
In this interview, Tan Su Shan discusses leading DBS through a rapidly changing financial landscape by balancing innovation, resilience, and customer trust. She shares insights on diversification across markets, the adoption of AI in banking, and the emerging opportunities in digital assets and tokenization. The conversation highlights risk management, workforce transformation, technology-driven growth, and how banks can remain dependable, human-centered institutions while embracing the next generation of financial innovation.
Tan Su Shan is the CEO of DBS Bank, one of Asia’s leading financial institutions. With extensive experience across wealth management, consumer banking, and institutional banking, she now leads DBS through a period of technological and economic transformation. Under her leadership, the bank is expanding its capabilities in AI, digital assets, and cross-border banking while maintaining a strong focus on customer trust, operational resilience, and long-term sustainable growth.
November 26, 2025

Property is uneven: tier one cities like Shanghai show pockets of recovery; many smaller cities still struggle. Opportunity is in tech deep tech, AI, biotech, small language models, humanoid robots, low-flying drones areas the government supports. Consumer confidence is soft, but new economy sectors are dynamic.

We follow China's stated science and tech priorities and focus on those deep tech sectors. Onshore wealth management is a big opportunity because rates are low and money is leaving property. We opened a wealth centre in Shanghai and may add more, while backing new economy companies and helping them expand globally.

It is complementary. They are onshore; we are more offshore. We do not bank their clients and they do not bank ours. They help us with local SMEs we may not understand; we help their larger clients go global. With limited property exposure and conservative posture, it is a clean, steady bank, and we help build their onshore wealth platform.

We moved from classic to generative and agentic AI. It changes everything: AI can read 'one eye, ten thousand lines.' Process and analytics tasks shift to machines, so some jobs change. Our data scientists now focus more on customer interaction and ideation, designing use cases and testing with the models.

Every big tech shift brings a bubble, fear of job losses, then correction. Roles will change, especially entry-level white collar; you may not need 100 analysts. Governments and business must work together. During COVID we still hired graduates with support so they gained experience even if they later joined competitors.

I use reverse mentors younger colleagues who tell me when I am behind. Watching teenagers shows the future. After seeing games in Korea, we partnered with Garena in Taiwan, offering card rewards redeemable for in-game weapons and gained tens of thousands of users on day one. I learn by observing and asking.

As a trusted intermediary we hold deposits, lend, and help clients invest. When assets move on-chain, we still need to play that role. People forget keys and get scammed. We built strong custody cold, hot, air-gapped and then a digital exchange so clients could on- and off-ramp and transact safely.

Wealth management should not be only for private banking. Whatever we build for the top, we try to bring to the mass market digitally: simple portfolios by risk level and regular 'save, invest, repeat' plans. We also do community education so people understand credit, CPF, and investing and avoid getting hurt.
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