Rising AI capability is lifting China–ASEAN trade—especially exports—and weakening the trade-dampening effect of distance, suggesting digital and AI adoption is reshaping regional supply chains.

Main Finding

The paper finds that higher AI development in China significantly increases China–ASEAN bilateral trade—especially exports—by optimizing supply chains and improving trade facilitation. The export-promoting effect is larger than the import effect, and AI reduces the trade-inhibiting role of geographic distance.

Key Points

• Research question: After controlling for standard gravity variables, does China’s AI development promote China–ASEAN trade, and through which mechanisms?
• Empirical finding summary:
  • AI development has a significant positive effect on total bilateral trade and on China’s exports to ASEAN.
  • The positive effect on exports is stronger than on imports (asymmetric empowerment).
  • The negative effect of geographic distance on trade weakens as AI development increases.
• Proposed mechanisms (theoretical):
  • Transaction-cost reduction: AI lowers search, compliance, and risk costs via intelligent matching, automated document processing, and risk models.
  • Global value‑chain efficiency: AI improves R&D, production, logistics and coordination, enhancing resilience and customization.
  • Inclusive market access: AI tools lower participation thresholds for SMEs (e.g., intelligent marketing, translation, online analytics).
• Empirical mechanisms examined: supply-chain optimization and enhanced trade facilitation (e.g., intelligent warehousing, route optimization, smart customs).
• Policy recommendations offered: invest in digital/AI infrastructure, coordinate cross-border policies (smart customs/Single Window connectivity), cultivate AI talent, and support SMEs in digital adoption.

Data & Methods

• Data: Panel of bilateral observations between China and the ten ASEAN countries for 2020–2024.
• Empirical approach: An extended gravity trade model that adds measures of China’s AI development to standard gravity controls (GDP, distance, etc.).
• Mechanism testing: Tests focus on mediation/interaction channels related to supply-chain efficiency and trade facilitation; asymmetric effects tested by estimating impacts separately for exports vs. imports and by interacting AI with distance.
• Empirical robustness: The paper reports consistent results across specifications (text indicates robustness but does not provide full specification details in the excerpt).

Implications for AI Economics

• The paper provides micro-to-macro evidence that AI—as a general-purpose technology—alters the parameters of the gravity model by lowering effective trade costs and weakening distance frictions; models of international trade should incorporate digital/AI-capital measures as determinants of trade flows.
• Policy relevance:
  • Digital and AI investments are trade-promoting tools, not only productivity enhancers domestically.
  • Regional coordination (e.g., interoperable smart customs, digital trade rules) multiplies AI’s trade benefits.
  • Targeted support for SME digitalization can broaden inclusion in regional trade gains.
• Research implications and next steps:
  • Need for richer measurement of AI (country- and sector-level indices; firm-level adoption) and longer time series to assess dynamics.
  • Address endogeneity: trade could also spur AI adoption; future work should use instruments or quasi-experiments to establish causality.
  • Explore heterogeneous effects across ASEAN members and sectors, and quantify welfare/distributional consequences of AI‑driven trade shifts.