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Artificial intelligence has significant potential to improve trade facilitation across the Asia-Pacific, but its adoption should remain practical, evidence-based, and grounded in strong governance. Generative AI is expected to play an increasingly important role in customs and border management, particularly when connected to authoritative knowledge bases. Practical applications include officer assistants that search laws, rulings, procedures, and risk indicators; trader assistants that guide document preparation; classification copilots that retrieve tariff notes and prior rulings; and risk-analysis assistants that summarize trader history, case files, and open-source intelligence. Looking further ahead, agentic AI may enable suites of AI agents to coordinate routine trade workflows across traders, customs brokers, logistics providers, customs authorities, and other border agencies.
A central conclusion of this report is that AI should not be legally autonomous. In the trade facilitation context, greater autonomy must be earned progressively through validation, limited scope, auditability, and operational evidence. While low-risk administrative tasks may be automated earlier, legally determinative decisions should remain subject to human accountability through a “human-in-the-loop” approach. For most APEC economies, the immediate priority is developing a disciplined adoption pathway built on reliable data, analytics, decision-support, assisted automation, controlled agents, and only then higher levels of
autonomy where legally and operationally justified.