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On The Seduction Of Being Understood By Something That Can’t Feel The Weight Of What You Are Avoiding

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The Observation

The AI coaching market just crossed $5 billion. Venture capital is thrilled. Your nervous system remains completely unimpressed. I’m still trying to catch my breath.

Every week I watch another breathless announcement: an app that will “understand your leadership style,” an algorithm that “predicts your peak performance window,” a chat bot that will ask you all the right questions at 2am when your human coach is, inconveniently, asleep. For those of you who ask, “Yes, I do sleep.”

I totally get it, kinda. It’s fast, it’s available, it never sighs, and it’s mistakes never require accountability. It never worries over you with empathy and care.

But here’s what none of the press releases mention: AI is exceptionally good at reflecting back what you already believe about yourself. Which is a problem. Because what you already believe about yourself is, in many cases, the thing we’re trying to crack open.

The pattern doesn’t announce itself. It shows up as a reasonable explanation for why this situation is different, why this time isn’t the right time, why the person who pushes back simply doesn’t understand.

The Pattern

Twenty-five years in the room, on the phone or across the screen have taught me one thing with absolute clarity: the most sophisticated executives are also the most fluent deniers at best, liars at worst… inside their heads. Not maliciously or intentionally. The survival architecture (adaptive patterns) they built got them here and that means something. That’s impressive. Of course it sounds coherent when you hear yourself describe it.

An AI processes what you say. A skilled practitioner notices what you don’t. The pause before you answer. The way “everything’s fine” arrives too quickly. The slight reorganization of the story from last session. The body that says something the voice hasn’t gotten to yet.

Pattern work isn’t data retrieval. It’s observation, it’s contact, it’s active engagement. And engagement provides the opportunity for something to change, to shift. It’s change elicited by the engagement and the feedback, not something that optimizes its prompts based on your usage history.

The Question Worth Asking

Before you hand your personal or professional development over to an algorithm, ask yourself one question: “Is this tool helping me see what I can’t see, or is it merely confirming what I already know?” Because there’s a significant difference between a coaching tool and an expensive mirror that reflects the truth, not the distortion. I think it’s worth sitting with.

“The most efficient route to transformation is rarely the most comfortable one. AI is very, very good at comfortable.”