AI won't win the case for you.
But used right,
it makes you unbeatable.

In our last Practice Case Challenge, we had close to 200 students submit solutions. I reviewed a significant chunk of them. And I noticed a pattern that I want to address head-on, because I think it's doing real harm to students who genuinely want to improve.

A good number of submissions were clearly AI-generated. Not assisted by AI, generated by it. The entire solution, the framing, the strategic pillars, the slide content, some even had that familiar over-structured tone that gives it away instantly. A few submissions had images clearly generated by Midjourney or DALL-E dropped into the deck as charts.

I'm not going to call anyone out. But I do want to be honest about what this approach actually costs you, because I don't think most students who do this fully understand it.

If AI could just win cases,
why would companies run them?

Think about it from the company's side for a moment. Nestlé, Flipkart, Amazon, ITC, these are sophisticated organisations. They spend significant resources designing, running, and judging these competitions every year. They bring senior leaders into evaluation panels. They review hundreds of submissions.

If winning required nothing more than a well-crafted ChatGPT prompt, the outcome would be random, whoever got the best prompt would win. There would be no signal for the company about who to actually hire. The competition would become useless, and companies would quietly stop running them.

They don't. They keep running them, investing more in them, using them as a genuine talent pipeline. Because what these competitions are testing, at their core, is something AI cannot generate for you: your judgment, your ability to synthesise context you've genuinely understood, your capacity to defend a position under real pressure, and the business intuition that only comes from actually engaging with a problem.

AI generated content is also increasingly easy to detect. Judges who review hundreds of submissions develop a sharp instinct for it. The generic framing, the perfectly balanced three-pillar structure with equal word counts, the absence of any company-specific nuance, it reads differently from a solution where a human has genuinely wrestled with the problem. And when a judge who suspects AI-assistance asks a probing question in the Q&A? The gap becomes obvious immediately.

AI as a crutch vs.
AI as a force multiplier

Here's the mental model I teach in AceCase Pro. There are two ways to use AI in case competition prep. One makes you weaker over time. The other makes you significantly stronger. The difference isn't about how much you use it, it's about what you're using it for.

The right column is not a shortcut. It still requires you to do the hard thinking first. But it makes that thinking sharper, faster, and better pressure-tested than if you worked alone. That's what a force multiplier does, it amplifies what you bring to the table. It cannot create what isn't there.

Here's what using AI
the right way looks like

Let me get specific. These are the use cases I cover in our dedicated AI for Case Comp session in AceCase Pro, and the prompting logic behind each one. The goal in every case is the same: AI does the legwork, you do the thinking.

Graphics, mockups, and prototypes,
this is where AI belongs

Everything above is about where AI should not replace your thinking. But there's a category where AI is genuinely, unambiguously transformative, and I want to give it full credit, because students who use it well here have a real visual advantage.

Before AI tools existed, creating a compelling marketing campaign visual, a product mockup, or a UI wireframe for a case slide required either Photoshop expertise, a Canva subscription plus significant time, or a designer on your team. Most MBA students have none of those. So decks ended up with placeholder visuals, low-quality stock images, or bare text slides that failed to communicate the actual idea.

That constraint is now gone. Here's where AI-generated visuals are not just acceptable, they're smart:

Human thinking vs. AI assistance,
where each belongs

The table below is the mental model I come back to every time I use AI in case prep work. The left column is yours and yours only. The right column is where AI earns its place.

The students who learn how to use AI
will have a permanent edge

Here's something I genuinely believe: the ability to use AI as a thinking tool, not a thinking replacement, is one of the most important skills you can build in MBA. Not because it helps with case competitions specifically. Because this is exactly how the best professionals at McKinsey, at P&G, at Amazon, at every company you want to work at, are starting to work.

They use AI to move faster on research and synthesis. They use it to pressure-test their thinking before presenting to leadership. They use it to draft and iterate quickly. But the judgment, the strategy, the point of view that holds up when a senior leader pushes back, that's still entirely human. And the people who can do both, who have sharp thinking and know how to amplify it with the right tools, are developing a compounding advantage.

Case competitions are a training ground for this skill too, not just for business problem solving. The student who learns to use AI properly in a 48-hour case challenge is building a muscle they'll use for years. The student who just pastes prompts is building nothing, they're just getting a submission in.

Start with the free challenges.
Go deeper with AceCase Pro.

The Practice Case Challenges in our community are the best place to start applying this. Attempt the next challenge using the AI-as-force-multiplier approach. Form your own recommendation first. Use AI to stress-test it, sharpen the language, and simulate the Q&A. Then submit, and watch how differently you can defend your solution when it's genuinely yours.

Use the tool. Own the thinking.

AI is genuinely powerful. Used right, it can make a prepared student significantly more effective than one who isn't using it at all. But the preparation still has to come first. The frameworks, the business judgment, the point of view, those have to be yours. Because in the room, with a judge asking you why you made a specific recommendation, it's just you. No tool. No prompt. Just your thinking.

Build that. Then use AI to sharpen it. That's the order that wins.