The solve–verify asymmetry

Claude solves faster than any human, and that gap will not close. What will not change is this: Claude cannot verify whether its output is grounded in the specific domain reality at hand. It cannot reframe a poorly formulated problem. It cannot interpret what an accurate output means in a specific human context.

This is the solve–verify asymmetry. The cost of generating a solution approaches zero. The cost of determining whether the solution is correct — for this problem, in this context, with these stakes — remains irreducibly human.

The practical consequence: the most valuable thing a person can do in an AI-assisted workflow is not prompt more cleverly. It is to audit more precisely. To be the person in the room who hears the wrong note before the system ships.