Singapore Eyes Leadership as Trusted AI Finance Hub
According to a report by Singapore's The Straits Times, Deputy Prime Minister Gan Kim Yong has called on Singapore to strengthen its position not only as a leading financial centre, but also as a trusted hub for artificial intelligence in finance.
Speaking at the launch of DBS Bank’s new study The Trusted AI Financial Hub, Deputy Prime Minister Gan Kim Yong argued that the future competitiveness of financial centres will increasingly depend on their ability to deploy AI at scale while maintaining trust, security and strong governance standards.
«The leading financial centres of the future will not only be those with deep markets, strong institutions and good infrastructure,» Gan said. «They will also be judged by whether they can embrace and harness AI responsibly.»
Strong Foundations, but Talent Remains Key
According to the DBS study, Singapore ranks among the world's most AI-ready financial hubs. The city-state achieved the highest score in the trust category, reflecting years of investment in digital infrastructure, governance frameworks and coordinated industry adoption. However, the report also highlighted a relative weakness in AI talent compared with global innovation centres such as New York and San Francisco.
DBS Group Research's lead thematic researcher, Vishal Kapoor, said Singapore's next challenge will be expanding its talent pipeline, particularly in specialised AI research, fintech innovation and collaboration between academia and industry.
Workforce Transformation Underway
The government intends to strengthen AI literacy across the workforce and support the development of sector-specific expertise. Gan outlined plans to work with industry on career pathways in areas including AI implementation, model validation, data governance, cyber risk management and financial technology.
At the same time, authorities are preparing for labour market disruption caused by AI. Measures will include reskilling initiatives, job-matching programmes and support for workers transitioning into emerging professions.
Gan also stressed that employers must view workforce training as a strategic investment rather than a cost. Companies that fail to continuously upgrade employee skills risk losing competitiveness as technological change accelerates.
Beyond Experimentation
For Singapore's financial sector, the next phase of AI adoption will require moving beyond pilot projects and isolated use cases. Gan noted that AI can deliver its full value only when embedded directly into workflows, risk management systems and operating models. Financial institutions will need to modernise legacy technology, improve data quality and address organisational challenges associated with implementation.
While Singapore may not be able to match the spending power of larger economies or build the world's largest AI models, Gan believes the country can differentiate itself as a testing ground for practical financial AI applications. «We can be the place where AI solutions are developed, tested and deployed against real-world financial use cases,» he said.
Related Coverage
The debate over how financial institutions can adopt artificial intelligence responsibly while preserving trust and regulatory confidence is becoming increasingly important across Asia's wealth-management industry. Finews Asia recently examined this trend in greater depth in its coverage of the region's evolving AI landscape and digital transformation efforts.
