
The World Trade Organization (WTO) recently released its 2025 World Trade Report, which explored the complex and fast-evolving relationship between artificial intelligence (AI) and international trade.
Below are the findings most relevant to the textiles and fashion apparel sector:
First, AI has the potential to boost global trade. However, the impact on different sectors varies. According to the report, AI is expected to significantly boost global trade by 34-37% between 2025 and 2040, with larger increases in digitally deliverable services (around 40% growth), followed by other services (around 30%). In comparison, the AI-driven growth of global trade in the manufacturing sector (22-24%) and the primary input sector (9.5-9.9%) will be much smaller.
Second, AI is helping to reduce trade costs through multiple channels. For example, as the report noted, AI can help reduce trade costs through “optimizing trade logistics, streamlining regulatory compliance and contract enforcement, reducing language barriers, enhancing international communication, and improving search and matching processes between suppliers and buyers.” As another example, the report noted that, “in retail, AI-supported scenario planning has helped firms to diversify suppliers and adjust sourcing calendars to align with changing tariff regimes.” All of these AI applications could be used in apparel sourcing and trade.
In a March 2025 survey conducted by the WTO and the International Chamber of Commerce (ICC) among firms currently using AI, 90 percent reported tangible benefits in trade-related activities, and 56 percent reported that AI enhanced their ability to manage trade risks. The survey also found that “Larger firms primarily use AI for compliance with trade regulations, contract analysis, and trade finance. Smaller firms, in contrast, tend to focus on market intelligence and improving communication.”
Third, AI’s impact on jobs seems to be complicated. For example, the report suggests that AI will have limited impacts on low-skilled apparel manufacturing jobs, but could replace middle-skilled and high-skilled jobs (such as those in apparel wholesaling and retailing). According to the report, “The task substitution from human labor to AI is more pronounced for medium-skilled and high-skilled occupations than for low-skilled ones.”
Meanwhile, the report categorized textiles and apparel manufacturing (ISIC code 13-15) as a “low” AI-intensity sector, and wholesale and retail (ISIC code 45-47) as “medium” AI-intensive. Nonetheless, the report estimates only a modest share of tasks to be replaced by AI—about 3% for low-skilled and 7–9% for medium- and high-skilled workers.
Fourth, the report calls for “deliberate efforts” by policymakers to broaden AI access and ensure the gains from AI will be evenly distributed globally. In other words, without targeted, proactive policymaking, AI could worsen global inequalities rather than reduce them.
For example, the report suggests that AI could act as an equalizer by increasing the productivity of medium- and low-skilled workers in developing economies. Combined with lower trade costs for cross-border services, these improvements could create more opportunities for companies and professionals in developing economies to engage more actively in global markets.
However, the report also warned that “AI may shift comparative advantages in ways that reinforce inequality.” Notably, “AI adoption is not uniform, as it tends to cluster in large, urban, digitally connected firms in high-income economies… AI technology favors capital- and data-intensive production, which could erode the competitiveness of economies that rely on low-skilled and low-cost labor.”
Additionally, the report noted that trade barriers remain an issue for international trade in the AI era. For example, AI-enabling goods are increasingly affected by technical barriers to trade (TBT). Also, AI-intensive services still face significant restrictions on trade as countries have only made modest commitments under the WTO’s General Agreement on Trade in Services (GATS). Furthermore, regulations on cross-border data flows are still largely fragmented. This explains why the WTO could still play a vital role in supporting AI development, from promoting open markets in AI-related goods and services, to supporting AI innovation and diffusion through intellectual property rights protection, and to encouraging greater regulatory consistency on trade-related aspects of AI.
Summary by Sheng Lu































