Job applicants should focus on these core skills.
Where you went to college may soon matter far less than it once did. Bob Sternfels, global managing partner at McKinsey & Company, argues that AI is fundamentally reshaping how companies evaluate talent. Speaking recently at the Consumer Electronics Show in Las Vegas, Sternfels said employers should prioritize real-world experience over traditionally prized credentials like alma maters.
Instead of fixating on where candidates went to school, Sternfels suggested companies look at tangible proof of skills, such as a developer’s GitHub portfolio. “Let’s actually get to the content,” he said, “and could that actually start meaning that a wider set of people can enter the workforce with different pathways?” This, in turn, might open doors for people who previously might have been overlooked.
Sternfels urges companies to focus on three core skills in applicants:
- Aspiration
- Judgment
- Creativity
These traits, he argues, are “uniquely human capabilities” that cannot be replicated by AI. To illustrate this point, he used space exploration, noting that the desire to go to places like Mars or the moon is a purely human aspiration.
Humans have the ability to think beyond existing patterns and imagine entirely new approaches and goals, exercising aspiration, judgment, and creativity in tandem. AI, by contrast, operates as an inference engine, producing “the next most likely step,” as Sternfels put it.
Still, Sternfels acknowledges the importance of incorporating AI into the workplace. Last year alone, McKinsey saved 1.5 million hours by using AI for search and synthesis, tasks Sternfels says AI models excel at. He also emphasized the growing role of AI agents.
McKinsey now has 25,000 of them, which have generated 2.5 million charts in the past six months. By offloading routine, time-consuming work, consultants are able to “move up the stack,” Sternfels said, and address “more complicated problems.”
Sternfels embraces the efficiency gains AI has brought to McKinsey, but he is clear about its limits. While machines can accelerate research and synthesis, they cannot generate ambition, exercise judgment, or imagine entirely new possibilities.
As AI becomes embedded across the workplace, Sternfels argues that these distinctly human skills—aspiration, judgment, and creativity—will be what ultimately set candidates apart and enable them to thrive.