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Vietnam's AI Law Shows How Developing Nations Are Rewriting the Rulebook

Vietnam has become one of the first Southeast Asian nations to pass binding AI legislation, but its approach diverges sharply from Europe's regulatory model by prioritizing innovation incentives, state-led development, and administrative flexibility over strict compliance requirements. The law, which took effect on March 1, 2026, represents a strategic pivot toward what experts call "legislative leapfrogging," where emerging economies skip intermediate regulatory stages and jump directly to sophisticated governance frameworks tailored to their own economic goals.

Why Is Vietnam's AI Law Different From Europe's?

At first glance, Vietnam's AI Law mirrors the European Union's risk-based regulatory architecture, emphasizing human-centric AI, transparency, and accountability. But the similarities end there. While the EU AI Act functions primarily as a product safety law designed to restrict harmful AI practices, Vietnam's law operates as a developmental tool explicitly designed to accelerate the country's technological modernization and competitiveness.

The differences run deep. Vietnam's law distinguishes between AI developers, providers, and deployers, allocating compliance responsibilities based on who actually deploys the system commercially. This role-based approach acknowledges the realities of Vietnam's tech economy, where companies like VinBrain develop AI systems that other domestic firms like Vinmec Healthcare System deploy. By concentrating strict compliance obligations on the deployer rather than the developer, Vietnam creates legal flexibility that encourages startups to innovate without drowning in regulatory overhead.

The EU's approach, by contrast, consolidates developers and commercial distributors into a single regulatory category, imposing uniform compliance burdens across the entire supply chain. Vietnam's model explicitly allows exemptions and reductions of compliance obligations for domestic startups, a provision that has no equivalent in European law.

How Does Vietnam Support AI Development Differently?

  • National AI Development Fund: Vietnam established a dedicated fund to directly subsidize computing power, shared datasets, and national large language models for local businesses, a mechanism entirely absent from the EU framework.
  • Infrastructure Investment: The law emphasizes policies promoting AI infrastructure, data access, and technology transfer, positioning the government as an active participant in ecosystem development rather than a neutral regulator.
  • Workforce Development: Articles 5 and 20 of the law mandate support for AI workforce training and small and medium-sized enterprise adoption, embedding human capital development into the regulatory framework itself.
  • Market Ecosystem Promotion: The law includes a support voucher scheme that directly subsidizes GPU compute, shared data resources, and access to national large language models, effectively lowering barriers to entry for domestic AI companies.

This developmental orientation reflects Vietnam's broader strategic context. The country launched its National Digital Transformation Program in 2020 after a 14-year regulatory pause, signaling an urgent need to catch up with regional competitors like Singapore and Thailand. On December 10, 2025, the Vietnamese National Assembly passed 34 new laws in a single day, an unprecedented legislative sprint that culminated in the AI Law's passage and its implementing decree just four months later.

What Does This Signal About Sovereign AI Strategies?

Vietnam's approach reflects a broader global pattern: nations are increasingly viewing AI not as a neutral technology to be regulated, but as a strategic asset to be cultivated and controlled. This mirrors China's emerging strategy of "platform state capitalism," where government investment in AI companies like DeepSeek serves not merely to support individual firms, but to coordinate entire AI ecosystems around national technological priorities.

China's National Artificial Intelligence Industry Investment Fund, launched in early 2025 with approximately $8.2 billion in initial capital, exemplifies this approach. Rather than viewing its planned investment in DeepSeek as simple venture capital, the fund is strategically positioning DeepSeek's open-source models to optimize for domestic chips like Huawei's Ascend processors. This creates a virtuous cycle: as DeepSeek's widely-used models run better on Chinese hardware, developers worldwide have incentive to build around China's AI stack, effectively locking in demand for domestic semiconductors.

"It is therefore naive to view China's recent move to invest in DeepSeek as a simple attempt to support a national champion. Instead, China is nurturing a broader AI ecosystem and coordinating DeepSeek's product development more closely with the rest of the AI supply chain," explained Angela Huyue Zhang, Professor of Law at the University of Southern California.

Angela Huyue Zhang, Professor of Law at the University of Southern California

Vietnam's law suggests a middle path between China's state-directed approach and Europe's regulatory minimalism. By embedding innovation incentives directly into the legal framework, Vietnam aims to attract foreign investment from companies like NVIDIA, Qualcomm, and SpaceX while maintaining state influence over how AI develops domestically.

How Does This Reshape Global AI Governance?

Vietnam's legislative strategy serves multiple purposes simultaneously. First, it provides a predictable legal corridor that signals to foreign investors that Vietnam is a serious, rule-based jurisdiction for AI development. This matters for Vietnam's credibility as a trade partner under the EU-Vietnam Free Trade Agreement. Second, by codifying AI governance into binding law, Vietnam ensures that AI development becomes a statutory priority for all government ministries, not merely an aspirational goal that disappears during budget cycles.

Third, and perhaps most significantly, Vietnam positions itself as a rule-maker rather than a rule-taker in global AI governance. By becoming one of the first ASEAN nations to institutionalize AI governance through binding legislation, Vietnam could set a regional benchmark for how developing economies balance innovation, economic modernization, national sovereignty, and administrative control. This aligns with Vietnamese General Secretary To Lam's stated vision of "institutional and legal breakthroughs for the nation's rising" and his commitment to "actively and effectively participating in the development of international institutions and laws".

The contrast with the United States is instructive. While American policymakers debate whether government should acquire equity stakes in AI companies like OpenAI and Anthropic, they risk repeating the inefficiencies of state-backed semiconductor funds that preceded China's more sophisticated approach. Vietnam and China, by contrast, are moving toward integrated ecosystem strategies where government investment, regulatory frameworks, and industrial policy work in concert.

Vietnam's AI Law signals that the future of AI governance will not be determined by Brussels, Washington, or Beijing alone. Instead, developing nations are actively designing their own regulatory models, borrowing selectively from global best practices while adapting them to local economic realities. For the rest of the world, Vietnam's approach offers a template: how to regulate AI in ways that protect citizens while accelerating technological development and building genuine national capacity.