Page 106 - ISC PROCEEDINGS 21.4
P. 106

limited secure-sharing mechanisms. Without a national AI data platform, AI tools are
                  confined to narrow, siloed applications that cannot generate the systemic TFP multipliers
                  observed in more data-integrated economies. The updated National AI Strategy (2025)
                  explicitly frames the national AI supercomputing center and open data platform as
                  strategic infrastructure investments analogous to electricity networks. ERIA (2023)
                  similarly notes that Vietnamese firms need comprehensive support across all stages of
                  digital transformation, including data management and interoperability standards.
                        Institutional and regulatory gaps form the third constraint, though one now being
                  rapidly addressed. The previous absence of a coherent AI legal framework, with AI-
                  relevant provisions scattered across dozens of laws, created investment uncertainty that
                  inhibited large-scale AI transformation and constituted a documented barrier to AI-sector
                  FDI (Tilleke, 2025). Vietnam's first AI Law (Law No. 134/2025/QH15, effective March 1,
                  2026), built around six core principles, risk-based regulation, transparency, human-centric
                  development, domestic AI autonomy, sustainable growth, and digital sovereignty, directly
                  addresses this gap by providing the legal certainty that large-scale, TFP-generating AI
                  investment requires.
                        4.4. Opportunities, challenges, and the transformative policy environment (2024-
                  2026)
                        Vietnam's AI-productivity trajectory is shaped by a constellation of structural
                  opportunities and systemic challenges that must be analyzed simultaneously.
                        On the opportunity side, four structural advantages create genuinely favorable
                  conditions for AI-led TFP acceleration toward 2030. First, Vietnam's young, digitally
                  engaged population, exhibiting Southeast Asia's highest AI interaction rates (81% daily,
                  83% actively upskilling), constitutes a uniquely fertile environment for AI-augmented
                  productivity growth, provided skills gaps are addressed (Google, Temasek, & Bain &
                  Company, 2025). Second, strategic industrial repositioning toward semiconductor design
                  and advanced manufacturing, evidenced by 170+ foreign-invested semiconductor
                  projects worth USD 11.6 billion including Intel, Amkor, and Hana Micron (VNA, 2025a),
                  creates upstream conditions for domestically generated AI innovation and TFP-enhancing
                  technology transfer. Third, Politburo Resolution No. 57-NQ/TW (December 22, 2024)
                  establishes an unprecedented policy commitment: science, technology, innovation, and
                  digital transformation are declared the foremost critical breakthrough and primary driving
                  force for modern productive forces, with mandated minimum 15% of state science
                  budget for strategic technology research, a Strategic Industry Development Investment
                  Fund prioritizing AI, semiconductors, quantum technology, and robotics, and regulatory
                  sandbox mechanisms for strategic technology R&D. Vietnam's 2026 budget allocation of
                  VND 95 trillion (USD 3.6 billion) for science, technology, and digital transformation is
                  historically unprecedented (Hanoi Times, 2025). Fourth, the National Assembly's 2026
                  socio-economic targets, GDP growth of at least 10% and labor productivity growth of
                  8.5%, create an accountability framework that makes AI-TFP contribution measurable and
                  politically salient.
                        The principal challenges involve: (1) the risk of AI-driven labor market disruption in
                  informal sectors and agricultural communities where 61% of workers lack adequate social
                  protection against displacement; (2) widening productivity gaps between large AI-capable
                  enterprises and the 97% of businesses that are SMEs with limited AI investment capacity;
                  (3) geopolitical uncertainty around AI supply chains, particularly semiconductor access
                  restrictions and AI data infrastructure security; and (4) the institutional bandwidth


                  105
   101   102   103   104   105   106   107   108   109   110   111