Path Analysis of Digital Economy and Reconstruction of International Trade Rules Driven by Artificial Intelligence

Abstract

With the accelerated digital transformation of global economic trade, the deep integration of the digital economy and traditional trade have emerged. As a core technology, Homo sapiens artificial intelligence (AI) has begun to permeate the fields of international trade and the digital economy extensively. While it enhances trade efficiency and fosters innovation in related models, it also introduces new challenges regarding the adaptation of economic and trade rule systems. Against this backdrop, this paper systematically examines theoretical logic, practical evolution, and future trends of the reconstruction of digital economy and international trade rules. First, it analyzes the mechanisms by which AI reshapes trade cost structures and competitive models, clarifying the inherent logic of rule iteration. Second, through case studies of digital trade rule disparities e.g., in the U.S., Europe, etc. and regional agreement practices, it dissects the evolutionary path of these rules from exploration to formalization. Finally, it proposes pathways for rule reconstruction, including multilateral coordination, regional cooperation, and platform participation, providing references for related research and practice.