development, principled resistance, or reflective adaptation in the face of transformative AI. We conclude by offering recommendations based on our research for how higher education can best shape this transformative future, focusing on the need for collaboration, human control, attention to core social missions, clear communication, and ongoing curiosity. ...
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