Universities are starting to use AI for admissions—could the whole process be changing?

We used to hear about AI screening resumes and running interviews. Now it’s moving into an even more sensitive area: university admissions.

Several U.S. universities have started experimenting with AI-assisted review, and one of the most talked-about cases involves Virginia Tech using AI to help evaluate application materials. The university said the process saved around 8,000 hours of human labor, and could allow decisions to be released about a month earlier than usual.

The pressure behind this shift is easy to understand. As more schools moved to test-optional policies for SAT/ACT, application volumes surged. Virginia Tech’s 2025 fall cycle, for example, reportedly targeted roughly 7,085 seats but received over 57,000 applications—many of which included multiple short essays. That quickly turns into hundreds of thousands of pieces of writing to read and score.

So a “human + AI” workflow emerged: each essay receives a score from both an admissions reader and an AI system, and disagreements trigger additional review. For admissions offices, it’s a massive efficiency boost.

But efficiency raises uncomfortable questions: Is it fair? Can a machine recognize potential?

Two concerns stand out:

1. Bias and conformity
   AI is trained on historical data. If past “successful applicants” share certain backgrounds or writing styles, the system may treat those patterns as a hidden template. Over time, applicants who don’t match the template could be filtered out early—undermining diversity.
2. AI reviewing AI
   Students increasingly use AI to polish or draft essays. If admissions AI rewards certain patterns, applicants may optimize their writing for the algorithm. That creates a loop where admissions AI evaluates materials that are also AI-generated or heavily AI-shaped.

Some universities try to draw boundaries—allowing AI for spelling/grammar checks but requiring original content. Still, enforcing that line is difficult.

In the end, “AI admissions” isn’t just a productivity upgrade. It forces a bigger debate: how do we redesign the rules to balance speed, transparency, and fairness when AI enters life-defining decisions?