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In the age of AI, consulting firms want to know what candidates think about how AI fits into consulting work. If you’re interviewing with top firms or even smaller firms that are looking to implement AI in their day-to-day operations, you might come across this question:
- “How does AI play a role in the consulting line of work and how should we leverage it so it doesn’t negatively impact our role?”
At first glance, this might seem like a straightforward “thought leadership question” where you’d talk about efficiency, productivity, or perhaps something about ethics; however, leaning into that line of thinking won’t get you very far.
Consulting firms aren’t asking this question to see whether you can summarize a Harvard Business Review article. Instead, they’re asking it because AI cuts directly to the heart of consulting’s business model, and because junior consultants will be the first ones expected to work alongside these tools in real client settings.
The bottom line is, this question is less about AI itself, and more about how you think about the future of consulting work.
What Interviewers Are Looking For
Firms are using this question to test four things simultaneously:
Understanding Consulting
Consulting is all about framing ambiguous problems, making tradeoffs, exercising judgment, and persuading clients.
Thinking in “Systems”
Weak answers fixate on AI as a feature (“it makes us faster,” etc.). Strong answers treat AI as part of a workflow that includes humans, incentives, and risk.
Juggling Multiple Ideas at Once
Firms want candidates who can articulate the benefits of using AI without sounding naïve, as well as the risks involved without sounding defensive or fearful.
Demonstrating judgment
The best answers show that you know when AI should be used, when it should be questioned, and when it should be set aside.
What a Weak Answer Looks Like
Most weak answers fall into one of three categories:
- Overly enthusiastic: “AI will automate analysis so consultants can focus on strategy.”
- Overly cautious: “We need to be careful about bias and not rely too much on AI.”
- Overly vague/abstract: “AI is transforming multiple industries, and consultants need to adapt.”
Keep in mind that while these types of answers aren’t necessarily wrong, they’re just shallow and should be avoided. They don’t show that you’ve thought about how AI changes day-to-day consulting work, and they don’t answer the second half of the question—how to leverage AI without undermining the role of the consultant.
What a Standout Answer Actually Does
If we break down what makes a strong answer, we can create four categories:
Precisely Defining AI’s Role
Instead of saying “AI improves efficiency,” specify where AI fits. For example, your answer might explain that AI is best positioned as a starting point, rather than a final answer. Then, you might go on to describe AI as a pattern-recognition tool and a “thought partner,” while maintaining that AI should not be used as a decision-making machine and that it is not a substitute for human judgment.
Emphasizing Human Judgment as the Differentiator
The best answers to this question clearly articulate that the consultant’s value lies in framing the right question before analysis begins, interpreting outputs in a specific client context, making tradeoffs under uncertainty, and standing behind a recommendation when stakes are high.
Along with this, a strong answer might note that AI can generate options, but consultants are still ultimately responsible for deciding which option is defensible, feasible, and aligned with the client’s constraints. This reassures interviewers that you don’t see AI as replacing the role you’re applying for.
Addressing Risk Without Sounding Alarmist
Interviewers actually expect you to acknowledge risks, albeit in a measured way. Here, you might touch on AI’s tendency to “hallucinate” or provide overly confident outputs, data privacy and client confidentiality concerns, the danger of outsourcing thinking (to AI) early on in a project, or, perhaps most importantly, the risk of consultants losing core problem-solving skills due to overuse of AI.
Remember, you want to frame these points as challenges to be prepared for, rather than reasons to avoid AI altogether. The last thing you want to do when answering this question is make it seem like you’re against using AI, as firms are implementing these tools across the board and it’s incredibly important that you remain on the cutting edge of AI tech in your field.
Showing How You Would Use AI
Of course, you’ll also have to demonstrate how you’d implement AI in your role. Imagine that along with the question we’re covering, a second unspoken follow-up question is being asked: “What would you do if we handed you these tools tomorrow?”
Here, you’ll want to describe using AI tools to help stress-test assumptions, generate alternate hypotheses, and pressure-check your thinking and solutions. Remember, this isn’t about how you’d use AI to solve the problem, but rather how you’d use AI to enhance your own thinking.
Ultimately, this question isn’t about whether you’re “pro-AI” or “skeptical of AI.” The key to answering this question effectively is demonstrating curiosity while remaining grounded, displaying tech-literacy without coming off as being completely dazzled by technology, and showing that you’re comfortable operating AI tools and navigating gray areas. If you treat this question as a prompt to show how you think, rather than what you know, you’re already ahead of the game.
Rob Porter is an editor at Vault.
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