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McKinsey Launches Free AI Interview Prep Tool

McKinsey has launched a free AI tool for interview preparation. Candidates for entry-level positions now have unlimited attempts to practice case studies they will encounter during interviews. The company calls this an attempt to level the playing field for candidates who cannot afford coaches costing $500 per hour.

AI-processed from TNW; edited by Hamidun News
McKinsey Launches Free AI Interview Prep Tool
Source: TNW. Collage: Hamidun News.
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McKinsey launched in April a free AI tool for preparing candidates for interviews for junior-level positions. It allows unlimited practice on quantitative case studies—the tool is available globally.

What's New at McKinsey

The consulting firm introduced the tool for candidates applying for business analyst and associate roles. Candidates gain unlimited access to quantitative case practice—one of the most challenging parts of McKinsey interviews, where candidates must solve analytical problems quickly and under pressure. The tool is built on AI and analyzes the candidate's approach, not just the answer. This helps candidates understand where they make logical errors, not just whether their final result is correct.

The Problem: Unequal Starting Points

The problem McKinsey is trying to solve has been hidden in society for years. Good interview coaches charge $300–500 per hour. If a young person can afford several sessions, their chances of passing the interview are significantly higher. But a talented candidate from a low-income family simply cannot afford a coach. McKinsey recognizes this creates injustice:

  • A candidate with access to coaches gains enormous advantage in skills and confidence
  • Talented people lose the opportunity to join the company due to finances, not ability
  • The company loses the best candidate simply because they couldn't afford to spend $2,000 on preparation
  • This masks true ability behind money, rather than case-solving skills

How the AI Tool Changes the Game

Unlimited access to case practice means a candidate can prepare as much as needed. AI analyzes each solution and points out errors in logic and approach. A candidate can walk into an interview confident in their skills, rather than hoping for luck. This also benefits McKinsey itself. The company gains a more honest pool of candidates where ability is separated from financial resources. The interview becomes a true test of skills, not a test of access to expensive coaching.

What This Means

This is a signal that major employers see injustice in the hiring system and are trying to solve it. AI tools are becoming not just a means of automation, but a tool for equalizing access. McKinsey is setting a standard: if a company wants to hire the best, it must give candidates equal opportunities.

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