"We know that AI is remaking everything including the world of management and my guest today, McKinsey's global managing partner, has a lot to say about how it is rethinking its business in this era. So McKinsey already views its first AI agents as very much part of its workforce and is rapidly expanding that part of its team, but while AI is really good at linear problem solving, it's not so good at out-of-the-box thinking, which means McKinsey is rethinking its talent needs."
"If you're like me, you probably figured that your majors equipped you well for something like journalism, but maybe not so well for something like management consulting, which is tended to recruit people who studied economics or engineering or business. Yeah, I always thought of consulting and finance as the place where all the most ambitious, highest achievers, most capitalistic students wanted to go and those firms definitely focused on the Ivy League and the big universities."
McKinsey views its first AI agents as part of its workforce and is rapidly expanding those capabilities. AI handles linear problem solving effectively but struggles with out-of-the-box thinking. McKinsey is rethinking talent needs to emphasize creative, interdisciplinary backgrounds alongside traditional economics, engineering, and business hires. The firm marks its 100th anniversary while adapting recruiting and capabilities to the AI era. Consulting and finance historically recruited from elite universities, but evolving demands emphasize diverse skills for non-linear problem solving. AI agents are treated as part of the team, requiring new roles for humans to complement AI strengths.
Read at Harvard Business Review
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