Analyzing Technological Power Dynamics and the Evolution of Major Powers in the Global System

Abstract—The evolution of major powers in the global system has always been intricately tied to technological advancement and innovation. This paper explores the interplay between technological progress and shifts in global power dynamics, emphasizing how emerging technologies—such as Artificial Intelligence, quantum computing, biotechnology, and cyber capabilities—are redefining geopolitical hierarchies and strategic influence. The study examines historical transitions in power distribution, analyzes contemporary trends in techno-political competition, and evaluates how technological superiority shapes national security, economic growth, and international diplomacy. By employing a comparative analytical framework, the paper highlights the growing influence of digital sovereignty, data dominance, and innovation ecosystems as the new determinants of global power. The findings underscore that the 21st century’s geopolitical landscape is increasingly characterized by “techno-hegemonic” rivalry, where nations capable of leading in technological domains hold a decisive strategic edge. The paper concludes with insights into potential future trajectories of power transitions and the importance of international cooperation to ensure ethical, equitable, and sustainable technological governance.

Technological power dynamics, global system evolution, geopolitical shifts, innovation ecosystems, digital sovereignty, techno-hegemony, artificial intelligence, quantum computing, cyber power, global governance

1. R. Zhu, Q. Lou, X. Jin, X. Dai and S. Yang, "Research on the Evolution of Functional Investment Structure in Power Grid Infrastructure for New Power Systems," 2024 Boao New Power System International Forum - Power System and New Energy Technology Innovation Forum (NPSIF), Qionghai, China, 2024, pp. 717-727, doi: 10.1109/NPSIF64134.2024.10883559. [Google Scholar] [Crossref]

2. J. Chen, X. Zhao and S. Deng, "A Study on the Consumption and Emission of Sulfur Hexafluoride in China's Power System Based on System Dynamics," 2024 9th International Conference on Clean Energy and Power Generation Technology (CEPGT), Zhengjiang, China, 2024, pp. 196-204, doi: 10.1109/CEPGT64143.2024.11064789. [Google Scholar] [Crossref]

3. Z. Du, Q. Guo, X. Zhang, Q. Guo, X. Ma and X. Wu, "Research on Assessment Method of Regional Power Carbon Emission Reduction Potential," 2024 4th International Conference on Energy Engineering and Power Systems (EEPS), Hangzhou, China, 2024, pp. 1327-1331, doi: 10.1109/EEPS63402.2024.10804323. [Google Scholar] [Crossref]

4. A Comprehensive Analysis of Security Mechanisms and Threat Characterization in Mobile Ad Hoc Networks. (2025). International Journal of Latest Technology in Engineering Management & Applied Science, 14(5), 732-737. https://doi.org/10.51583/IJLTEMAS.2025.140500079. [Google Scholar] [Crossref]

5. P. Li et al., "Research on Investment Benefit Analysis of Power Grid Considering Power Grid Operation Efficiency," 2025 2nd International Conference on Artificial Intelligence and Digital Technology (ICAIDT), Guangzhou, China, 2025, pp. 452-455, doi: 10.1109/ICAIDT66272.2025.00095. [Google Scholar] [Crossref]

6. W. Li, D. Cai, J. Liu and J. She, "Technological Innovation Trends and Development Prospects of Standard-Essential Patents in Interoperability of New-Type Power Systems," 2025 6th International Conference on Electrical, Electronic Information and Communication Engineering (EEICE), Shenzhen, China, 2025, pp. 336-342, doi: 10.1109/EEICE65049.2025.11034210. [Google Scholar] [Crossref]

7. W. Dan et al., "Study on Optimal Configuration of Dynamic Reactive Power Compensation for AC and DC Power Network," 2024 9th Asia Conference on Power and Electrical Engineering (ACPEE), Shanghai, China, 2024, pp. 511-516, doi: 10.1109/ACPEE60788.2024.10532291. [Google Scholar] [Crossref]

8. B. Qi et al., "Analysis of the Impact of Reactive Power Control of Energy Storage Equipment on Voltage Stability," 2024 6th International Academic Exchange Conference on Science and Technology Innovation (IAECST), Guangzhou, China, 2024, pp. 1263-1267, doi: 10.1109/IAECST64597.2024.11117767. [Google Scholar] [Crossref]

9. Optimization of Graph Neural Networks for Real-Time Intrusion Detection in Dynamic Mobile Ad-Hoc Networks”, Int. J. Environ. Sci., vol. 11, no. 11s, pp. 740–748, Jun. 2025, doi: 10.64252/79452g17. [Google Scholar] [Crossref]

10. P. Khlupin, R. Aflyatunov and P. Vasilyev, "Efficient Power Control System for the Induction Heating System," 2024 Dynamics of Systems, Mechanisms and Machines (Dynamics), Omsk, Russian Federation, 2024, pp. 1-6, doi: 10.1109/Dynamics64718.2024.10838700. [Google Scholar] [Crossref]

• Decision Tree and Automatic Linear Modeling Approaches to Predict Body Weight in Indigenous Sabi Sheep and Matebele Goat Females of Zimbabwe
• Microcontroller – Based Automatic Railway Crossing Control and Track Obstacle Monitoring System
• Modelling the Role of Absorptive Capacity in Foreign Direct Investment - Economic Growth Nexus: A Focus on South Africa’s Manufacturing Sector
• AI-Powered Wristband for Accurate BAC Monitoring Using Smart Data Fusion
• Climate Change Impacts on Different Regions