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Trade in AI-Related Products

Author

Listed:
  • Michael E. Waugh

Abstract

This paper documents facts about international trade in AI-related products. I develop a large language model (LLM) classification tool that maps HS10 codes in U.S. trade data to products used in the construction and operation of AI infrastructure. AI-related products account for 23 percent of U.S. imports in 2025, and imports of these products have grown by 73 percent since 2023. Over the same period, imports of non-AI-related products have grown by only 3 percent, with the divergence between the two categories beginning in early 2024. Mexico is a key market on both the import and export side, and together with Taiwan these two countries account for about half of all U.S. trade in AI-related products. Trade policy has treated these products lightly with product-level exemptions shielding much of AI-related imports from tariffs. Absent the AI boom, a simple accounting exercise suggests that the U.S. goods trade deficit would have been nearly $200 billion smaller in 2025.

Suggested Citation

  • Michael E. Waugh, 2026. "Trade in AI-Related Products," Staff Report 684, Federal Reserve Bank of Minneapolis.
    • Handle: RePEc:fip:fedmsr:103018
    DOI: 10.21034/sr.684
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    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • F13 - International Economics - - Trade - - - Trade Policy; International Trade Organizations

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