What I'm seeing in the organisations doing this well is a shift from "having the answer" to "creating the conditions". Leaders move from observation to participation. They get curious in front of their people instead of certain. They make it safe to say "I don't know yet" without the room going cold. That may sound soft, but in practice it's the harder of the two disciplines.
What does it mean to lead when AI can do most cognitive work?
By Emma Weber - AI Transformation Advisor and Author. Emma Weber has spent 23 years in behaviour change and learning transfer, helping organisations globally navigate the human side of AI transformation. Founder of Being Human in the Age of AI.
All posts AI LeadershipWhat does it mean to lead when AI can do most cognitive work?
It changes what we're paid to do. For a long time, leadership has been quietly rewarded for being the smartest person in the room - the one with the best answer, the cleanest analysis, the tightest plan. If the machines can do that part of the work now (and they can, often very well), then the job underneath the job changes shape.
That may sound soft, but in practice it's the harder of the two disciplines.
This is the heart of what the Being Human in the Age of AI collective is calling reverse consulting. The accountability and the ownership stay with the people doing the work. The leader's job is to keep the conditions for learning honest, the conversation open, and the human bit - the judgement, the why, the values - clearly in the room and clearly theirs to hold.
So when AI does most of the cognitive work, the leadership job actually deepens. And after 23 years of behaviour change work, I'd say it's the kind of leadership we should have been growing into anyway. Now, with AI in the game, it's an imperative.
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