McKinsey tests graduates on AI tool Lilli as firm deploys 20,000 agents alongside human staff

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McKinsey is incorporating AI interviews into its graduate recruitment process, requiring candidates to demonstrate collaboration skills with its internal tool Lilli. The blue-chip consultancy now operates 20,000 AI agents alongside 40,000 employees, marking a 500% increase in just 18 months. CEO Bob Sternfels signals the firm is shifting toward liberal arts majors for creativity as AI handles problem-solving tasks.

McKinsey Integrates AI Chatbot in Recruitment Process

McKinsey has begun incorporating tests of AI tool proficiency into its graduate recruitment process, asking final-round candidates to collaborate with Lilli, the firm's internal AI chatbot. According to CaseBasix, a consulting interview preparation company, select candidates in the US are now required to complete an AI interview alongside traditional case interview assessments

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. The move signals that AI competence in professional roles has become essential for competing at the blue-chip consultancy, where demonstrating collaboration skills with AI is now as critical as traditional problem-solving abilities.

Source: Fortune

Source: Fortune

In the AI interview, candidates receive business questions or scenarios similar to real consulting tasks and must use Lilli as a support tool to explore information, structure thinking, and refine insights

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. CaseBasix notes that applicants are expected to prompt the AI, review its output, and apply judgment and reasoning to produce clear, structured responses. The focus remains on collaboration rather than technical AI expertise, with candidates assessed on how they interact with the tool as a "productive thinking partner"

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Massive Expansion of AI Agents at the Consulting Firm

The AI recruitment strategy reflects McKinsey's aggressive adoption of artificial intelligence across its operations. CEO Bob Sternfels revealed on Harvard Business Review's IdeaCast that the company now operates a "workforce" of 20,000 AI agents alongside its 40,000 human employees

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. This represents a staggering 500% increase from just 3,000 agents 18 months ago

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. Bob Sternfels predicts that within another 18 months, every employee will be enabled by one or more agents, creating a hybrid workforce that is both human and agentic

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McKinsey became an early adopter of Microsoft's Copilot Studio project in 2024, which enables autonomous AI agents to perform tasks such as handling client queries and identifying sales leads

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. This partnership with Microsoft has accelerated the firm's workforce transformation, positioning it to fundamentally reshape how consulting work gets delivered.

Shift Toward Liberal Arts Majors and Human Skills

As AI models develop expertise in problem-solving, Sternfels indicated the consulting firm would be "looking more at liberal arts majors, whom we had deprioritized" as potential sources of creativity

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. This shift acknowledges that while AI agents can handle logical analysis, human skills like creativity, aspiration, and judgment remain irreplaceable. "There isn't truth in AI models; there isn't judgment," Sternfels explained. "Humans need to impose those parameters"

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The emphasis on liberal arts majors represents a notable departure from traditional consulting recruitment patterns, which historically favored business and analytical backgrounds. McKinsey's career page now openly welcomes candidates who share curiosity about AI and its potential, though it cautions against using the technology to generate interview responses or embellish applications

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Transformation of McKinsey's Business Model Through an Outcomes-Based Approach

The integration of AI agents is driving McKinsey away from its traditional fee-for-service model toward an outcomes-based approach. "We're migrating away from pure advisory work," Sternfels said, explaining that the firm now identifies joint business cases with clients and underwrites outcomes by tying fees to the impact delivered

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. This shift suggests that AI tool proficiency enables consultants to deliver measurable results more efficiently, fundamentally altering the economics of consulting work.

For candidates navigating this new landscape, the message is clear: demonstrating competence with AI tools like Lilli during the graduate recruitment process has become as essential as mastering the traditional case interview. The ability to collaborate effectively with AI, exercise sound judgment, and bring creative thinking to consulting tasks will define the next generation of consultants at one of the world's most prestigious firms.

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