Technology Investment and New Global Growth Architecture: A Case Study of Russian Technological Sovereignty

Authors

DOI:

https://doi.org/10.63290/jhmsr.v2.i2.44

Keywords:

Technological Sovereignty, Digital Economy, Artificial Intelligence, Russia, Global Growth

Abstract

The research article explores the theory that strategic investment in technology is the main driving force of transformation that will determine 21st century economic and geopolitical structures across the globe. Going beyond the conventional factors of production, this paper suggests that national competitiveness and resilience are now characterized by control over algorithms, data and digital ecosystems. This study is done as a qualitative, single-case study to examine the explicit strategy of technological sovereignty of the Russian Federation. Through the analysis of the main policy documents, the program of the Digital Economy of the Russian Federation and the National Strategy of the Development of Artificial Intelligence, as well as official words of prominent politicians, the paper will discuss how one of the nation-states forms an internally strong and prospect-oriented model of development. The results indicate a multi-dimensional national approach that includes investments in digital infrastructure, artificial intelligence (AI), human capital building (STEM education), and the implementation of technology to achieve sustainability. Russia illustrates a holistic model in which the technological prowess is not only regarded as an economic instrument but is a national security, social development, and world power necessity in the growing multipolar world. The article concludes by saying that although the process of sovereignty has its own challenges in terms of global cooperation, strategic prioritization of technology cannot be ignored in countries that want to find their way through the complexity of the new global growth architecture.

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Author Biography

  • Sabeen Azam, National University of Modern Languages, Pakistan

    Sabeen Azam, Lecturer International Relations, National University of Modern Languages, Karachi, Pakistan 

References

Acemoglu, D., & Autor, D. (2011). Skills, tasks and technologies: Implications for employment and earnings. In O. Ashenfelter & D. Card (Eds.), Handbook of labor economics (Vol. 4, pp. 1043–1171). Elsevier.

Agrawal, A., Gans, J., & Goldfarb, A. (2018). Prediction machines: The simple economics of artificial intelligence. Harvard Business Review Press.

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.

Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company.

Creemers, R. (2022). China's conception of cyber sovereignty: Rhetoric and realization. In D. Broeders & B. van den Berg (Eds.), Governing cyberspace: Behavior, power, and diplomacy (pp. 107–133). Rowman & Littlefield.

Government of the Russian Federation. (2017). Program "Digital Economy of the Russian Federation." Approved by Government Decree No. 1632-r.

Government of the Russian Federation. (2019). National Strategy for the Development of Artificial Intelligence until 2030. Approved by Presidential Decree No. 490.

Kravchuk, O. (2025). Digital transformation of human capital management: Enhancing social mobility in the digital economy. Journal of Vasyl Stefanyk Precarpathian National University, 12(2), 80–100. https://doi.org/10.15330/jpnu.12.2.80-100

Mazzucato, M. (2013). The entrepreneurial state: Debunking public vs. private sector myths. Anthem Press.

Mueller, M. L. (2017). Will the internet fragment? Sovereignty, globalization and cyberspace. Polity Press.

OECD. (2020). Digital economy outlook 2020. OECD Publishing. https://doi.org/10.1787/bb167041-en

OECD. (2025). Artificial intelligence and competitive dynamics in downstream markets. In OECD digital economy papers. OECD Publishing. https://www.oecd.org/en/publications/artificial-intelligence-and-competitive-dynamics-in-downstream-markets_ccf0624a-en.html

OECD. (2025). Science, technology, innovation and capacity-building. In Global outlook on financing for sustainable development 2025: Towards a more resilient and inclusive architecture. OECD Publishing. https://www.oecd.org/en/publications/global-outlook-on-financing-for-sustainable-development-2025_753d5368-en.html

Parker, G. G., Van Alstyne, M. W., & Choudary, S. P. (2016). Platform revolution: How networked markets are transforming the economy and how to make them work for you. W. W. Norton & Company.

Romer, P. M. (1990). Endogenous technological change. Journal of Political Economy, 98(5), S71–S102.

Sachs, J. D. (2015). The age of sustainable development. Columbia University Press.

Schwab, K. (2017). The fourth industrial revolution. Crown Business.

Shao, B., & Wang, H. (2025). Digital economy, industrial structure advancement and human capital accumulation. Finance Research Letters, 83, 107727. https://www.sciencedirect.com/science/article/abs/pii/S1544612325009857

Solow, R. M. (1957). Technical change and the aggregate production function. The Review of Economics and Statistics, 39(3), 312–320.

Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). SAGE Publications.

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Published

2026-06-30

How to Cite

Azam, S. (2026). Technology Investment and New Global Growth Architecture: A Case Study of Russian Technological Sovereignty. Insights: Journal of Humanities and Media Studies Review, 2(2). https://doi.org/10.63290/jhmsr.v2.i2.44