Productivity Metrics

AI 生產力的核心不在產出量，而在回應核心需求的效率。現有實證顯示工具能提升處理速度，但字數指標易扭曲激勵。本文主張從活動導向轉向結果導向，並說明轉型的管理邊界與取捨。

AI productivity is not about producing more. It is about responding to the core need more efficiently. Evidence shows these tools can increase processing speed, but word-count metrics can easily distort incentives. This article argues for shifting from activity-based measurement to outcome-based measurement, while outlining the management boundaries and tradeoffs involved in making that transition.