Singapore is investing heavily in the research and innovation infrastructure underpinning its AI ambitions. Over the next five years, Singapore has dedicated approximately USD 29 billion (equivalent to SGD 37 billion) through the Research, Innovation and Enterprise (RIE) 2030 Plan, which is designed to deepen research capabilities, expand the talent pool, and accelerate innovation in AI, data, and computation.
In addition, Singapore is strengthening the institutional architecture needed to support its national AI strategy. An inter-ministerial National AI Council will be established to provide strategic direction, coordinate regulatory approaches, and commission AI missions in priority sectors such as advanced manufacturing, connectivity, finance, and healthcare.
At the same time, Singapore is positioning itself at the forefront of emerging challenges in AI governance. In January 2026, during the World Economic Forum, the Minister for Digital Development and Information announced the Model AI Governance Framework for Agentic AI (MGF), addressing AI systems capable of independent planning, reasoning, and executing actions on behalf of users. During the World Economic Forum, the Minister for Digital Development and Information announced the Model AI Governance Framework for Agentic AI (MGF). This positions Singapore as the first country to introduce a structured governance framework tailored specifically to agentic AI systems.
These developments set the context for the Tech for Good Institute (TFGI) and SMU Centre for Digital Law’s closed-door roundtable on “Tech Governance in Southeast Asia,”. This roundtable brought together perspectives from government, academia, industry, and international organisations. The discussion focused on how Singapore is navigating rapid technological change and shaping governance approaches that are both adaptive and practical, drawing on insights from TFGI’s latest report, The Evolution of Tech Governance in Southeast Asia (2026), which examines how governance frameworks are evolving across Indonesia, Malaysia, the Philippines, Singapore, Thailand, and Vietnam.
Key Takeaways
- Singapore Adopts a principles-based, layered approach to AI governance.
Singapore’s approach to AI governance is flexible, outcome-driven, and designed around a deliberately multi-tool framework. Rather than anchoring governance in a single, comprehensive AI law, Singapore has prioritised a principles-based and largely voluntary approach.
This is operationalised through a layered toolkit, with each component serving a distinct governance function. Voluntary frameworks and guidelines, such as the Model Governance Framework and the Agentic AI Framework, establish shared norms, clarify roles, and help organisations navigate complex and unfamiliar systems. Testing and assurance tools, like AI Verify, enable organisations to demonstrate responsible practices and build trust through verification rather than regulatory mandate. Standards and capacity-building initiatives complement these tools by enabling scalability and practical applications. .
This reflects adaptive governance involving the selection and combination of instruments based on the problem, balancing innovation with risk mitigation, and iterative adjustment over time.
- Regional Governance Requires Standards and Capacity-Building Alongside Adaptive Legislation
The case for standards and capacity-building alongside adaptive legislation becomes clear when set against the governance realities facing the region. Regional AI governance is shaped by fragmented legal baselines. In many Southeast Asian countries, the absence of standalone AI legislation has led to reliance on adjacent regulations, such as cybersecurity and data protection laws, which were not designed with AI in mind. This creates uncertainty.
While codified laws present distinct benefits such as a useful reference point, demonstrate political commitment, and facilitate coordination across agencies, they also come with structural risks. If not done correctly, these laws may become too complex to scope, prone to overreach, and can quickly become outdated.
This underscores the need for adaptive legislation, supported by standards and capacity-building. Standards enable faster alignment across diverse legal systems and reduce cross-border friction without requiring constant legal revision. Capacity-building ensures that governance frameworks are implemented in practice, not just articulated in policy.
Therefore, effective regional governance requires a combination of adaptive legislation, capacity-building, and shared vocabularies across the region.
- A Singapore’s ASEAN Chairmanship in 2027 Potentially Advances Regional Coherence
Singapore’s ASEAN Chairmanship in 2027 comes at a time of increasing divergence in regional AI governance. Countries are moving at different speeds, shaped by different legal traditions and the adoption of varied external models, creating a growing coordination gap. The chairmanship presents an opportunity to strengthen regional coherence and to shape how ASEAN engages collectively in global AI governance discussions.
Three priorities stand out.
First, advancing enterprise AI adoption through capacity-building and practical governance tools. The economic and social gains from AI will depend not only on frontier model development, but also on broad-based deployment across sectors. For this to materialise, enterprises, particularly SMEs, need the capability to adopt AI responsibly. Workforce skilling is a critical enabler; without it, neither adoption nor diffusion will scale.
Second, building cooperation mechanisms that demonstrate governance in practice. Joint regulatory sandboxes, cross-border pilot projects, and industry-led cooperation platforms can provide tangible proof points on how regional frameworks work in the real world. These operational demonstrations build trust, reduce uncertainty, and create the conditions for greater alignment across jurisdictions.
Third, shaping a more coherent ASEAN voice in global AI governance. As partners from outside the region increasingly engage ASEAN as a bloc, there is an opportunity to articulate positions where alignment is feasible and strategically valuable. This does not require full consensus, but rather sufficient convergence on key principles and standards to enable effective participation in international forums. These can start with accepted international standards first, with a view of getting the whole region on board once economies are ready.
Singapore’s chairmanship can be an enabler of practical cooperation, shared capacity, and impactful alignment.
