McKinsey is restructuring one of the most scrutinized hiring processes in professional services to test something its competitors are not yet formally measuring: can you actually work with AI? The firm has added an AI fluency stage to its graduate recruitment using its internal tool Lilli, making it the first major consulting firm to formally assess how well candidates collaborate with AI as a core hiring criterion.
The elite consulting firm has begun asking candidates to use its AI tool Lilli as part of its notoriously taxing tests for business school graduates. Candidates that were part of the pilot were asked to use the chatbot during one of their interviews to replicate how the firm expects its consultants to work as the technology transforms office jobs. The candidates used Lilli to help analyse a case study and refine their conclusion. The interview tested how applicants prompted Lilli and whether they had the "curiosity and judgment" to "take stuff that Lilli spits out and work with it, challenge it, put it into context of the client's specific requirements." The Irish Times
The emphasis is on judgment, not technical skill. McKinsey is not looking for prompt engineers.
The Scale of McKinsey's AI Workforce
McKinsey CEO Bob Sternfels recently told the Harvard Business Review that the firm had a workforce of some 20,000 agents supporting its 40,000 employees. A year and a half ago, the firm had the same number of humans but just 3,000 agents. Sternfels has said that in another 18 months, he expects every employee will be enabled by one or more agents. HR Grapevine USA
That is a 566% increase in AI agent deployment in 18 months. The AI interview is not a recruitment experiment - it is a hiring filter built for a workforce that will be running at that scale.
The Liberal Arts Signal
McKinsey CEO Sternfels said AI models have developed an expertise in problem-solving, and that the company would be "looking more at liberal arts majors, whom we had deprioritized," for potential sources of creativity as the firm moves to find creative solutions beyond logical next steps. Fortune
This is a meaningful shift. When a firm that built its brand on analytical rigor says it wants more creativity and less pattern-matching, it is because AI can now handle the pattern-matching reliably.
What This Means for Your Business
From my sales background, I know the difference between what a hiring process signals and what it actually measures. McKinsey's Lilli interview signals something real: AI fluency is becoming a prerequisite for professional roles, not an enhancement. If your organization is not yet incorporating AI competency into performance reviews, hiring criteria, or role design, you are already behind the firms that are. The question is not whether to require AI fluency from employees. It is how quickly you can define what that means for your specific business and build it into your talent systems.
