Episode Details

There is a specific moment that happens in almost every meeting, and if you pay attention you can feel it in your body. Someone is presenting. The room is nodding along. And a question starts forming in the back of your mind — something that doesn't quite add up, a number that seems off, an assumption nobody has said out loud. You glance around the table, and everyone else looks fine with it. So you run the math in about half a second: if I ask this, I might be the one person in here who didn't get it. And you let the question go. You nod along with everybody else.

That half-second is the subject of this episode, because that half-second — the one where you swallow the question — is quietly costing you the thing you actually want. It is one of the clearest, most repeatable places where careers stall, and almost nobody notices it happening.

Answers got cheap.

Start with something that has genuinely changed. For most of a thirty-year career in the corporate world, having the answer was the currency. The person who knew the thing, who had memorized the system, who could tell you off the top of their head why the process worked the way it did — that person had leverage. Knowledge was scarce, and scarcity is value.

That is not the world we are in anymore. Everyone at your company has the same AI tools, the same search, the same instant access to the same answers. The analyst two desks over and the VP three floors up are typing into the same box you are, and it is handing all of them the same competent, confident paragraph it hands you. The raw ability to produce an answer has been flattened. When the answer is a prompt away, being the person who has it stops being special.

This idea crystallized while listening to an episode of Problem Solvers, Jason Feifer's interview show at Entrepreneur. His guest was Naveen Jain — the founder of InfoSpace, Moon Express, and Viome, a man who introduces himself as intensely curious before almost anything else. In their conversation about solving hard problems, Jain said a line worth keeping: you don't have to be the smartest person in the room — you just have to be the one asking the question nobody else is asking. That reframes the whole contest. It stopped being about knowing the most a while ago. Now it is about seeing what everyone else looked right past.

This is a shift I have circled before from different angles. In How to Partner with AI Instead of Being Replaced by It (MAC-124), the argument was that the tool doesn't take your job — it takes the answer-retrieval part of your job and leaves you the part that needs judgment. In AI Is Eroding the Signals Employers Use to Judge Talent (MAC-142), the case was that when everyone's output looks equally polished, the old shortcuts for spotting who is actually good stop working. Put those together and you land somewhere specific: if the answer is now a commodity, the only thing left to set you apart is the quality of what you point the tool at.

Because here is what the model cannot do. AI will answer anything you ask it — brilliantly, instantly, without ever getting tired. What it will not do is tell you that you are asking the wrong question. It has no idea that the problem you handed it is really a symptom of a different p