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AI is already being used in trade, but making it work across borders is still a coordination and capacity challenge. The gains depend not just on useful tools, but on digital infrastructure, worker skills, customs readiness and rules that let different systems operate together. The World Trade Organization (WTO) sees potential for AI to support inclusive trade-led growth; it does not say that outcome is guaranteed.
What does “AI and global trade” actually mean?
The phrase covers three related developments that should not be mistaken for one another:
- AI used to conduct trade: tools can support supply-chain visibility, customs clearance, translation, market intelligence, contract enforcement and navigation of regulations.
- Trade in goods that enable AI: semiconductors, servers and telecommunications equipment are part of the growing trade in the hardware behind AI.
- Rules and capabilities for cross-border AI: countries and businesses need ways to handle differences in privacy, cybersecurity, competition and AI governance, as well as gaps in digital infrastructure and skills.
Evidence of growth in AI-related goods is evidence of changing trade flows, not proof that trade rules have caught up or that AI’s benefits are widely shared. Likewise, examples of AI tools in use show that firms and agencies are experimenting and adopting them; they do not establish universal effectiveness.
Where is AI already being used in trade?
The WTO’s World Trade Report 2025: Making trade and AI work together to the benefit of all describes applications across both routine operations and decisions that depend on information from multiple markets. Supply-chain visibility can help businesses track goods and identify disruptions. Translation and market intelligence can help firms interpret information and communicate across languages. AI can also assist with customs clearance, contract enforcement and navigating regulatory requirements.
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These uses address different problems. A tool that helps a company understand a foreign market does not, by itself, satisfy that market’s regulations; a customs application does not remove the need for sound data, accountable decisions or compatible procedures. The practical value depends on the task, the quality and availability of relevant data, and how the tool fits into existing processes.
A joint WTO–International Chamber of Commerce survey conducted in 2025 offers a signal of perceived value among adopters: nearly 90% of firms currently using AI reported tangible benefits in trade-related activities, and 56% said AI enhanced their ability to manage trade risks. These are reports from firms that were already using AI, not a finding about all firms or a controlled measure of AI’s effect.
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Why is cross-border coordination still difficult?
Rules can diverge across markets
Different approaches to privacy, cybersecurity, competition and AI governance can create trade costs. They can also make it harder for systems and processes to interoperate, while raising questions about who is accountable when an AI-supported decision has consequences across borders. The WTO’s 2026 executive summary treats these divergences as a policy challenge, not as evidence that every difference has already become a barrier.
Readiness is uneven
AI depends on digital infrastructure and people with the skills to select, operate and oversee it. Firms and economies with less access to those foundations may struggle to adopt tools or benefit from trade opportunities on the same terms as already-connected businesses. The WTO identifies unequal access as a risk to inclusion, particularly for micro, small and medium-sized enterprises (MSMEs).
Customs adoption requires more than installing a tool
Customs agencies handle sensitive information and decisions that affect the movement of goods. In a 1 June 2026 update, the World Customs Organization (WCO) reported discussion of AI and machine-learning readiness tools, alongside Mauritius’s experience adopting cloud services. The discussion included data sovereignty and resilience. It points to the governance and preparedness work agencies must consider; the WCO update does not report a quantified performance improvement from the cloud adoption or readiness tools.
What do trade figures say about AI’s economic role?
The WTO reported in 2026 that AI-enabling goods accounted for almost half of merchandise-trade growth in 2025, even though they represented one-sixth of total merchandise trade. The category includes goods such as semiconductors, servers and telecommunications equipment. This is a notable finding about the composition of merchandise-trade growth, but it does not measure AI’s economy-wide effect or show how widely the benefits of AI use are distributed.
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The WTO’s 2026 executive summary also presents simulations projecting a 40% increase in global trade by 2040 and an addition of 12–13% to global GDP over a 15-year horizon. These are modeled outcomes, not observed increases or promises. Their realization depends on the conditions around AI adoption, including policies, infrastructure, skills and international cooperation.
In its 20 March 2026 trade outlook commentary, the WTO said AI investment was among the factors shaping the global trade outlook and reported that the outlook for merchandise-trade growth in 2026 was slower than for 2025. That outlook is specific to the publication date and can change as conditions and data change. It should not be read as evidence that AI alone caused the preceding growth.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What would make AI-supported trade more inclusive and reliable?
The central test is not simply whether AI is adopted. It is whether firms and public agencies can use it safely and effectively across different markets, and whether smaller businesses and economies with less digital capacity can participate. The WTO’s framing links the potential for trade-led gains to the following conditions:
- Infrastructure and skills: reliable digital foundations and people able to use, assess and oversee AI applications.
- Policy frameworks: rules that address legitimate concerns while supporting participation in cross-border trade.
- Interoperability and accountability: practical ways to manage differences in governance and determine responsibility for AI-supported decisions.
- Customs readiness: assessment of agency capabilities, with attention to data governance, resilience and sovereignty where relevant.
- Broader access: capacity-building and other support so that adoption is not confined to firms and economies that already have strong digital resources.
These conditions are connected. A business may have a useful AI application but still be unable to apply it across markets if requirements conflict or the necessary data cannot be used. A customs agency may have access to technology but lack the governance, infrastructure or expertise to deploy it appropriately. Coordination is therefore part of the practical work of adoption, rather than a separate issue to address after the tools arrive.
What is changing now?
International institutions are treating AI and trade as a joint policy and implementation question. The WTO’s AI for Trade program organizes work around solutions, capacity building and knowledge, and points to case studies that evolve over time. Separately, the WCO’s 2026 Smart Customs work has put readiness assessment, emerging technologies and a country’s cloud-adoption experience into discussion among customs officials.
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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchThese efforts show that the conversation is moving beyond whether AI might be useful. It now includes how agencies prepare, how firms navigate differences between markets, and how to avoid leaving less-connected participants behind. They do not establish that global rules are harmonized or that customs adoption is widespread.
How should readers interpret claims about AI transforming trade?
- A firm survey reflects the views of firms currently using AI; it is not a result for every company.
- Trade in semiconductors and other AI-enabling goods measures goods flows, not the impact of AI on productivity or inclusion.
- Long-range WTO figures are simulations with assumptions, not guaranteed forecasts or realized effects.
- Readiness discussions and implementation examples identify practical issues, but do not prove that every customs authority has adopted AI or achieved measured gains.
The evidence supports a clear conclusion: AI is already part of trade activity and investment, while its cross-border benefits remain conditional. Whether it becomes a broadly useful trade tool will depend on the ability of firms, customs agencies and governments to build capacity and manage differences without turning them into avoidable barriers.
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