McKinsey launches free AI tool to replace $500/hour interview coaches
▼ Summary
– McKinsey launched a free AI practice tool in April for unlimited quantitative case study practice, available globally for entry-level business analyst and associate applicants.
– The firm is piloting the use of its internal AI assistant Lilli during final-round interviews, where candidates must use it to analyze case studies and refine conclusions.
– Interviewers evaluate how candidates prompt Lilli, assess its outputs, and apply them to client scenarios, measuring curiosity and judgment rather than prompt engineering.
– McKinsey has cut approximately 200 technology roles and reduced its overall workforce by over 10% between 2023 and 2025, with entry-level roles most affected.
– The hiring shift reflects that AI fluency is now a condition of entry, as consultants must move beyond analysis to problem framing and judgment alongside AI.
McKinsey has introduced a free AI-powered interview practice tool designed to help candidates prepare for the quantitative case study portion of their application process. Available globally since April, the tool targets applicants for entry-level business analyst and associate roles, offering unlimited practice sessions that mirror real interview scenarios. The firm’s stated goal is to create a more equitable playing field for candidates who may not have access to expensive consulting coaches, which typically charge between $200 and $500 per hour.
Marie Christine Padberg, McKinsey’s global talent attraction co-leader, explained that the tool also aims to reduce candidate anxiety. “Doing quantitative things is one thing, but doing it while somebody’s watching you is something else,” she told Business Insider. By allowing unlimited practice, the tool helps candidates build confidence and familiarity with the material they will face.
The practice tool is just one component of a larger AI integration into McKinsey’s hiring process. Since January, the firm has been piloting the use of its internal AI assistant, Lilli, during final-round interviews for business school graduates. In this pilot, candidates are asked to use Lilli to analyze a case study and refine their conclusions. Interviewers evaluate how candidates prompt the system, assess its outputs, and apply them to a specific client scenario. The focus is on curiosity and judgment, not technical prompt engineering.
McKinsey is not testing whether candidates can avoid AI. Instead, it is testing whether they can work with it effectively. This shift reflects a broader change in consulting work itself. Consultants are now expected to move beyond analysis that clients can handle internally and toward problem framing, judgment, and implementation.
The scale of AI adoption inside McKinsey makes this hiring shift logical. CEO Bob Sternfels noted at CES in January that the firm now has approximately 25,000 AI agents supporting its 60,000 human employees, up from 3,000 just 18 months ago. More than 75% of McKinsey employees use Lilli monthly. At the same time, the firm has cut about 200 technology roles as AI automates non-client-facing operations. McKinsey’s overall workforce shrank by more than 10% between 2023 and 2025, with entry-level roles most affected,precisely the positions the AI practice tool is designed to help candidates secure.
The tension between AI creating and eliminating jobs is playing out across the broader hiring market. Forward deployed engineer postings are up 19x year over year. Claude Evangelists earn $240,000. Chief AI Officers command nearly $500,000. The jobs AI creates pay more and require different skills than the ones it replaces.
McKinsey’s approach codifies that shift into the interview itself. The firm is not asking candidates whether they can use AI. It is making AI fluency a condition of entry. CaseBasix, a consulting interview preparation firm, expects BCG and Bain to follow with similar AI interview components.
The broader pattern is consistent. Detroit’s automakers are cutting white-collar staff while posting AI roles. Salesforce eliminated 4,000 support jobs after deploying AI agents. McKinsey is simultaneously reducing its workforce and redesigning its hiring process to select for people who can work alongside the technology that is making others redundant.
Padberg emphasized the importance of the quantitative component, noting that “even in an AI-enabled workplace, consultants still need to understand how numbers connect and what they mean.” AI can generate analysis, but it cannot yet determine whether that analysis is relevant to a specific client’s problem. That judgment gap is what McKinsey’s interview is now designed to test.
For the class of 2025 and 2026 graduates, the message is clear: AI fluency is no longer a bonus skill. At McKinsey, it is now part of the entrance exam. The free practice tool makes preparation accessible, while the Lilli interview sets the standard: if you cannot collaborate with AI under pressure, you will not get the job.
(Source: The Next Web)
