This episode examines why low-code everyday AI is the smarter, more sustainable choice for higher education—and why the old “build-it” mentality no longer works. IT organizations are under pressure to adopt everyday AI, but custom-built solutions are expensive, insecure, and impossible to maintain at scale. We break down the real costs of DIY AI, the security risks of homegrown models, and why higher ed IT has already moved away from custom development in other areas. Tune in to explore a practical everyday AI adoption strategy that balances innovation, cost containment, and long-term viability.
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.