The expansion of China’s AI industry into Southeast Asia has moved well beyond datacenter announcements. What is emerging is a denser form of technological integration, combining cloud infrastructure, model deployment, hardware sourcing, and policy engagement in ways that are starting to shift the technology dependency calculus for governments across the region.
Huawei Cloud has reported 30-fold growth in Southeast Asia, a figure that reflects how aggressively the company has positioned itself in markets where Western sanctions have limited its options at home and created incentive to build overseas. Alibaba Cloud has followed a parallel trajectory: establishing its second datacenter in Thailand in February 2025, launching a third datacenter in Malaysia in July 2025, and embedding its AI infrastructure in countries that are themselves accelerating digital transformation investment. A Southeast Asian cloud firm is currently installing 36,000 advanced AI chips, a procurement scale that signals infrastructure investment well beyond basic cloud services.
Thailand and the EEC Gateway
Thailand has been particularly active in pursuing Chinese technology partnerships. The country’s Eastern Economic Corridor project, a government-designated economic development zone, has formally identified Chinese investment in green industry and emerging technologies, including AI, as a strategic priority. Angsutorn Wasusun, the executive director overseeing the bio-circular-green economy program at the EEC Office, told attendees at IE Expo China 2026 in Shanghai: “We are very impressed with Chinese technology.” The comment, made in a formal pitch to Chinese investors, reflects how Thailand’s government is framing the technology relationship at the highest institutional level.
The EEC framing is important because it channels Chinese AI infrastructure investment into a designated zone with streamlined approvals, infrastructure support, and government backing, making Thailand a more structured entry point than a purely market-driven approach would allow. The zone model also creates political cover for deepening the relationship, since investments are categorized as economic development rather than technology alignment.
The Lock-In Dynamic
The structural concern about China’s AI infrastructure expansion in Southeast Asia is dependency creation. The Diplomat documented in June 2025 how Chinese AI systems create a “locked-in effect” in countries that adopt them. Once an enterprise or government agency has integrated Chinese cloud services, AI models, and associated data infrastructure, switching costs become substantial. Model fine-tuning, data formats, API dependencies, and staff training all create friction that makes transitions away from an established provider expensive and disruptive. The effect compounds over time: more deployment creates more integration, and more integration creates more switching cost.
China’s AI governance strategy in Southeast Asia extends to research centers, policy forums, and elite training programs , instruments of soft power that reinforce the commercial relationships being built by Huawei Cloud and Alibaba Cloud. The combination creates a multi-layered presence that goes beyond commercial competition and into institutional influence.
China’s broader AI exports to the global south through accessible chips and models have already established a pattern: products that may not match the frontier capabilities of US alternatives but are accessible, affordable, and increasingly backed by local datacenter infrastructure. Southeast Asia is where that pattern is most visibly consolidating into something resembling a regional technology ecosystem.
The Hardware Acquisition Angle
The Southeast Asia AI story has a second dimension: the region has become a significant channel for China’s acquisition of chipmaking equipment. Nikkei Asia reported in April 2026 that China’s imports of chipmaking equipment from Malaysia and Singapore surged in 2025, surpassing those from the United States. The pattern suggests that Chinese firms are using Southeast Asian intermediaries to access equipment that would face tighter scrutiny if procured directly from the originating countries.
The dual function, Southeast Asia as AI infrastructure export market and as hardware acquisition corridor gives the region strategic weight in the US-China technology competition. For Southeast Asian governments navigating between their largest trading partner and their security relationships with the United States, that dual weight creates genuine policy complexity that commercial diplomacy alone cannot resolve. The infrastructure investments being made now will shape those governments’ technology options and political leverage for a decade or more, a time horizon that most current policy discussions fail to adequately address.
How Southeast Asian governments balance near-term infrastructure needs against long-term technology sovereignty will shape regional digital alignment in ways that are difficult to reverse once the dependencies are established. The infrastructure investments being made now will shape those governments’ technology options and political leverage for a decade or more, a time horizon that most current policy discussions fail to adequately address and that Beijing appears to be thinking about more systematically than its regional counterparts.