穿越K型分化，中国制造的底层逻辑正在被AI重塑

This article highlights that China’s manufacturing sector is currently undergoing a K-shaped divergence, with three core factors—AI, cross-border trade, and supply chains—reshaping its fundamental logic. Key insights are as follows:

1. Global B2B procurement has entered an AI-driven transformation. Overseas buyers are already using AI agents to screen suppliers, achieving far higher efficiency than manual processes. It is projected that AI-powered procurement will account for 40% of all procurement entry points this year, becoming the mainstream within two to three years, while traditional tactics such as mass product listings and multi-store operations will gradually become obsolete.

2. Cross-border trade has shifted from an optional business to a must-have. With domestic trade growth slowing, foreign trade maintains a 30%-40% compound annual growth rate (CAGR), and cross-border transactions are expected to account for half of total volume within 1-2 years. Emerging markets in Southeast Asia and Africa are the main growth drivers, and the business value of cross-border buyers is 8 times that of domestic buyers, making cross-border trade the largest blue ocean of incremental growth today.

3. Even as AI reshapes efficiency, quality control of products themselves remains an irreplaceable core barrier for manufacturers. Great products are still the foundation of long-term growth.

This article outlines current consumer trends, growth opportunities and strategic directions for brand owners. Key takeaways are as follows:

1. On consumer trends: An increasing number of consumers now prioritize original manufacturers, as well as product ingredients, materials and craftsmanship, rather than being tied to brand logos. Brands need to refocus on products themselves and increase investment in quality control. For example, Anker voluntarily halted production for two months to adjust its circuit design to eliminate faint current noise inaudible to ordinary users—this commitment to quality is the core competitive barrier.

2. On distribution channels: Procurement entry points are shifting to AI, so brands need to build AI-friendly datasets in advance and complete standardization of product parameters and information to seize the growth window of AI-powered procurement.

3. On market opportunities: With domestic trade growth slowing and foreign trade maintaining a 30%-40% CAGR, with emerging markets as the main growth engine, and the business value of cross-border buyers 8 times that of domestic buyers, cross-border trade has become a must-have. Brands need to布局 in advance to capture incremental growth.

4. On supply chains: In the AI era, supply chain competition has evolved into competition over data assets. Brands need to drive standardization of supply chain data to meet the requirements of AI-powered procurement.

This article clarifies future growth opportunities, risk alerts and available platform dividends for sellers. Key insights are as follows:

1. On growth opportunities: Domestic trade currently faces rising traffic costs and slowing growth, while foreign trade maintains a 30%-40% CAGR, and cross-border transactions are expected to account for half of total volume within 1-2 years. Emerging markets including Southeast Asia, Central Asia, Africa and Latin America are the main growth drivers. The average business value of cross-border buyers is 8 times that of ordinary domestic buyers, making cross-border trade the largest blue ocean of incremental growth for China’s manufacturing sector today.

2. On risk alerts: AI-powered procurement is penetrating rapidly, and is projected to account for 40% of all procurement entry points this year, becoming the mainstream scenario within two to three years. Sellers still relying on outdated tactics such as mass listings and multi-store operations will most likely miss this round of growth opportunities.

3. On actionable directions: To enter cross-border trade, sellers need to standardize product information such as parameters and dimensions in advance, and build agile supply chains to capture first-mover advantage for overseas hits. 1688 has already elevated cross-border business to its top strategic priority, offering traffic and ecosystem support, so sellers can leverage platform dividends to expand quickly.

This article points out transformation directions, business opportunities and core insights on digital transformation for manufacturing factories. Key takeaways are as follows:

1. On production and design demand: Consumer demand has shifted—more and more consumers no longer only value brand logos, but instead focus on product materials, craftsmanship and precision, with higher requirements for product quality. Factories that can produce high-precision, high-quality products will gain more market opportunities. For example, factories capable of processing to an accuracy of 0.01 millimeters, or those that proactively adjust production to improve quality, are widely recognized by the market.

2. On business opportunities: Cross-border trade has become a core incremental market for the manufacturing sector, with a 30%-40% CAGR and strong demand from emerging markets. Businesspeople in regions such as Nigeria are even willing to pay to learn how to source from China, and the business value of cross-border buyers is 8 times that of domestic buyers. Factories can connect with overseas demand through platforms like 1688 to achieve higher returns.

3. On digital transformation insights: AI is reshaping procurement entry points. Factories need to complete structured data transformation of production capacity and product craftsmanship in advance to build AI-friendly data assets, and standardize supply chains, to increase their chances of being selected by buyers in the AI era.

This article sorts out the current transformation trends of China’s manufacturing industry, clarifies core market pain points and opportunity directions for service providers. Key insights are as follows:

1. On industry development trends: China’s manufacturing sector is currently in a K-shaped divergence, with AI transformation, cross-border expansion and supply chain restructuring as the three core directions of change. AI is reshaping the entire paradigm of B2B procurement, and AI-powered procurement will become the mainstream within two to three years. Cross-border trade will become the core incremental market for domestic manufacturing enterprises, and the industry as a whole is in a period of structural transformation.

2. On core customer pain points: There are more than 20 million daily procurement requests in the B2B space, and 75% of these demands cannot be effectively met. The core reason is that product and factory data on the supply side is not standardized, so AI cannot accurately identify and leverage the data. Meanwhile, with intensifying domestic competition for traffic, most factories and sellers lack supporting capabilities for cross-border expansion and cannot meet the agility requirements cross-border trade imposes on supply chains.

3. On opportunities for service providers: Service providers can focus on the demand for AI-powered procurement, provide data standardization transformation services for factories and sellers to help them build AI-friendly data assets. They can also offer supporting services including logistics, compliance and local operation to meet cross-border expansion demand, and capture dividends from industry transformation.

This article discloses the latest practices of B2B platforms in response to industry changes, and clarifies the demands and risks platforms need to address. Key takeaways are as follows:

1. On core merchant demand: Currently, all manufacturing and trading enterprises are searching for growth drivers for the next three years, with strong demand for AI transformation tools and access to the cross-border incremental market. Most small and medium-sized merchants lack the capacity to complete data standardization transformation on their own, and need infrastructure and ecosystem support from platforms.

2. On latest platform practices: 1688 has already aligned with industry trends by elevating cross-border business to its top strategic priority. It strengthens cross-border brand positioning within the platform, scales growth through open API partnerships and a partner ecosystem off-platform, and is rebuilding AI-powered product and factory databases to structure and standardize product parameters and factory manufacturing capacity to meet the calling requirements of AI-powered procurement.

3. On risk mitigation: Procurement entry points are undergoing a fundamental shift to AI. If platforms fail to adapt to the new paradigm of AI-powered procurement in time, they will gradually lose users. Platforms also need to build cross-border ecosystems for emerging markets in advance, help merchants address insufficient supply chain agility for cross-border trade, seize the growth window, and avoid user churn risks brought by industry transformation.

This article discloses the latest industry developments in China’s manufacturing sector, and presents many new research-worthy questions and changes in business models. Key insights are as follows:

1. On new industry developments: China’s manufacturing sector has entered a phase of K-shaped divergence, with three core factors—AI, cross-border trade and supply chains—reshaping the fundamental logic of how manufacturers operate. B2B procurement is shifting from the traditional "people searching for goods" paradigm to a new "AI searches AI" paradigm where AI initiates demand and allocates supply, representing a fundamental shift in procurement entry points.

2. On changes in business models and competitive logic: Cross-border trade has become the core growth pole of B2B trade, and leading platforms have already upgraded cross-border business to their top strategic priority. The competitive logic of supply chains has also shifted from traditional competition over scale and product variety to competition over standardization and data assets; data assets have now become the core competitiveness of manufacturing enterprises.

3. On new questions worthy of in-depth research: The speed at which AI is restructuring B2B trade far exceeds expectations: AI-powered procurement will account for 40% of total volume this year and become the mainstream within two to three years, yet 75% of current procurement demand cannot be effectively met, creating prominent structural contradictions. It is also worth noting that in an era where AI solves efficiency problems, the manufacturing-centric commitment to quality control has become an irreplaceable core barrier—this industry feature also deserves in-depth research.