Against the backdrop of global reflation, geopolitical conflicts, and a strengthening US dollar, asset allocation in emerging markets is undergoing profound changes. This article analyzes the structural opportunities in AI infrastructure, commodity exporters, and China's domestic infrastructure, exploring how institutional investors can build resilient portfolios in a high-inflation and high-interest-rate environment.
Based on GlobalData's latest report, this article provides an in-depth analysis of the current state and direction of global energy transition investment. Despite a challenging macroeconomic environment, clean energy investment has shown resilience, though growth is slowing and capital flows are increasingly diverging across different technology pathways. Solar energy continues to dominate, nuclear power is seeing a revival, hydrogen's outlook remains complex, and high interest rates have become a key variable. Looking ahead to 2025-2030, the article emphasizes that grid modernization is a core investment priority.
The explosive growth of artificial intelligence is driving a surge in data center electricity demand, prompting institutional investors to turn their attention to the power infrastructure sector. This article analyzes the long-term allocation value of the AI power theme from the perspectives of global capital flows, investment logic, and risk factors.
Standard Chartered Bank upgraded Asian equities ex-Japan to "overweight", particularly favoring Taiwan, China, and India, believing that AI investment and strong earnings prospects support regional growth.
The 2026 European Electricity Summit focuses on the dual impact of AI on power demand and grid optimization, the lag in industrial electrification, and challenges to energy infrastructure security, revealing structural investment opportunities and risks in the energy transition for institutional investors.
BlackRock Investment Institute points out that structural changes such as artificial intelligence and geopolitical tensions are transforming traditional asset allocation logic, advising investors to embrace AI infrastructure, adjust bond duration, and focus on business models rather than listing locations.
This article is based on Futu NiuNiu’s relevant global equity market information and analyzes the structural logic behind AI-related themes, the Hong Kong tech sector, and institutional capital flows, while also discussing future trends from the perspectives of interest rates, liquidity, and long-term asset allocation.
