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Home Technology AI and Machine Learning

Policy recommendations for AI in Asia-Pacific finance (sector)

by FutureCOO Editors
October 14, 2025
Photo by Anna Shvets: https://www.pexels.com/photo/a-person-holding-a-bank-card-5614107/

Photo by Anna Shvets: https://www.pexels.com/photo/a-person-holding-a-bank-card-5614107/

The Flint Global study, commissioned by Amazon Web Services (AWS), outlines a comprehensive policy vision aimed at accelerating the adoption of artificial intelligence (AI) in the financial services sector across the Asia-Pacific (APAC) region. The report highlights the transformative potential of AI, emphasising its role in enhancing customer experiences, combating fraud, and addressing cyber threats.

AI-enabled personalisation is already reshaping customer interactions within financial services, providing tailored solutions that significantly enhance user satisfaction. The report also notes the emerging potential of agentic AI systems, which can adapt strategies in real-time based on market fluctuations, thereby improving asset management and overall service quality.

Despite the enthusiasm for AI, the report identifies several key barriers hindering its adoption in the financial sector. Limitations in AI skills, varying levels of cloud adoption, and inconsistent regulatory frameworks present significant challenges.

Additionally, obstacles such as barriers to cross-border data flows and uneven access to quality data further complicate the landscape for financial institutions eager to implement AI solutions.

The report presents a holistic policy vision aimed at overcoming these hurdles. Recommendations for policymakers in APAC include promoting innovation through targeted measures, providing best practices for AI adoption, and democratising access to essential technologies and data infrastructure.

“To fully harness the power of AI in financial services, we must create an environment that encourages innovation while ensuring robust risk management,” said an executive at AWS. “By fostering AI literacy and providing clear guidelines, we can empower institutions to leverage AI responsibly and effectively.”

Furthermore, the report calls for the development of an enabling regulatory environment. It suggests adopting a principles-based approach to AI regulations and utilising regulatory sandboxes to facilitate innovation. Establishing a shared responsibility framework for governing AI use within financial services is also essential for building trust and ensuring compliance.

Regional and international regulatory harmonisation is another key recommendation, as it would facilitate smoother cross-border operations and enhance the overall adoption of AI technologies in the APAC financial sector.

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Tags: AI regulationsArtificial IntelligenceAWScustomer interactiondata infrastructure

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