Insights and frameworks

CFTE and the Asian Development Bank have launched a structured initiative to build digital finance policy capability across Asia and the Pacific, targeting regulators and government officials.

Organisations that treat AI capability as an operational concern, rather than a board-level priority, consistently underinvest, move slowly, and fail to sustain progress.

AI literacy is not a single skill. CFTE's framework defines three levels — awareness, tool proficiency, and system thinking — each with distinct competency markers and learning pathways.

Most senior leaders in finance understand that AI matters. Fewer have developed the mental models needed to make confident decisions about strategy, governance, or capability investment.

Global workforce data points to three structural shifts driven by AI: role augmentation, task displacement, and the emergence of AI-native roles. Financial services institutions are at the centre of all three.

A structured tool for assessing individual AI knowledge and readiness across financial services professionals.

A research report examining how AI is reshaping talent requirements, roles and capability development across financial institutions.

CFTE's foundational whitepaper on AI literacy, defining levels of competency and pathways for development in financial services.

A practical capability lens spanning soft skills, hard skills, industry knowledge, mindset and experience.

A framework for distinguishing innovations that are cheaper, enhancing or genuinely different, helping explain business-model change.

A framework for understanding progression from basic execution to higher-order capability and transformation impact.