Estimating AI productivity gains

This post introduces a novel methodology for estimating AI productivity gains by leveraging Claude's own capabilities to analyze real-world conversations. It details the process of sampling conversations, using Claude to estimate task completion times with and without AI, and extrapolating these findings to assess the impact on labor productivity. The post also includes validation analyses comparing Claude's time estimates against human developers' estimates and actual tracked times for software development tasks, highlighting the accuracy and limitations of this approach.