Here's an interesting admission from one of the world's most prestigious consulting firms: they've been hiring wrong. Well, not entirely wrong, but perhaps focused on the wrong things.

When Perfect Isn't Actually Perfect

McKinsey & Company just discovered something fascinating after turning AI loose on 20 years of hiring data. Turns out, candidates with flawless academic records aren't necessarily the ones who become successful partners. Instead, people who've experienced setbacks and bounced back are more likely to reach the top.

"An applicant who has experienced a setback and recovered has a higher probability of making partner," CEO Bob Sternfels explained during an interview on Harvard Business Review's IdeaCast podcast this week.

It's a revealing moment of corporate self-awareness. "It turns out that we've had some bias in our system," Sternfels said. "We've been too focused on whether one has perfect marks instead of whether one is resilient."

The Numbers Behind The Selectivity

To appreciate this shift, consider McKinsey's hiring funnel. The firm receives roughly 1 million résumés annually but hires only about 1% of applicants. That's brutal selectivity, even by elite consulting standards.

This December, McKinsey promoted around 200 employees to partner, half the size of its 2022 class, reported Business Insider. So getting it right matters, both for the firm and for candidates navigating an increasingly competitive landscape.

McKinsey now evaluates problem-solving skills through a game-based assessment called Solve and provides resources to help candidates from diverse backgrounds showcase their abilities. "This helps to ensure candidates from any background — regardless of whether they have exposure to resources like consulting clubs — can demonstrate their distinctiveness in our process," a spokesperson said.

Part Of A Bigger Transformation

McKinsey's hiring evolution reflects broader workplace changes driven by AI. Earlier this month, Randstad CEO Sander van't Noordende noted that millions of young Americans face a shifting job market as AI displaces entry-level office roles, pushing graduates toward skilled trades, retail, hospitality, and STEM careers. He urged workers to focus on retraining and learning new skills.

In December, BlackRock Inc. (BLK) and other major firms transformed their hiring practices, prioritizing AI proficiency, curiosity, and problem-solving alongside interpersonal skills. Candidates without computer science backgrounds increasingly demonstrated AI capabilities to meet these demands.

AI experts, including Geoffrey Hinton, have warned that 2026 could see millions of jobs replaced and highlighted risks from AI's ability to reason and deceive, even as the technology offers benefits in medicine, education, and climate research.

The message seems clear: adaptability matters more than perfection, especially when the rules keep changing.