McKinsey is testing a new interview format where candidates interact with an AI-generated client instead of a human client role-player. The McKinsey AI avatar interview is designed to assess communication, active listening, adaptability, and business judgment through a simulated client conversation. Introduced as a pilot in 2026, the format raises important questions about how the McKinsey AI interview works, who must complete it, and how candidates should prepare. Unlike traditional case interviews, this assessment emphasizes responding to client concerns and unexpected information. In this article, we will explore the interview format, evaluation criteria, candidate eligibility, and practical preparation strategies.
TL;DR - What You Need to Know
The McKinsey AI avatar interview is a 10-minute simulated client conversation designed to assess candidates' communication, adaptability, listening skills, and business judgment.
- The 2026 pilot targets selected undergraduate Business Analyst candidates in North America, with broader implementation yet to be confirmed.
- The AI avatar simulates a realistic client conversation where the client may ask questions, raise concerns, seek clarification, or introduce new information.
- Human McKinsey assessors evaluate candidate performance; the AI does not independently score interviews or make hiring decisions.
- The AI avatar interview differs from traditional case interviews by emphasizing client interaction rather than structured business problem-solving.
- Candidates can prepare by practicing active listening, concise recommendations, evidence-based responses, and adapting to unexpected client feedback.
What Is the McKinsey AI Avatar Interview?
The McKinsey AI avatar interview is an AI-enabled assessment in which candidates speak with a virtual client instead of a human playing the client's role. It is designed to simulate realistic consulting interactions and give human interviewers an opportunity to observe how candidates handle client questions, concerns, and new information.
Rather than solving another conventional case from beginning to end, candidates participate in a conversation resembling an actual consulting client meeting.
The avatar represents a client stakeholder who may challenge assumptions, seek clarification, or introduce information that changes the direction of the discussion.
The pilot was reported in October 2026 and represents one of several AI-enabled interview experiences McKinsey is testing.
Unlike an automated video interview, the format is interactive. Candidates respond to the virtual client's statements as the conversation develops.
McKinsey has emphasized that human assessors remain responsible for evaluating candidates. The AI avatar does not independently assign a hiring score or make selection decisions.
How Does the McKinsey AI Avatar Interview Work?
The McKinsey AI avatar interview format involves a short, interactive conversation with an AI-generated client using a laptop. Candidates respond to the client's questions and concerns while McKinsey interviewers observe. The reported pilot takes place after a case interview and lasts approximately 10 minutes.
Here is what has been reported about the format.
| Interview component | Reported details |
|---|---|
| Interview type | AI-powered simulated client conversation |
| Duration | Approximately 10 minutes |
| Target candidates | Selected undergraduate Business Analyst applicants |
| Locations | Some North American McKinsey offices |
| Format | In-person, using a laptop |
| Timing | Following the case interview |
| Client interaction | AI avatar portraying a client stakeholder |
| Evaluation | Human McKinsey assessors |
| AI scoring | No autonomous AI scoring |
| Rollout | Fall 2026 pilot, with potential expansion |
Source: October 2026 reporting and McKinsey comments published by Management Consulted.
A typical interaction may include three broad activities:
- Communicating an initial recommendation: The candidate explains an idea, conclusion, or business recommendation to the virtual client.
- Responding to client feedback: The avatar introduces questions, concerns, or additional information.
- Adapting the discussion: The candidate acknowledges the client's perspective and adjusts the recommendation or next steps where appropriate.
These are useful preparation stages, not an officially published three-step interview structure.
McKinsey has not released a complete public question bank or a detailed scoring rubric for the avatar pilot.
What Types of Questions Could the McKinsey AI Avatar Ask?
The McKinsey AI avatar interview questions are intended to reflect realistic consulting client conversations rather than abstract technical challenges. Based on the reported pilot, candidates may encounter simulated clients who ask for explanations, raise practical business concerns, or share additional information. The interaction is intended to reflect realistic consulting conversations rather than deliberately confrontational situations or trick questions.
The avatar can represent different client personalities.
One reported example involves a client with a professorial style who wants to understand the reasoning behind a recommendation.
McKinsey has also described a hypothetical situation involving a national coffee chain considering expansion into ready-to-drink beverages sold in supermarkets. In that example, the avatar acts as a business development executive who introduces relevant information that the candidate may not have considered.
Illustrative practice scenario
Imagine you are advising a retail company that wants to open 50 new stores over the next three years.
You recommend expanding into suburban markets because customer demand is increasing.
The AI client responds:
"We've tried suburban expansion before, and several stores underperformed. Why should we believe this strategy will work now?"
A weaker response would be to repeat your recommendation without addressing the client's concern.
A stronger response would acknowledge the historical results, ask what drove the earlier underperformance, and explain how that information would change the expansion analysis.
For example:
"That's an important concern. Before recommending another expansion, I'd want to understand whether the earlier stores struggled because of location selection, customer demand, or operating costs. That would help us determine whether the previous challenges still apply."
The objective is not to agree with everything the client says. It is to demonstrate that you can listen, evaluate new information, and respond thoughtfully.
Note: This retail scenario and sample dialogue are CaseBasix practice examples, not actual McKinsey interview questions.
What Skills Does McKinsey Evaluate in the AI Avatar Interview?
The McKinsey AI avatar interview assessment focuses on how candidates interact with clients in changing situations. Reported comments from McKinsey partners emphasize listening, responding to new information, and avoiding rigid, rehearsed responses. Candidates should be prepared to demonstrate sound judgment rather than simply delivering polished recommendations.
The following skills align with the behaviors described in public reporting. They should not be interpreted as an official scoring rubric.
| Skill | What it means | Example of strong behavior |
|---|---|---|
| Active listening | Understanding the client's priorities and concerns | Acknowledging a concern before responding |
| Adaptability | Adjusting thinking when new information emerges | Revisiting a recommendation after learning about a constraint |
| Communication | Explaining complex ideas clearly | Using concise, accessible language |
| Client empathy | Understanding the stakeholder's perspective | Recognizing financial or operational concerns |
| Business judgment | Evaluating information before reaching conclusions | Distinguishing important facts from less relevant details |
| Collaborative problem-solving | Working through disagreement constructively | Asking targeted questions and proposing next steps |
One important distinction is that the avatar interview is not primarily about producing the most sophisticated analytical framework.
A candidate can have a strong recommendation but still struggle to explain it to a client.
Conversely, effective communication requires more than confidence. The candidate must demonstrate that the recommendation remains grounded in sound reasoning.
McKinsey's reported emphasis on responsiveness suggests that adaptability during the conversation is especially important.
How Is the McKinsey AI Avatar Interview Different From a Traditional Case Interview?
The McKinsey AI avatar interview differs from a traditional case interview because it places greater emphasis on a simulated client interaction. Traditional cases assess structured problem-solving and analytical reasoning through a business problem. The avatar conversation provides an additional opportunity to observe communication, listening, and adaptability.
| Dimension | Traditional McKinsey case interview | AI avatar client interview |
|---|---|---|
| Main interaction | Human interviewer | AI-simulated client |
| Primary activity | Solving a business problem | Discussing a recommendation or client issue |
| Typical structure | Problem definition, analysis, recommendation | Interactive client conversation |
| Quantitative analysis | Often central | Extent not publicly specified |
| Client communication | Assessed throughout | Central to the interaction |
| Adaptability | Important | Explicitly emphasized |
| Evaluator | Human interviewer | Human interview assessor |
| Format maturity | Established | Pilot in 2026 |
The two formats are not necessarily substitutes.
The avatar exercise is being tested alongside McKinsey's established selection process, rather than as a confirmed replacement for traditional case interviews.
This matters because candidates should continue developing core case interview skills, including problem structuring, business judgment, quantitative analysis, and synthesis.
How Does the AI Avatar Interview Differ From McKinsey's Other AI Assessments?
The McKinsey AI avatar interview is different from its other AI-enabled interview formats because the AI plays the client rather than helping the candidate analyze a problem. McKinsey has also tested AI-assisted case interviews, including experiences involving its internal AI platform, Lilli. McKinsey Solve remains a separate digital problem-solving assessment. These different uses of AI should not be confused with the avatar pilot, in which AI simulates a client.
Understanding these distinctions can prevent candidates from preparing for the wrong format.
| Assessment | Role of AI | Candidate activity | Main distinction |
|---|---|---|---|
| AI avatar interview | Simulates a client | Communicate with a virtual stakeholder | AI acts as the client |
| AI-assisted case interview | Supports case analysis | Use an AI tool during part of a case | McKinsey described using ChatGPT |
| Lilli interview pilot | Provides analytical assistance | Work with McKinsey's internal AI platform | Reported separately in select final rounds |
| McKinsey Solve | Delivers a digital problem-solving assessment | Complete interactive reasoning tasks | Separate assessment format |
In a July 2026 interview, McKinsey's Director of Talent Assessment described an AI-assisted case format in which candidates initially work through a case without AI, use an AI tool during part of the exercise, and then continue without it.
The firm emphasized that candidates should demonstrate critical thinking and judgment when using AI-generated information, rather than simply accepting its output.
The avatar format takes a different approach. Instead of asking candidates to use AI to generate insights, it allows assessors to observe how candidates communicate with an AI client.
The key distinction: In an AI-assisted case, you work with AI. In the avatar interview, you communicate to an AI-simulated client.
McKinsey has tested different AI-enabled interview experiences, including the AI avatar conversation, AI-assisted case interviews, and reported pilots involving its internal Lilli platform. While these formats demonstrate different uses of AI in recruiting, the exact relationship between the AI-assisted case interview and the Lilli pilot has not been fully clarified publicly.
Who Will Take the McKinsey AI Avatar Interview in 2026?
The McKinsey AI avatar interview pilot in 2026 is targeted at selected undergraduate candidates applying for Business Analyst positions in North America. The reported pilot involves potentially hundreds of applicants, but McKinsey has not publicly confirmed a comprehensive list of participating offices or a universal requirement for all applicants.
The current picture is:
- Undergraduate Business Analyst applicants: Some North American candidates may participate.
- MBA applicants: A rollout to MBA recruiting has not been confirmed.
- Advanced degree candidates: Participation has not been publicly established.
- Experienced hires: No confirmed general rollout has been announced.
- Other geographies: A comprehensive international deployment schedule has not been published.
Reporting suggests McKinsey could expand the format to other roles in 2027 if the pilot is successful. However, that is a potential next step, not a confirmed worldwide implementation.
McKinsey's official careers website says candidates selected for an AI-enabled interview experience will be informed in advance.
Candidates should therefore rely on their interview invitation and recruiter for information about which assessments apply to their specific process.
How Should Candidates Prepare for the McKinsey AI Avatar Interview?
Preparing for the McKinsey AI avatar interview should focus on natural client communication rather than memorizing predetermined answers. McKinsey states that no additional preparation is required for its AI-enabled interview pilots. However, practicing listening, clear recommendations, and responses to unexpected information can strengthen skills relevant to consulting interviews more broadly.
The exercises below are CaseBasix preparation recommendations, not official McKinsey requirements.
1. Practice explaining recommendations to nontechnical clients
Choose a business problem and explain your recommendation in 30–60 seconds.
Focus on communicating the answer, supporting reasoning, and business implications.
Avoid using excessive consulting terminology.
2. Practice active listening
Have a practice partner interrupt your recommendation with a realistic concern.
Before responding, restate the concern briefly to demonstrate understanding.
For example:
"If I understand correctly, your main concern is the upfront investment and how quickly the project will generate returns."
Then address that concern directly.
3. Practice responding to unexpected information
Ask your practice partner to introduce a new fact that challenges your original recommendation.
Evaluate whether the information changes the conclusion or simply requires additional investigation.
Strong candidates should be willing to change their views when the evidence justifies it.
4. Practice handling disagreement professionally
A client may disagree with your recommendation even when the analysis is sound.
Avoid becoming defensive or abandoning your conclusion without a reason.
Instead, explain your assumptions, understand the source of disagreement, and identify what evidence would help resolve it.
5. Practice concise communication
Use a simple structure when responding to questions:
Acknowledge → Answer → Explain → Next step
For example:
- Acknowledge the client's concern.
- Provide a clear response.
- Explain the supporting reasoning.
- Suggest the next analysis or action.
This structure can help maintain clarity without making the interaction overly scripted.
What Mistakes Should Candidates Avoid in the AI Avatar Interview?
The most important McKinsey AI avatar interview mistakes to avoid involve poor listening, rigid recommendations, and unclear communication. Candidates who focus entirely on delivering rehearsed answers may overlook new client information. Stronger performance comes from engaging with the stakeholder, evaluating changing facts, and adapting the discussion appropriately.
| Common mistake | Why it can hurt | Better approach |
|---|---|---|
| Ignoring new information | Shows limited adaptability | Reassess the recommendation when relevant facts change |
| Interrupting the client | Can prevent understanding | Let the client finish and acknowledge the concern |
| Overusing consulting jargon | Makes recommendations harder to understand | Use direct business language |
| Defending every assumption | Suggests inflexible judgment | Distinguish assumptions from established facts |
| Agreeing with everything | Weakens independent thinking | Respectfully explain evidence-based disagreements |
| Giving excessively long answers | Makes important points harder to identify | Lead with the answer and explain only what matters |
One potentially important mistake is treating the avatar like a conventional chatbot.
The reported format is designed to resemble a real client conversation, not an exercise in generating elaborate prompts.
Candidates should approach the interaction as they would a professional discussion with a business stakeholder.
Will the McKinsey AI Avatar Interview Replace Human Interviewers?
The McKinsey AI avatar interview is not currently intended to replace human interviewers. The avatar simulates a client interaction, while McKinsey assessors observe and evaluate the candidate. The firm has explicitly stated that AI does not autonomously make hiring decisions, and its human recruiting teams remain responsible for candidate selection.
McKinsey has also suggested that standardized virtual-client scenarios could help make certain interview experiences more consistent.
For example, different human interviewers may portray clients with different levels of difficulty.
A simulated client could reduce some of this variability by providing a more consistent scenario.
However, consistency does not automatically establish that an assessment is fair or predictive of consulting performance.
Public information has not yet established how the pilot compares with traditional interview methods in areas such as candidate experience, evaluation consistency, or predictive validity.
Those questions may become clearer as the pilot develops.
What Is Still Unknown About the McKinsey AI Avatar Interview?
Several important details about the McKinsey AI avatar interview remain unconfirmed as of October 24, 2026. Although the reported format and initial candidate population are clearer, McKinsey has not publicly released a complete scoring rubric, office participation list, evaluation weighting, or definitive timeline for a broader rollout.
| Open question | Current status |
|---|---|
| Which offices participate? | Complete list not publicly confirmed |
| How much does the exercise count toward hiring decisions? | Exact weighting not disclosed |
| Is there an official scoring rubric? | No detailed public rubric identified |
| What are the exact questions? | Complete question bank not publicly available |
| Will MBA candidates take it? | Not confirmed |
| Will experienced hires take it? | Not confirmed |
| Will it expand globally? | No confirmed global rollout schedule |
| When will the pilot become permanent? | Not announced |
| How effective is the new format? | Comparative pilot results not publicly available |
McKinsey's official recruiting guidance remains the most relevant source for candidates who receive an invitation.
Until additional information is released, candidates should avoid treating speculative interview scripts or unofficial scoring claims as confirmed McKinsey requirements.
What Does the McKinsey AI Avatar Interview Mean for Future Consulting Recruitment?
The McKinsey AI avatar interview signals a shift toward assessing interpersonal judgment in AI-enabled consulting environments. While the pilot does not establish that AI avatars will become standard across consulting recruitment, it demonstrates how firms can use simulated client interactions to observe communication, adaptability, and decision-making.
As AI becomes more integrated into consulting work, technical problem-solving may increasingly be supported by digital tools.
However, consultants still need to understand client priorities, explain recommendations, build trust, and exercise independent judgment.
The avatar pilot reflects that distinction.
A consultant may use AI to accelerate analysis, but delivering a successful recommendation still requires effective interaction with people.
For candidates, this means traditional case preparation remains relevant. Structured thinking, business judgment, and quantitative skills are still necessary.
The additional lesson is that candidates should practice communicating their conclusions in a way that clients can understand, challenge, and act upon.
Conclusion: What Should Candidates Know About McKinsey's New AI Interview?
The McKinsey AI avatar interview is an emerging assessment that simulates a client conversation using artificial intelligence.
As of October 2026, it remains a pilot for selected undergraduate Business Analyst candidates in North America, with human assessors responsible for evaluating performance.
Although the technology is new, the underlying consulting skills are familiar: listening carefully, communicating clearly, responding to changing information, and supporting recommendations with sound reasoning.
Candidates should continue preparing for traditional case interviews while developing the communication skills needed to handle realistic client interactions.
The most important takeaway is simple: A strong consultant does not just provide the right answer. A strong consultant also listens, adapts, and helps the client understand what to do next.
Frequently Asked Questions
1. What is the McKinsey AI avatar interview?
The McKinsey AI avatar interview is a roughly 10-minute simulated client conversation being piloted with selected undergraduate Business Analyst candidates in North America. Candidates interact with an AI-generated client while human McKinsey assessors observe and evaluate their communication, listening, and adaptability.
2. Does McKinsey's AI avatar score candidates?
No. McKinsey states that human assessors remain responsible for interview evaluations. The AI avatar simulates a client conversation but does not independently score candidates or make hiring decisions. Human interviewers observe how candidates respond to new information and client concerns.
3. Is the McKinsey AI avatar interview mandatory for all applicants?
No. As of October 2026, the avatar interview is a limited pilot involving selected undergraduate Business Analyst applicants in some North American offices. McKinsey has not announced a universal rollout across all offices, roles, or candidate groups.
4. How can I prepare for the McKinsey AI avatar interview?
McKinsey says no additional preparation is required for selected AI-enabled interviews. However, practicing realistic client conversations can develop relevant consulting skills. Focus on active listening, concise recommendations, thoughtful responses to new information, and constructive handling of client concerns.
5. Is the McKinsey AI avatar interview the same as McKinsey Solve?
No. McKinsey Solve is a separate digital problem-solving assessment, while the AI avatar interview simulates a client conversation. The avatar exercise emphasizes real-time interaction and communication, with human assessors evaluating candidates. The two formats serve different purposes within McKinsey's recruiting process.

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