Singapore’s mass affluent and high-net-worth investors are using artificial intelligence (AI) for finance and investment at a higher rate than their global peers, but most still want a human adviser involved before they act.
A new HSBC study conducted by Ipsos found that 76 per cent of Singapore investors surveyed use AI for finance and investment, compared with a global average of 72 per cent. The findings are based on responses from 609 Singapore investors collected in January and February 2026, as part of a broader survey of 9,993 mass affluent and high-net-worth individuals across ten markets.
Also Read: The AI stack trap: Why more AI tools aren’t translating into more growth
The headline number is less interesting than the behaviour behind it. Singapore investors are not simply outsourcing decisions to chatbots or portfolio tools. They are using AI to research markets, compare ideas and stress-test assumptions, then taking those conclusions to advisers for validation.
Only 8 per cent of Singapore respondents said AI was the single most influential source in their most recent major investment decision, below the global figure of 12 per cent. That suggests a market that has adopted AI quickly but remains cautious about treating it as a final authority.
A hybrid model takes shape
HSBC’s research points to a hybrid advisory model becoming more entrenched in Singapore’s wealth market. Some 69 per cent of Singapore respondents use AI to research and analyse investments, 44 per cent use it for strategy support, and 34 per cent use it to test their own ideas.
Yet 79 per cent still look to professional advisers for reassurance, while 71 per cent value advisers for strategic expertise. More than half of Singapore respondents, or 57 per cent, said they preferred AI and advisers working together, ahead of the global average of 50 per cent.
This is notable because Singapore is one of Asia’s most mature wealth management centres. The city-state had SGD5.4 trillion in assets under management in 2023, approximately US$4 trillion, according to the Monetary Authority of Singapore. A large share of that money is managed on behalf of regional and international clients, making Singapore a test bed for how private banks, wealth platforms and relationship managers adapt to AI-assisted investing.
The generational spread is also significant. AI use in finance among Singapore’s Gen X investors stood at 72 per cent, compared with 65 per cent globally. Among Baby Boomers, the gap was wider: 72 per cent in Singapore versus 59 per cent globally.
That challenges the assumption that AI-led wealth tools are mainly a younger investor phenomenon. In Singapore, older and wealthier clients appear comfortable using AI as part of the discovery process, provided the final judgement remains anchored in professional advice.
Banks are arming advisers, not replacing them
The survey lands as HSBC Singapore accelerates its own adviser-facing AI rollout. The bank launched Wealth Intelligence in Singapore and Hong Kong in September 2025. The platform gives relationship managers access to insights and research drawn from more than 10,000 sources, including HSBC Chief Investment Office material and external data.
In May 2026, HSBC introduced AI Prepare, a tool designed to generate client engagement packs by pulling together a client’s financial overview, investment insights and tailored talking points before meetings. The bank says the aim is to reduce manual preparation time for relationship managers and allow them to focus more on advice.
Also Read: A step-by-step framework to build your AI adoption roadmap for B2C service businesses
HSBC has also widened its AI ambitions through a multi-year partnership with Google Cloud announced on 17 June 2026. Hyper-personalised wealth management support is one of the first three focus areas. The bank expects the partnership to support more than 200 AI use cases across its global operations within two years.
Ashmita Acharya, Head of International Wealth and Premier Banking at HSBC Singapore, framed the shift as a change in expectations rather than a threat to advisers.
“Singapore’s investors are using AI in their financial decision-making with discipline. They are doing more of their own analysis, arriving at conversations better prepared, and expecting more of the professional advisers who help them as a result,” she said.
That is the central tension for banks. AI makes clients more informed, but it also raises the bar for relationship managers. Generic market commentary and templated portfolio reviews become harder to defend when clients can generate their own summaries and comparisons in minutes.
High-net-worth clients are moving faster
Among Singapore high-net-worth investors, defined by HSBC as those with at least US$2 million in investable assets, AI adoption rises to 90 per cent. That compares with 82 per cent globally.
This group also appears more willing to quantify AI’s role in investment outcomes. Singapore’s high-net-worth respondents attributed an average of 40 per cent of their investment returns over the past 12 months to AI influence, above the 31 per cent average across all Singapore respondents. Two-thirds, or 65 per cent, said AI made them feel more in control.
Banks will treat that as both opportunity and warning. Wealthy clients are not waiting for financial institutions to introduce them to AI. Many are already using external tools, research platforms and model-driven analysis. The bank’s challenge is to make its advisory relationship relevant in a world where clients can arrive with their own data-backed conclusions.
Competitive pressure in Southeast Asia
HSBC is not alone. Singapore’s large domestic banks, including DBS, OCBC and UOB, have been investing heavily in data analytics, personalisation and AI-enabled wealth tools. Global private banks such as UBS, Citi, Standard Chartered and Julius Baer are also trying to make relationship managers more productive through AI-assisted research, client segmentation and portfolio monitoring.
At the same time, digital wealth platforms such as Endowus, Syfe and StashAway have normalised lower-cost, technology-led investing for affluent and mass affluent clients in Singapore and parts of Southeast Asia. While these platforms do not compete directly with private banks across all client segments, they have changed expectations around transparency, access and digital experience.
Also Read: The next phase of business: We are moving to AI crews
For Southeast Asia, the implications extend beyond Singapore. The region has a growing affluent class, but wealth advisory remains uneven across markets. Singapore and Hong Kong dominate private banking, while countries such as Indonesia, Thailand, Malaysia and Vietnam continue to deepen their wealth ecosystems. AI could help advisers serve more clients more efficiently, but it also raises regulatory and suitability questions, particularly around explainability, bias and accountability.
Singapore’s regulatory environment gives it an advantage here. MAS has spent years pushing financial institutions to adopt responsible AI practices, including fairness, ethics, accountability and transparency principles. That matters in wealth management, where unsuitable recommendations can carry significant financial consequences.
The HSBC study ultimately shows that AI adoption does not automatically mean adviser displacement. In Singapore, the wealthiest clients are embracing AI, but not surrendering judgement to it. They want faster research, sharper conversations and more personalised advice.
For banks, that means the real competition is not simply between humans and machines. It is between advisers who can use AI to improve the quality of advice, and those who cannot.
The post AI is reshaping Singapore wealth management, but not replacing the adviser appeared first on e27.