Core Insights - The use of AI in college admissions has become a reality, with Virginia Tech utilizing AI to review student applications, saving 8,000 hours of manual labor and allowing for earlier admission decisions by one month [1][13]. Group 1: AI in Admissions - AI selection processes are increasingly penetrating various sectors, including higher education, which was previously thought to be immune to such technologies [4]. - Virginia Tech received over 57,000 applications for the 2025 fall semester, significantly exceeding their initial plan to admit approximately 7,085 new students [8]. - The admissions process involves reviewing over 200,000 essays, with each essay typically evaluated by two human reviewers, leading to a substantial workload [9][10]. Group 2: Efficiency vs. Fairness - The "AI + human collaboration" model has emerged, where each applicant's essay is scored by both AI and a human, with a third reviewer involved if there are discrepancies [13]. - Despite the efficiency gains, concerns about fairness have been raised, particularly regarding the potential biases in AI models trained on historical data, which may favor certain backgrounds or writing styles [15]. - The reliance on AI could undermine the diversity and uniqueness that universities strive to promote, as applicants may tailor their submissions to align with AI preferences [15][17]. Group 3: Implications for Students - Students may increasingly turn to AI for assistance in crafting their application materials, raising ethical questions about originality and authenticity [19]. - Some institutions, like Brown University, have implemented restrictions on AI usage, allowing only for grammar and spelling checks, but the potential for "AI vs. AI" scenarios in admissions is evident [19].