I was at a chamber of commerce breakfast a few weeks ago when a woman next to me asked what I did. I told him I worked at Forsyth Tech. He nodded, then turned to the man on his other side and said, “You should check out their HVAC system for your son.” He had never been a student. Her child had never registered. Somewhere along the way, he had heard enough about us to make a recommendation to a stranger for coffee.
No paid campaign generated that 30 seconds. And with AI reshaping how students research centers, those 30 seconds are becoming more valuable.
Most of the discussion of AI in marketing centers on what AI can do: Copy drafts quickly. Press to search for quality answers. Summarize program pages, estimate financial aid, route prospective students to institutions that match their criteria. Those skills are real and already career-changing. The organizational restructuring question I wrote about earlier this year had the following effect.
What AI can’t do is hard to talk about, because it’s a part of the marketing strategy that many agencies have been underinvesting in for years.
AI can shortlist your school for a student, but it won’t make the people in his life confirm that you belong.
Validation Remains Algorithm Free
If Chrome’s Claude or ChatGPT Search returns a limited list of programs to the prospective student, the comparison operation takes place in seconds. The work of faith takes place in kitchens and restrooms and parking lots where important decisions are made.
An AI agent can do much of the work that once belonged to admissions counselors and program advisors, but it cannot do the work of the trust networks that a student relies on to ensure an institution’s choice. That work has always been part of how decisions are made. As AI takes comparison to the standard, trust-network validation becomes a deciding factor.
Branding Work That Builds Trust Looks Different
If trust networks are so important, shouldn’t institutions spend more money on brand campaigns they run regularly? The idea speaks for itself: Pour more budget into awareness, build awareness (maybe your institution comes to mind when someone is faced with a decision about school), watch the dominoes fall.
Mental availability is more important than ever. But the mindset that makes a stranger click on an ad isn’t the same mindset that makes your co-worker say your name in the living room.
The product work that feeds trust networks looks different than the product work that most teams prepare. Many teams prepare click-through rates, cost-per-lead and attribution models that link ad spend to apps. The trust network does not show there. A billboard on the highway that puts your name over the head of a case manager on his Monday morning commute creates a psychological presence within the community whose validation is actually important.
Local funding does the same. So is community radio, the logo on a high school football jersey, the booth at the county fair, the name on the back of a community 5K T-shirt. What loses value in this change is the work of the product designed to convert strangers who have not yet looked: A programmed display that chases the click of an agent will not provide it. A smart tag line stands alone with no community behind it. The beauty of Instagram is designed to distract someone who never planned to engage. That work relies on strangers passively scrolling through and being coaxed into action, a behavior that erodes as agents take on the task of searching.
This work includes. The local fundraising team rarely gets credit for the registrations that resulted from the conversation that started there. The conversion ceremony takes place in someone else’s kitchen weeks or months later, after the original conversation has been forgotten. But the institutions whose names sit comfortably in the trust networks of their service area are those whose AI recommendations come when the reader will seek confirmation.
The Equality Layer Most Leaders Create Names
The institutions most exposed to this change are those that offer students with a small margin of error: community colleges, HBCUs, regional community, national colleges. Brand name flags have a loyal currency that has been built up over generations, embedded in the cultural memory of their regions, their alumni networks, and hometown newspapers. When a prospective student’s cousin talks about the importance of state, he conjures up a century of football games, giant stickers and graduating relatives. When he talks about community college, someone must have put that word in their head on purpose, on purpose, recently. Institutions that serve students who can’t do repeat work often don’t have that inherited confidence. They build in real time.
The competition for trust capital has not been a level playing field. The institutions whose students rely more on confirmation from people they know are the same institutions whose budgets are very small and whose relations with the public are always doing paid work that you cannot afford. Those institutions cannot survive on a slow pivot. They have to do social recognition work and structured data work at the same time, with fewer resources than schools with productive cushioned students.
The discussion of AI in advanced marketing has treated this as a technical problem, but it is actually a social capital problem, with technology accelerating results.
What This Means for Work
The question to stay with this week is whether the people you will trust with your students have heard enough about your institution to confirm what the AI is ultimately telling them.
That job is more difficult than running a paid campaign. It needs earned media that finds its way into the same refrigerators and common living rooms where real decisions happen, student stories that stay in the memory, helpful partner relationships and staff boards. It needs to come from the breakfast room where the woman next to you might recommend your HVAC system to a stranger over coffee.
That woman did not recommend us because of the ad. He recommended us because someone he trusted had said something about us that stuck. That’s the job AI can do for your marketing strategy. And it is the most likely task to determine who is registered.
