Product Innovation in a Shifting Market: Edwin Leong on AI, Fixed Income, and Income Strategies (2026)

In the dynamic landscape of asset management, where client demands are in a constant state of flux, the role of asset managers is evolving. No longer confined to the traditional boundaries of fund manufacturing and distribution, asset managers are now at the forefront of innovation, leveraging emerging technologies like artificial intelligence (AI) to enhance their decision-making processes. At the Malaysia Wealth Management Forum 2026, an insightful panel discussion chaired by Alex Ng, Managing Director and Head of Intermediary, Asia Client Group at Janus Henderson Investors, delved into the evolving strategies of asset managers. Edwin Leong, Head of Product Innovation and Research at RHB Asset Management, offered a unique perspective on the shifting market dynamics and the innovative approaches being adopted by asset managers to meet client demands.

Following the Flows

Leong provided a concise snapshot of the current market trends, highlighting the dominance of income-oriented strategies and the return of equity exposure. The demand for structured income, where yield is generated through options-based strategies, reflects a broader shift in client expectations. Investors are seeking predictability and transparency in their income generation, and strategies that can demonstrate a repeatable mechanism are attracting significant interest. This trend is not isolated; it is mirrored by the return of flows into products with full equity exposure, particularly in technology, gold equity, and broad Asia ex-Japan equity.

The two trends are not contradictory but rather complementary. Clients are increasingly aware of the opportunity cost embedded in pure income positioning and are seeking a balance between stable cash generation and participation in equity upside. This dynamic underscores the importance of asset managers in constructing portfolios that meet the diverse needs of their clients.

The Fixed Income Constraint

Ng steered the conversation towards fixed income, noting the dominance of high-quality onshore strategies in the Malaysian market. Leong confirmed that Malaysia's fixed income landscape is 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.

The implication for product designers is clear: offshore fixed income strategies must offer a yield premium wide enough to absorb hedging costs and still deliver a meaningful pickup over local alternatives. This challenge underscores the need for asset managers to innovate while maintaining a deep understanding of the local market dynamics.

AI as an Allocation Tool

Leong's most forward-looking contribution concerned RHB Asset Management's adoption of AI as a tool for asset allocation. While the firm remains rooted in traditional, fundamental stock-picking, it has embarked on a new initiative that uses AI in a more operational capacity. The AI model generates allocation recommendations across asset classes, which are then executed by portfolio managers. The key value proposition is the removal of emotional bias from the allocation decision, enhancing the firm's ability to make data-driven decisions.

RHB's approach offers a useful case study for the Malaysian market, where many asset managers are still in the early stages of AI adoption. By focusing on a single decision point where emotional bias is a known risk, RHB has generated measurable benefits without requiring a wholesale transformation of its investment philosophy. This 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.

Bridging Manufacturing and Distribution

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.

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. This approach is crucial in a market where client demands are in a constant state of flux, and asset managers must remain agile and responsive to changing trends.

Product Innovation in a Shifting Market: Edwin Leong on AI, Fixed Income, and Income Strategies (2026)

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