AI is now used to screen thousands of applications with incredible speed, identifying top candidates efficiently.

Algorithms analyze transcripts, test scores, and even essays for key indicators of success.

This technology can help reduce unconscious human bias in the initial stages of the admissions cycle.

However, a major concern is that AI might learn and perpetuate existing biases from past admissions data.

Some universities use AI to identify students who are a good 'fit' for their campus culture and programs.

AI can also predict a student's likelihood of enrolling if accepted, helping to optimize admissions offers.

The use of AI raises critical questions about fairness, accountability, and transparency in the process.

Applicants are left wondering if their life's work was fairly evaluated by a machine.

The future of admissions will likely be a hybrid model, combining AI's efficiency with human judgment.

This story explores how AI is reshaping the gateway to higher education, for better or worse.