The Monetary Authority of Singapore has committed S$220 million over three years to a renewed Financial Sector Technology and Innovation Scheme, including a dedicated track connecting financial institutions with vetted AI tools, arriving as AI-driven models already account for the majority of new insurtech funding in Asia Pacific.
FSTI 4.0 is built around four goals, anchoring innovation activity in Singapore, accelerating adoption of frontier technologies, building shared technology infrastructure, and developing FinTech talent, delivered through six tracks. The AI Pathfinder track specifically supports financial institutions in deploying market-ready AI solutions listed on PathFin.ai, a MAS-led initiative connecting institutions with AI providers and peer implementation experience.
Singapore's FinTech sector now counts more than 1,800 firms employing close to 10,000 professionals, with FinTech investment hitting S$2.9 billion in 2025. The scheme's Manpower track aims to support at least 1,000 FinTech internships over three years through a new portal run by the Singapore FinTech Association.
The timing lines up with where insurtech capital is already flowing. Asia-Pacific's insurtech market was estimated at roughly US$20.8 billion in 2025, projected to reach US$52.5 billion by 2030, with AI-related business models accounting for around 61% of global insurtech funding value in early 2025, according to Gallagher Re data.
The scheme is not insurance-specific, and its published materials do not single out the sector, but insurers and reinsurers count as financial institutions eligible across most of its tracks, including the AI Pathfinder and Centre of Excellence tracks, both aimed at scaling AI adoption and anchoring specialised talent in Singapore.
For brokers and insurers operating in or through Singapore, the practical takeaway is access: FSTI 4.0's AI Pathfinder track offers a government-vetted route to market-ready underwriting, pricing or claims AI tools, and the internship pipeline is worth flagging to any team building out AI or data capability locally, at a moment when the underlying technology is already where most new insurtech investment is heading.
