A ‘how will you contribute’ essay usually does one of two things: describes what you’ve already done, or proposes what you’ll build at the program. Ask whether a generic AI could have produced a list of activities from a basic prompt and quickly searching the MBA program’s website. If you could swap in a different applicant, a different school, and a different set of activities and the paragraph still reads fine, it isn’t selling genuine passion for contributing to the MBA community. Well written and generic aren’t opposites. Both versions can be grammatically clean, name real organizations, and still fail the test, because describing an activity or a plan isn’t the same as stating what it proves, or what it gives the people on the other side of it.
What did the paragraph say before using AI?
These are two real excerpts from Wharton’s contribution essay, from two different applicants making two different versions of the same mistake. Note the real organization names were removed. Wharton’s current version of this prompt reads: “Taking into consideration your background – personal, professional, and/or academic – how do you plan to add meaningful value to the Wharton community?”
Example 1 — past activities, no through-line:
“I’ve lived in a few different places since I left home for college, always looking for ways to plug into each new community. In undergrad, I sought out programs that gave back locally — mentoring at an after-school program for underprivileged kids, then later taking a leadership role in my fraternity’s learning community, where I met regularly with alumni and a faculty advisor to build out new programming. The most rewarding piece was managing a small team of student advisors who mentored first-year students each fall. I wouldn’t have had the same college experience without stepping outside academics like that. Since graduating, I’ve kept looking for ways to build relationships with coworkers outside the office — an office intramural league, a weekend running group.”
Example 2 — a proposed initiative, no stated benefit:
“Currently at a large consulting firm, I chair a peer network for early-career employees, where I lead a team organizing events for our cohort. I recently partnered with a women’s initiative group to provide career-readiness and financial-literacy training in partnership with a nonprofit focused on economic outcomes for survivors of abuse. I’d take advantage of the program’s existing partnership with an education-equity nonprofit that teaches business and finance to underserved high schoolers. I’d like to introduce a mentorship component to the curriculum by creating a channel to match MBA students with participants of the high school program. MBA students can share advice on coursework, their professional insights, and have honest discussions about navigating their industries.”
What does generic AI feedback catch?
I ran both passages through generic AI with no coaching context attached.
On Example 1:
“This reads as a list of activities rather than a story — mentoring, fraternity leadership, sports league are all named but none are shown in a scene, so the reader can’t picture you doing anything. Pick the single most meaningful example (the peer advisor management sounds richest) and go deep: what specific problem did you solve, what tension did you navigate, what did you learn about building community? Right now it feels like a resume in paragraph form rather than a reflection.”
On Example 2:
“The specifics here are good — named partnerships, a clear future initiative — but the passage shifts from what you’ve already done to what you’d do in the program somewhat abruptly, and it’s not clear this is even about the target program’s existing resources versus a hypothetical. Also watch the density of nonprofit and initiative names, it starts to read like a list of affiliations rather than a personal narrative.”
Both catches are real and specific. It correctly flags a list where it sees one, and its instinct to dramatize one example or trim for room are legitimate edits. What it doesn’t know, in either case, is what should fill the space once it’s freed up.
What does generic AI miss on an MBA essay?
My note, after coaching hundreds of admits through this exact essay question:
On Example 1:
“The first line is oddly worded. Commenting on the paragraph as a whole: the examples are good, but how they’re tied together is missing a common thread — a north star, a personal trait being highlighted. You’re recounting activities without a clear angle, and that’s the art of storytelling versus listing activities. Consider: your north star could be that you root yourself in a new place because you want to absorb what a community has to offer and give your own experience back to it — creating a better whole, and that is what you have to contribute to the Wharton community.”
On Example 2:
“How about changing the second part of the line to highlight how this would benefit MBA students? Some ideas: help them give back, stay in tune with what future professionals aspire to, or practice their coaching.”
Two different paragraphs, two different lengths of note, one instruction underneath both. Example 1 needs a stated north star tying the activities together. Example 2 needs a stated benefit to the people the proposed initiative would actually reach.
What does MBA.AI expert feedback say?
MBA.AI exists because I spent two years encoding exactly this judgment into its prompts. MBA.AI catches this on the same two paragraphs.
On Example 1:
- The alumni and faculty advisor meetings read as context for the role rather than evidence of impact. One sentence on what was actually built or changed would make this land harder.
- The line “I wouldn’t have had the same college experience without stepping outside academics” turns inward at the exact moment the reader wants to see outward impact — flip it to show what the students who were mentored got out of it.
- The post-grad examples — the intramural league, the running group — read as a list that stops just before the interesting part. One detail about what it unlocked socially would turn a resume bullet into a story.
- The paragraph reads as “past contributions” but hasn’t yet bridged to what the applicant will actually contribute to Wharton.
On Example 2:
- The closing sentence tells admissions what MBA students can do in general terms. The stronger version states what the applicant specifically brings — drawing from their own navigation of finance, something a high schooler couldn’t easily find elsewhere.
- What’s the benifit to the MBA students? The MBA is an environment where so much is happening, and students will seek to be part of things that challenge them to grow.
- “I’d take advantage of the program’s existing partnership” reads as slightly transactional; “I’d build on” keeps the forward momentum without the same connotation.
- “Creating a channel” is vague — naming the actual mechanism, a structured matching platform, a Slack workspace, a formal pairing program, signals this is a real plan, not an aspiration.
- This section leans on program logistics. The stronger version balances what the applicant will do with why they’re the one to do it.
Generic AI and MBA.AI agree that both paragraphs read as lists. But MBA.AI’s fix in each case isn’t “add more detail” — it’s “bridge to Wharton” for Example 1 and “state what the applicant specifically brings” for Example 2, the same gap my own notes call the missing north star and the missing benefit. Every one of these is pointing at the same hole from a different angle. Activities and plans get described in full. What they’re evidence of never gets said out loud.
Why can’t generic AI catch this on its own?
A generic model can tell you a paragraph reads as a list. It doesn’t know that a contribution essay, whichever version it takes, is read against a specific, unwritten MBA admissions bar — not “what have you done” or “what would you build,” but “what will this program specifically get from you.” That MBA admissions bar isn’t published anywhere a model can retrieve it. It’s pattern-matched from thousands of admits and rejects making the same describe-without-stating mistake in a dozen different disguises.
Before you send your next draft, check whether your contribution paragraph states one idea that ties your activities together, or one clear benefit to the people your proposed initiative would reach. If it just lists the activities or the mechanics and expects the reader to find the point themselves, run it through MBA.AI using the free trial MBA.AI and see whether it catches the gap on its own.
FAQ
Why does my “how will you contribute” essay feel like a list of activities? Because it names what you did instead of stating the through-line connecting all of it — the specific trait or instinct that explains why you keep doing this, and what it means for the program you’re applying to. Without that thread, even real, impressive activities read as a resume in paragraph form.
How do I pitch a new club or initiative in my MBA essay? Name the mechanism specifically, then state what the people you’re proposing to help or work with actually get from it — not just how the initiative would run, but what changes for them because you specifically are the one running it.
What’s the one thing every strong MBA contribution essay states that a weak one doesn’t? What the program specifically gets from you, not just where you’ve shown up before or what you’d build once you’re there. Activities and plans are evidence. The essay still has to state what they’re evidence of.