Young Singapore Investors Want AI to Help — Not Decide — Their Investments
Source: Singapore Business Review
Singapore's fintech story keeps circling back to the same question: as AI gets better at markets, how much of the decision-making are people actually willing to hand over? A new survey of younger investors suggests the answer, for now, is a firm "not the whole job." Most are happy to use AI as a
Singapore's fintech story keeps circling back to the same question: as AI gets better at markets, how much of the decision-making are people actually willing to hand over? A new survey of younger investors suggests the answer, for now, is a firm "not the whole job." Most are happy to use AI as a co-pilot, but they want the final call — and the accountability — to stay human.
Trust Bank and Grapevine Consulting polled Singapore residents aged 18 to 40 and found that 78% prefer investing models that keep a human in the loop. Nearly half (49%) favour hybrid guided automation, where investors set goals and approve major choices while AI executes the transactions; another 29% use AI purely for research and place trades themselves. Fully automated investing draws just 15%, and a further 7% want no AI at all. Even so, openness to AI is broad at 93%, and AI chatbots have already become the third most-used investing tool, cited by 26% of active investors.
The numbers sit alongside earlier findings that paint a nuanced picture of Singapore's retail investors — among the world's heaviest AI users for research, yet consistently reluctant to let algorithms make the final decision. That gap between "consume AI for information" and "delegate the decision" has shown up across age groups in HSBC's wealth data too, and it is shaping how banks design their advisory tools. For digital banks like Trust, the product implication is direct: build automation users can supervise, not replace.
For the broader ecosystem, this is a useful temperature check on Singapore's AI adoption curve. It suggests demand is not for autonomy but for assisted capability — tools that compress research and execution while leaving judgment, risk appetite, and oversight with the investor. That is a steadier, if slower, foundation for adoption than full automation, and it gives a clearer steer to startups building wealth-tech: the winning interface is the one that explains itself and asks before it acts.
Why it matters for Singapore: Singapore's ambition to be a regional AI and wealth hub depends on people actually trusting these systems with money. This survey indicates trust is building in exactly the right direction — high openness, deliberate control. The practical signal for local banks, robo-advisors, and fintechs is that transparent, human-in-the-loop products will resonate far better than black-box autonomy, and that Singapore's famously literate investors are ready to use AI so long as they keep holding the wheel.
