Pausing during a live meeting or call to quickly consult AI for a fact, a figure, or a piece of relevant context has become a normal habit for a growing number of professionals. On the surface, this seems like an obvious improvement: better-informed answers, fewer mistakes based on imperfect memory, more accurate real-time input into important conversations. But there's a specific and underexamined cost to this habit that's worth taking seriously: each pause to consult AI, however brief, interrupts the natural flow and momentum of a live conversation, and the cumulative effect of these interruptions can meaningfully change the character and pace of decisions that used to happen confidently and continuously in the moment. ------------- Context ------------- Before AI made real-time information lookup this convenient, live conversations, meetings, and calls generally proceeded with a certain natural continuity. Participants worked with what they actually knew and remembered in the moment, occasionally acknowledging uncertainty and following up afterward when precision genuinely mattered, but generally maintaining the flow and momentum of the conversation itself as the primary priority during the actual exchange. The ease of real-time AI consultation has introduced a new habit: pausing mid-conversation to quickly verify or look something up, rather than proceeding with reasonable confidence and following up afterward if genuinely necessary. Each individual pause is brief and, considered in isolation, seems like a small, reasonable trade for improved accuracy. But conversations and meetings have a momentum that depends on continuity, and frequent brief interruptions, even short ones, can meaningfully disrupt the natural flow of discussion, decision-making, and the kind of confident, in-the-moment thinking that live conversation is often specifically valuable for producing. ------------- Where This Pattern Becomes a Genuine Cost ------------- A team leader who runs regular strategy discussions with her leadership team noticed this shift directly over the past several months. Meetings that used to move with a certain confident momentum, participants building on each other's ideas in real time, decisions emerging through genuine back-and-forth discussion, had started to feel noticeably more fragmented. Participants, herself included, had developed a habit of pausing periodically to quickly check a figure, verify an assumption, or look up relevant context using AI tools, right there in the meeting.

Happy Monday, everyone. This one was filmed on the way up my mountain. Still a long way from the top, out of breath, nothing rehearsed. I turn 58 this year. Thirty plus years into this work, and somewhere on that trail the same voice still shows up three or four times to tell me I could stop right here and nobody would think less of me. I gave up trying to silence it a long time ago. What I do with it instead is what I get into in the video. Learning AI works the same way. We didn't grow up with this stuff. We're the ones cutting the path for everyone who comes after us. So of course it feels uncomfortable. Of course the doubt creeps in. Of course the old way of working keeps calling you back to it. That isn't a sign you're failing. It's a sign you're climbing. And the only thing that actually gets you up the hill is what I was doing on that trail. One step. Then the next one. Without quitting. Focus of the Week: 👉 Don't Miss Your Mountain So here's what I'm asking this week: name the mountain you keep promising yourself you'll climb someday, and name the one step you can take toward it before Friday. Drop it in the comments 👇 Have a fantastic Monday, Dean

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