Inside Singapore Banks' Push for AI: All Three CEOs Agree It Helps — But Won't Replace Humans
Source: The Edge Singapore
Earnings season for Singapore's big three banks is usually about net interest margins and credit costs. This time, artificial intelligence was nearly as prominent on the call as the profit figures — and all three CEOs struck the same note: AI delivers value, but won't replace the human factor.
Earnings season for Singapore's big three banks is usually about net interest margins and credit costs. This time, artificial intelligence was nearly as prominent on the call as the profit figures. DBS, UOB and OCBC all reported growth in their latest results — and all three chief executives spent a striking amount of time explaining how AI fits into their businesses, and just as importantly, where it doesn't.
According to The Edge Singapore's analysis of the earnings briefings, the three CEOs converged on a common theme: AI has delivered real value, but it will not replace the human factor that sits at the core of banking. The other shared note was cost discipline — banks are wary of "using AI for AI's sake", and attention is now shifting to managing the expense of running AI systems as their use scales across the organisation.
The restraint is notable because the numbers being discussed are substantial. DBS has previously disclosed that its AI and data analytics initiatives generated around US$1 billion in value, and the bank's CEO Tan Su Shan has framed AI alongside geopolitical fragmentation as one of two forces reshaping banking globally. OCBC has been pushing genAI-trained wealth advisors and avatar bankers, while UOB continues to weave AI into treasury and compliance workflows. The question is no longer whether AI pays — it's how banks measure that payoff and keep it from ballooning into an uncontrolled cost line.
This measured tone aligns with how Singapore's regulators are approaching the sector. MAS has been pushing banks to govern AI agents with the same rigour as privileged users, and its agentic finance safeguards signal that the next wave of AI in banking — autonomous agents handling payments, credit and customer interactions — will land inside a defined governance framework rather than an open frontier.
Why it matters for Singapore: Singapore's three local banks are among the most AI-intensive financial institutions in Asia, and their earnings calls have become a public referendum on whether AI investment is translating into profit. The consistent "human plus AI, with cost discipline" message from all three CEOs is a useful signal for the wider SG tech ecosystem — it suggests the era of AI pilots and experimentation is giving way to one of ROI measurement, consolidation, and agentic systems that will need MAS-grade governance to scale.
