The bank's technology investments underpin AI adoption; CEO outlines next phase of agentic AI.

DBS reported that its AI and data analytics initiatives generated approximately SGD 1 billion in economic value in FY2025, demonstrating the tangible return on the bank's sustained technology investments. The figure, disclosed in the bank's Annual Report 2025, represents a significant acceleration from the SGD 750 million accumulated through mid-2025 and underscores the increasing industrialisation of machine intelligence across one of Asia's largest financial institutions.

AI Value Creation at Scale

DBS deployed over 2,000 AI models across more than 430 use cases during FY2025, up from approximately 1,500 models in production as of mid-2025. These data analytics and AI/ML initiatives generated approximately SGD 1 billion in economic value during the fiscal year, according to the bank's Annual Report 2025. Notably, in June 2025, DBS had projected that the economic value from AI could exceed SGD 1 billion for the full year, following an accumulated SGD 750 million since the bank began focusing on AI deployment at scale.

The bank's technology expenditure exceeded SGD 1 billion in 2025, reflecting sustained investment in digital infrastructure, data platforms, and AI capabilities. Total expenses for the group rose 4% to SGD 9.25 billion, led by higher staff costs, though automation and generative AI adoption supported productivity and contained resourcing needs. DBS's cost-income ratio remained unchanged at 40%.

Economic value (SGD billion) (SGD billion)Source: Orionmano Industries

CEO Tan Su Shan, in her annual report statement, attributed the acceleration to the bank's early and sustained investments in data and technology, which have established a robust foundation for industrialising AI across hundreds of meaningful use cases. "This positions us to harness the game-changing potential of generative AI and agentic AI," she stated, as reported by Yahoo Finance.

Operational and Customer Impact

The economic value generated from AI deployment is traceable to measurable productivity gains and enhanced customer outcomes across the bank's operations. Within DBS's technology teams, generative AI now automates tasks such as test-case generation and user-story documentation. Work that previously required months can now be completed in weeks, with greater end-to-end automation strengthening operational resilience.

Customer-facing AI applications have also demonstrated tangible results. DBS Joy, a generative AI-enabled chatbot launched in July 2025 for corporate banking clients, has been used by over 20,000 corporate and SME customers. The deployment helped lift customer satisfaction scores by 23%, according to the bank. In total, DBS deployed more than 2,000 AI models across over 430 use cases spanning software development, customer support, operational efficiency, and risk analysis.

Internal adoption of AI tools has been broadened significantly. DBS-GPT, the bank's internal personal AI assistant, is now accessible to all employees in the bank's core markets, providing role-based access to over four million DBS policies and content items. This has led to faster problem-solving, reduced time spent on policy lookups, and more informed decision-making across the workforce. Specialised vertical AI solutions further empower teams to deliver personalised, high-quality customer interactions at scale.

The bank's strategy of embedding AI at scale, as described in its annual report, involves accelerating deployment of both horizontal and vertical generative AI use cases to create improved customer outcomes while maintaining cost discipline.

Recognition and Strategic Direction

The scale and impact of DBS's AI initiatives have attracted external recognition. In October 2025, Global Finance named DBS the World's Best AI Bank in the inaugural Global Finance AI In Finance Awards. Joseph Giarraputo, Founder & Editorial Director of Global Finance, stated that DBS "stands out as the leading bank in AI adoption due to its early and extensive deployment of AI models, strong experimentation culture, data-driven workforce, and robust execution capabilities." The magazine specifically cited the bank's transparent measurement of AI value in annual reports, the PURE framework guiding ethical AI development, and comprehensive reskilling and upskilling programmes for employees.

DBS also secured three global wins in the Digital Bank Awards 2025, including Best Corporate/Institutional Digital Bank in the World for the second consecutive year, alongside sub-category awards for Best Digital Payments Strategy and Best Open Banking APIs.

CEO Tan Su Shan highlighted that the next stage of the bank's AI strategy will involve systems capable of operating more independently. "With agentic AI gaining prominence, we foresee a transition from AI as a copilot to AI operating on autopilot as we integrate agents with autonomous capabilities into workflows to unlock new possibilities for our people," she stated. "Governance remains paramount and our robust Responsible AI framework provides a firm foundation in understanding how best to deploy AI agents safely."

To prepare for this transition, DBS continues investing in upskilling and reskilling programmes to help employees adapt to roles augmented by machine intelligence. The bank's approach reflects an industry-wide recognition that workforce transformation must accompany technological deployment, particularly as agentic AI systems begin operating with greater autonomy in functions ranging from compliance to customer service.

As DBS scales agentic AI and deepens its data infrastructure, the economic value from AI is expected to grow further, with implications for competing banks and the broader Asian fintech landscape.