This article examines how to measure AI's impact on software development delivery speed, arguing that delivery speed differs from productivity and proposing self-comparison as a measurement approach. The author discusses why common metrics like lines of code, pull requests, and story points are unreliable, and explores the challenges of using estimate-to-actual ratios to assess team performance improvements.