AI drives more than its fair share of FOMO, especially among team leadership. It’s true across industries, and enrollment management is no exception. The promise of faster, smarter, cheaper is undeniably enticing. And leaders know they don’t know what they don’t know.
What they do know is that they need more efficiency from their team. And they keep hearing promises about new AI integrations that can seamlessly replace many human steps in their processes.
HAPPENING THIS WEEK!
Find us at AIEA in DC. Join our sessions:
- Resilient IEM: A History Lesson for Managing Current Chaos. Ben co-presenting with Dr. David DiMaria, UMBC
- AI: Your Old SEO Approach No Longer Cuts It. Iliana co-presenting with Dr. Balaji Krishnan, University of Memphis
The truth: AI is simply not mature enough to deliver consistently reliable, broad results at scale in enrollment and admissions.
Not yet. Despite what every tech solutions vendor out there is telling you right now. Large-scale implementations are simply not plug-and-play at this point.
We anticipate push back from many who are reading this post. However, you can test this by talking to their recent customers and asking whether they were able to plug and play. The answer will be, “No.” Get the details on that response before you buy.
The reality: For many enrollment teams, AI is more of a distraction than an instant solution. That may change in time; however, for now, it doesn’t pay to be out in front. Better to be a fast follower, in our estimation.
“There’s a big mental disconnect. Campus execs think they want AI, but what they really want is more structured, automated workflows,” says Seth Cargiuolo, adjunct professor at Boston University and Suffolk University and trusted “digital plumber.”
This disconnect often leaves teams who are chomping at the AI bit vulnerable to what’s colloquially known as vibe coding. Not sure what we’re talking about? Read on…

