McKinsey adopts AI agents, cuts jobs to reinvent consulting model
NEW YORK, UNITED STATES — Artificial intelligence is pushing McKinsey & Company, one of the world’s most prestigious consulting firms, into a transformation that is reshaping how it delivers value to clients, hires talent, and structures its business.
With AI systems now able to analyze data, synthesize information, and produce sleek presentations in seconds, McKinsey faces a fundamental challenge to the foundation that has kept corporations reliant on its expertise for nearly a century.
“Do I think that this is existential for our profession? Yes, I do,” said Kate Smaje, the senior partner leading the firm’s AI efforts, in an interview with The Wall Street Journal. “But, I think it’s an existential good for us.”
AI agents change the consultant’s role
The firm has implemented around 12,000 AI agents, which now handle tasks like drafting PowerPoint slides, taking notes, and summarizing interviews. Some bots even double-check consultants’ logic and help ensure writing stays true to the firm’s signature, concise style.
McKinsey’s headcount has already dropped from 45,000 in 2023 to 40,000 after layoffs and attrition, partly a course correction after aggressive pandemic hiring, but also a sign of shifting labor needs in the age of AI.
Bob Sternfels, McKinsey’s global managing partner, sees a near future where the firm has “one AI agent for every human it employs.”
Although Sternfels insists McKinsey will “continue to hire aggressively,” the structure of client teams is changing. Engagements that once called for a manager plus 14 consultants may now require just two or three human consultants supplemented by AI and specialist research.
Client expectations shift: Implementation over advice
The changing business landscape means clients now expect more than just strategy presentations; they want hands-on partners who implement solutions.
“The age of arrogance of the management consultant is over now,” said Oliver Wyman CEO Nick Studer.
McKinsey is adapting by shifting about a quarter of its work to outcomes-based arrangements, tying its compensation to clients’ results. Advising on AI and related technology now generates 40% of the firm’s revenue.
Smaje believes that while “a pretty good, average answer” is easily achieved by AI, “the distinctive expertise becomes even more valuable.”
Sternfels adds, “That is something I don’t think will be disrupted by AI.”
Embracing rapid change and human skills
McKinsey is not only seeking quick learners but also those skilled at teamwork, reflecting the changing needs of clients and the workforce.
“Increasingly, you’re going to have to learn over a career at a rate you and I have never seen,” Sternfels said.
The combination of relentless adaptation and human connection, he suggests, may well prove McKinsey’s most enduring asset.
