China's Export Growth Slows but AI Demand Provides Support — Reshaping Trade Patterns from a Global Macro Perspective

Structural Differentiation Amid Global Trade Slowdown

China’s export growth in June is expected to edge down slightly from May’s 19.4% to 18.2%. Although exports have remained robust for several months, this slowdown signal merits attention. Global trade is caught in a double squeeze of cyclical adjustment and structural reshaping: on one hand, rising energy costs triggered by the Iran conflict erode overseas consumers’ purchasing power; on the other, the prospect of US tariff hikes is prompting retailers to front-load inventories, creating a short-term pulse effect. Yet amid this volatility, a structural bright spot is growing increasingly prominent—demand related to artificial intelligence (AI) is becoming a “stabilizer” for Chinese exports.

AI-Driven Investment: A New Anchor for China’s Manufacturing

The global AI investment boom provides a crucial buffer for China’s $20 trillion economy. Unlike the past growth model driven by real estate and infrastructure, current export growth is mainly propelled by high-tech products—especially semiconductors, servers, and AI-related equipment. South Korea’s export data (a leading indicator for Chinese imports) shows a surge in semiconductor and component purchases, confirming the dominant role of technological upgrading in China’s import growth. June imports are expected to grow 24%, down from May’s 27.4% but still elevated, with a structure more tilted toward capital goods than consumer goods. This indicates that China is transforming from a “world factory” into a “global AI supply chain hub,” a shift that will profoundly shape trade patterns over the next five to ten years.

Price Competition and Profit Squeeze: Volume Up, Quality Concerns

Although export volumes continue to expand, factory-gate prices have been falling steadily, reflecting companies sacrificing profits to win orders—especially from overseas customers who have become more price-sensitive due to high energy costs. This “volume-for-price” model sustains export growth in the short term, but may weaken firms’ investment capacity and the impetus for industrial chain upgrading over the long run. Against this backdrop, the central bank faces a dilemma in monetary policy: it must avoid excessive renminbi appreciation that hurts export competitiveness, while also preventing excessive easing from worsening overcapacity. The People’s Bank of China has recently maintained cautious operations, emphasizing structural tools to support the tech manufacturing sector—a stance that aligns with the long-term evolution of the trade landscape.

Trade Front-Loading Under Geopolitical Gaming

US retailers are placing orders 4 to 6 weeks ahead of schedule to circumvent future tariffs, a move that directly boosted June exports. However, such front-loading is unsustainable: once inventories are replenished, exports in subsequent months could face a “cliff-like” drop. More critically, Trump’s May visit to Beijing failed to yield a substantive breakthrough, leaving the risk of Sino-US trade frictions hanging over the market. From a broader perspective, global supply chains are accelerating “de-risking”—not only between China and the US, but also due to shipping risks from Middle East conflicts. Chinese exporters are hedging against these geopolitical risks by diversifying markets (e.g., Southeast Asia, Latin America) and raising the technological content of their products.

Regional and Institutional Views Diverging: Where Is the Consensus?## Divergent Views Among Institutions and Regions: Where Is Consensus?

The forecasts for June export growth diverge significantly: BNP Paribas and Mizuho expect as high as 20%, while domestic Chinese institutions such as Industrial Securities and Shanghai Securities only give 12%. This divergence reflects different judgments on the resilience of global demand—optimists see AI and inventory restocking, while pessimists worry about the spillover effects of the real estate downturn and weak domestic demand. In fact, the two views are not contradictory: structural highlights in exports (AI, high-tech) coexist with cyclical drags (real estate, consumption), and the overall economy is showing a "K-shaped" divergence.

Long-Term Perspective: Reshaping Trade from Scale to Value

China's exports are no longer just about volume, but also about quality. The growth of AI-related exports not only increases added value but also enhances China's voice in global technology standards. However, the wave of deglobalization—including industrial reshoring in Western countries, the Carbon Border Adjustment Mechanism (CBAM), and technology controls—is forcing China to reposition its trade strategy. In the future, China may focus more on industrial chain integration within the framework of the Regional Comprehensive Economic Partnership (RCEP), while capturing global markets through the "New Three" (electric vehicles, lithium batteries, photovoltaics) and AI hardware exports.

Conclusion: Structural Support Coexists with Cyclical Risks

The June export data reveals the complex picture of current Chinese trade: AI demand provides valuable structural support, but geopolitics, price competition, and weak domestic demand remain cyclical risks. Global central banks are closely watching this data—it is not only a key indicator for judging the momentum of China's economic growth but also an important window for assessing global inflationary pressures and supply chain resilience. In the long run, China's export competitiveness will shift from low-cost labor to technological integration capabilities. This transformation will reshape the global trade landscape and also provide investors with core clues to understand the economic logic of the next decade.