McKinsey Tests AI Client Interviews to Assess Freshers for Consulting Jobs

McKinsey & Company is reportedly testing a new approach to hiring entry-level consultants: asking selected applicants to hold a conversation with an artificial intelligence-generated client before they can land a job. The 10-minute exercise is designed to test how candidates respond to client concerns, explain their reasoning and adapt when a discussion takes an unexpected turn.

The pilot is reportedly being conducted with undergraduate students applying for business analyst positions at selected McKinsey offices in North America during autumn 2026. Human interviewers will observe the conversations and assess candidates, while the AI avatar simulates a client interaction. The initiative reflects a broader shift in recruitment, as employers explore ways to evaluate practical communication and problem-solving skills rather than relying exclusively on conventional interview questions.

Key Takeaways

• AI-powered client simulation: Selected entry-level applicants reportedly participate in a 10-minute conversation with an AI-generated client avatar.
• Human assessment remains central: Interviewers observe how candidates communicate, respond to concerns and adapt their approach.
• Different client personalities: The AI can simulate clients who ask detailed questions or want to understand the reasoning behind a recommendation.
• Pilot, not a universal requirement: The reported trial covers selected North American offices and undergraduate business analyst applicants.
• Potential expansion: McKinsey could extend the exercise to other roles if the pilot proves successful, according to reporting.
• A broader recruitment trend: The approach highlights the growing importance of communication, judgment and adaptability in workplaces increasingly shaped by AI.

How McKinsey’s AI Interview Process Works

According to reports published on October 15, 2026, candidates participating in the pilot will speak with an AI-generated client avatar on a laptop at a McKinsey office. The conversation will last approximately 10 minutes, with human interviewers or partners present to observe the interaction.

Rather than simply asking candidates to explain their qualifications, the exercise aims to recreate a situation consultants may encounter after joining the firm. A client might question a recommendation, request a clearer explanation or introduce new information that requires the candidate to reconsider an initial response.

The goal is to observe how applicants handle a dynamic conversation. Do they listen carefully before responding? Can they explain a recommendation in plain language? Do they acknowledge a client’s concerns and adjust their reasoning when circumstances change?

These behaviors matter in consulting because an analytically sound recommendation is not necessarily useful if a client cannot understand it, disagrees with its assumptions or has concerns that remain unresolved.

What Kind of AI Client Will Candidates Face?

The reported tool can simulate different client personalities. One example is a “professorial” client who wants to understand the reasoning behind a proposed recommendation rather than simply accept the conclusion.

This type of interaction can test whether a candidate understands the logic behind an answer. Instead of repeating a prepared response, the applicant may need to explain assumptions, clarify evidence and respond to follow-up questions.

McKinsey partner Saleem Zafar, who helped design the pilot, reportedly said the avatar was not intended to behave like an unreasonable client or set trick questions. The exercise is intended to represent situations consultants encounter in their day-to-day work.

The report describes the simulation as aiming to reproduce approximately 80% of typical consulting scenarios. That figure should be understood as a description of the intended realism of the exercise, not an independently verified measurement of its accuracy.

What Skills Will McKinsey Look For?

The reported exercise places emphasis on how candidates behave during a conversation, not simply whether they can deliver a polished answer.

Skill	What the interviewer may observe
Active listening	Whether the candidate identifies the client’s actual concern
Clear communication	Whether the explanation is understandable and logically structured
Analytical reasoning	Whether recommendations are supported by evidence and sound assumptions
Adaptability	Whether the candidate responds constructively to new information
Client empathy	Whether the candidate acknowledges concerns rather than dismissing them
Judgment	Whether the candidate recognizes when to reconsider or clarify a recommendation
Composure	Whether the candidate remains thoughtful when challenged

The precise scoring rubric and the weight assigned to this exercise have not been publicly established in the reporting. The table therefore describes the skills suggested by the exercise, not a confirmed official scorecard.

For applicants, the practical implication is that knowing an answer may not be enough. They must also demonstrate how they arrived at it and whether they can explain it to someone who does not immediately agree.

Why McKinsey Is Experimenting With AI in Hiring

Consulting interviews traditionally assess candidates through structured problem-solving discussions, personal-experience questions and other role-specific exercises. These formats can reveal analytical ability, but they may not fully reproduce the unpredictability of a client conversation.

An AI avatar offers a repeatable way to introduce questions, objections and changes in direction. Candidates can face broadly similar scenarios, potentially making it easier for interviewers to compare how applicants respond.

McKinsey reportedly believes the approach could also improve consistency. Human interviewers may differ in how much they challenge a candidate or how they conduct a conversation. A standardized simulation could help make one part of the interview experience more comparable.

However, consistency alone does not guarantee fairness. An AI simulation may still reflect limitations in its design, the scenarios it presents or the assumptions used to evaluate performance. Candidates may also react differently to simulated conversations than they would to real clients.

The pilot will need to demonstrate that the exercise provides useful information about candidates without introducing new disadvantages.

Will AI Decide Who Gets the Job?

No, according to the reports describing this pilot. Human interviewers will remain responsible for assessing applicants. The AI avatar is intended to play the client, rather than independently determine hiring outcomes.

That distinction matters because AI-powered recruitment raises questions about accountability. Candidates need to know whether a system is simulating an interview, recommending a score or making an employment decision.

In McKinsey’s reported exercise, the human observers will evaluate how applicants listen, respond to concerns and adjust their answers. The available reporting does not establish a complete scoring framework or explain exactly how the exercise will influence final hiring decisions.

McKinsey’s published careers guidance also describes other parts of its recruitment process, including problem-solving and personal-experience interviews for many client-facing roles. The new exercise should not be interpreted as replacing those assessments across the company.

Applicants should follow the instructions provided for their specific role and interview invitation rather than assuming every office uses the same process.

What This Means for Freshers and Graduate Job Seekers

For students and recent graduates, the development offers a useful signal about the skills employers may want to observe in addition to academic performance.

First, candidates should practise explaining their reasoning. When making a recommendation, they should be able to identify the evidence supporting it, explain the assumptions involved and acknowledge what remains uncertain.

Second, active listening is essential. A candidate who immediately delivers a rehearsed answer may overlook the client’s real concern. Asking a clarifying question before responding can demonstrate that the candidate understands the problem rather than simply trying to sound confident.

Third, applicants should become comfortable with changing information. If a client introduces a new constraint, a strong response may involve revisiting an earlier conclusion rather than defending it at all costs.

Finally, candidates should learn to communicate with non-specialists. Consultants often need to turn complex analysis into recommendations that business leaders can understand and act on.

These are useful preparation habits for case interviews, group discussions, client-facing jobs and many other professional roles, whether or not an employer uses an AI avatar.

Could AI Interviews Become More Common?

Employers are already experimenting with AI across recruitment, from résumé screening and online assessments to tools designed to support interview preparation. Simulated client conversations represent another possible use: creating a controlled environment in which candidates can demonstrate practical skills.

Such systems could help employers introduce repeatable scenarios and reduce differences between interview experiences. They may also allow candidates to be evaluated on how they respond to realistic workplace situations instead of relying entirely on hypothetical questions.

But adoption will depend on more than technical capability. Employers must consider privacy, accessibility, reliability and whether the exercise measures skills that genuinely predict performance on the job.

There is also a difference between using AI to simulate a client and using AI to evaluate a candidate. A system may perform well at generating realistic dialogue while still being unsuitable for making judgments about a person’s communication or professional potential.

McKinsey’s reported pilot will provide an opportunity to test the simulation in a real recruitment setting. Its longer-term impact will depend on how useful the exercise proves to human interviewers and whether the firm decides to expand its use.

The Bigger Picture

The reported pilot illustrates how AI is beginning to change not only the work employees perform but also the way companies evaluate prospective employees. For a consulting firm, the ability to analyse information remains important, but so does the ability to explain a conclusion, handle disagreement and work through uncertainty with a client.

The approach also raises a broader question for recruitment: how can employers use AI to create more consistent assessments without allowing a simulated interaction to become a misleading measure of a candidate’s potential? Human oversight, transparent criteria and evidence that the exercise relates to real job performance will be important considerations.

What Happens Next?

McKinsey is reportedly testing the AI-client exercise with undergraduate applicants for business analyst roles at selected North American offices during autumn 2026. If the pilot is successful, the firm may expand it to other roles in 2027, although a broader rollout and its exact scope have not been confirmed.

For now, applicants should prepare for the requirements specified in their own recruitment process. Practising structured problem-solving, clear explanations, active listening and thoughtful responses to follow-up questions can help candidates prepare for consulting interviews more generally. The key question for employers will be whether AI simulations provide meaningful additional insight while keeping final hiring judgments accountable to people.

Frequently Asked Questions

1. What is McKinsey’s AI-client interview?

It is a reported pilot in which selected entry-level applicants speak with an AI-generated avatar that acts as a client. The approximately 10-minute exercise is designed to simulate consulting conversations and show how candidates respond to questions and concerns.

2. Does McKinsey’s AI avatar decide who gets hired?

No. Reports say human interviewers observe the exercise and remain responsible for assessing candidates. The AI avatar simulates a client rather than independently making the hiring decision.

3. Who will participate in the pilot?

The reported trial involves undergraduate students applying for business analyst positions at selected McKinsey offices in North America. It has not been established that the exercise applies to every McKinsey applicant or every location.

4. How should freshers prepare for an AI-client interview?

Candidates can practise explaining their reasoning, listening carefully, asking clarifying questions and adapting when new information changes a problem. These skills are useful for consulting interviews generally, although the exact assessment criteria for this pilot have not been fully disclosed.