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Articles

The Next Wave of AI in Asia: Why Banking Leaders Must Act Now

by Alumni Relations Office

Artificial intelligence (AI) is entering a new phase across Asia’s banking sector. What was once experimental is now becoming mainstream. What used to be automation on the edges is now pushing into the core.

But despite growing momentum, most banks are still at the beginning of this journey.

According to IDC, AI spending in the Asia-Pacific is expected to reach US$91 billion by 2027. And a 2024 Money2020 report notes that nearly 80% of Asian companies have already initiated AI efforts.

For banks in Asia, the window to act is now. From my work with financial institutions and transformation leaders, here are three urgent shifts banking executives must lead:

 

1.Pursuing embedded intelligence

AI in banking started with robotic process automation (RPA). While RPA unlocked efficiency gains, its scope is often narrow and siloed.

The next frontier is embedded intelligence, integrating AI into the heart of banking systems and workflows. This means shifting from isolated bots to end-to-end, AI-powered decisions and interactions.

Examples include:

    • Conversational AI to support relationship managers and reduce turnaround time for customer service
    • Generative AI to help staff draft credit memos, summarize reports, or prepare customer briefs
    • AI-enhanced risk scoring embedded into loan origination

Forrester (2024) notes growing adoption of GenAI across Southeast Asian corporate banks, a trend that will only accelerate.

 

2.Establishing responsible AI governance

As AI use deepens, governance must evolve from generic principles to operational rigor.

Banks face increasing pressure from regulators, customers, and shareholders to demonstrate responsible AI use, not just policy frameworks, but actual practices embedded in daily decision-making.

Key practices include:

    • Clear accountability and ownership of AI systems
    • Oversight for bias, fairness, and explainability
    • Defined guardrails for data access and model use
    • Integration of governance with IT, Risk, Compliance, and Business functions

Singapore’s DBS Bank offers a powerful example. With strong governance and strategic application, DBS generated approximately US$280 million in economic value through AI (Forrester, 2023).

 

3.Investing in AI talent

AI isn’t just a tech initiative. It’s an organizational transformation.

That’s why AI talent must go beyond the data science team. Banks need:

    • Embedded AI champions in the business
    • Upskilling for product owners and operations leads
    • A clear pathway for AI capability building at scale

Many are now setting up AI Centers of Excellence (CoE), cross-functional teams that drive AI adoption, experimentation, and integration. These CoEs help scale learnings, manage AI assets, and provide governance support.

The banks that succeed in AI will be those that build internal muscle, not just depend on external vendors.

 

Leading the AI shift

Technology is moving fast, but organizations transform more slowly.

Banking leaders must act as translators, aligning AI capability with business goals, defining measurable outcomes, and creating the space for teams to adopt new ways of working.

This next wave of AI isn’t about hype or quick wins.

It’s about:

  • A clear strategy for AI
  • Organizational readiness to adopt it
  • And committed leadership to drive lasting change

 

3 questions every banking executive should ask:

  1. How are we using AI today, and what value has it delivered?
  2. Do we have a clear roadmap for where and how AI will scale across the business?
  3. Are we building the right foundations, in data, governance, talent, and leadership, to make AI stick?

If the answers aren’t clear, now is the time to act.

 

Key takeaways:

  • Banks must shift from automation at the edges to AI embedded in core systems and workflows.
  • Responsible AI governance is no longer optional, it must be practiced, not just declared.
  • Investing in AI talent and CoEs is now a strategic imperative.

 

If you’d like to have a conversation about AI transformation in your organization, feel free to reach out – Dale Cuaycong on LinkedIn.

You can also view the original LinkedIn post:
https://www.linkedin.com/posts/dale-c-6276439a_ai-banking-digitaltransformation-activity-7315035705406062593-vt7t/

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