Research on the Influence Mechanism of AI Translation on Cross-border E-commerce Transactions from the Perspective of Technology Empowerment

Abstract

The rapid development of cross-border e-commerce continues to be hindered by profound information asymmetry and rising transaction costs stemming from language barriers. Traditional translation models struggle to meet its massive, real-time, and fragmented cross-linguistic communication demands. AI translation technology, with deep learning at its core, offers a new technological pathway to overcome this bottleneck. Based on the perspective of technology empowerment, this study aims to systematically elucidate the internal mechanisms through which AI translation influences cross-border e-commerce transactions. By constructing a theoretical analysis framework integrating technology empowerment, information processing, and transaction costs, the research reveals that AI translation primarily functions through three core mechanisms: enhancing transaction information transparency via precise language conversion; building trust by reducing cross-cultural cognitive friction through culturally adaptive conversion; and streamlining operations while fostering the dynamic capabilities of transaction entities through process-embedded integration. Further analysis indicates that this empowerment process is constrained by the technological limitations in deep semantic understanding and exhibits differentiated adaptability across various transaction models. Ultimately, a co-evolutionary trend exists between the iterative improvement of AI translation algorithms and the evolution of cross-border e-commerce transactional relationships. This study provides a systematic theoretical analysis for understanding the role and impact of intelligent language technology in cross-border commercial contexts.