American colleges and universities have spent more than a decade investing heavily in data infrastructure, yet a growing chorus of technology experts and higher education analysts warn that the industry’s obsession with accumulating information has paradoxically left institutions less equipped to help the students they serve.
The disconnect, experts say, is not a matter of resources or intention, it is structural. And it is playing out against a backdrop of accelerating workforce disruption that is raising the stakes for every student who walks through a campus door.
“AI-driven layoffs should be a wake-up call for higher education,” said Ian Gibson, dean of San Diego State University Global Campus. “The question is no longer whether AI will reshape the workforce. It already is. The real question is whether colleges and universities will move fast enough to prepare students for that reality.”
The warning comes at a critical inflection point for colleges and universities, many of which are racing to deploy artificial intelligence tools in advising, enrollment management, and student success operations. Proponents argue that AI holds the potential to transform how institutions identify and respond to at-risk students. Skeptics counter that without a coherent data foundation beneath those tools, the technology will simply replicate existing blind spots at scale.
Fred Creugers, co-founder of Intellicampus, a higher education technology firm, argues the industry has confused volume with vision.
“Higher education has spent the last decade buying more tools to manage more data and somehow ended up knowing less,” Creugers said. “The problem was never a shortage of data. It was that the data never talked to each other. Students fall through the cracks not because institutions don’t care, but because the systems that are supposed to help them were never designed to work together.”
When advising systems, financial aid platforms, course management tools, and early-alert software operate in silos, no single stakeholder has a complete picture of a student’s trajectory. An advisor may be unaware that a student who missed three classes last week also visited the financial aid office twice and dropped a course the prior semester — information that, taken together, might flag a crisis in the making.
