Essential Elements for AI Development in Vietnam
Vietnam’s path to developing indigenous AI technology depends heavily on its domestic science and technology resources. While the country has a substantial pool of scientists, there are challenges that must be addressed to fully leverage this potential. Many scientists grew up in environments that limited practical application, although they possess strong foundational knowledge. Meanwhile, younger Vietnamese professionals trained abroad bring valuable exposure to modern technologies and practical experience but often lack systemic organization and sometimes shift away from science upon returning home.
Current Talent Pool Assessment
The main issue lies not in the number of scientists but in how mechanisms, policies, and organizations support their work. The existing workforce doesn't yet meet the breakthrough demands of today’s economy, largely due to outdated structures and insufficient utilization of talent. Bridging the gap between foundational expertise and application-oriented thinking is critical.
Attracting International Talent
Bringing in global experts is possible, but meaningful AI progress requires strong internal capabilities first. A capable local team is essential to absorb knowledge, collaborate, and build upon international expertise. To attract top talent, Vietnam should implement flexible visa and work permit policies and back long-term, impactful projects. Proper funding and clear research goals will also play a significant role.
Building Internal Capacity in AI
- Focus on Socio-Economic Problems: Science and technology efforts must address real societal and economic issues.
- Review Mechanisms and Policies: Update frameworks to enhance public-private collaboration and access between businesses, universities, and research institutes.
- Improve Organizational Structures: Many research institutions operate inefficiently, leading to talent loss and short-term results that lack lasting impact.
- Invest in Human Resource Development: Modernize curricula and training methods to align with future needs and sustain growth in science and technology.
Addressing these areas simultaneously will create a foundation for meaningful AI development.
Building a Data Foundation for AI
Data is the lifeblood of AI, yet Vietnam faces significant challenges with fragmented and disconnected data sources. Without integration, data cannot generate valuable insights. Furthermore, data is often underutilized due to strict protection policies aimed at privacy and security. With systematic regulations, sensitive data can be anonymized or encrypted, enabling safe and effective use.
Collaboration with Global Tech Giants
Collaboration with international technology companies requires Vietnam to present clear value propositions supported by solid markets, mechanisms, and policies. Identifying precise problems and aligning national strategies will enable productive partnerships that address specific needs.
Strategic Orientation and Cooperation
Science and technology should be treated as national priorities requiring coordinated efforts and measurable goals. Vague objectives like “AI development” without clear outcomes risk wasted investment and missed opportunities. Projects must be specific, feasible, and accountable to ensure progress.
Lessons from China’s AI Development
China’s long-term view of science and technology as a strategic driver has paid off. Their formal recognition of this role decades ago contrasts with Vietnam’s more recent policy formalization. China’s comprehensive planning, integration across sectors, and collaboration with large domestic companies have propelled its AI advancements.
Vietnam can learn from China’s approach by developing an overarching vision that fosters interdisciplinary cooperation and structured talent pipelines. While wholesale copying is neither feasible nor advisable, tailoring these lessons to Vietnam’s context is essential for sustainable growth.
For professionals interested in expanding their AI expertise, exploring structured learning paths can be beneficial. Resources like Complete AI Training’s latest AI courses provide practical skills aligned with current industry demands.
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