Many Universities Reduce Supplemental Application Essays Due to AI-Generated Content Not Reflecting Genuine Thought
Reports from The New York Times and others indicate that several universities are reducing or eliminating supplemental application essays due to concerns that AI-generated application materials no longer accurately reflect students' thinking and writing abilities.
Institutions such as Tulane University, the University of Georgia, and Washington University in St. Louis have reduced or removed related requirements. Admissions officials point out that generative AI can quickly produce fluent essays, diminishing the distinctiveness and diagnostic value of supplemental essays; it also reduces application pressure and increases application volume. Some schools retain specific essays for certain colleges or programs, but the overall trend is to simplify writing requirements.
Market mechanisms are driving adjustments in college admissions evaluation methods. Simplifying the application process may increase application volume and selectivity, benefiting applicants who wish to reduce their writing burden, while putting pressure on traditional admissions models that rely on in-depth essay evaluations. The proliferation of AI is forcing a shift towards evaluating grades, activities, and interviews—signals that are harder to generate instantly.
Source: Public Information
ABAB AI Insight
Supplemental essays were originally used to assess students' personality, fit, and writing ability, but AI tools have rapidly devalued the signal of "originality." Universities opting to reduce rather than strengthen assessments reflect the reality of unreliable testing tools and high reading costs. Simplifying requirements may enhance application convenience but could also weaken the differentiation of soft skills.
From a capital perspective, educational technology and AI writing tools indirectly alter admissions thresholds, with universities adjusting processes to cope with signal distortion. This is similar to adjustments made in standardized testing reforms regarding "loophole" aspects. Currently, after AI has permeated application materials, admissions evaluations are recalibrating.
This parallels other selection systems that have simplified evaluation processes due to technological changes.
Essentially, this is a case of technological substitution. The mechanism is that when generative tools can simulate high-quality writing at low cost, the evaluation metrics relying on that output become ineffective, forcing institutions to turn to signals that are harder to replicate instantly or to directly lower their weight.
ABAB News · Cognitive Law
- Once AI can produce decent essays, essays are no longer a reliable signal.
- Simplifying writing requirements in admissions is often a pragmatic response to testing failures.
- What is truly difficult to generate will be the core basis for future evaluations.