DBS, Southeast Asia's largest bank, is making a big bet on artificial intelligence — and on Hong Kong's role in connecting China's AI ambitions with the rest of the world. In an interview with The Standard ahead of its Asia Future Forward Conference, CEO Tan Su Shan said the city's financial system can help mainland Chinese companies turn AI breakthroughs into marketable products and reach overseas investors and customers.
The pitch comes as DBS pushes to become what Tan calls an "AI-native" bank — meaning AI is woven into everyday operations rather than used in isolated pilot projects. The bank says its AI, machine learning, and data analytics work generated SG$1 billion (about US$740 million) in "economic value" in 2025, spanning faster internal decisions and more automated processes.
Why Hong Kong?
Hong Kong has long been the gateway for Chinese companies seeking global capital. Its financial system is deep, internationally connected, and familiar to both mainland firms and foreign investors. As China's AI sector grows — despite regulatory efforts to curb hype and prevent a bubble — DBS sees an opportunity to be the bridge that turns research into revenue.
For mainland AI startups and established tech firms, Hong Kong offers access to international funding, listing venues, and a customer base beyond China's borders. For global investors, it provides a regulated, transparent channel to participate in China's AI story without navigating the mainland's capital controls directly.
This isn't just about DBS's own technology. It's about positioning the bank as the financial intermediary for a wave of cross-border AI deals, IPOs, and partnerships. The bank's conference, which brings together business leaders and policymakers, is part of that effort to cement its role.
What "AI-native" means for DBS
Becoming "AI-native" is more than a buzzword. For a bank, it means embedding machine learning into credit decisions, fraud detection, customer service, and risk management. Instead of using AI in a few standalone projects, the technology becomes part of the bank's core infrastructure.
DBS says this approach delivered SG$1 billion in value last year. That figure likely includes cost savings from automation, revenue gains from better-targeted products, and improved risk management that avoids losses. But translating that into sustained profitability is the real test.
"Markets usually don't re-rate a bank on AI storytelling alone," notes one analyst. "What matters is whether automation and better decision tools translate into repeatable earnings — a structurally lower cost base per transaction and steadier risk calls, without offsetting those gains with higher ongoing spending."
That's why DBS's hiring plans are a key signal. The bank, led by consumer banking and wealth head Shee Tse Koon, plans to add 600 frontline advisers and platform engineers by 2028. This is a reminder that "AI-native" still requires people to build, monitor, and govern these systems — and that the transition comes with costs.
What it means for investors
For shareholders, the SG$1 billion figure is a headline, but the proof will be in the bank's traditional financial metrics. Investors will watch whether DBS's cost-to-income ratio improves — a sign that automation is genuinely lowering the cost of doing business — and whether credit losses stay contained, indicating that AI-driven risk models are working.
If those lines improve over the next few years, the market is more likely to treat the AI value as durable and reflect it in valuation measures like price-to-book, which often tracks a bank's sustainable return on equity. If not, the AI push could be seen as just another tech spending spree.
The hiring of 600 people also suggests that DBS is investing heavily in implementation, oversight, and compliance — areas that regulators are scrutinizing as AI becomes more central to banking. Chinese regulators, in particular, have been pushing for patient capital and responsible innovation, and banks using AI must ensure they meet data privacy and model risk standards.
For everyday investors, the takeaway is that DBS is making a long-term bet on AI and on Hong Kong's role in China's tech story. The bank's ability to turn that bet into consistent earnings will determine whether the stock deserves a premium. As with any technology-driven strategy, the risks are real: AI models can fail, costs can balloon, and regulatory scrutiny can intensify.
But if DBS succeeds, it could set a template for how banks across Asia — and the world — integrate AI into their operations while navigating the complex geopolitics of technology. For now, the bank is betting that Hong Kong's unique position as a financial bridge will pay off for both its clients and its shareholders.
