Tech Explained: Singapore and India Are Competing to Become APAC’s AI Hubs in Simple Terms

Artificial intelligence is becoming a strategic priority for governments across Asia Pacific. As countries compete to attract talent, startups, and investment, they are also building ecosystems designed to support enterprise adoption of AI technologies.

For companies operating in the region, these policy shifts increasingly influence where AI teams are built, where systems are tested, and where innovation clusters emerge.

Among the contenders, Singapore and India are emerging as two of the clearest AI hub models for enterprise leaders. Both governments are investing heavily in artificial intelligence, but their strategies differ. Singapore is positioning itself as a regional deployment and governance hub, while India is building momentum as a large-scale AI development ecosystem.

For executives, understanding the incentives and capabilities each market offers could shape where AI investment flows over the next decade.

Singapore’s bet: becoming APAC’s AI control tower

Singapore’s approach focuses on becoming the regional base where companies design, govern and deploy AI systems across Asia Pacific.

A key pillar is government-backed funding to accelerate enterprise adoption. Under Singapore’s Enterprise Compute Initiative, up to S$150 million has been allocated to help companies build AI capabilities, providing cloud credits, technical tools and consulting support to develop AI prototypes and production systems.

Companies participating in the programme can receive consultancy subsidies covering up to 70% of project costs, capped at roughly S$105,000 per company, alongside access to hyperscale cloud infrastructure to build and deploy AI solutions.

Singapore is also investing in workforce transformation. Through the National AI Impact Programme, the government aims to train 100,000 workers in AI skills by 2029 and support 10,000 enterprises adopting AI technologies.

Talent attraction is another priority. Singapore has introduced specialised immigration pathways designed to draw top global technology professionals, including AI-focused visa tracks aimed at addressing the country’s tech talent shortage.

How enterprise leaders can benefit

For executives, Singapore offers one of the region’s most structured environments for deploying and scaling enterprise AI.

Government subsidies can significantly reduce the cost of early-stage AI pilots, while cloud credits and consulting support accelerate development timelines. Combined with Singapore’s regulatory clarity, strong digital infrastructure and concentration of multinational headquarters, these incentives make the country attractive for establishing regional AI centres of excellence that support operations across Asia Pacific.

India’s strategy: scale, compute and engineering depth

India is pursuing a different model, positioning itself as a large-scale AI development and engineering ecosystem.

The government’s IndiaAI Mission, backed by an investment of about ₹10,372 crore (approximately US$1.2 billion), aims to expand national AI compute infrastructure, support research and accelerate startup development.

Key government offerings for enterprises

India’s AI strategy includes several programmes businesses can leverage:

• Subsidised AI compute – A national compute infrastructure of 18,000+ GPUs, with eligible users able to access computing resources at up to 40% reduced cost.
• AI innovation centres – Government-backed hubs focused on developing indigenous large AI models and sector-specific solutions across industries such as healthcare, agriculture and education.
• National dataset platforms – The IndiaAI Datasets Platform provides curated datasets to support AI model training and development.
• Startup funding and incubation – Government-backed programmes providing capital and mentorship for AI startups developing new technologies and applications.

Momentum around the ecosystem was also highlighted at India’s recent AI Impact Summit, which brought together policymakers, global technology firms and startups to showcase progress and encourage international collaboration.

How enterprise leaders can benefit

For enterprise leaders, India offers advantages in AI development scale and cost efficiency.

Companies can tap into a large engineering workforce while accessing subsidised compute infrastructure and growing government-backed innovation programmes. This combination makes India particularly attractive for model training, AI research and large-scale product development.

India’s vast digital population also creates opportunities for organisations looking to pilot AI systems in real-world markets across sectors such as financial services, healthcare and agriculture.

Different strengths, different paths

Singapore and India illustrate two distinct approaches to building AI ecosystems.

Singapore is positioning itself as a hub for enterprise AI deployment, governance and regional operations, supported by structured incentives and talent attraction policies. India is emerging as a centre for AI development, engineering and experimentation at scale, powered by compute infrastructure and a large technical workforce.

For executives building AI strategies in Asia Pacific, the region may not converge around a single dominant hub. Instead, a multi-centre ecosystem is emerging — with Singapore acting as a deployment hub and India as a development powerhouse.