Singapore Investors Are Talking to Their Brokerage Apps as AI Assistants Go Mainstream
Source: The Straits Times
Singapore's brokerages spent the past two years bolting AI assistants onto their trading apps, and the numbers suggest investors are actually using them. Tiger Brokers says conversation volumes on its TigerAI tool among Singapore users grew 500 per cent year on year as of June, with monthly active users up...

Singapore's brokerages spent the past two years bolting AI assistants onto their trading apps, and the numbers suggest investors are actually using them. Tiger Brokers says conversation volumes on its TigerAI tool among Singapore users grew 500 per cent year on year as of June, with monthly active users up 65 per cent — a sign that what started as a novelty feature has quietly become part of how a slice of retail investors interact with the market.
The shift spans the biggest platforms operating here. TigerAI answers questions about specific stocks, capital flows and market sentiment, and the firm cites cases where it flagged overheated bullishness or an upcoming earnings report ahead of a trade. Longbridge says close to 30 per cent of its global users have tried Longbridge AI, its agentic assistant that watches for developments relevant to an investor's holdings and drafts an action plan — though it never places a trade without user confirmation. Moomoo, whose AI launched in June 2025, has extended the tool from equities to options, IPOs, bonds and ETFs within a year, using it to translate earnings reports and options chains into plainer language for newer investors.
These agents also plug into external models — several features integrate ChatGPT and Claude, letting investors hold conversations that combine their own portfolio data with wider market context. Over time, the assistants are designed to build a picture of a user's trading style, objectives and risk appetite, which is what separates them from a one-off chatbot query. Longbridge has said it plans to anchor an AI lab in Singapore, partnering local universities and hiring for AI talent roles.
For Singapore's financial hub ambitions, this is a meaningful adoption signal. The authorities have repeatedly pushed for responsible AI use in financial services, and consumers paying for and relying on these tools — rather than treating them as gimmicks — gives brokerages a commercial reason to keep investing. It also raises familiar questions: when an AI flags a risk and an investor acts on it, or when the tool misses something, responsibility still sits with the human.
Why it matters for Singapore: Retail investing here is dense and app-driven — three global platforms are competing directly for Singapore users on AI features, and engagement is deepening from simple questions into research, screening and strategy work. That makes the Republic a live testbed for consumer AI in finance, the kind of demand-side signal that attracts the model builders, talent and product teams Longbridge is already trying to recruit. Expect the next round of brokerage competition to be less about commissions and more about whose AI knows you better.


