Taiwan's 16 Banks Build Homegrown AI Model for Finance
Taiwan is building its own large language model for the financial sector to reduce reliance on overseas AI platforms that don't fully capture local regulations and market practices.
Sixteen financial institutions have formed a task force under the Taiwan FinTech Alliance to develop the system. CTBC Financial Holding will lead the project, with the Financial Supervisory Commission overseeing it.
The model will be built on open-source foundations rather than Chinese platforms. Training will use specialized datasets including sector-specific information and regulatory material from the FSC, as well as Taiwan's Sovereign AI database to reflect local language and cultural context.
Why This Matters for Finance Professionals
General-purpose AI models struggle in financial use cases. They often lack proper localization and can't match domestic knowledge requirements-a gap that domestic institutions aim to close.
The project addresses a widening divide between "AI-ready" companies and those falling behind. CTBC Bank chairman James Chen said the first group is recording stronger revenue growth and market valuations.
International banks including JPMorgan Chase and DBS Group are already benefiting from early AI adoption. A locally built model could help Taiwan's institutions compete.
Timeline and Scope
Training begins in May. A prototype is planned for the third quarter, with the completed version expected before year-end. The project budget sits between T$40 million ($1.3 million) and T$70 million.
The first phase focuses on banking. The alliance plans to extend the model to insurance and securities later, with an AI agent for complex financial work and customer service launching in the first quarter of 2027.
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