27 April 2026
Ryan Davies, CFA Senior Portfolio Manager
Michael P. Evans, CFA Managing Director, Equity Client Portfolio Manager


Semiconductors have been one of the strongest parts of global equity markets so far in 2026, with performance supported by a powerful mix of demand and improving fundamentals. The headlines have focused on artificial intelligence (AI), but the opportunity set is broader than a single theme or a handful of companies. As AI infrastructure expands, it is driving investment not only in high-performance computing chips, but also in the networking and power technologies that keep modern data centres running. At the same time, parts of the industry outside AI are showing early signs of stabilisation and recovery.
Global Multi Asset Diversified Income Strategy (GMADI) update: A balanced approach to market volatility
Global equity markets have recently experienced sharper movements, particularly in areas linked to artificial intelligence (AI). Earnings announcements from AI hardware, semiconductor and large cloud-computing companies have been key sources of volatility. Concerns about potential interest rate hikes have added to uncertainty. The Global Multi Asset Diversified Income (GMADI) Strategy has not been immune to these market movements. However, its income focus, broad diversification and relatively defensive positioning may help limit the effect of sharp changes in technology and growth-related investments.
Global Equity Diversified Income (GEDI) Fund: Staying selective through market volatility
Global equity markets have recently experienced greater volatility. Much of this has been driven by earnings announcements from AI hardware, semiconductor and large cloud-computing companies. Concerns about potential interest rate hikes have also added to investor uncertainty. After a prolonged period of strong performance in AI-related areas, market expectations have become demanding. Even companies reporting solid results have experienced sharp share-price moves when their outlook has only met, rather than exceeded, investor expectations. Against this backdrop, the GEDI Fund remains focused on its core objective: generating income while maintaining diversified exposure to potential capital growth.
Real assets and the infrastructure behind AI
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.
Global Multi Asset Diversified Income Strategy (GMADI) update: A balanced approach to market volatility
Global equity markets have recently experienced sharper movements, particularly in areas linked to artificial intelligence (AI). Earnings announcements from AI hardware, semiconductor and large cloud-computing companies have been key sources of volatility. Concerns about potential interest rate hikes have added to uncertainty. The Global Multi Asset Diversified Income (GMADI) Strategy has not been immune to these market movements. However, its income focus, broad diversification and relatively defensive positioning may help limit the effect of sharp changes in technology and growth-related investments.
Global Equity Diversified Income (GEDI) Fund: Staying selective through market volatility
Global equity markets have recently experienced greater volatility. Much of this has been driven by earnings announcements from AI hardware, semiconductor and large cloud-computing companies. Concerns about potential interest rate hikes have also added to investor uncertainty. After a prolonged period of strong performance in AI-related areas, market expectations have become demanding. Even companies reporting solid results have experienced sharp share-price moves when their outlook has only met, rather than exceeded, investor expectations. Against this backdrop, the GEDI Fund remains focused on its core objective: generating income while maintaining diversified exposure to potential capital growth.
Real assets and the infrastructure behind AI
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.