AI is now a key part of financial services worldwide. Almost all institutions have adopted AI in some form, with only 2% not using it at all. A new study from Finastra, surveying over 1,500 senior leaders across 11 countries, shows that Singapore is at the forefront of this trend. Many local banks are moving beyond experiments and into full-scale AI deployment, embedding it into their daily operations.

Singapore Sets the Pace in AI Adoption

According to the Financial Services State of the Nation 2026 report, nearly two-thirds of Singapore’s financial firms have already put AI into production. Over the past year, 73% have improved or expanded their AI use in payments technology—almost double the global average of 38%. This demonstrates Singapore’s commitment to integrating AI into their core services rather than just testing it out in labs.

Chris Walters, CEO of Finastra, highlights that Singapore’s banks are showing what successful large-scale AI looks like. They are not just running isolated pilot projects but are embedding AI into key operations. This is possible thanks to modern infrastructure, strong data foundations, and disciplined governance. Such a comprehensive approach helps ensure AI delivers real value.

Global Trends in AI Deployment

Across the world, banks are moving from testing to full deployment. About 31% now use AI across multiple functions, while 30% have some AI running in production. Only 8% are still exploring or testing ideas. This shift means AI is no longer just an innovation tool but a vital part of everyday banking operations.

In Singapore, an additional 35% are piloting or researching new AI applications beyond what they currently have in production. This indicates a strong pipeline of innovation that keeps Singapore ahead in AI development. Many other countries are still in early stages, but Singapore’s progress suggests it is quickly becoming a regional leader in AI for finance.

Different markets have different priorities for AI. In Singapore and the US, the main goal is improving compliance and meeting regulations. About 43% of institutions there use AI to better navigate complex rules and ensure operational resilience. Globally, banks also focus on increasing accuracy, reducing errors, boosting employee productivity, and strengthening risk management. For example, Vietnam emphasizes AI to speed up payment and lending processes, while Mexico focuses on enhancing customer experience through personalization.

Cloud Infrastructure Fuels AI Growth

Singapore’s success with AI is closely tied to its cloud infrastructure. Over half of its banks host most or all of their infrastructure in the cloud. Another 30% use hybrid systems, combining on-premises and cloud. This results in about 85% of institutions in Singapore using cloud-based systems—far above many other regions.

This cloud-first approach offers the scalability and resilience needed to support widespread AI deployment. Modern data architectures and flexible compute resources are essential for running AI at scale. Without these, many banks would struggle to embed AI into their core operations and unlock its full potential.

Overall, Singapore’s focus on cloud technology, combined with a strong innovation pipeline, is helping it lead the way in AI adoption within financial services. As more institutions move past pilots and develop enterprise-wide AI strategies, the region is set to become a major hub for financial innovation driven by artificial intelligence.

Inspired by

• https://www.artificialintelligence-news.com/news/financial-services-ai-deployment-singapore/

Sources

• finastra.com
• unsplash.com