A new approach to power based on artificial intelligence (a case study of US-China competition from 2010 to 2023)

Document Type : Original Article

Author

PhD in International Relations, Kharazmi University

Abstract

Artificial intelligence is one of the important tools in shaping a new approach to power in the military, economic and social sectors. The purpose of the research is to discuss the new AI-based power approach between the US and China. The question of the article is, what is the approach of America and China in the field of using artificial intelligence? The tough competition between America and China in the field of artificial intelligence is focused on the military, defense and economic fields, and in the soft field, it is an effort to show appropriate leadership at the world level to gain international credibility and legitimacy in the coming decades. The results of the research have shown that the difficult aspects of using artificial intelligence in America include attention to trade and economy and military fields and hardware sanctions in the chip and semiconductor industry against China. In the soft sphere, the attempt is to show the weakness of China's leadership and prevent this country from gaining international credit. But in China, the hard field related to artificial intelligence is focused on urban planning, building smart cities, medical affairs, and strengthening the Chinese People's Army, and in the soft field, networking for foreign investment in different countries, including in Asia, and showing oneself. It has been considered as a discourse generator in the field of artificial intelligence. In this article, the comparative method and library tools are used, and the theoretical framework of the article is also intelligent power.

Keywords

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References

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American Strategic Studies
Volume 4, Issue 2 - Serial Number 14
Serial number 14 - Summer 2024
November 2024
Pages 91-114

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History

  • Receive Date: 23 December 1402
  • Revise Date: 10 September 1403
  • Accept Date: 20 September 1403
  • Publish Date: 31 July 2025

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