A systems perspective on international student risk and institutional alignment
Career outcomes have become the #1 reason international students choose a university.
At the same time, AI is rapidly improving how students access information—resume feedback, interview prep, job search strategies.
So institutions are responding the way they often do:
by adding more.
More tools.
More programs.
More initiatives.
But that’s not where the real gap is.
Last week, I had the opportunity to return to University at Albany—a campus that always feels like coming back to family.
The visit was focused on leading the second iCEP Star workshop, where we explored a shift from coordination to alignment across student support.
It also happened to be the same week that Dr. Claire Brady joined as a keynote speaker for the SAE Plus Network, where she spoke about leading AI adoption with intention—grounding decisions in institutional mission, values, and long-term impact.
That framing stayed with me.
Because it raises a more practical question:
What does “intentional” actually look like in day-to-day student support?
Here’s what I’m seeing in practice:
AI is raising the bar on the human side.
As students gain faster access to information, they expect clearer, more consistent guidance from the institution.
And that’s where things start to break.
In response to pressure around career outcomes and AI, institutions are:
- launching new programs
- adding workshops
- layering initiatives
But from a student’s perspective:
The issue isn’t access. It’s inconsistency.
Students are navigating:
- career services
- international student services
- faculty guidance
- student affairs programming
Each offering valuable support—
but not always aligned.
I saw this firsthand during the iCEP Star workshop.
When advisors across roles compared how they guide international students, the variation wasn’t in intent—it was in timing, emphasis, and interpretation.
The result: very different student experiences depending on who they speak to.
And in time-sensitive moments—like post-graduation job search windows—that inconsistency becomes a risk.
If we take the idea of intentional AI adoption seriously—as outlined in AI with Intention—then the implication is this:
The goal isn’t to add more support.
It’s to align the support that already exists.
Not just collaboration.
Not just communication.
But shared interpretation across offices of:
- timelines
- risks
- priorities
- what students should do, and when
So that no matter who a student talks to, they receive a consistent, actionable direction.
AI will continue to expand what’s possible.
But it will also expose where institutions are misaligned.
Because when information becomes instant,
inconsistency becomes obvious.
The institutions that lead in this next phase won’t be the ones adopting the most AI tools.
They’ll be the ones aligning their people around a shared, clear, and timely student experience.
The institutions that lead in this next phase won’t be the ones adopting the most AI tools. They’ll be the ones aligning their people around a shared, clear, and timely student experience.
Author
Kwan Segal is the Founder of ICAway and creator of iCEP: Cross-Cultural Advisor Academy, a system-level training model that helps institutions strengthen cross-campus alignment to improve international student success and career outcomes.
Recommended citation for institutional use
Segal, K. (2026). AI adoption isn’t the problem. Misalignment is: Aligning cross-campus support for student success in the age of AI. ICAway. https://www.ICAway.com/iCEP
