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its growing digital infrastructure needs, ensuring long-term environmental and economic
sustainability.
In summary, the compatibility between Singapore and Vietnam lies more in the
logic of policy design than in resource similarity. If Vietnam can adapt and localize this
experience, AI could serve as a strategic tool to enhance productivity and drive growth
model transformation in the coming decade.
4. Conclusion
In the context of AI reshaping the global economic structure, this study has analyzed
Singapore's digital economy development model as a quintessential case of integrating AI
into a national growth strategy. The results indicate that Singapore's digital economic
growth during the 2024–2025 period is reflected not only in its increasing share of GDP
but also in a structural shift toward a knowledge, data, and digital-capability-based
economy. The fact that more than two-thirds of the digital economy's value added
originates from non-ICT sectors proves that AI has been integrated into the operational
core of the economy, generating cross-sectoral productivity spillover effects. An analysis
of the National AI Strategy 2.0 (NAIS 2.0) reveals that Singapore's success lies not in
isolated technological investments but in the design of a synchronized policy ecosystem,
encompassing the activation of application demand, human capacity development, and
the construction of infrastructure and trust-building governance mechanisms. This
approach clearly demonstrates the logic of endogenous growth, where knowledge and
technology become internal factors driving long-term productivity.
However, the transfer of the Singaporean model to Vietnam cannot follow a
mechanical replication due to differences in economic scale, resources, and institutional
capacity. The highest degree of compatibility lies in the logic of policy design rather than
specific institutional structures. Vietnam can adopt experiences in building an AI
ecosystem, supporting SMEs, developing a digital trust layer, and linking computing
infrastructure investment with sustainable development strategies. From a strategic
perspective, developing the digital economy in the AI era is not merely a matter of
technological application but one of institutional coordination capacity and long-term
policy design. If Vietnam can establish an effective inter-sectoral coordination mechanism,
enhance society's technology absorption capacity, and set up a trust-building governance
framework, AI can become a driver for productivity enhancement and growth model
restructuring in the next decade.
This study contributes to systematizing international experience and provides a
reference for policy formulation in an era where digital transformation and AI are
becoming decisive factors in national competitiveness. Nevertheless, subsequent
research should delve into quantitative analysis of AI's impact on specific sector
productivity in Vietnam to refine the empirical basis for policy recommendations.

References
[1]. Bresnahan, T. F., & Trajtenberg, M. (1995). General purpose technologies:
Engines of growth? Journal of Econometrics, 65(1), 83–
108. https://doi.org/10.1016/0304-4076(94)01598-T
[2]. Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress,
and prosperity in a time of brilliant technologies. W. W. Norton & Company.
[3]. Infocomm Media Development Authority. (2018). AI for Everyone (AI4E).
Government of Singapore.

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