AI Globalization Requires a Three-Tier Approach: Transactions, Operations, and Computing Infrastructure

[Ebrun Original] On September 24, during the "Silk Road E-Commerce Day" launch ceremony and the "Silk Road E-Commerce" resource matching roundtable at the 5th Global Digital Trade Expo, Pan Yong from Guolian Shares discussed the company's exploration of extending from cross-border industrial goods transactions to country-specific services and "AI globalization."

Pan Yong noted that companies' overseas expansion needs have transcended simple cross-border product transactions. Small and medium-sized industrial enterprises seek not only orders but also solutions to political, cultural, commercial, payment, and financial issues in their local operations. In response, Guolian Shares established country headquarters in Pakistan and Kazakhstan, advancing AI applications across three layers: transactions, operations, and computing infrastructure.

This article is based on the roundtable transcript, with minor edits to preserve the original intent.

Below is a summary of Pan Yong's views:

Guolian Shares primarily engages in e-commerce for industrial goods and bulk raw materials, while also providing enterprise digitalization, artificial intelligence, and data services. Our cross-border business initially started with import and export transactions of industrial products.

As we progressed, we found that both partner countries and enterprises themselves had needs beyond product trading. Many Chinese companies aspire to truly go global and establish roots overseas, while local governments also seek to build their own supply chain systems. To address this, we established a Pakistan country headquarters in May and a Kazakhstan country headquarters in August, helping small and medium-sized industrial enterprises overcome localization challenges such as political, cultural, economic, commercial, payment, and financial issues when entering local markets.

Our AI services are currently advancing along three layers. The first layer focuses on facilitating cross-border import and export trade by aggregating overseas orders and distributing them domestically, helping enterprises match demand and improve order efficiency. This function may seem simple, but it directly enhances the efficiency of cross-border transactions.

The second layer extends AI to production and operations. We have invested in an AI-based mineral exploration company to conduct surveys and identification using geological data. Additionally, we have broken down domestic industrial production into over 30 niche scenarios, developing AI applications and vertical models that continuously improve through data. These proven capabilities can also be adapted for overseas market needs.

The third layer involves advancing computing infrastructure construction tailored to specific country contexts. Taking Kazakhstan as an example, the local government aspires to build national computing capabilities. By leveraging connections with Kazakhstan through Khorgos, related efforts can focus on computing power, algorithms, and data.

This is not about directly transferring domestic solutions overseas but about integrating established experiences, pathways, and steps with local needs. In the future, we plan to explore similar computing centers and service capabilities in other countries, helping enterprises and partners address practical challenges in globalization with higher efficiency and lower costs.

This article was first published on the official website of Ebrun.