Vietnam is racing to position itself as a serious player in the global artificial intelligence arena, but a new report from Vietnam.vn makes one thing clear: the country cannot move forward without first solving its AI governance puzzle. As the nation pushes to "catch up and catch up" with regional tech leaders, experts argue that a robust regulatory framework is no longer optional — it is the foundation for sustainable growth.

The call comes amid a broader regional push for AI leadership, where countries like Singapore and China are aggressively shaping policy. For Vietnam, the challenge is not just about building computing power or attracting talent; it is about creating rules that foster innovation while protecting citizens and businesses.

Why AI Governance Matters for Vietnam's Ambitions

Vietnam has set ambitious goals to become a high-income economy by 2045, and AI is seen as a critical lever. However, without clear governance, the country risks falling into a trap of fragmented development — where pilot projects stall, foreign investment hesitates, and public trust erodes.

Governance here means more than just drafting laws. It involves establishing ethical guidelines, data privacy standards, and accountability mechanisms for AI systems. The report emphasizes that Vietnam needs a cohesive strategy that aligns with international norms but is tailored to its local context.

Key areas that demand immediate attention include:

  • Data sovereignty: Who owns and controls the data that fuels AI models?
  • Algorithmic transparency: How can citizens challenge decisions made by AI?
  • Cross-border collaboration: How will Vietnam align with global AI standards?
  • Workforce transition: What happens to workers displaced by automation?

The 'Catch Up' Trap: Speed vs. Stability

The phrase "catch up and catch up" reflects a dual pressure: catching up with technological leaders and catching up on regulatory gaps. But moving too fast without proper governance could lead to costly mistakes. The report warns that rushing AI deployment in sectors like finance, healthcare, or public services could create systemic risks.

For example, if Vietnam adopts AI for credit scoring or medical diagnosis without clear liability rules, it could face legal chaos and public backlash. On the other hand, over-regulating could stifle innovation and drive startups to more permissive jurisdictions.

Lessons from Regional Neighbors

Vietnam can look to its neighbors for guidance. Singapore has adopted a pragmatic, risk-based approach, while China uses a more centralized model. Vietnam's path likely lies somewhere in between — a framework that is strict on safety but flexible enough to allow experimentation.

The report notes that Vietnam has already made some progress, with initial policy documents and pilot programs in place. However, these efforts remain fragmented across ministries and lack a unified vision.

What Needs to Happen Next

To move from talk to action, Vietnam needs to take concrete steps. First, it should establish a dedicated AI governance body that coordinates across government, industry, and academia. Second, it must prioritize data infrastructure and cybersecurity, as these are the backbone of any AI system. Third, it should launch public consultations to build trust and gather input from all stakeholders.

International cooperation is equally vital. By joining global frameworks on AI ethics, Vietnam can gain access to best practices and avoid reinventing the wheel. This also signals to foreign investors that the country is a safe and predictable environment for AI innovation.

Ultimately, the goal is not just to catch up in technology, but to do so responsibly. The report concludes that Vietnam has a unique opportunity to leapfrog — but only if it gets governance right from the start.

Conclusion: Governance Is the Launchpad

Vietnam's AI future hinges on a paradox: to move fast, it must first slow down and build the right rules. The report from Vietnam.vn makes it clear that governance is not a bureaucratic hurdle but a strategic enabler. Without it, "catching up" will remain an aspiration rather than a reality.

For policymakers, the message is simple: invest in governance as seriously as you invest in chips and algorithms. For the private sector, the opportunity is to engage early in shaping these rules. And for the public, the promise is an AI ecosystem that is innovative, fair, and secure.