RESEARCH REPORT
From Oversight to Advantage
AI is disrupting Malaysia’s financial sector, with $1.8B potential in 3 years. Adoption is high but scaling is limited, requiring strong board action to unlock growth.
5-MINUTE READ
June 22, 2026
In brief
- AI is disrupting Malaysia’s FIs: $1.8B upside in 3 years, but scaling lags (17% vs 50% APAC), risking missed value.
- Only a small share of institutions have scaled or made bold AI bets; capability, talent, and digital core gaps are slowing enterprise-wide adoption.
- Boards must lead AI transformation by scaling high-value bets, reinventing talent, investing in digital core, and embedding Responsible AI governance.
Executive summary
AI is already disrupting Malaysia’s financial institutions, and board decisions in the next 18–24 months will determine leadership outcomes. Modelling shows a US$1.8B profit opportunity over three years, a 16% uplift driven by growth, cost reduction, and improved risk management.
While most institutions have deployed AI and are seeing early benefits, scaling remains limited. Only 17% have scaled generative AI across value chains, with few making bold, high-value bets.
Closing this gap is a board responsibility. Leaders must set direction, allocate capital, and ensure accountability through four imperatives: scale strategic bets with P&L impact, reinvent talent, invest in a digital core, and embed Responsible AI governance.
AI on the agenda
Every technology wave promised disruption, but two reshaped banking: computerisation improved back-office efficiency over decades, while the internet created new digital channels and competition.
Now, AI is set to transform banking more radically. Unlike past shifts that changed access and operations, AI reshapes the nature of work itself—impacting decisions in credit, risk, and customer relationships. Crucially, this transformation is happening far faster, unfolding in months or years rather than decades.
Different types of AI and how Malaysian financial institutions are using them
Leaders are already capturing AI value. JPMorganChase achieved ~$2B in value by scaling AI across its workforce. DBS built 2,000+ models over a decade, generating ~S$1B (~US$770M) in 2025, up from ~S$750M in 2024, showing strong returns from long-term AI investment.
When multiplied across the industry, the economic impact of AI is striking. Our research across the top 200 global banks suggests that scaled AI adoption over the next three years could generate up to US$289 billion in pre-tax profit. In Malaysia’s banking sector, this translates into an additional US$1.8 billion (~RM7.1 billion) in profit through a 38% reduction in loan-loss provisions, an 8.3% reduction in operating costs and a 3.7% increase in revenues (see Figure 1).
Figure 1: AI could help Malaysia’s financial institutions improve both the top- and bottom-line across multiple value pools.
Financial institutions (FIs) in Malaysia have been quick to recognise the opportunity and eager to move. Across the sector, 71% of banks and 77% of insurers and takaful operators had already implemented at least one AI application by end-2024—a deployment rate that reflects genuine institutional appetite for what AI can deliver. Early returns are already showing up in the numbers, with meaningful progress across risk management, customer service and operational efficiency (Figure 2).
Figure 2: From fraud detection to claims processing, Malaysia’s FIs are already generating returns from their AI investments.
National initiatives such as MADANI, AI-RMAP and NIMP 2030 position AI at the centre of economic transformation, with financial services a key sector for impact. Bank Negara Malaysia (BNM) has reinforced this direction through its Financial Sector Blueprint and recent work on AI in the financial sector. As the primary intermediary of capital across the economy, Malaysia’s financial institutions are uniquely positioned to translate this national ambition into real economic value.
Capturing the US$1.8 billion pre-tax profit opportunity depends on how quickly institutions move from isolated deployment to enterprise-scale adoption. The question is now whether Malaysia’s financial institutions can scale AI fast enough to capture that value, and whether boards will push them to do it.
Reality check: Deployment is not the destination
Boards should move beyond cautious, incremental AI pilots and push for bold, strategic investments that drive end-to-end transformation. Prolonged pilots risk widening the gap with global and APAC peers, where scaling is already more advanced.
A true strategic bet involves long-term commitment, clear ownership, and measurable business impact—but only 17% of Malaysian financial institutions (FIs) have scaled even one, compared to 47% globally and 50% in APAC, with insurers showing no progress.
While Malaysian FIs are relatively strong in foundational areas like data strategy and governance, they lag in critical capabilities needed to scale AI (e.g., LLMOps, AI platforms, talent). This capability gap limits their ability to execute and sustain strategic AI initiatives.
How boards can accelerate AI adoption
AI has reached the board level faster than expected, and while many directors feel unprepared, this makes their role more critical—not less. Most board members currently have only a basic understanding of AI, reflecting that governance structures have not yet kept pace with technological change.
Despite this gap, boards cannot take a passive role. Because AI impacts core strategic areas—such as capital allocation, risk, talent, and customer trust—boards must shift from oversight to active leadership.
In practice, boards should operate in two roles:
- As architects: setting direction, defining ambition, and approving key strategic bets
- As auditors: holding management accountable for measurable outcomes and results
This leadership translates into four priorities:
- Scale AI investments with clear business impact
- Reinvent talent and ways of working
- Build an AI-ready digital core
- Institutionalise Responsible AI
Ultimately, the difference lies between boards that passively observe AI adoption and those that actively shape how AI transforms their organisation.
Four board-led imperatives
Imperative 1: Scale strategic bets with P&L impact
Gen AI could deliver billions for Malaysian banks, but focus is misaligned—efforts target lower-value areas, not top P&L drivers or integration.
Imperative 2: Reinvent talent and ways of working
Talent is the key AI barrier for Malaysian FIs—hard to hire, limited skills, and weak external partnerships. Boards must drive talent strategy and accountability.
Imperative 3: Build an AI-ready digital core
Malaysian FIs lag in AI readiness—weak data platforms and legacy systems limit scale. Boards must treat digital core as a strategic priority.
Imperative 4: Institutionalise Responsible AI
RAI is key but underdeveloped: most Malaysian FIs lack mature frameworks. Boards must own governance to enable faster, safer AI scaling.
The next 90 days
In the next 90 days, board decisions—not long-term plans—will determine which FIs lead or lag, starting with six immediate actions on key AI imperatives.
1
Request briefing on top 3-5 AI initiatives and mandate explicit P&L targets for each.
2
Make AI and Responsible AI standing board agenda items.
3
Require a credible plan with a timeline and named owners.
4
Appoint a board-level AI champion to lead AI literacy development.
5
Demand a digital core readiness and modernisation roadmap, identifying where legacy complexity constrains the highest-value bets.
6
Require management to present a gap analysis of existing risk frameworks against AI-specific risks.
This is Malaysia’s moment
Malaysia’s FIs face a pivotal moment: board decisions on strategy, capabilities and risk will determine whether they lead or lag. AI is a board-level priority, not an IT task. The window to act is closing as APAC peers pull ahead, widening the gap with every quarter of delay. Institutions that act decisively in the next 90 days can build lasting advantages in talent, infrastructure and institutional knowledge.
Boards must balance risk governance with value creation, seizing a rare opportunity to drive growth. The stakes extend beyond institutions to Malaysia’s broader economy. With a strong starting point and clear playbook, success now depends on boards taking ownership and acting with urgency.