This study examines the influence of perceived changes in productivity in the context of introducing AI Coding Assistants, specifically GitHub Copilot, within two large-scale agile organizations. Using a cross-sectional survey, we measured self-reported changes in productivity using the SPACE framework. Our comparative analysis suggests several perceived benefits of AI Code Assistant adoption, though with a more conservative impact than previously reported. Further, a correlational analysis employing Kendall’s tau and PLSR with 10-fold cross-validation suggests that perceived changes to productivity are moderately associated only with four of the nine features tested, namely job satisfaction, flow, task completion speed, and ability to focus on satisfying work. However, the SPACE framework’s ability to fully capture perceived productivity was further challenged, indicating discrepancies in its dimensions of “Performance” and “Communication and collaboration”.