- DBS Bank CEO, Ms. Tan Su Shan, stated that the bank expects its 2025 revenue to increase by over 1 billion SGD (approximately 768 million USD), compared to 750 million SGD in 2024, thanks to more than 370 AI applications with 1,500 models currently in operation.
- Tan affirmed: “It’s no longer hope. It’s happening, and it will get even better,” emphasizing that AI creates a “snowball effect” in productivity and revenue.
- DBS has been implementing AI for over 10 years, which has made internal data ready for Generative AI and Agentic AI – the type of AI capable of making decisions and acting independently.
- A key focus is the corporate financial services segment, where AI collects and analyzes customer data to personalize solutions, helping teams work faster and more flexibly.
- DBS also launched the AI assistant “DBS Joy” for corporate clients, providing 24/7 support for complex banking requests.
- In contrast to many other corporations, DBS is recording clear profits, while an MIT report in July showed that 95% of 300 AI projects (with $30–40 billion USD invested) have yet to break even.
- JPMorgan Chase also stated that it is breaking even on its $2 billion USD/year investment in AI – indicating that the banking industry is gradually realizing its efficiency.
- DBS’s long-term goal is to become an AI-powered bank, where Generative AI serves as a “trusted financial advisor” for both individual and corporate clients.
- The current system has over 100 AI algorithms analyzing user data to provide suggestions such as shortfall alerts, product recommendations, and spending optimization.
- Tan emphasized that AI investment requires not only capital but also time to retrain personnel; DBS has implemented retraining programs and generative AI-powered coaching tools to support employees.
📌 Southeast Asia’s largest bank, DBS, demonstrates clear economic effectiveness from AI with over 1 billion Singapore dollars in increased revenue in 2025. Thanks to more than 370 AI applications with 1,500 models in operation, AI helps optimize processes, personalize services, and boost productivity, while the bank continues to invest in employee retraining to maintain sustainable growth, aiming for the first “AI-powered bank” model in Southeast Asia.
