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ASEAN + AI: Where Does Malaysia Stand in the Race for Artificial Intelligence Leadership?

Last updated on December 25, 2025

Artificial Intelligence (AI) is redefining economies across Southeast Asia. From banking chatbots to generative AI in public services, ASEAN countries are competing to secure leadership in this transformative technology. For Malaysia, the question is clear: can it catch up to Singapore and other regional leaders to become a true AI powerhouse?

Malaysia’s Ambition: Building an AI Hub

Malaysia has made AI a central pillar of its digital economy strategy. The National AI Roadmap 2021–2025, along with the Malaysia Digital Economy Blueprint (MyDIGITAL) and MADANI Economy framework, positions AI as a growth engine.

Key milestones:

  • MDEC’s MDAG-AI grant offers co-funding up to 70% of AI projects.
  • By 2024, 140 Malaysian AI firms generated over RM1 billion in revenue.
  • Digital investments tripled to RM163.6 billion in 2024, with 76.8% directed to data centers and cloud infrastructure.

The government also aims to create 10,000 AI-related jobs, while developing a national AI governance framework to ensure responsible use.

Benchmarking: Malaysia vs. Singapore and ASEAN

The Global AI Index 2024 (Tortoise Media) ranks Malaysia at 39th globally, with Singapore at #3, trailing only the United States and China. Malaysia now stands ahead of Thailand (#43), Indonesia (#49), and Vietnam (#58) — reflecting steady progress in AI adoption and infrastructure, though the talent and R&D gap with Singapore remains significant.

📊 Benchmarking Table: ASEAN AI Leadership (2024)

CountryGlobal AI Index 2024 RankGovernment AI InvestmentKey StrengthsKey Challenges
Singapore#3 globallyS$1.6 b committed; Smart Nation 2.0 initiativesWorld-class infrastructure, governance frameworks, strong R&DHigh talent costs; reliance on global firms
Malaysia#39 globallyMDAG-AI grants (~RM 2.9 m); RM 163.6 b digital investment (2024)Expanding AI ecosystem, fintech adoption, strong policy pushTalent shortage, low R&D/patents, limited global recognition
Thailand#43 globallyAI initiatives in health, manufacturing, smart citiesLarge domestic demand, growing digital economyLimited high-end research, slower scale adoption
Indonesia#49 globallyDrafting first national AI roadmap (2025)Large population base, smart city experimentsInfrastructure gaps, early-stage adoption
Vietnam#58 globallyAI strategy to 2030, startup ecosystem emergingYoung tech talent pool, competitive costsLow funding, weak regulatory frameworks

Explore the data that makes up the Global AI Index, organised by sub-pillar categories:

Source: Global AI Index 2024 – Tortoise Media

Finance & Fintech: From Buzzword to Core Strategy

Artificial Intelligence has moved from hype to reality in Malaysia’s financial sector. Bank Negara Malaysia’s 2024 AI Survey found that 71% of banks and 77% of insurers had deployed at least one AI solution in 2024, a sharp rise from the year before.

“71% of Malaysian banks adopted at least one AI solution in 2024, up from 56% a year earlier.”
Bank Negara Malaysia, AI Survey 2024

The biggest gains are in fraud detection and AML, customer engagement (chatbots, robo-advisors, personalized analytics), and operational efficiency (loan processing, credit scoring, compliance). Most firms use AI to support human decision-making rather than fully automate high-stakes functions like trading or capital management.

Fintechs are driving innovation further with real-time fraud screening, micro-credit scoring, and AI-powered robo-investment platforms, aligning with the government’s push for digital financial inclusion.

Adoption of generative AI remains cautious — only about 20% of top executives report regular use, with institutions preferring private, secure models over open tools due to data and compliance risks.

Government Services: AI for Public Value

Malaysia’s public sector is also experimenting with AI — from smart city projects and healthcare diagnostics to AI chatbots for public inquiries.

MOSTI is drafting an AI governance framework to address transparency, fairness, and data ethics. Updates to the Personal Data Protection Act and the Cyber Security Bill (2024) are meant to build trust in AI-driven public services.

Malaysia’s AI push is not only reshaping industries but also reviving market confidence. After six years of outflows, foreign funds turned net buyers in 2024, lifting the KLCI by 12% and putting Malaysia back on global investors’ radar.

AI-linked themes have played a role in this rally. Companies investing in data centers and cloud infrastructure such as Sunway Berhad and YTL Power International, saw their share prices climb as investors positioned for Malaysia’s role in the regional AI supply chain. The momentum reflects optimism that AI will underpin future earnings growth, particularly in tech and infrastructure-linked counters.

Analysts estimate AI could add RM252 billion (US$55 billion) to GDP by 2030, roughly 9% of the economy, if adoption accelerates. This narrative has drawn institutional interest and boosted valuations of firms tied to digital infrastructure.

Still, the “AI rally” has shown volatility. By mid-2025, profit-taking and global trade uncertainties tempered gains, reminding investors that fundamentals and governance matter as much as hype. Bursa Malaysia is also exploring AI-driven market surveillance tools to curb manipulation, signaling regulators’ intent to balance innovation with stability.

Challenges Ahead

Malaysia’s AI race faces critical hurdles:

  • Talent gap: 500,000 additional AI-skilled workers needed by 2030.
  • Low R&D output: Lags behind Singapore in patents and academic publications.
  • Public trust: 62% of Malaysians worry about job loss, though 69% remain optimistic about AI’s benefits.
  • Regional competition: ASEAN peers are accelerating — Thailand (#43), Indonesia (#49), Vietnam (#58).

Conclusion: Running to Keep Pace

Malaysia is no longer a bystander in the AI race. With robust investment inflows, growing adoption in finance and government, and strong policy support, the country is building momentum.

But to move from participant to leader, Malaysia must bridge the talent gap, accelerate R&D, and strengthen governance. If it succeeds, AI could unlock billions in GDP and establish Malaysia as an ASEAN Digital Tiger.

The race is on — and Malaysia is finally running.

Sources: The information in this article is based on reports and statements from Malaysia’s government agencies, industry surveys, and expert analyses, including Bank Negara Malaysia’s AI adoption survey, announcements by MDEC and MOSTI, comparative studies on AI readiness, and regional news reports on tech investment trends. All facts have been cross-verified with reputable sources to ensure accuracy.

Author

  • Kay like to explores the intersection of money, power, and the curious humans behind them. With a flair for storytelling and a soft spot for market drama, she brings a fresh and sharp voice to Southeast Asia’s business scene.

    Her work blends analysis with narrative, turning headlines into human stories that cut through the noise. Whether unpacking boardroom maneuvers, policy shifts, or the personalities shaping regional markets, Kay offers readers a perspective that is both insightful and relatable — always with a touch of wit.

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