Coyle's core political claim: measurement systems are not neutral recording devices but incentive structures — what they measure, they reward; what they cannot measure, they penalize by neglect.
Coyle's most uncomfortable conclusion, implied throughout her measurement work but rarely stated bluntly, is that measurement systems are not neutral recording devices. They are incentive structures. What they measure, they reward. What they cannot measure, they penalize by neglect. A measurement system that counts output without assessing quality does not merely fail to capture quality — it actively discourages quality, because quality requires the kind of investment that the output metric counts as cost rather than value. What you measure shapes what you value. What you cannot measure disappears from the conversation. This is the political claim that gives measurement reform its urgency: the AI transition will be governed by the metrics available to the people governing it, and if those metrics show only the boom, the governance will be designed for a boom.
Counting Governs Managing
In The You On AI Field Guide
The principle operates institutionally, not individually. No economist or policymaker consciously decides to ignore what the metrics cannot show. The omission is structural: