How Colleges Are Using AI to Read Your Child’s Application – and What It Means for Essays in 2027
By Rona Aydin
How Are Colleges Actually Using AI to Read Applications?
The admissions process at selective schools has traditionally worked like this: every application gets read by at least one human reader who scores it on a rubric, then competitive applications go to committee for a final decision. At schools receiving 40,000 to 70,000 applications, this means hundreds of readers spending 8 to 15 minutes per application over several months.
AI is changing that workflow. Schools are now using algorithmic tools at two stages. First, AI triages the incoming pool – identifying applications that clearly fall below academic thresholds so human readers can focus their time on competitive candidates. Second, and more consequentially, some schools are using AI to pre-score essays on rubric criteria before a human reads them. The Daily Tar Heel reported in 2024 that UNC Chapel Hill had been using AI to score application essays since at least 2020. Admissions professionals believe similar tools are in use at other large public universities and increasingly at private institutions, though most have not publicly confirmed it.
What Does AI Look for When It Scores an Essay?
AI essay-scoring models are trained on rubrics that typically evaluate four dimensions: structural coherence (does the essay have a clear thesis, logical progression, and satisfying conclusion), specificity of detail (does the writer use concrete, sensory language rather than abstract generalizations), sophistication of language (vocabulary range, sentence variety, rhetorical control), and alignment with the prompt (does the essay actually answer what was asked). These are the same criteria human readers use – but AI applies them more consistently and with less tolerance for structural weakness.
What AI cannot evaluate well is the quality that makes the best essays memorable: genuine emotional resonance. The essay about working the night shift at a gas station to pay for a sibling’s medication, told with unflinching honesty and specific sensory detail, will score well on AI rubrics AND move a human reader. The essay that ticks every structural box but feels manufactured will pass the AI screen but fail to inspire the human advocate your child needs in committee.
How Good Are Schools at Detecting AI-Written Essays?
Better than most families realize, and improving every cycle. Schools use a combination of commercial detection tools (GPTZero, Turnitin’s AI detection, Originality.ai) and trained human readers who have developed pattern recognition for AI-generated prose. AI-written essays share telltale characteristics: uniform paragraph lengths, predictable transitional phrases, an absence of genuine sensory detail, and a distinctive flatness of voice – technically competent but emotionally vacant.
| Signal | AI-Written Essay | Authentic Student Essay |
|---|---|---|
| Paragraph length | Uniform (4-5 sentences each) | Variable (2-8 sentences) |
| Transitions | Formulaic (“Moreover,” “Furthermore”) | Organic or absent |
| Detail | Generic (“a life-changing experience”) | Specific (“the 3 AM bus to Newark”) |
| Voice | Polished, impersonal | Idiosyncratic, uneven |
| Risk-taking | None (plays it safe) | Vulnerable, sometimes messy |
Source: patterns identified by NACAC admissions professional surveys and AI detection research, 2024-2025.
The most dangerous misconception is that a student can use AI to write a draft and then “personalize” it enough to avoid detection. The underlying architecture of AI prose – its rhythm, its predictability, its absence of genuine surprise – persists even after extensive editing. For more on what is and is not acceptable AI use in essays, see our guide to AI and college essays.
What Does This Mean for How Your Child Should Write Their Essays?
The strategic implication is that your child’s essay needs to satisfy two audiences simultaneously: an AI pre-screen that rewards structure, specificity, and coherence, and a human reader who is looking for authenticity, emotional resonance, and a genuine reason to advocate for the applicant in committee. These goals are not in conflict – the best essays have always done both. But the margin for structural sloppiness has decreased because a disorganized essay may now be scored down by AI before a human reader ever sees its emotional power.
For sophomores and juniors, the preparation starts now. Students who write regularly – journals, blog posts, letters, creative work – develop the authentic voice that is both the best defense against AI detection and the most compelling quality in an application essay. Students who only start writing when the Common App opens in August of senior year are at a significant disadvantage. For essay prompt strategy, see our Common App essay guide.
How Will AI in Admissions Evolve Over the Next Two Cycles?
Three trends are accelerating. First, more schools will adopt AI-assisted reading as application volumes continue to grow and admissions office budgets remain flat. Second, AI detection tools will improve, making it increasingly risky for students to use AI in any part of their written application. Third, and most importantly for strategy, admissions offices will likely begin using AI to cross-reference application components – checking whether a student’s essay voice matches their writing in short-answer responses, supplemental essays, and potentially even the interview. Consistency of voice across the entire application will matter more than ever.
For families with sophomores, this means the Class of 2028 and 2029 will face more sophisticated AI screening than any previous cohort. Starting essay development, voice-building, and structural writing practice now is not premature – it is strategic. The families who invest in developing their child’s authentic writing voice during sophomore and junior year produce stronger applications than those who try to manufacture an essay voice in three weeks during the summer before senior year.
Final Thoughts
AI is not replacing the admissions process – it is reshaping it. The schools your child is targeting are already using AI tools to read, score, and evaluate applications, and the sophistication of these tools is increasing every year. The families who understand how AI-assisted reading works gain an edge: they know that essays must be structurally sound enough to pass an algorithmic screen AND emotionally authentic enough to move a human reader. That combination has always been the hallmark of a great application essay, but the stakes for getting it right have never been higher.
At Oriel Admissions, our team of former admissions officers from Harvard, Princeton, and Columbia understands exactly how AI is being integrated into the reading process at top schools. Schedule a consultation to discuss how your child can develop the writing voice and essay strategy that performs in the new AI-augmented admissions landscape.
Frequently Asked Questions
Yes. UNC Chapel Hill confirmed in January 2025 that it has been using AI to score application essays since at least 2020. Multiple other schools are believed to use AI-assisted tools to triage applications, flag inconsistencies, and pre-score essays on rubric criteria like structure, tone, and specificity before a human reader evaluates them. The practice is more widespread than schools publicly acknowledge.
Yes, with increasing accuracy. Schools use both commercial AI detection tools (like GPTZero and Turnitin) and internal pattern recognition. AI-generated essays tend to share characteristics: even paragraph lengths, predictable transitions, absence of genuine sensory detail, and a distinctive lack of the idiosyncratic voice that characterizes authentic student writing. An essay flagged as AI-generated is almost certainly rejected.
Using AI for brainstorming and outlining is generally acceptable – most admissions offices distinguish between using AI as a thinking tool and using it as a writing tool. The line is whether the final language, structure, and voice are authentically your child’s. If you removed the AI brainstorming step and replaced it with a conversation with a parent or counselor, and the essay would look the same, you are on safe ground. If the AI shaped the actual prose, you have crossed the line.
AI scoring rewards the same qualities human readers value – but it is less forgiving of structural weakness. AI rubrics typically evaluate clarity of thesis, specificity of detail, coherence of narrative arc, and sophistication of language. What AI cannot evaluate well is emotional resonance, cultural nuance, and the kind of surprising honesty that makes a human reader root for an applicant. The best strategy is to write for the human reader and ensure the structural elements satisfy the AI pre-screen.
Not at selective schools in the near term. AI is being used to augment human reading, not replace it. At schools receiving 50,000+ applications, AI helps triage the pool so human readers can focus their time on competitive applicants rather than spending 8 minutes on an application that is clearly below threshold. The final admit/deny decision at top schools still involves multiple human readers and committee review.
Only if the school’s application explicitly asks. Some schools now include questions about AI use in their applications. If asked, be honest – but the answer should be limited to legitimate uses like grammar checking or brainstorming, not content generation. If the school does not ask, there is no obligation to disclose use of standard tools like spell-check or Grammarly, which have always used algorithmic assistance.
This is a legitimate concern. AI scoring models trained on successful past essays may penalize unconventional structure, experimental prose, or culturally specific language patterns. Students with genuinely distinctive voices should ensure their essays also meet basic structural expectations (clear thesis, narrative arc, specific detail) so they pass the AI pre-screen before reaching a human reader who can appreciate the creativity.
Three things. First, develop an authentic writing voice by writing regularly – journal entries, blog posts, letters. AI cannot replicate a genuine voice, and the students who have one are at an enormous advantage. Second, learn to write with structural discipline – clear thesis, specific evidence, coherent arc. This satisfies both AI and human readers. Third, never rely on AI to write application content. The risk of detection is increasing every cycle, and the penalty is application death.
