On August 11, 2026, Vietnam's government formalized a national commitment to weave artificial intelligence into the fabric of its workforce and educational system — not as a privilege for the few, but as a foundation for all. Deputy Prime Minister Lê Tiến Châu signed a programme stretching to 2030 and beyond, one that treats AI fluency the way earlier generations treated basic literacy: as the minimum condition for full participation in society. The ambition is not merely economic competitiveness, but a deliberate reckoning with who gets left behind when technology reshapes the nature of work.
Vietnam approves national AI workforce development plan through 2035
AI competency becomes a baseline skill across the entire workforce
Mark
Why does Vietnam need 10,000 highly qualified AI specialists when most countries are still figuring out what AI education looks like?
Mimi
Because they're not betting on AI as a luxury or a nice-to-have. They're treating it as essential to national competitiveness and self-reliance. If you don't build that expertise domestically, you're dependent on foreign companies and foreign talent.
Mark
But 50,000 professionals trained in AI applications—that's a huge number. Where do those people come from?
Mimi
Partly from retraining existing workers, partly from new graduates. The idea is that someone with an engineering degree or a business degree can be upskilled in AI methods. It's not starting from zero.
Mark
The programme mentions workers at risk of displacement by automation. Isn't that contradictory—pushing AI while protecting people from AI?
Mimi
Not really. It's acknowledging that automation will displace some jobs. The programme is saying: we're going to push AI anyway, but we're going to make sure displaced workers get access to retraining so they can move into new roles. It's damage control built into the strategy.
Mark
What does it mean that every higher education institution has to adopt regulations on AI use in teaching and research?
Mimi
It means the government is saying: you can't just let professors and researchers use AI however they want. There need to be rules about academic integrity, about how AI is used in grading, about what counts as original work. It's trying to prevent chaos while still allowing innovation.
Mark
By 2035, AI becomes foundational to governance itself. That's a big claim.
Mimi
It is. It means AI systems will be involved in how government makes decisions, allocates resources, delivers services. That requires not just technical expertise but also people who understand the risks—bias, security, accountability. That's why they're training so many specialists.
The Pulse
- Vietnam faces a narrowing window to prepare its workforce before automation displaces workers faster than retraining programs can absorb them.
- The scale of disruption is enormous — the programme must simultaneously transform general schools, universities, vocational centers, and the civil service, all by 2030.
- Concrete targets anchor the effort: 50,000 AI-capable professionals, 10,000 advanced specialists, and universal AI competency among higher education students and public employees.
- Every university in the country must now embed AI governance into its teaching, research, and assessment practices, with at least 25 institutions designated as national innovation hubs.
- Vulnerable groups — rural learners, women in tech, workers facing automation, and people with disabilities — are explicitly named as priorities, signaling that inclusion is policy, not afterthought.
- The programme's credibility now rests on execution: qualified instructors, industry partnerships, shared computing infrastructure, and regulations that enable rather than obstruct.
On August 11, 2026, Vietnam's government formalized a national commitment to weave artificial intelligence into the fabric of its workforce and educational system — not as a privilege for the few, but as a foundation for all. Deputy Prime Minister Lê Tiến Châu signed a programme stretching to 2030 and beyond, one that treats AI fluency the way earlier generations treated basic literacy: as the minimum condition for full participation in society. The ambition is not merely economic competitiveness, but a deliberate reckoning with who gets left behind when technology reshapes the nature of work.
On August 11, 2026, Vietnam's Deputy Prime Minister Lê Tiến Châu signed a national programme to fundamentally reshape how the country's workforce learns and works with artificial intelligence — with targets running through 2030 and a broader vision extending to 2035.
The goals are specific and demanding. By 2030, at least 80 percent of general education students must gain competency in safe and effective AI use, rising to 100 percent for higher education students. Among working adults, 90 percent of civil servants and all education staff are expected to meet AI literacy standards. These figures represent a redefinition of what the Vietnamese state considers essential knowledge for civic and economic life.
On the specialist side, the programme targets 50,000 professionals with undergraduate degrees or higher capable of applying AI across strategic sectors — manufacturing, healthcare, finance — alongside 10,000 advanced researchers and engineers. Of those, at least 1,500 are expected to lead major research initiatives and master core AI technologies.
The educational infrastructure to support this is equally ambitious. Every higher education institution must adopt regulations governing AI use in teaching and assessment. At least 10 specialized AI research centers and 25 university innovation hubs are to be established, distributing expertise across the country rather than concentrating it in elite institutions.
Critically, the programme explicitly names those most at risk: workers threatened by automation, rural learners, women entering technology fields, and people with disabilities. Vietnam's leadership has framed AI adoption as a social challenge as much as a technical one, acknowledging that without deliberate inclusion, productivity gains could widen existing inequalities.
By 2035, AI competency is envisioned as a baseline skill across the entire workforce — as ordinary as literacy once became. Whether that vision holds will depend on the harder, slower work of training qualified instructors, forging university-industry partnerships, building shared computing infrastructure, and crafting policy that supports rather than stifles the transformation.
Vietnam has committed to a sweeping overhaul of how its workforce learns and works with artificial intelligence. On August 11, 2026, Deputy Prime Minister Lê Tiến Châu signed a national programme designed to reshape education and employment across the country through 2030, with ambitions extending to 2035. The plan is ambitious in scope: it aims to embed AI literacy into every level of schooling, retrain tens of thousands of professionals, and position the country as a regional leader in AI human resources development.
The core targets are specific and measurable. By 2030, Vietnam expects at least 80 percent of general education and university preparatory students to gain competency in safe and effective AI use. That figure rises to 100 percent for higher education students and 80 percent for vocational learners. Among the working population, the programme targets 90 percent of civil servants and public employees, and 100 percent of education and training staff. These are not modest goals—they represent a fundamental shift in what the state considers essential knowledge for participation in the economy and civic life.
The programme also sets concrete numbers for specialized training. Vietnam aims to develop at least 50,000 professionals with undergraduate degrees or higher who can apply AI in strategic sectors—everything from manufacturing to healthcare to finance. Beyond that cohort sits a smaller, more elite group: 10,000 highly qualified AI personnel, including researchers and engineers capable of building and managing advanced systems. Of those, at least 1,500 are expected to master core AI technologies and lead major research initiatives. These specialists represent the intellectual backbone the country believes it needs to compete globally.
Educational infrastructure will be the vehicle for this transformation. Every higher education institution in the country must adopt regulations governing how AI is used in teaching, research, and assessment. The programme calls for establishing at least 10 advanced, specialized AI training and research centers, along with 25 universities designated as hubs for AI innovation and education. This distributed network is meant to ensure that AI expertise is not concentrated in a handful of elite institutions but spread across the country's educational landscape.
The programme also recognizes that technological change creates winners and losers. It explicitly prioritizes vulnerable populations: workers whose jobs are threatened by automation, learners in disadvantaged rural areas, women entering technology fields, and people with disabilities. The language suggests that Vietnam's leadership understands AI adoption as a social challenge, not merely a technical one. Without deliberate effort to include these groups, the benefits of AI-driven productivity could deepen existing inequalities.
By 2035, the vision becomes even more expansive. AI competency is expected to become a baseline skill across the entire workforce, as ordinary as literacy. The technology is meant to become foundational to how the country learns, works, produces goods, conducts business, and governs itself. This is not a plan to create a small cadre of AI experts while the rest of the population remains passive consumers of the technology. It is a plan to make AI fluency a prerequisite for meaningful participation in Vietnamese society.
The programme's success will depend on execution across multiple fronts: developing teachers qualified to instruct AI concepts, building partnerships between universities and industry so training matches actual job market needs, creating shared computing infrastructure and datasets for hands-on learning, and ensuring that the institutional framework—the policies and regulations—actually supports rather than hinders innovation. Vietnam has set the targets. Now comes the harder work of meeting them.
Notable Quotes
The programme aims to make AI competency a widespread skill among the workforce and a foundational technology driving learning, work, production, business and national governance by 2035.— Vietnam's national AI human resources development programme
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