As AI begins to revolutionize industries, one profession that's being put under the microscope is management consulting. Once a bastion of pedigree-driven hiring, firms like McKinsey are now rethinking their approach as AI models increasingly take on junior-level tasks.
Bob Sternfels, McKinsey & Company's global managing partner and board chair, recently highlighted three essential skills for consultants to succeed in an AI-infused world: leadership and direction-setting (aspiring), judgment and prioritization, and creativity. In a talk at CES 2026, Sternfels emphasized that while AI can excel at analysis, it lacks the human touch.
"Solving problems is about being curious, asking the right questions, and learning from failures," said Sternfels. "These are not skills machines will replicate anytime soon."
Leadership and direction-setting, or aspiring, remain crucial in an era where companies need visionaries to guide them through complex decisions and strategy. Judgment, on the other hand, is essential for prioritizing effectively, setting parameters that align with company values or societal norms.
Creativity, meanwhile, remains a uniquely human skill, with AI models still relying on inference models that lack the capacity for original thought. As Sternfels noted, "Learning to ask the right questions and solving hard problems are very different mindsets."
While McKinsey has made significant strides in harnessing AI to automate routine tasks, it's also investing heavily in client-facing staff – a 25% increase is being reported – as work becomes increasingly focused on high-touch services.
However, there remains a pressing question: how will talent be developed and trained in the AI era? Critics argue that elite universities are not adequately preparing students for this new landscape. Entry-level consultants who spend too much time automating routine tasks risk losing opportunities to build essential skills like resilience.
"There's a massive gap in resilience," Sternfels warned. "The question is: do you get back up, and how do you get back up? I think the educational system today doesn't necessarily build individual capability in resilience."
Ultimately, as AI continues to reshape industries, companies must prioritize skills that complement human capabilities – like leadership, judgment, and creativity.
Bob Sternfels, McKinsey & Company's global managing partner and board chair, recently highlighted three essential skills for consultants to succeed in an AI-infused world: leadership and direction-setting (aspiring), judgment and prioritization, and creativity. In a talk at CES 2026, Sternfels emphasized that while AI can excel at analysis, it lacks the human touch.
"Solving problems is about being curious, asking the right questions, and learning from failures," said Sternfels. "These are not skills machines will replicate anytime soon."
Leadership and direction-setting, or aspiring, remain crucial in an era where companies need visionaries to guide them through complex decisions and strategy. Judgment, on the other hand, is essential for prioritizing effectively, setting parameters that align with company values or societal norms.
Creativity, meanwhile, remains a uniquely human skill, with AI models still relying on inference models that lack the capacity for original thought. As Sternfels noted, "Learning to ask the right questions and solving hard problems are very different mindsets."
While McKinsey has made significant strides in harnessing AI to automate routine tasks, it's also investing heavily in client-facing staff – a 25% increase is being reported – as work becomes increasingly focused on high-touch services.
However, there remains a pressing question: how will talent be developed and trained in the AI era? Critics argue that elite universities are not adequately preparing students for this new landscape. Entry-level consultants who spend too much time automating routine tasks risk losing opportunities to build essential skills like resilience.
"There's a massive gap in resilience," Sternfels warned. "The question is: do you get back up, and how do you get back up? I think the educational system today doesn't necessarily build individual capability in resilience."
Ultimately, as AI continues to reshape industries, companies must prioritize skills that complement human capabilities – like leadership, judgment, and creativity.