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| Reconstruction of Geopolitical Discourse Power by Generative Artificial Intelligence: An Analysis from the Perspective of Technopolitics |
| WANG Ke |
| College of History and Politics, High-Level Think Tank for Promoting Local Practice of the “Two Integrations” in the Sinicization of Marxism in Guizhou Province, Guizhou Normal University, Guiyang, Guizhou, 550025 |
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Abstract From the perspective of technopolitics, generative artificial intelligence has evolved into an institutional force embedded in the distribution of discursive power, driving the competition for geopolitical discursive power from explicit games dominated by hard power to a composite game of“technology-cognition-rules”. Through two mechanisms——“explicit power transmission” and “implicit feedback reinforcement”——generative artificial intelligence reshapes the landscape of discursive power along four dimensions: knowledge production, information dissemination, cognitive shaping, and rule-making. Specifically, generative AI intervenes in the production process of policy and strategic knowledge, altering the logic of knowledge legitimacy generation; through coupling with platform algorithms, it reconstructs the allocation of information visibility; through prolonged human-machine interaction, it implicitly shapes the cognitive structures of individuals and groups; and ultimately, at the level of technical standards and governance norms, it triggers new rule-based games and institutional competition. In response to the accompanying risks such as technological monopoly, cognitive alienation, and fragmented governance, sovereign states need to adopt stratified and domain-specific institutional adjustments to prevent the formation of self-reinforcing power loops in the realms of knowledge, information, cognition, and rules. In terms of governance strategies, the following four approaches can be taken: shifting from the pursuit of “technological sovereignty” to the “configuration of critical capabilities” to implement governance of knowledge production; replacing“complete algorithmic transparency” with risk-based classification to implement governance of communication structures; transitioning from direct guidance to cultivating cognitive resilience to implement governance of cognitive shaping; and building a minimum consensus zone amid institutional fragmentation to implement governance of rule-making.
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Received: 24 October 2025
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2026, Vol. 43 
