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AI set to add nearly US$1 trillion to Southeast Asia's economy by 2030

AI is expected to boost Southeast Asia's economy by nearly US$1 trillion by 2030. Singapore is taking the policy lead, while Malaysia is drawing record infrastructure investment. Generative AI is accelerating adoption across retail, finance, healthcare and education, reshaping the region's growth trajectory.

Intelligence Desk4 min read

Singapore leads on policy while Malaysia attracts record AI infrastructure investment.

Artificial intelligence (AI) is not merely a promising technology in Southeast Asia, it is fast becoming the region’s most powerful growth engine. A new paper from Indonesian venture capital firm East Ventures suggests AI adoption could increase Southeast Asia’s GDP by 13% by 2030, equivalent to nearly US$1 trillion. Singapore, with its proactive governance, and Malaysia, with its surging infrastructure investment, are emerging as pivotal players in shaping this transformation.

AI is projected to add around US$950 billion to Southeast Asia’s GDP by 2030, lifting the region by 13%.,Singapore is spearheading adoption through policy, funding and innovation hubs, while Malaysia is attracting billions in AI infrastructure investment.,Generative AI (genAI) is driving gains in e-commerce, finance, education and workplace productivity across the region.

The economic uplift from AI

The projected US$950 billion boost comes from productivity gains, operational efficiencies and smarter personalisation across sectors ranging from banking to agriculture. East Ventures expects retail platforms to see a 30% uplift in conversions through recommendation engines, while banks and law firms could cut processing times by almost a quarter. Manufacturing is forecast to benefit from a 22% rise in production efficiency, while healthcare providers may reduce patient waiting times by more than a third.

Agriculture is also entering a new age of precision. AI-powered farming tools are expected to lift yields by 32% while cutting water usage by 28%. Even petrochemicals, often perceived as slow to digitise, stand to reduce operating costs by 12% thanks to predictive maintenance.

When broken down by country, Singapore tops the list with an anticipated 18% GDP uplift worth US$110 billion, followed by Malaysia (14%, US$115 billion), Thailand (US$117 billion), Indonesia (US$366 billion), the Philippines (US$92 billion) and Vietnam (US$109 billion).

Generative AI drives the next wave

The report highlights generative AI as a key accelerator. By creating original text, images and even software code, genAI is expected to reshape customer engagement and workplace productivity.

E-commerce: hyper-targeted marketing and personalisation could raise conversion rates by 25%.,Customer support: automated solutions may cut response times by 40%.,Education technology: adaptive learning and AI-created content could improve learning outcomes by 90%.,Financial management: reconciliation processes are expected to be streamlined by 35%.,Workplace productivity: AI-generated meeting summaries and task automation may halve post-meeting follow-up time.

For Southeast Asia, where SMEs form the backbone of most economies, genAI’s ability to compress time, automate tasks and personalise experiences is particularly valuable.

Singapore’s strategic lead

Singapore has positioned itself as Southeast Asia’s AI frontrunner. Enterprise adoption reached 46% in 2024, up from 34% in 2022. Thousands of SMEs have already embraced AI-enabled forecasting and optimisation tools.

The city-state’s government was among the first globally to launch an AI governance framework. In 2024, it announced a Green Data Centre initiative to ensure AI development is paired with sustainability. Backing these ambitions, a SG$1 billion (US$773 million) fund has been earmarked for advanced chips, AI centres of excellence and research collaborations through 2029.

Such moves have pulled in global heavyweights. OpenAI chose Singapore as its APAC hub, while Microsoft opened its first Southeast Asian research lab in the city, focusing on logistics, manufacturing, finance and healthcare applications. You can learn more about how AI is recalibrating the value of data.

Malaysia emerges as an AI infrastructure hub

Malaysia, meanwhile, is positioning itself as the region’s AI infrastructure powerhouse. The country has attracted US$22 billion in commitments from Oracle, Microsoft, AWS, Nvidia and ByteDance.

Oracle is investing over US$6.5 billion in cloud and AI capabilities, while AWS is committing US$6.2 billion through 2038. ByteDance is building a MYR 10 billion AI hub alongside expanded data centres in Johor. Microsoft, too, has launched Malaysia West, its first local cloud region.

On the policy front, Malaysia’s National AI Office (NAIO), established in December 2024, is tasked with coordinating research, adoption and cross-sector collaboration. The combination of foreign capital and centralised policy signals Malaysia’s ambition to be a key AI and cloud hub for Asia. This aligns with broader trends in North Asia's diverse models of structured governance in AI.

A region on the cusp of AI-led growth

With Singapore fine-tuning governance and talent strategies, and Malaysia absorbing billions in data infrastructure investment, Southeast Asia is building the foundation for AI-led growth. The next test will be how quickly smaller economies like Vietnam, the Philippines and Thailand can scale adoption while ensuring regulation keeps pace. The World Economic Forum provides further insights into AI's impact on Southeast Asia.

If the region realises even half of the projected gains, Southeast Asia’s AI story will not just be about technology. It will be about a structural shift in how businesses operate, how services are delivered and how citizens live. For more on this, explore AI's Secret Revolution: Trends You Can't Miss.

So the question is no longer whether AI will transform Southeast Asia, but rather how evenly and how quickly that transformation will unfold.

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