The Future of the Case Interview

50.1 Why the Case Interview Continues to Evolve

Consulting itself is changing. Consultants increasingly work with larger datasets, digital tools, AI, remote teams, and specialists from different disciplines. Recruiting methods must evolve alongside the work.

Firms also process large numbers of applications and need methods that can assess candidates consistently before expensive live interviews.

Result: The future is likely to involve multiple forms of assessment rather than one standardized interview format.

Candidates should therefore prepare for the skills being tested rather than assuming every firm will use exactly the same process.

50.2 Virtual Interviewing

Virtual interviewing is now an established part of consulting recruiting rather than an emergency substitute for in-person interviews. McKinsey provides specific guidance for virtual interviews, while some BCG and Bain recruiting processes combine virtual earlier rounds with later in-person interviews.

The core case skills remain the same, but candidates must manage additional challenges:

• Communication: Verbal structure becomes even more important.
• Note-taking: Your page organization must work without disrupting eye contact.
• Technology: Audio, video, and connectivity become part of preparation.
• Engagement: You must create conversational energy through a screen.

Key principle: Practice in the medium in which you will actually interview.

50.3 Digital Assessments

Digital assessments allow firms to evaluate problem solving before or alongside live interviews. Formats vary considerably. McKinsey uses its gamified Solve assessment, BCG uses online assessments such as its Consulting Career Assessment in some recruiting processes, and Bain notes that candidates may complete online assessments depending on the role.

These assessments may test analytical reasoning, quantitative ability, decision making, or how candidates approach unfamiliar problems.

Preparation implication: Develop transferable reasoning skills rather than attempting to memorize the mechanics of every possible test.

50.4 Interactive Online Cases

Some assessments increasingly resemble digital versions of cases rather than traditional aptitude tests.

For example, BCG uses an Online Case Experience in some markets that guides candidates through a business problem digitally and evaluates quantitative reasoning, data interpretation, calculations, and business logic. Some versions also require a brief recorded recommendation.

What remains familiar: You still need to understand the objective, interpret information, calculate accurately, identify insights, and reach a recommendation.

The interface changes. The underlying reasoning does not.

50.5 AI-Enabled Interviewing and Assessment

AI may increasingly support recruiting through screening, interview administration, candidate support, and assessment workflows.

In 2026, McKinsey published a privacy notice describing voluntary AI-assisted interviews for certain roles in which an AI chatbot can evaluate responses against predefined eligibility criteria, with human recruiters reviewing the resulting assessment before a hiring decision is made.

This does not mean that human consulting interviews are disappearing. Different roles, offices, and recruiting stages can use different combinations of technology and human evaluation.

Likely direction: Candidates should become comfortable interacting with both people and digital systems while maintaining the same disciplined reasoning.

50.6 How Firms May Evaluate Problem Solving Differently

Traditional cases allow an interviewer to observe your reasoning through conversation. Digital formats can observe problem solving through a different set of behaviors and responses.

Future assessments may place greater emphasis on:

• Adaptability: Responding to unfamiliar information.
• Decision making: Choosing among imperfect alternatives.
• Data interpretation: Extracting meaning from larger or more varied information.
• Judgment: Distinguishing important information from noise.
• Collaboration: Working effectively with humans and technology.

Preparation implication: Learning one rigid interview script becomes increasingly fragile. Transferable problem-solving ability becomes more valuable.

50.7 What AI Changes About Case Preparation

AI can dramatically increase the amount of customized practice available to candidates.

You can use it to generate structure drills, mental-math exercises, market-sizing questions, business scenarios, simulated interviews, and feedback on written or spoken answers.

Some firms themselves are embracing AI-supported preparation. McKinsey explicitly states that using AI to practice interview questions or explain concepts during preparation is acceptable, and it has also developed an AI-powered practice tool for recruiting preparation.

Best use: Treat AI as a practice partner that increases repetition and experimentation, not as an authority whose feedback is automatically correct.

50.8 What AI Cannot Substitute For

AI can generate cases and feedback, but it does not eliminate the need to develop your own judgment.

It also cannot fully reproduce:

• The pressure of being evaluated by a real interviewer.
• The subtle interpersonal dynamics of a live conversation.
• The need to establish credibility with another person.
• The experience of recovering from unexpected interviewer reactions.
• The judgment required to recognize when automated feedback itself is weak.

There is also an important boundary between preparation and assessment. Firms may prohibit AI assistance during actual interviews or assessments. McKinsey, for example, explicitly prohibits real-time AI assistance during interviews and assessments unless specifically permitted.

50.9 The Enduring Skills Behind the Case Interview

The format of case interviews may continue changing. The fundamental capabilities being tested are much less likely to disappear.

Those capabilities include:

• Problem definition: Understanding what actually needs to be solved.
• Structuring: Breaking complexity into manageable questions.
• Prioritization: Focusing on what matters most.
• Quantitative reasoning: Using numbers accurately and intelligently.
• Business judgment: Connecting analysis to real-world decisions.
• Adaptability: Updating your thinking when new evidence appears.
• Synthesis: Turning information into conclusions.
• Communication: Explaining complex thinking clearly and concisely.
• Collaboration: Solving problems productively with other people.

Technology may change how firms observe these skills, but it does not remove the need for them.

Final principle: Do not prepare for the future of case interviewing by trying to predict every new platform, assessment, or AI tool. Prepare by becoming genuinely good at solving unfamiliar problems. Formats will continue to evolve, but candidates who can structure ambiguity, work with evidence, exercise sound judgment, communicate clearly, and adapt quickly will remain prepared for whatever form the case interview takes next.