This news service's group editor (Tom Burroughes) and contributing editor for WealthBriefingAsia (Paul Cuthbert-Brown) examine how AI’s impact on wealth management is panning out in the APAC region and discuss the main themes so far. They also consider questions for clients and bankers alike about AI.

AI continues to roil financial markets, for example, when China's DeepSeek AI tool was released it slammed US stocks last year, or when US fintech group Block cut roughly 4,000 roles – citing the move to AI-enabled productivity gains – it triggered a cheerful market reaction. 

Investors see margin expansion and operating leverage, not distress, from events such as the Block decision. There are pros and cons. A few days ago, shares of firms such as Charles Schwab and LPL Financial were affected by concerns that AI would hit parts of the wealth value chain. This is a global process. Institutions such as JP Morgan and Goldman Sachs have discussed how generative AI is reshaping internal workflows, from research drafting to compliance documentation. This news service has discussed AI use cases on a number of levels, such as the whole "co-pilot" area, or how it intersects with behavioural finance.

So it may be time to take stock of where the AI journey has taken the industry so far. In this article, we look at matters from an APAC perspective. In Hong Kong and Singapore, references to AI and digitalisation of wealth management are everywhere. Take the Monetary Authority of Singapore, for example. MAS has made clear that AI transformation is central to the future competitiveness of the financial sector. (There appear to be a few differences in how bank clients view AI depending on whether they are in Hong Kong or Singapore, if this survey is to be believed.)

Against that backdrop, a fundamental question emerges for private banking in this region: if AI can construct portfolios, optimise tax exposure, run real-time stress tests across currencies and generate personalised reporting within seconds, what remains for the human advisor? The answer looks different depending on which side of the table one occupies.

As mentioned in this article from the US, the impact of AI is far more significant, it appears, than the “robo-advisors” of more than a decade ago. (The term “robo-advisor” is falling out of use as much as “ESG.”) 

Information access
An important point where clients are concerned is that access to information is no longer scarce. Sophisticated APAC entrepreneurs and family office principals, for example, can obtain institutional-grade analytics through digital platforms. Asset allocation tools, scenario modelling and risk projections are increasingly automated. Transparency is rising and fee scrutiny is intensifying. If the private banker’s role is confined to relaying CIO views or distributing products, the justification for premium advisory pricing weakens. AI is raising expectations. Clients will assume immediate data access, seamless reporting and accurate modelling as standard features rather than differentiators. This also means that to stay relevant, advisors must stress the value that human, in-person guidance can bring. 

This publication’s editor – currently in Zurich – heard this week that the turmoil associated with the Iran vs Israel/US conflict has encouraged clients to directly contact advisors. No amount of AI cleverness can yet, it seems, fill the role of a wealth advisor’s “bedside manner". We see this pattern repeatedly, for example when Credit Suisse went through its “shotgun wedding” with UBS three years ago, and the failure and bailout of Silicon Valley Bank, also in March 2023. People wanted to talk to people.

It appears that what clients continue to need, is not more data but integration. They want technology and human skill to be in sync. It is easy to see why. In APAC, for example, much wealth is entrepreneurial, concentrated and cross-border. A founder in Southeast Asia may hold operating assets locally, investment portfolios in Singapore, family members in Australia and liabilities denominated in US dollars. This is complex, and not easily farmed out to AI. In fact, succession planning, currency risk, regulatory exposure and political developments intersect in ways that no single optimisation model can fully capture. AI can calculate potential outcomes. It cannot reconcile divergent family objectives, assess reputational sensitivities or take responsibility for decisions that reshape a family’s capital structure for decades.

From the client’s vantage point, the private banker must therefore evolve from product intermediary to strategic counsellor. The core value lies in judgement, discretion and the ability to synthesise complex variables into coherent action. It also means that the so-called "soft" side of wealth management – a term covering areas such as family dynamics, governance and values – will be increasingly emphasised as value-added areas if other parts become more automated.

The squeeze
As for bankers, compression is real. Tasks historically handled by junior relationship managers and support teams – preparing reports, collating research, running allocation comparisons and drafting standard communications – are precisely those tasks that generative AI performs efficiently. The middle layer of coordination is thinning. This does not imply the disappearance of the profession, but it does raise the bar for entry and survival. 

This means the value proposition must change. The advisor who relies solely on distribution will find that function increasingly automated. The advisor, however, who masters capital markets, understands cross-border structuring and can interpret AI-generated outputs within a client’s broader strategic context will remain indispensable.

The ability of advisors to keep clients composed – which is where emotional intelligence comes in – takes on added significance in volatile markets. Preventing a client from over-allocating to a fashionable theme or liquidating quality assets at precisely the wrong moment can protect more capital than tactical adjustments. That form of stewardship is relational and trust-based. Technology can inform it, but not replace it.

In Asia, a likely outcome of AI is bifurcation. Automated advisory models will increasingly serve clients whose needs are primarily portfolio-based and transactional. Alongside them, a smaller cadre of highly skilled private bankers will operate closer to the family office model, integrating investments, operating businesses, governance structures and generational planning. Institutions that invest decisively in AI infrastructure will enhance advisor productivity and defend margins. Those that cling to legacy relationship models without technological augmentation may struggle under cost pressure. To a degree, AI is like any other technology that has made certain manual tasks redundant. The question is what new, even yet-to-be-imagined, roles will AI create or inspire?

For clients, AI reduces information asymmetry and gives them more negotiating leverage – and that could put downward pressure on fees. For bankers, it removes routine chores and it makes strategic clarity and accountability more important. In APAC, where wealth structures are frequently intricate and transnational, the enduring role of the private banker is not execution but interpretation. The era when information access alone justified the relationship is ending. The era when integrated judgement and stewardship justify it is beginning.

Some points to consider, questions to answer: 

AI in private banking – what's being automated now?
Across Asia-Pacific wealth management, AI is already being deployed to:
-- Draft and personalise client reports; 
-- Retrieve and summarise internal research instantly; 
-- Run multi-asset scenario analysis across currencies; 
-- Monitor portfolio drift and risk exposures in real time; 
-- Flag compliance anomalies and onboarding gaps; and 
-- Optimise tax-aware portfolio construction. 

Questions APAC clients should ask their private banker
1. How are you using AI to improve my portfolio outcomes, not just your efficiency?
2. Can you integrate my operating business exposure with my investment strategy?
3. How are you modelling geopolitical and currency risk across jurisdictions?
4. What proprietary or differentiated opportunities do you originate directly?
5. How do you ensure behavioural discipline during market stress?
6. If AI can generate similar analytics, what specifically distinguishes your advice?

What will distinguish surviving private bankers?
In an AI-enabled industry, differentiation will increasingly rest on:
-- Cross-border structuring expertise spanning tax, trust and residency regimes; 
-- Capital markets depth across currencies and liquidity cycles; 
-- Ability to integrate operating business risk with personal portfolio strategy; 
-- Behavioural leadership during volatility; 
-- Origination capability in private markets and co-investments; and 
-- Credibility and moral authority with multi-generational families.

If you want to comment, provide feedback and ideas, email the editor at tom.burroughes@wealthbriefing.com