In early October 2026, global economic dynamics exhibited diverse trends. Major economies around the world released key data, including Japan's balance of payments and Business Short-term Economic Survey (BSI), Germany's trade balance, and U.S. wholesale inventory and unemployment claims data. These indicators provide an important basis for the market to assess the current global economic climate. At the same time, the industrial sector is demonstrating a need for transformation; the 30th Taipei Innovative Textile Application Show (TITAS) opened on the 6th of this month, bringing together 410 manufacturers from 12 countries. The event focuses on sustainable circularity and green transformation, indicating that the global supply chain is actively seeking structural upgrades in the face of macroeconomic challenges.

According to the latest report released by the World Bank in early October, the economic outlook for the East Asia and Pacific region has been upgraded, with the 2026 economic 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 strong exports of artificial intelligence (AI)-related products. Among the major economies in the region, Vietnam's economic growth forecast is the most notable, with an upward revision of 1.1 percentage points to an expected 7.4%. However, the World Bank also pointed out that the region's economic growth is highly correlated with the AI boom, and while this dependency brings dividends, it also harbors potential risk factors.

Regarding the sustainability of the AI boom, the ASEAN+3 Macroeconomic Research Office (AMRO) presented a more cautious view in its "2026 Financial Stability Report." The report notes that because East and Southeast Asia are at the core of the global AI supply chain, and because financial markets are increasingly linked to AI-related assets, the region would face a greater shock than other global economies should the AI boom experience a reversal or disorderly correction. Data indicates that risk transmission channels include declining technology product exports, portfolio losses, capital outflows, and refinancing pressures on highly leveraged technology and infrastructure companies.

Although the World Bank has raised its short-term growth forecasts, it has lowered its expectations for 2027 and 2028 to 4.4% and 4.3%, respectively, reflecting concerns about a slowdown in long-term growth momentum.

Such economic risks have had a direct impact on industrial policy in the affected regions. The excessive concentration of the global technology supply chain not only affects the semiconductor and electronic components industries but also indirectly influences the pace of transformation in traditional industries. As shown by trends at the Taipei Innovative Textile Application Show, the global manufacturing sector is currently attempting to diversify the risks of over-reliance on a single technology boom through non-technical competitive advantages such as "sustainable circularity." For export-dependent East Asian economies, how to maintain competitiveness in the AI industry while using industrial diversification to buffer the shocks of fluctuating technology spending has become a policy challenge shared by governments and the business community alike.

Regarding differing perspectives and limitations, market analysts warn that the World Bank's short-term GDP upgrades should not be equated with long-term economic stability. The data growth brought about by the AI boom largely reflects concentrated corporate capital expenditure rather than a balanced expansion of the economic structure. Furthermore, while economic data released by various countries (such as Japan's current account and Germany's trade balance) can reflect current trade conditions, their ability to provide early warnings for an AI bubble is limited. Therefore, investors and policymakers must distinguish between "short-term export dividends" and "long-term structural risks" when interpreting data to avoid being overly optimistic or pessimistic based on a single quarter's performance.

Future observation points include the actual timing of a decline in global technology spending and the measures taken by various governments to address AI supply chain risks. Over the coming months, the market will continue to monitor U.S. unemployment data and changes in wholesale inventories, which will serve as leading indicators for determining whether global end-user demand is weakening. At the same time, the allocation of resources between green transformation and digital transformation, as well as the sensitivity of financial markets to volatility in tech stocks, will be key to determining whether East Asian economies can successfully navigate this transition period. Relevant institutions will continue to monitor capital flows and corporate leverage ratios to assess whether financial stability is further threatened by volatility in the technology industry.