An automated check tells you one dimension passed. Everyone reads a green result as the work being fine, and that gap widens with every check you add.
The AI you run is priced below cost. If your plan assumes cheap AI forever, the real exposure is the price resetting to what inference actually costs.
One AI product, three published accuracy stories spanning 34 points. Why vendor metrics aren't comparable, what they actually measure, and the three questions that cut through.
AI didn't hollow out consulting, it repriced it. When analysis gets cheap, you stop paying consultants for capacity and start paying for judgment.
AI made execution cheap, so the real cost moved to verifying output you can no longer trust on sight. That trust tax grows with volume, and it is the line item no AI budget includes.
AI made polish free, so 'looks finished' no longer means 'was checked.' For executives, verification just became a design decision, not a step.
AI keeps getting cheaper at execution but still can't decide which problems are worth solving. Why judgment is the scarce skill for leaders, whatever the AI timeline.
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