4 August 2026
Christopher Walsh, CFA, Senior Portfolio Manager, Multi-Asset Solutions
Paul Kalogirou, Head of Client Portfolio Management, Asia & Global Multi-Asset Solutions


Artificial intelligence (AI) is often positioned as a story of models and applications, but its growth depends heavily on something far more tangible. Real assets such as data centres, power grids, and raw materials form the physical that supports AI development. As structural forces reshape the investment landscape, real assets are emerging as an enabler of the AI buildout.
We believe three major trends are influencing the current investment regime and may affect the outlook for selected real assets:
Among these themes, AI-related infrastructure and energy demand provide an example of where real assets may play a role in the age of intelligence.
The AI stack is sometimes described as a five-layer cake: energy, semiconductors, infrastructure, models, and applications. Real assets intersect with two key layers: energy and infrastructure.

At its core, economic growth can be viewed through the lens of energy use – a principle that helps explain why AI’s expansion is closely linked to the energy required to power it. Meanwhile, the infrastructure layer represents the physical buildout needed to support AI, including data centres, construction, and electrical systems.
Together, these layers form an important foundation supporting the AI ecosystem.
Certain real assets may share traits such as relatively inelastic demand, long lead times for new supply, high barriers to entry, and essential-service characteristics. They can be grouped into four broad categories, which may provide exposure to real-return potential and income generation.
The engine behind AI: Semiconductors are fuelling the next era of technology
Semiconductors belong to one of the most specialised yet globally integrated industry chains. From design, equipment, and materials to manufacturing and commercialisation, the production of a smartphone chip alone spans many countries across continents, creating tremendous opportunities for companies, consumers, and investors. With semiconductors increasingly becoming the backbone of an artificial intelligence (AI) race few are prepared for, understanding this sector is key to unlocking where the next wave of technology competition is heading.
AI innovation: Asia helps build many of the world’s technologies behind it
When electricity first arrived, the world built the necessary infrastructure – power plants, transmission lines – before the real transformation could take hold. A similar process is happening with artificial intelligence (AI). Today's massive investment in chips, data centres, and power grids is laying the foundation for a potential expansion in AI application that could take years to develop. In our view, the discussion is increasingly shifting from whether AI adoption will continue to how the enabling infrastructure is being built. Asia appears to be playing an important role in that development.
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Beyond inflation, we believe several broader themes could provide support for selected real assets:
Demand for data and compute capacity is increasing alongside the growth of AI. McKinsey estimates that global demand for data centre capacity could rise at an annual rate of 19% to 22% from 2023 to 2030, reaching annual demand of 171GW to 219GW by 2030.
Companies involved in the infrastructure layer supporting this growth, including engineering and construction firms, may benefit from increased demand, although the timing and scale of opportunities will vary.
In addition, the International Energy Agency (IEA) expects global electricity demand from data centres to more than double by 2030, with AI an important driver of this increase. It also notes that a range of energy sources will likely be needed, with renewables and natural gas expected to play leading roles in key markets. Similarly, data centres could contribute to copper demand over the coming years.
While volatility is likely to accompany the AI infrastructure buildout, we view the theme as a multi-year opportunity that should be assessed alongside valuation, execution, policy, and commodity-cycle risks. Real assets may offer exposure to inflation-sensitive income streams and participation in selected areas of long-term structural growth.

The engine behind AI: Semiconductors are fuelling the next era of technology
Semiconductors belong to one of the most specialised yet globally integrated industry chains. From design, equipment, and materials to manufacturing and commercialisation, the production of a smartphone chip alone spans many countries across continents, creating tremendous opportunities for companies, consumers, and investors. With semiconductors increasingly becoming the backbone of an artificial intelligence (AI) race few are prepared for, understanding this sector is key to unlocking where the next wave of technology competition is heading.
AI innovation: Asia helps build many of the world’s technologies behind it
When electricity first arrived, the world built the necessary infrastructure – power plants, transmission lines – before the real transformation could take hold. A similar process is happening with artificial intelligence (AI). Today's massive investment in chips, data centres, and power grids is laying the foundation for a potential expansion in AI application that could take years to develop. In our view, the discussion is increasingly shifting from whether AI adoption will continue to how the enabling infrastructure is being built. Asia appears to be playing an important role in that development.
China Fixed Income: From deflation to reflation: what comes next?