RSIS: “China-Shedding” Is Reshaping Southeast Asia’s AI Regulatory Landscape

The term “China-shedding” has emerged recently to describe a strategic shift among Chinese-origin artificial intelligence (AI) companies relocating their headquarters offshore. This trend is primarily driven by Beijing’s increasingly stringent regulatory environment and national security concerns. According to a detailed analysis by Stefanie Kam at the S. Rajaratnam School of International Studies (RSIS) at Nanyang Technological University in Singapore, this relocation is not simply about commercial expansion but about recalibrating corporate identity and regulatory exposure to navigate geopolitical and legal complexities.

One prominent example is the National Development and Reform Commission’s (NDRC) order to Meta to reverse its $2 billion acquisition of Manus, citing national security concerns despite Meta’s assertion that the transaction complied fully with applicable laws. This decision underscores Beijing’s heightened sensitivity around AI-related foreign investments and cross-border control over core technologies. The RSIS report highlights four critical Beijing concerns in evaluating such deals: the provenance of research and development, control over technical cores, the mobility of key talent who carry intellectual property (IP), and risks related to regulatory arbitrage.

This has led many Chinese AI firms to establish headquarters outside mainland China in cities like Singapore and Dublin. The goal is to appear more global and less entangled in China’s domestic regulatory framework, which some perceive as unpredictable or restrictive. This phenomenon differs from typical corporate offshoring because, in AI, the core asset is not just a finished product but the research capacity itself—the scientists, the model know-how, the proprietary data, and the compute resources.

Implications for Southeast Asia’s AI Regulatory Landscape

The “China-shedding” trend presents both opportunities and challenges for Southeast Asia, which is becoming a growing hub for AI innovation and investment. Countries such as Singapore, Malaysia, Vietnam, and the Philippines now face a complex regulatory environment shaped by the presence of these offshore Chinese-origin AI firms. While attracting these companies can bring capital, technological know-how, and jobs, it also raises concerns over technology transfer, data sovereignty, and compliance with international export controls.

Singapore, for example, has become a favored location for Chinese AI firms to anchor their global operations. However, the RSIS report cautions that Singapore risks becoming an unwitting conduit for Chinese firms to access restricted advanced chips, cloud infrastructure, AI models, and sensitive data originating from the United States and other Western countries. Malaysia, with its growing data center industry, also faces the challenge of ensuring that its infrastructure is not exploited for unauthorized chip procurement or illicit technology transfers. Vietnam’s manufacturing plants, often integrated with Chinese supply chains, could mask inputs that complicate enforcement of export and investment controls. The Philippines’ complex alliance politics add another layer of sensitivity to foreign-controlled digital assets.

To address these challenges, RSIS recommends that ASEAN countries adopt a “Trusted Investment Checklist” specifically tailored for AI and digital firms. This checklist would assess provenance, control, talent mobility, and regulatory risks before approving investments or mergers. Additionally, the establishment of an ASEAN Working Group on AI Governance, chaired by Singapore’s Infocomm Media Development Authority (IMDA), is proposed to develop a “Trusted AI Investment Protocol.” This regional framework would aim to harmonize standards, improve transparency, and secure critical AI supply chains while fostering innovation.

Beijing’s Securitization Approach and Global AI Governance

The Chinese government’s approach to “China-shedding” exemplifies its willingness to securitize even commercially compliant offshore AI firms if they are perceived to pose a risk to national security. This stringent posture contrasts with a more laissez-faire or commercially driven approach seen in other jurisdictions. Beijing’s readiness to intervene in overseas investments illustrates a broader trend towards treating AI technology as a strategic asset tightly controlled under national security law.

This stance complicates the global governance of AI, especially as Washington and Beijing compete for influence over the rules and standards that will shape AI’s future. The RSIS analysis points out that the United States is unlikely to allow Beijing to write the rules for global AI consolidation, given the strategic and security implications. US policymakers are increasingly wary of Chinese-origin AI firms operating offshore as potential vectors for technology transfer, espionage, or circumvention of export restrictions.

The situation highlights a geopolitical struggle over AI supply chains, talent, and intellectual property. It also underscores the need for international cooperation among democratic and like-minded countries to develop robust AI governance frameworks that balance innovation with security. This dynamic is further complicated by the fact that many Chinese AI firms are already deeply integrated into global digital ecosystems, making disentanglement difficult.

Regional Responses and Future Outlook for ASEAN

As Southeast Asia navigates this complex landscape, the region’s regulatory frameworks will need to evolve rapidly. The emergence of “China-shedding” firms offshore creates a regulatory gray zone that challenges traditional investment and technology control mechanisms. ASEAN countries must balance attracting foreign investment and technological advancement with safeguarding national security and data sovereignty.

Singapore’s leadership in chairing the ASEAN Working Group on AI Governance could prove pivotal in establishing regional norms and protocols that address these challenges. By developing a Trusted AI Investment Protocol, ASEAN can create a unified front that enhances its collective bargaining power and regulatory coherence. This initiative aligns with broader trends in China’s AI industry, which is rapidly growing in sophistication and scale, as discussed in our recent coverage of China’s AI infrastructure exports and semiconductor ambitions.

Moreover, this regional regulatory effort is timely given the broader context of AI governance debates, including China’s evolving approach to responsible AI and comparisons with the US regulatory environment.

Navigating the Complexities of AI Globalization

“China-shedding” encapsulates a pivotal moment in the globalization of AI technology and its governance. Chinese AI firms’ offshore relocations reflect a strategic adaptation to regulatory pressures and geopolitical friction, with significant implications for Southeast Asia’s AI ecosystems. ASEAN countries stand at a crossroads where they must devise innovative regulatory frameworks that protect security interests without stifling technological progress.

The development of trusted investment protocols and regional cooperation on AI governance can help ASEAN countries manage the risks associated with offshore Chinese AI firms effectively. This approach also contributes to a broader global effort to establish balanced, transparent, and secure AI supply chains. As AI continues to reshape economies and societies, the interplay between national security and technological openness will remain a defining challenge for policymakers worldwide.

For further insights into the evolving AI landscape in China and Asia, readers can explore coverage on the impact of AI on labor markets, infrastructure, and industrial robotics on EastFrontier. Understanding these dynamics is essential to grasp the full picture of how AI is transforming the region and what the future holds for governance and innovation.