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In recent decades, advancements in artificial intelligence (AI) technology and its expanding applications in human life have brought about extensive transformations across various sectors, particularly in the economic sphere. This has significantly heightened the importance of developing this technology for major global powers. Mineral resources serve as the essential raw materials for manufacturing AI-related hardware; consequently, access to these resources is crucial for nations and companies active in this field. Within the geopolitical competition to acquire these mineral resources, the means of controlling and accessing them can be utilized as leverage to exert pressure and impose restrictions on the development of AI technologies. Consequently, countries possessing these resources are pursuing stockpiling and even exploiting resources from other nations to not only increase their own influence and control but also to secure their future access to these materials.
This study is applied research conducted using a descriptive-analytical method. The main research questions are: What role do mineral resources play in the development of AI technology, and how does the geopolitical competition among great powers for acquiring these resources unfold? Based on the research findings, mineral resources, as critical raw materials for manufacturing equipment and a source of capital, significantly impact the production of AI technology hardware. The competition among great powers for these mineral resources often manifests through strategies such as stockpiling, price manipulation, and resource processing. The results indicate that access to, control over, and supervision of the mineral mines used in AI hardware production enable major powers like the United States and China not only to influence the global trajectory of this technology's development and utilization but also to prevent the entry of rival actors into this arena or diminish their potential role.
 

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Along with different states Economic policies in post-revolutionary Iran, have followed more or less the same path; in such a way that today, important parts of Iran's economy are trying to reproduce a non-competitive and non-preferential environment. Therefore, it is necessary to study the mechanisms governing the Iranian economy due to the decline in economic indicators. In this regard, the present study, using the method of discourse analysis and using semi-structured interviews, first explores and extracts the most important issues related to the current political economy of Iran and then, using the paradigm model has developed an appropriate strategy for the optimal management of the economy. The results show that the most important categories related to the current defective economy are the spatial distribution of power, the rentier state, and the underdevelopment of the social sector, the Dutch disease, sanctions, as well as epistemological ignorance and methods. Cognition of international political economy. Among these, the two factors of space nationality in Iran and the state's reliance on non-productive resources have caused states in Iran to become anti-geographic. In addition, the proposed strategy for the optimal management of Iran's political economy in the framework of the actor-network theory is to construct a central category of the social economy network, which by creating a balance and exchange between the concepts of society, economy and state, it leads Iran's political economy to spatial fluidity and a production-competitive economy.