McKinsey's new AI leadership playbook: flatten teams and move faster

McKinsey's new AI leadership playbook: flatten teams and move faster

As the consulting industry braces for a transformative shift, the integration of artificial intelligence is prompting firms to rethink their management structures. With AI becoming a key player in streamlining workflows, experts believe that companies can significantly reduce management layers, enabling leaders to oversee larger teams more effectively. In a recent episode of "The McKinsey Podcast," Alexis Krivkovich, a senior partner at McKinsey & Company, expressed optimism about AI's potential to help organizations flatten their hierarchies. She noted that this technology can enhance a leader's ability to manage a broader scope of operations, ultimately leading to quicker decision-making processes. Historically, businesses have added extra layers to their management structures, often placing one or even two layers between the CEO and frontline employees. This added complexity not only incurs higher costs but also hinders swift decision-making. Krivkovich emphasized that AI can facilitate smoother decision-making and enhance connectivity within teams. The impact of AI on organizational structures is expected to differ across various industries. In sectors like life sciences, the use of AI agents could significantly boost innovation. Additionally, these agents can automate tasks in departments such as human resources, finance, and legal, thereby enabling a strategic reallocation of resources. This phenomenon has been referred to as "The Great Flattening," reflecting the trend towards more horizontal organizational charts. Eno Reyes, co-founder and CTO of Factory, highlighted that companies are likely to see a reduction in vertical layers as they adopt AI technologies. Similarly, at IBM, where 150,000 human consultants work alongside newly introduced digital workers, there is a growing expectation that management structures will evolve. Senior Vice President Mohamed Ali noted that managing AI will require a different approach than traditional human management, calling for new systems and guardrails to oversee these digital entities.

Sources : Business Insider

Published On : Apr 03, 2026, 09:20

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