In this episode, we answer an audience member question related to AI in admissions, specifically its use to pull student and parent data in order to forecast an applicant’s likelihood to “yield,” or enroll at a given college.

While AI has given more firepower to the process of tracking demonstrated interest and predicting enrollment, we reveal how colleges have long since been building “yield” models for years—despite many colleges and admissions officers making claims to the contrary.

Ultimately, we delineate between factors that can and cannot be controlled in the admissions data arms race—and highlight the actions students and families can actually take to increase the probability of admissions success.

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“The Game” is hosted by Sam Hassell and brought to you by Great Minds Advising.

Great Minds Advising’s unique, hands-on mentorship program and its deep strategic insight into the application review process have earned the company a nation-leading track record of excellence, with 100% of its students gaining admission to a top-choice school in the 2024–25 application cycle.

Its students have recently gained admission to Stanford, Princeton, Yale, Columbia, Penn, Brown, Dartmouth, Cornell, Duke, Georgetown, Vanderbilt, Johns Hopkins, Rice, Northwestern, UC-Berkeley, and WashU (among many others) and are admitted to the Ivy League at a rate 14x the national average (90% when applying early).

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