Abstract: This study examines the influence of learning dynamics within multi-plant electricity firms on their compliance with environmental regulations, focusing specifically on technology adoption. It introduces a theoretical framework that frames technology adoption as a strategic choice impacted by operational uncertainty and access to information. The key hypothesis is that cross-plant experience—defined as the number of peer units within the same organization that have adopted a particular technology—enhances adoption rates by facilitating the learning process through spillovers across plants under conditions of technological uncertainty. The analysis uses data from 1,475 generating units spanning 1998 to 2020 to test this hypothesis, particularly focusing on compliance with the U.S. Ozone Transport Rules, which aim to curb NOx emissions and regional ozone transport. Employing a difference-in-difference approach, the study utilizes geographic and temporal variations in policy implementation, while incorporating experience interaction terms and controlling for persistent factors that might bias the results. The findings indicate that firms with extensive cross-plant experience are more likely to adopt new and uncertain technologies, whereas the adoption of established technologies shows less dependence on cross-plant experience. These results underscore the significant role of learning spillovers in shaping compliance strategies and driving technological innovation amidst uncertainty. The paper concludes by discussing the broader implications for environmental policy, particularly highlighting potential issues such as organizational competency traps and inertia that may affect policy design and its effectiveness.