In the dynamic landscape of asset management, where client demands are in constant flux, the traditional roles of asset managers are evolving. No longer confined to the confines of manufacturing funds and awaiting distribution, asset managers are now at the forefront of adapting to shifting market trends and integrating innovative tools like artificial intelligence (AI) into their strategies. This shift is particularly evident in the insights shared by Edwin Leong, Head of Product Innovation and Research at RHB Asset Management, during the Malaysia Wealth Management Forum 2026. His perspective offers a glimpse into the future of asset management, where technology and client needs intertwine to shape the industry's trajectory.
The Shifting Market Dynamics
Leong's insights highlight a critical shift in client preferences. Income-oriented strategies are currently dominating the market, with a strong demand for products that utilize call option premium strategies to deliver structured and repeatable income. This trend reflects a broader shift in client expectations, as investors seek predictability and transparency in their income generation. Beyond income, there is a parallel trend towards products with full equity exposure, particularly in technology, gold equity, and broad Asia ex-Japan strategies. This return to equity reflects a recovery in confidence in listed markets.
Malaysia's Fixed Income Landscape
The conversation then turned to Malaysia's fixed income market, where Leong confirmed that it remains heavily skewed towards local strategies, dominated by institutional and government-linked capital. However, he drew a distinction between the institutional market and the retail and bank distribution channels, where appetite for differentiated fixed income is growing. The critical constraint remains the hedging cost, which makes offshore fixed income strategies less viable for Malaysian investors. Any offshore strategy must clear the hurdle of currency hedging and associated fees before it can claim to offer genuine value over local alternatives.
AI as a Game-Changer
Leong's most forward-looking contribution concerned RHB Asset Management's adoption of AI as a tool for asset allocation. The firm has launched a strategy that uses an AI overlay to determine monthly asset allocation, removing emotional bias from the process. This approach sits at the pragmatic end of the AI spectrum, where RHB has ringfenced a specific function, tactical asset allocation, and applied an AI model to that task alone. The fundamental research capability remains human-led, and the AI overlay operates as a complement rather than a substitute.
The Evolving Relationship with Distribution Partners
Leong's contributions across the panel highlighted the evolving relationship between asset managers and their distribution partners. In a market where actively managed funds are sold rather than bought, the asset manager's role extends beyond product construction into advisory support, market insight, and the ability to articulate clearly why a particular strategy makes sense for a specific client segment. The income trend, the fixed income constraint, and the AI overlay each reflect a different dimension of this challenge. Income strategies must be explainable and transparent. Fixed income products must clear a quantifiable hurdle. And AI-driven tools must build confidence rather than creating anxiety among advisers and clients who remain sceptical of algorithmic decision-making.
Looking Ahead
For RHB Asset Management, the path forward involves maintaining its fundamental research heritage while selectively adopting new tools that respond to demonstrable client demand. Leong's pragmatic approach suggests a firm innovating with discipline, guided by what the market is actually asking for rather than by what the industry finds fashionable to talk about. As the asset management industry continues to evolve, the insights shared by Leong offer a compelling glimpse into the future, where technology and client needs intertwine to shape the industry's trajectory.
