Human judgment in the age of AI

When answers arrive quickly and fluently, the interval in which a person might ask “what is this actually telling me, and what am I assuming to make it make sense?” gets compressed. Fluency reads as authority.

This is not an argument against the tools. It is an observation about where attention goes when output is abundant: toward generating more, and away from examining the frame the output already assumes.

In organizational work, the difficulty is rarely the technology in isolation. It is that strategy, roles, expectations, and identity are all shifting at once, and people are being asked to make consequential decisions inside stories about their work that no longer describe it.

Leaders often name this as a capability gap. Frequently it is a sensemaking gap: the pace of change has outrun the narrative people were using to understand their part in it.

Narrative Intelligence does not predict which technologies will matter. It offers a way to notice the interpretations a team is operating from, test them against evidence, widen the set of options being considered, and choose deliberately rather than reactively.

That is a modest claim, and an emerging one. It is also, in practice, the difference between a team that keeps relitigating the same argument and one that can name what it does not yet know.