In this episode, we explore what it really takes to build an AI-infused university, going beyond buzzwords to the infrastructure, people, and processes that make it possible. Drawing on a three-tiered approach to research computing, from powerful desktop workstations to flexible cloud resources to the central high-performance computing cluster, we discuss how universities can balance investments for maximum impact. We look at why embedding faculty leadership into these decisions is critical, and how aligning compute, expertise, and workflow can turn AI ambitions into real research breakthroughs.
About the podcast
Technology is reshaping higher education, leadership, and the economy—but the biggest challenges aren’t just technical, they’re cultural and structural. Created by Timothy Chester, this podcast explores the real impact of AI, automation, and digital transformation on universities, work, and society. With a sociologist’s lens and decades in higher ed IT leadership, he cuts through the hype to uncover what truly matters.
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