Vietnam has officially passed its first dedicated AI Law (Luật AI – Law No. 134/2025/QH15), set to take effect on March 1, 2026. For companies building, deploying, or operating AI systems, this is a major step toward clearer rules of the road. For AI outsourcing providers, it’s also a new benchmark: clients will increasingly look for teams that can deliver not only performance, but also governance, safety, and traceability across the AI lifecycle.

For firms like DTS Software Vietnam, the AI Law should be viewed as both a compliance requirement and a trust signal—one that can strengthen delivery quality, reduce project risk, and improve competitiveness in AI outsourcing bids.

A quick recap: what the AI Law emphasizes

While detailed guidance will continue to evolve, several themes stand out:

• Human-centric AI: AI should serve people, and critical decisions should remain under human control.

• Human oversight: organizations must ensure meaningful human supervision and the ability to intervene when needed—especially in sensitive or high-impact contexts.

• Risk-based management: higher-risk use cases require tighter controls, stronger documentation, and more robust monitoring.

• Transparency and accountability: the law pushes toward clearer responsibility, explainability where relevant, and stronger evidence for how systems behave in real-world use.

• Transition provisions: systems already in operation before the effective date are expected to move toward compliance under a defined transition timeline.

In short, the message is clear: AI growth is encouraged, but it should be managed in a way that reduces harm, strengthens accountability, and maintains human control over critical outcomes.

Why it matters for AI outsourcing

In AI outsourcing, client expectations are changing fast. “Can you build it?” is no longer the only question. Increasingly, clients ask:

1. Is it safe to deploy—and can we prove it?

2. Who is accountable when something goes wrong?

3. What controls are in place for high-risk scenarios?

4. Can we audit decisions, data flows, and system changes?

The AI Law accelerates this shift. It will likely influence RFPs, SOWs, and vendor audits, especially for projects touching regulated or high-impact areas (e.g., finance, health, education, identity verification, or systems affecting rights and safety).

For AI outsourcing providers, this means competitive advantage will increasingly come from operational maturity—how well you handle data governance, safety testing, monitoring, documentation, and incident response.

Five “must-highlight” implications

1. Human responsibility remains central
   AI systems should not replace human authority in critical decisions.

2. Human oversight becomes a design requirement
   Projects need defined checkpoints: who reviews, who approves, and who can intervene.

3. Documentation becomes part of delivery quality
   Expect more demand for model cards, data lineage notes, risk logs, and operational runbooks.

4. Risk classification affects scope and effort
   Higher-risk use cases will require extra controls and more rigorous validation.

5. Transition planning is essential
   Ongoing systems must be mapped to new obligations, with a realistic compliance roadmap.

What this means for DTS Software Vietnam

For DTS Software Vietnam and similar AI outsourcing providers, the AI Law is an opportunity to package governance as part of value delivery:

• Lower client risk through clearer controls and documentation

• Faster vendor approvals via standardized evidence and audit readiness

• Stronger trust with Japan/global clients who already expect rigorous governance

• Long-term competitiveness as the market rewards providers that can ship AI responsibly

Vietnam’s AI Law signals a new phase for the AI market: speed matters, but safe, governed, and human-centered deployment matters more. AI outsourcing firms that prepare early—by strengthening documentation, risk management, human oversight, and human-in-the-loop workflows—will be best positioned to win client trust and scale AI delivery sustainably.