AI and the MBA Application: What AdComs Now Expect from Applicants
- Lauren Wong
- Jul 11
- 3 min read
When AI first became widely used in MBA applications, I wrote a piece cautioning applicants about relying on it too heavily for essay writing. At the time, many schools were still reacting quickly—some even introducing early restrictions around AI use.
Two years later, the landscape has evolved significantly.
Current AI Usage Policies and Application Changes
Based on discussions with AdCom during this year’s AIGAC Conference, the current reality is this: schools no longer assume applicants are not using AI. However, they are still very clear that AI should not be part of the evaluation process itself.
Instead of trying to “ban” AI, schools have adapted their application design and review process. This includes:
Reducing essay prompts that are easily AI-generated or templated
Increasing emphasis on components that are harder to replicate with AI (interviews, video responses, live interactions)
Requiring applicants to confirm that submitted work is their own
Despite this, AI use among applicants is still widespread—and AdComs are increasingly sensitive to applications that feel overly polished, generic, or inconsistent across components. Because at its core, the MBA application is not a writing exercise—it’s a consistency check across multiple signals: essays, resume, recommendations, and interview performance.
This is where AI creates a real risk. Overuse can flatten voice, reduce differentiation, and create gaps between written materials and real-time communication. Importantly, AdCom are not evaluating AI usage itself. They are evaluating whether the final application reflects a real, coherent, and credible person they can admit.
So how should applicants actually use AI?
From what I’ve seen and discussed with admissions teams, there are three appropriate use cases:
Brainstorming (the most valuable use case) - Not for writing, but for thinking. AI can help structure reflection, pressure-test your career narrative, and clarify what actually belongs to your story. The real value is not language generation—it’s forcing sharper self-awareness about your own authentic narrative.
Light Research - AI has an incomparable strength in gathering information, so it can be useful as a starting point for understanding schools, industries, or career paths. But AdCom themselves have confirmed with me that it is often incomplete or inaccurate, so it should always be followed by primary research—school websites, events, and conversations with students or alumni.
Light editing and polishing - This is undoubtedly a way that many applicants are already using AI and it is helpful for clarity, grammar, and structure—especially for international applicants. But there is a real risk here: over-polishing can strip away voice and create applications that feel indistinguishable from one another. It's important that the final version still reflects a human voice and judgment.
The Core Shift
AI has not removed difficulty from the MBA application process—it has changed where the difficulty sits. It is no longer about writing speed or access to information.
The bottleneck is now judgment:
What actually belongs in your story
What should be left out
Whether your narrative is coherent across all application components
And whether your “written self” matches your “real-time self” in interviews
This is also why some applications look perfect on paper but fall apart in interviews. The human element is being weighed more heavily than ever.
Final Note
AI can help you produce output. But it cannot be the output itself and it cannot tell you:
what your strongest narrative actually is
what AdCom will see as credible vs generic
or how your profile should be positioned across schools
That’s the part of the process where judgment matters more than generation.
If you want support translating your experience into a clear, coherent MBA application story with strong positioning and human judgment behind it, I offer 30-minute consultation calls to help you build a focused, strategy-driven approach. Click here to schedule a call.
Because the real question isn’t “Can AI help you write your MBA application?”
It’s “How can you best optimize the resources available to you so your application clearly reflects who you are and your fit for the school?”


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