The international trade landscape is in constant flux, and the year 2025 is no exception. According to expert Manoel Gil Da Silva, the forces reshaping the global exchange of goods, services, and technologies are a combination of geopolitical tensions, technological transitions, and the strategic reconfiguration of production chains.
The rivalry between the United States and China, the rise of nearshoring, and the rapid digitalization of logistics and production processes are the key pillars of this transformation.
From Decoupling to “Friendshoring”: A New Order in Supply Chains
The imposition of technological and trade restrictions by the U.S. on China has triggered a significant shift in global business dynamics: friendshoring. This trend involves relocating the production of multinational companies to allied or geographically closer countries, creating new opportunities for regions such as Latin America.
Mexico has become a hub for this new North American trade order, attracting investment and redefining regional production dynamics. However, Da Silva emphasizes that Mexico is not the only beneficiary; countries like Colombia, the Dominican Republic, and even Paraguay are drawing attention from companies seeking more stable and diversified supply chains.
According to the expert, the key to capitalizing on this wave of relocation lies in the implementation of deep logistical, fiscal, and labor reforms, along with the provision of predictability and skilled talent. In a current context of persistent inflation and global maritime transport disruptions, proximity and reliability have become even more valuable for companies aiming to reduce risks and ensure operational continuity.
Technology and Artificial Intelligence: Drivers of Efficiency and Connectivity
Artificial intelligence (AI) is transforming global trade — from logistics automation to inventory optimization and demand trend forecasting. The trade of the future will be intelligent, automated, and significantly faster, demanding that Latin America invest in connectivity, digital training, and cybersecurity to compete effectively.
AI-driven supply chain management enables unprecedented visibility, optimizing routes, reducing delivery times, and lowering costs. Moreover, predictive analytics powered by AI can anticipate demand fluctuations, allowing companies to adjust production and avoid overstocking or stockouts.
For companies aiming to remain relevant in an increasingly dynamic and competitive global market, AI integration is no longer optional — it is essential
