McKinsey Adds AI Tool Proficiency to Job Interview Process

McKinsey has added AI tool proficiency as a graded component of its hiring process. In a pilot running since earlier this year, final-round candidates for Business Analyst positions are required to use the firm's internal AI tool, Lilli, during the interview.

Candidates receive a case study and use Lilli to analyze it. Interviewers evaluate how candidates prompt the tool, assess its output, and incorporate the results into their analysis. McKinsey has described the criteria as curiosity and judgment — the ability to evaluate AI-generated output and apply it to a client's specific requirements.

McKinsey's AI Deployment

McKinsey operates a workforce of 20,000 AI agents internally, according to the firm. Lilli has been integrated into consultant workflows for research, analysis, and client deliverable preparation. The interview component tests whether candidates can function in the environment the firm already operates in.

Fortune reported that McKinsey has simultaneously shifted recruiting focus toward liberal arts majors. The firm's rationale: as AI handles more data analysis and research tasks, the skills most needed from human employees are context, judgment, and communication.

Timeline and Industry Context

The full rollout of the AI interview component is expected in spring or summer 2026. McKinsey is among the first non-technology companies to formally incorporate AI tool usage into its hiring evaluation.

Management consulting firms, financial institutions, and other knowledge-work employers have historically followed McKinsey's hiring practices. The move could signal broader adoption of AI proficiency testing in interviews across industries.

Workforce Implications

The integration of AI tools into consulting workflows raises questions about future headcount. If one consultant using Lilli can produce output that previously required two consultants, firms may grow output without proportionally growing staff. The same dynamic applies to law firms, accounting firms, marketing agencies, and other knowledge-work organizations where AI can handle research, analysis, and first-draft creation.

McKinsey has not publicly addressed whether AI integration is expected to affect overall headcount.

Current State of AI in Hiring

Most current hiring processes do not include AI proficiency evaluation. Interview preparation resources and courses primarily focus on behavioral questions and traditional case frameworks. AI-assisted interview components remain uncommon outside the technology sector.