Singapore is sharpening its national artificial intelligence (AI) agenda through a set of targeted National AI Missions aimed at accelerating adoption across major sectors of the economy. Speaking at ATxSummit 2026, Minister for Digital Development and Information Josephine Teo outlined how the country is expanding its AI ecosystem, strengthening governance frameworks and supporting enterprise adoption. The updated approach builds on the National AI Strategy 2.0 and reflects lessons from recent deployments as AI technologies become more embedded across public services and industry.
In her opening address at ATxSummit 2026, Mrs Teo highlighted how global AI development has accelerated significantly in recent years. Singapore has responded by strengthening its national ecosystem, including establishing around 70 AI Centres of Excellence and developing regional open-source models such as SEA-LION and MERaLiON. These initiatives are complemented by programmes like AI for Science, which applies AI capabilities to complex challenges such as vaccine development.
Earlier in 2026, the government also established a National AI Council chaired by Prime Minister Lawrence Wong. The council is tasked with guiding the country’s strategic AI priorities and overseeing initiatives designed to broaden adoption across the economy, deepen AI capabilities and position Singapore as a trusted hub for AI innovation.
Expanding AI Adoption Across Enterprises
Singapore’s updated approach focuses on expanding AI adoption beyond early pilots and experimentation. The National AI Impact Programme aims to help 10,000 small and medium-sized enterprises (SMEs) integrate AI meaningfully into their operations. In parallel, the Champions of AI programme will provide targeted support for organisations ready to implement AI at an enterprise-wide scale.
This broader adoption strategy reflects the view that small-scale projects only capture a fraction of AI’s productivity potential. Public-sector initiatives are therefore designed to help businesses scale their deployments while addressing cost, governance and operational challenges that often emerge during implementation. These considerations mirror wider discussions around enterprise AI control and infrastructure costs highlighted in the analysis of enterprise AI governance and cost management.
Four Priority Sectors for National AI Missions
The government has identified four sectors where large-scale AI deployment could generate substantial economic and societal impact: connectivity, advanced manufacturing, healthcare and finance. Together, these sectors account for more than 40% of Singapore’s GDP and already benefit from strong global competitiveness.
The National AI Missions will focus on solving complex operational challenges within these sectors rather than developing technology in isolation. Government enablers such as regulatory sandboxes and secure access to data are intended to support experimentation and accelerate practical deployment.
Connectivity and Transport Systems
In aviation, Singapore is exploring how AI could support operations at Changi Airport as the planned Terminal 5 expansion doubles passenger handling capacity from 70 million to 140 million travellers annually. AI could help address complex operational challenges such as aircraft sequencing, baggage movement across terminals and passenger flow between gates.
Similar opportunities exist in maritime operations at Tuas Port, the world’s largest automated container terminal. The port’s large operational datasets provide a foundation for developing new AI-driven optimisation and logistics solutions.
Advanced Manufacturing and Embodied AI
Singapore’s manufacturing sector also presents opportunities for AI deployment. The country already maintains one of the highest industrial robot densities globally, approximately five times the global average. Emerging developments in physical and embodied AI could support process simulations, predictive maintenance and more efficient digital twin systems.
To support research in these areas, NVIDIA has established a new research laboratory in Singapore focused on embodied and efficient AI. The facility will collaborate with universities, industry partners and government agencies to develop solutions that can be tested in real operational environments.
Singapore is also positioning the Punggol Digital District as a testbed for robotics and AI deployment. The district will feature an integrated data platform, real-world testing scenarios and special permits for robotic systems, enabling companies to trial solutions before wider deployment.
Strengthening AI Governance and Trust
Alongside technological development, Singapore is placing strong emphasis on governance frameworks to ensure AI systems remain safe and trustworthy. Mrs Teo noted that risks associated with autonomous agents, cybersecurity threats and misinformation extend beyond national borders and require coordinated international responses.
One initiative addressing these concerns is Singapore’s Model Governance Framework for Agentic AI, first introduced at the World Economic Forum in January. The framework is being updated with practical case studies from organisations, including PwC and Workday, illustrating how agentic systems can be deployed responsibly.
Within government, agencies are experimenting with AI agents through controlled sandboxes in collaboration with technology partners such as Google. Insights from these pilots inform regulatory approaches while helping policymakers understand operational risks and safeguards.
Singapore is also participating in international research collaboration on AI safety. Earlier in the week of ATxSummit 2026, leading researchers updated the Singapore Consensus on Global AI Safety Research Priorities, contributing to ongoing global discussions on responsible AI development.
AI for Public Value and Global Collaboration
As AI becomes more embedded in Singapore’s economy and public services, policymakers emphasise its role in addressing broader societal needs. Applications in areas such as healthcare and education are intended to improve the quality of life while supporting long-term demographic and service challenges. Efforts to integrate AI into healthcare systems, for instance, are already supporting initiatives aimed at managing the demands of an ageing population, as explored in Singapore’s wider AI-driven healthcare transformation.
Singapore’s approach relies heavily on collaboration between the government, research institutions and global technology companies. By providing trusted regulatory environments and real-world testing platforms, the country aims to enable the development of AI solutions that can scale internationally while maintaining strong governance standards.
This article is created with the assistance of OpenGov AI.