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Singapore’s Adoption of AI: Should ASEAN Follow Its Lead?

Oct 8
8 min read

Singapore has built one of Southeast Asia’s most coordinated approaches to artificial intelligence. The question for ASEAN is not whether to copy it, but how can it be adapted across a much more diverse region National AI Strategy, 2026 ASEAN Responsible AI Roadmap 2025–2030, 2025.


Artificial intelligence is no longer an emerging technology but an increasingly important part of economic competitiveness. Across Southeast Asia, governments and businesses are looking at AI to improve productivity, develop new services, strengthen healthcare, modernize agriculture and compete for investment. In response ASEAN developed its Responsible AI Roadmap to identify how AI can be adopted and regoinally implemented in line with its priorities ASEAN Responsible AI Roadmap 2025–2030, 2025.


Singapore has moved particularly quickly, by embracing this ahead of its counterparts. They have combined government strategy, business adoption, research, skills development and AI governance. In December 2023 it launched the National AI Strategy 2.0. Three years later it established the National AI Council in February and released an updated strategy containing ten refreshed priorities in May 2026 National AI Strategy, 2026. Their experience can offer ASEAN important lessons. However, it is not a blueprint to be simply copied. The real value to ASEAN is what a regional AI policy could look like—and act as an AI development hub through which other member states can develop their own capabilities ASEAN Guide on AI Governance and Ethics, 2024.


Singapore's National AI strategy
Singapore's National AI strategy

Key Facts



Singapore’s AI Model: From Strategy to Adoption


Singapore’s advantage was not as simple as simply investing heavily in the technology. They built a system connecting government policy, infrastructure, businesses, research institutions and workforce development. This coordination formed the foundation of Singapore's success. Its National AI Strategy is supported by enterprise programmes, digital infrastructure, AI governance mechanisms, research capabilities and workforce initiatives National AI Strategy, 2026 Singapore Digital Economy Report 2025, 2025.


Government-Led AI Adoption


Singapore’s National AI Strategy has evolved from establishing national capabilities towards accelerating real-world adoption. The 2026 update reflects how quickly AI has changed since National AI Strategy 2.0 was first released in 2023. To ensure the government is on top of these rapidly changing times, it established the National AI Council to provide strategic direction and coordinate Singapore’s AI agenda National AI Strategy, 2026. This important change's focus it will help AI policy to be more practical as opposed to theoretical.


In addition to policy, Singapore is increasingly measuring whether businesses and workers are using AI, so they can support the adoption where needed to allow for smooth transitions. In 2024, AI adoption among SMEs more than tripled to 14.5%, while adoption among larger non-SMEs reached 62.5% Singapore Digital Economy Report 2025, 2025.

The government has subsequently expanded programmes designed to move enterprises from experimentation towards practical deployment. The National AI Impact Programme aims to support 10,000 enterprises over three years and help 100,000 workers develop AI fluency alongside their existing professional expertise AI for Enterprise Impact Playbook, 2026.


Public–Private Partnerships Matter

Singapore’s model utilizes the cooperation between government, technology companies, research institutions and businesses. Its Digital Leaders Programme supports digitally mature companies in developing and implementing digital projects, including projects involving generative AI. The programme helps firms identify high-impact use cases to develop implementation plans and work with technology partners so they can apply AI governance practices GenAI x Digital Leaders, 2024.


Why ASEAN Should Study Singapore’s Model


AI Could Become a Regional Growth Engine

The economic case for AI extends beyond the technology sector. AI can improve productivity in manufacturing, financial services, logistics, healthcare, agriculture and professional services. Singapore’s experience is proof of this. More than two-thirds of Singapore’s digital-economy value comes from the digitization of the rest of the economy, demonstrating the importance of digital transformation beyond the information and communications sector Singapore Digital Economy Report 2023, 2023.


AI Can Help Address ASEAN’s Development Challenges

AI can help address practical challenges such as healthcare access, agricultural productivity, disaster management, education and public administration. For example precision agriculture could help farmers use water, fertiliser and land more efficiently. Meanwhile, AI-assisted healthcare could help extend specialist expertise to underserved communities, and finally AI could also improve early-warning systems for floods, storms, fires and other natural disasters.


Therefore, learning to leverage AI to their unique needs can help ASEAN economies be more productive, resilient and inclusive, aligning within the regional AI frameworks emphasis on practical, responsible and sustainable deployment ASEAN Guide on AI Governance and Ethics, 2024 ASEAN Responsible AI Roadmap 2025–2030, 2025.


The Digital Divide Is Real

AI adoption is not a single part, it requires multiple moving parts. Businesses need reliable connectivity, cloud access, cybersecurity and data systems. Workers need digital skills.

Governments need institutions capable of developing and enforcing policy.

If those foundations are not there, AI adoption will be slower. Each ASEAN member should take into account their own individual needs and capabilities to develop their unique timeline, as highlighted by The Responsible AI Roadmap ASEAN Responsible AI Roadmap 2025–2030, 2025.


Regulation Is Another Challenge

AI also creates difficult questions around data protection, accountability, intellectual property, cybersecurity and responsible deployment. Singapore has invested heavily in AI governance and assurance. Its AI Verify framework, developed by IMDA, provides a testing framework based on principles including transparency, repeatability, safety, security, robustness, fairness, data governance, accountability and human agency AI Verify Fact Sheet, 2023. ASEAN has already begun building a regional approach through its AI Governance and Ethics Guide and Responsible AI Roadmap 2025–2030, which encourages alignment and interoperability among AI frameworks while providing national and regional recommendations for responsible AI development and deployment ASEAN Guide on AI Governance and Ethics, 2024.


The ASEAN Approach Should Be Adaptation, Not Replication


Singapore should not become ASEAN’s AI regulator. It should become one of ASEAN’s AI capability hubs.


ASEAN should continue developing interoperable approaches to AI governance, with a focus on compatible rules. The ASEAN Guide on AI Governance and Ethics provides a baseline for alignment, while the Responsible AI Roadmap provides practical, step-by-step guidance for implementation. ASEAN Guide on AI Governance and Ethics, 2024 ASEAN Responsible AI Roadmap 2025–2030, 2025. To support this ASEAN could develop a tiered approach. More advanced economies could focus on AI research, high-performance computing, advanced applications and AI startups. Emerging economies could initially prioritise AI adoption in manufacturing, agriculture, healthcare and public services. Less digitally developed members could focus first on connectivity, data infrastructure, digital literacy and basic AI capabilities. Accounting and adapting for each member's circumstance will allow every country to participate without pretending that every country starts from the same position ASEAN Responsible AI Roadmap 2025–2030, 2025.



What Should Happen Next?


1. Turn Singapore Into a Regional Knowledge Hub

Singapore can share expertise in AI governance, enterprise adoption, research and responsible AI testing with other ASEAN members. Its AI Verify experience could be particularly valuable as ASEAN develops interoperable approaches to AI assurance. It offers a practical testing framework and toolkit that organizations can use to assess AI systems against recognized governance principles AI Verify Fact Sheet, 2023.


2. Build ASEAN AI Talent Networks

ASEAN should expand regional programmes for AI researchers, engineers, data scientists and digital workers. Universities and technology companies should be encouraged to establish cross-border research and training partnerships. The goal of these networks should be to reduce the tendency for AI talent to concentrate exclusively in the region’s wealthiest economies. Singapore’s National AI Impact Programme provides one possible model by combining enterprise adoption with workforce development. AI for Enterprise Impact Playbook, 2026.


3. Focus AI on ASEAN Problems

ASEAN should develop AI solutions for challenges that are particularly relevant to Southeast Asia. Each ASEAN member has their own unique circumstances and thus they should develop an AI strategy that can operationalized in ways that are meaningful, impactful and sustainable to each member states’ specific needs and capabilities ASEAN Responsible AI Roadmap 2025–2030, 2025.


These could include:

  • Food security

  • Healthcare access

  • Climate resilience

  • Disaster response

  • Manufacturing productivity

  • Supply-chain management

  • Financial inclusion

  • Urban planning


4. Help SMEs Adopt AI

Large companies will probably adopt AI faster than smaller businesses, putting SMEs at a disadvantage due to the lack of resources in comparison, creating a risk that AI could widen existing economic inequalities.

Singapore’s experience shows how targeted government support can play a strong part in AI adoption. Singapore SMEs AI adoption rose from 4.2% in 2023 to 14.5% in 2024. Singapore Digital Economy Report 2025, 2025 GenAI x Digital Leaders, 2024.

ASEAN could use similar mechanisms while developing a regional strategy. This would simultaneously help the adoption of AI by SMEs and ensure it is developed in a way that suits indidivudal ASEAN member needs.


Conclusion: ASEAN Should Follow Singapore—but Not Copy It


Singapore’s AI path offers ASEAN an important lesson. AI adoption requires a combination of coordination, government strategy, technoilogical ivnestment and a skilled work force.

ASEAN needs all of them working together, but more importantly can provide all of this.

Singapore has demonstrated what coordinated AI adoption can look like at the national level. It has shown how government policy can help move AI from experimentation into the wider economy Singapore Digital Economy Report 2025, 2025 AI Verify Fact Sheet, 2023.

The opportunity now is for ASEAN to take those lessons and adapt them to a much larger and more diverse region. With SIngapore providing the laboratory, other ASEAN economies can provide different markets, talent pools, industries and real-world challenges, with ASEAN institutions providing the regional framework. ASEAN's goal should try to become an interconnected AI economy where every member can participate according to its capabilities, with an emphasis on tailored, interoperable implementation provides a foundation for that approach ASEAN Responsible AI Roadmap 2025–2030, 2025.


Frequently Asked Questions


Is Singapore the AI leader in ASEAN?

Singapore is one of ASEAN’s most advanced AI ecosystems, particularly in AI governance, digital infrastructure, enterprise adoption and government coordination. Its National AI Strategy, National AI Council, enterprise programmes and AI-assurance tools have established a structured approach to AI development and adoption National AI Strategy, 2026 Singapore Digital Economy Report 2025, 2025.


Should other ASEAN countries copy Singapore’s AI strategy?

They should study it rather than copy it directly. ASEAN economies differ significantly in infrastructure, skills, economic development and institutional capacity. Singapore’s experience is most useful as a source of lessons that can be adapted to national circumstances ASEAN Responsible AI Roadmap 2025–2030, 2025.


What can ASEAN learn from Singapore’s AI approach?

Three areas stand out: government coordination, practical support for businesses and responsible AI governance.


How can AI benefit developing ASEAN economies?

It can improve productivity and access to services in areas such as agriculture, healthcare, manufacturing, education, logistics and disaster management. The greatest opportunity may be using AI to address regional development challenges rather than simply developing frontier AI technologies ASEAN Responsible AI Roadmap 2025–2030, 2025.


Does ASEAN have a regional AI strategy?

ASEAN has not developed a regional strategy but has developed several regional AI frameworks, including the ASEAN Guide on AI Governance and Ethics and the ASEAN Responsible AI Roadmap 2025–2030. These seek to encourage responsible and interoperable AI development while recognising differences among member states ASEAN Guide on AI Governance and Ethics, 2024 ASEAN Responsible AI Roadmap 2025–2030, 2025.


What is the biggest obstacle to AI adoption across ASEAN?

Uneven level of digital infrastructure, skills, investment and institutional capacity across the region. ASEAN therefore needs differentiated adoption strategies rather than a single model applied uniformly to every member state ASEAN Responsible AI Roadmap 2025–2030, 2025.

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