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Home»National»The three Abilities McKinsey’s Chief Desires in Consultants within the A.I. Period
National

The three Abilities McKinsey’s Chief Desires in Consultants within the A.I. Period

VernoNewsBy VernoNewsJanuary 9, 2026No Comments4 Mins Read
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The three Abilities McKinsey’s Chief Desires in Consultants within the A.I. Period
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Onstage at CES 2026, Bob Sternfels (center), Hemant Taneja (proper) and Jason Calacanis (left) unpacked what abilities nonetheless matter as A.I. transforms consulting. CES

Amongst all of the white-collar jobs threatened by A.I., administration consulting—a purely idea-based occupation that depends closely on analytical and problem-solving abilities—sits close to the entrance of displacement fears. As reasoning LLMs and A.I. brokers tackle many junior-level duties sooner and extra precisely, main companies like McKinsey, Accenture and the “Massive 4” are reducing jobs and rethinking how they rent.

That doesn’t essentially imply consulting is disappearing. For school graduates and younger professionals who nonetheless aspire to the sector, it merely means a unique set of abilities and qualities might be required to succeed. On Tuesday (Jan. 6), Bob Sternfels, McKinsey & Firm’s board chair and international managing accomplice—the agency’s high function—shared these standards throughout a chat at CES 2026.

Sternfels highlighted three abilities that can proceed to matter in an A.I.-infused world:

  • Aspire. Setting the proper targets and galvanizing others to imagine in them—primarily management and direction-setting.
  • Judgment. The power to tell apart proper from mistaken and to prioritize successfully. “A.I. fashions don’t know proper or mistaken. People have to set the proper parameters, whether or not based mostly on an organization’s values or societal norms,” Sternfels mentioned.
  • Creativity. A recurring theme amongst leaders throughout industries. A.I. continues to be constructed on “inference fashions,” Sternfels mentioned, and the flexibility to generate new concepts from nothing stays a basically human ability that machines received’t change anytime quickly.

For many years, the consulting world was closely outlined by pedigree. However within the A.I. period, “the place you went to high school issues quite a bit much less,” Sternfels mentioned. In tech, he famous, hiring more and more focuses on indicators of functionality quite than credentials—“not what college you graduated from, however what your GitHub profile seems like. Meaning a wider set of individuals can enter the workforce with completely different pathways.”

Sternfels was joined onstage by Hemant Taneja, CEO of enterprise capital agency Basic Catalyst, and angel investor Jason Calacanis for a stay taping of the favored All-In podcast. On creativity, Taneja added, “Studying the way to ask the proper questions and fixing onerous issues are very completely different mindsets. It’s about curiosity and sort of again to being youngsters.”

McKinsey just lately made headlines for reducing a whole lot of back-office jobs as A.I. automates elements of its operations. Placing a selected quantity on the affect for the primary time, Sternfels mentioned the agency is lowering non-client-facing headcount by 25 % whereas seeing a ten % productiveness acquire from A.I.

A extra telling quantity, although, is that the agency can be rising its client-facing workers by 25 %, Sternfels mentioned, which quantities to an “unprecedented variety of new hires, as a result of the work is altering.”

McKinsey employs about 43,000 individuals globally, based on its web site, with headcount roughly evenly cut up between client-facing and back-office roles. That steadiness is outwardly shifting because the agency staffs its enterprise in another way.

The training hole

Nonetheless, one query that the consulting trade has but to discover a passable reply to is the way to prepare and develop expertise within the A.I. period. And elite universities don’t appear to be making ready college students for it, both.

Entry-level consultants have historically spent vital time studying paperwork and performing repetitive work. Such grunt work was not solely a part of the workflow but additionally the first method junior staff realized and progressed. As these duties develop into simpler to automate, new hires threat dropping alternatives to construct abilities, judgment and character.

“There’s a large hole in resilience,” Sternfels mentioned. “You’re gonna get knocked out. The query is: do you get again up? And the way do you get again up? I believe the tutorial system right now doesn’t essentially construct particular person functionality in resilience.”

McKinsey Chief Is Looking for These 3 Skills in the A.I. Era



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