Singapore’s next 60 years begin by strengthening its foundations for AI

Singapore’s next chapter will hinge on whether its digital backbone can support the weight of AI.

For the past 60 years, Singapore has built a reputation as one of the world’s most connected and competitive economies – a global hub where progress is powered by its forward-looking vision. 

That same ambition now drives its next chapter: becoming a global leader in the deployment and integration of artificial intelligence (AI) across industries, governance, and daily life.

At the National Day Rally earlier this year, Prime Minister Lawrence Wong laid out a bold vision for AI – one that empowers workers, redesigns jobs for a transformed economy, and equips enterprises with the tools to stay competitive. 

This vision is embedded in Singapore's national AI Strategy 2.0, which mobilises government and private sectors to spur innovation, develop talent and strengthen infrastructure – from compute and data access to governance frameworks and international partnerships.

But ambition alone isn’t enough. Infrastructure must keep pace. While over $1b has been committed to AI development – including $500m for high-performance compute – data suggests ambition may outpace readiness. 

A recent PwC study projected Singapore to have the lowest compound annual growth rate (CAGR) in data centre capacity amongst 14 APAC markets through 2028. True AI readiness goes beyond chips and data centres; it requires seamless connectivity, low latency, and interoperability across AI environments.

To close the gap, Singapore must reinforce its digital backbone - both nationally and at the edge. The effectiveness of AI hinges on access to compute power, energy efficiency, and vast datasets. 

The global surge in demand for GPUs and high-performance servers reflects this reality. Every nation pursuing AI leadership faces the same challenge: scaling infrastructure while ensuring sustainable power consumption and operational efficiency. 

This requires three foundational design principles: 

Mandate unified, end-to-end connectivity
AI relies on vast, real-time data flows. For complex, large-scale applications to function – especially in regulated sectors like finance and healthcare – latency is non-negotiable. 

Low-latency connectivity enables faster performance, quicker decision-making, and optimised data-intensive processes. Interconnectivity is equally critical. Networks must be tightly meshed across data centres, cloud platforms, edge nodes, and even across borders to enable seamless movement, processing, and analysis of massive datasets. 

Investments in advanced data centres, such as leveraging the National Supercomputing Centre and adopting green efficiency standards, are steps in the right direction. Without this crucial digital nervous system, large-scale AI deployment will remain bottlenecked.

Embed strategic security 
Trust in digital systems is integral in today’s data-driven era. As cyberthreats grow more sophisticated and state-sponsored attacks become more common, a proactive and integrated security posture is essential.

Security must be embedded across the entire AI value chain – from hardware (GPUs, servers) to cloud environments and data pipelines. This includes securing supply chains, ensuring data privacy, and building resilience Security Operations Centres (SOCs) at both national and enterprise levels.

Singapore’s Cybersecurity Strategy 2021 and initiatives like AI Verify are important steps, but continued investment in talent pipelines, threat intelligence sharing, and public-private collaboration will be key to defending our digital core.

Prioritise strategic resilience
Infrastructure, connectivity, and security are especially critical in regulated sectors like financial services and healthcare, where latency, data sovereignty, and uptime are paramount.

The same applies to manufacturing and logistics, which depend on real-time operations and interconnected supply chains.

As private AI investments grow, national architecture must evolve in tandem. Resilience must be embedded as a design principle, not an afterthought. 

This includes adaptive networks that can reroute traffic or restore functionality automatically during outages, redundancy and geographic diversity in data centres to avoid single points of failure, and stress-testing systems under real-world conditions to expose and address vulnerabilities.

In an AI-driven society, the cost of failure is too high to ignore. When systems underpinning healthcare, finance, or even logistics falter, the ripple effects can be severe.

Resilience must also be inclusive. As Singapore pushes toward a “we-first” society, access to AI infrastructure must extend to SMEs and individuals, not just large enterprises. Shared services and collaborative models can help distribute AI benefits more broadly, supporting a society where growth is shared.

Build today, lead tomorrow
This commitment to progress is deeply rooted in Singapore’s story. As AI redefines economies and societies, we must treat our digital infrastructure with the same urgency that built our housing, healthcare, and education systems.

The digital age demands the same foresight. The next 60 years will be defined not just by how we innovate – but by how we prepare. And that preparation starts with the foundations we build today.