This study examines the impact of AI-driven supply chain transformation on ecosystem responsiveness and investigates the roles of data operational capability and inter-organizational process optimization. Using 136 samples from manufacturing and logistics/distribution industries, the research employed SPSS, AMOS, and PROCESS Macro Models 6. The results show that the AI–Web3 investment portfolio enhances data operational capability, which promotes inter-organizational process optimization and ultimately improves ecosystem responsiveness. In addition, data operational capability and inter-organizational process optimization sequentially mediate this relationship. While the moderating effect of decentralized data governance was not significant, its direct effect was significant. This study identifies the value creation mechanism linking digital technology investments to ecosystem responsiveness and suggests that decentralized data governance serves as an enabling infrastructure for data sharing and collaboration rather than a moderating mechanism.