The recent global economic and trade environment presents a complex dynamic equilibrium. According to a report released by the World Bank in early October 2026, economic growth expectations for the East Asia and Pacific region have been revised upward, with the 2026 growth rate projected to reach 4.5%, an increase of 0.3 percentage points from the April forecast. This growth momentum is primarily driven by the strong performance of AI-related exports, with Vietnam's economic growth forecast seeing a significant upward revision of 1.1 percentage points.

Meanwhile, the global textile industry is demonstrating momentum for transformation at the Taipei Innovative Textile Application Show (TITAS). The event brought together 410 manufacturers from 12 countries, including Malaysia, Vietnam, and mainland China, highlighting the deep integration and trend of cross-border cooperation within the regional industrial chain regarding sustainable circularity.

Under the joint observation of several international institutions, the over-concentration of the AI industrial chain has become a potential concern for the regional economy. The "2026 Financial Stability Report" released by the ASEAN+3 Macroeconomic Research Office (AMRO) clearly points out that because Southeast Asia, China, Japan, and South Korea are at the core of the global AI supply chain, and financial markets are increasingly linked to AI-related assets, the region would face chain reactions—such as a decline in tech product exports, capital outflows, and refinancing pressures for highly leveraged companies—should the AI boom undergo a disorderly correction. The World Bank concurs, warning that the region's high dependence on the AI boom makes it extremely vulnerable to fluctuations in global technology spending.

Regarding currency markets and macroeconomic imbalances, the latest research from Capital Economics offers a different perspective. The firm estimates that the RMB is currently undervalued by as much as 25%; if China's gold imports are viewed as financial capital flows rather than trade flows, the degree of undervaluation could potentially widen further. However, Capital Economics emphasizes that a significant revaluation of the RMB is unlikely, with the baseline scenario remaining a continued, modest appreciation over the coming years.

This view differs from some market expectations regarding RMB exchange rate policy. Furthermore, Capital Economics notes that a moderate appreciation alone is unlikely to eliminate China's external imbalances; a significant rise in the RMB is only likely if the U.S. economy slows down significantly, accompanied by substantial interest rate cuts by the Federal Reserve.

These economic dynamics have a direct impact on industries and policy-making in South Asia and East Asia. With the reconfiguration of global supply chains, economies reliant on AI manufacturing are facing the dual challenge of "growth and vulnerability." For relevant manufacturing exporters, how to maintain export competitiveness while guarding against financial shocks caused by a pullback in tech spending has become a core issue for policy-making. Additionally, traditional manufacturing sectors, such as textiles, are seeking new growth engines through cross-border exhibitions and technical exchanges while facing pressure from net-zero carbon emissions and green transformation. This indicates that regional industries are attempting to diversify operational risks through sustainable development in the face of digital transformation risks.

Although there is a consensus on the economic dividends and risks brought by AI, analysts caution against over-interpreting any single indicator. For example, Capital Economics' estimation model for RMB undervaluation relies heavily on assumptions regarding the current account balance and the application of elasticity parameters, and the results are subject to the limitations of the model itself. Similarly, while the warnings regarding East Asia's dependence on AI reflect the high level of supply chain integration, differences in industrial structure, fiscal resilience, and domestic demand markets among various countries will lead to varying degrees of impact. Investors and policymakers should consider the complex interaction between global tech spending cycles and regional financial stability mechanisms when referencing such reports, avoiding the treatment of any single institution's forecast as an inevitable conclusion.

Future observation will focus on the actual flow of global technology spending and the substantive impact of Federal Reserve monetary policy on Asian currency exchange rates. Furthermore, the financial regulatory measures adopted by countries in the East and South Asian regions to address AI supply chain risks, as well as the speed of industrial adjustment under net-zero transition policies, will determine whether the region can effectively mitigate potential economic shocks. The market will continue to monitor export data, capital flow conditions, and subsequent assessments of global external imbalances by the International Monetary Fund (IMF) to clarify the true resilience of the regional economy after the AI boom subsides.