These elevated levels of technology exposure in EM equity markets represent an evolution in the role of EM within the global supply chain. When the last period of sustained emerging market performance came to an end (in 2010), the largest EM equities provided investors with exposure to traditional industrials and commodity firms. Today, however, many emerging markets have become world-leading in technology sub-sectors, including semiconductors, payments, and renewable energy.
This shift has allowed industrial production and exports in emerging markets to grow faster than those of developed market peers. We anticipate this continuing.
Taiwan, South Korea, and China are crucial components of the global technology supply chain and should benefit as demand for AI continues to expand, driven by improvements in model performance and widening productivity implications. We anticipate this trend to accelerate in 2026, which should further support AI demand. If this occurs, it could help maintain a robust export market for the semiconductors essential to AI, thereby supporting the earnings outlook for chip producers in South Korea and Taiwan in particular.
Although it can be difficult to identify in aggregate economic data, recent company earnings have begun to report anecdotal evidence of the productivity-enhancing impact of AI. This is evident across a broad range of sectors and includes, for example, the use of AI to reduce bottlenecks in retail supply chains, as well as financial firms employing AI tools to detect fraud and improve customer service applications.
Our analysis also indicates that the positive feedback loop between investment and growth in AI still has further to run. More broadly, we believe that continued capital expenditure in this area has the potential to drive corporate earnings higher worldwide in 2026.