Taiwan and China’s Provinces Deepen AI Footprint in Southeast Asia

The race to shape Southeast Asia’s AI landscape is intensifying, with Taiwan and several Chinese provinces stepping up their regional presence through infrastructure projects, software deployments and government partnerships. Taiwan this week inaugurated a sovereign AI data center powered by Nvidia‑based supercomputing, underscoring its ambition to secure domestic AI capabilities while serving as a regional provider of advanced compute. The facility, which began construction in 2023, is slated to scale to around 13.4 megawatts of capacity between 2025 and 2028.​

The new center is designed to support both public‑sector and private‑sector workloads, offering cloud‑based AI services for industries ranging from manufacturing and logistics to healthcare and finance. Officials say the project is central to ensuring data security, supporting local language models and reducing dependence on foreign hyperscale providers for sensitive use‑cases. It also dovetails with broader industrial‑policy efforts to keep more of the AI value chain—from chips to software—within Taiwan’s ecosystem.​

At the same time, Chinese provincial governments and companies are expanding AI‑linked engagements with Southeast Asian states, including Malaysia, Indonesia and Thailand. Recent reporting highlights how one heavily industrialized province has developed AI systems, including chatbots, for the Malaysian government, illustrating how technology exports can intertwine with influence over digital governance and citizen‑facing services. Analysts argue that such projects can deepen dependencies if local agencies lack the capacity to audit algorithms or negotiate data‑use terms on an equal footing.​

For Southeast Asian governments, the influx of AI infrastructure and services from Taiwan, mainland China and Western cloud providers presents both an opportunity and a strategic dilemma. Access to affordable compute and ready‑made applications can accelerate digital‑government initiatives and private‑sector innovation, but raises questions about data sovereignty, cybersecurity and long‑term vendor lock‑in. Policymakers are increasingly urged to adopt clear national AI strategies, diversify partners and develop in‑house expertise so they can better set the terms of engagement.​

The interplay between sovereign AI initiatives like Taiwan’s, cross‑border projects from Chinese provinces and domestic efforts in ASEAN states will help determine who sets technical standards and governance norms in the region. If Southeast Asian countries manage to coordinate their positions and invest in local capacity, they could leverage external offers to build a more balanced and interoperable AI ecosystem. If not, the region risks becoming primarily a battleground for competing external models and infrastructures, with limited ability to shape outcomes to its own advantage.