This chapter positions political geography as a critical lens through which to investigate the rise of cyberlibertarian post-Westphalianism—a phenomenon shaped by Web3 infrastructures, GenAI systems, and decentralized techno-politics. Building on sustained fieldwork in Silicon Valley since August 2022 and prior research, the chapter interrogates how libertarian ideologies embedded in Web3 are reconfiguring notions of sovereignty, governance, and socioeconomic coordination. It compares three paradigmatic formations: Network States (Srinivasan), rooted in crypto-libertarianism; Network Sovereignties (De Filippi), grounded in commons-based governance; and Algorithmic Nations (Calzada), emphasizing cultural self-determination and data sovereignty. Engaging with critical voices such as Jarrad Hope and David Golumbia, the chapter reveals the ideological tensions at the core of cyberlibertarianism, particularly its propensity to reinforce elitism and obscure structural inequalities. It argues that while decentralization promises new affordances for digital citizenship, it risks consolidating power in technocratic enclaves unless governed through pluralistic and inclusive frameworks. Drawing on theories of innovation systems and AI economics, the chapter calls for hybrid governance models that prioritize solidarity, transparency, and institutional reflexivity. Ultimately, it proposes that political geography must play a central role in reimagining post-Westphalian digital orders that are democratic, accountable, and socially just.

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Cyberlibertarian Post-Westphalianism

  • Igor Calzada

摘要

This chapter positions political geography as a critical lens through which to investigate the rise of cyberlibertarian post-Westphalianism—a phenomenon shaped by Web3 infrastructures, GenAI systems, and decentralized techno-politics. Building on sustained fieldwork in Silicon Valley since August 2022 and prior research, the chapter interrogates how libertarian ideologies embedded in Web3 are reconfiguring notions of sovereignty, governance, and socioeconomic coordination. It compares three paradigmatic formations: Network States (Srinivasan), rooted in crypto-libertarianism; Network Sovereignties (De Filippi), grounded in commons-based governance; and Algorithmic Nations (Calzada), emphasizing cultural self-determination and data sovereignty. Engaging with critical voices such as Jarrad Hope and David Golumbia, the chapter reveals the ideological tensions at the core of cyberlibertarianism, particularly its propensity to reinforce elitism and obscure structural inequalities. It argues that while decentralization promises new affordances for digital citizenship, it risks consolidating power in technocratic enclaves unless governed through pluralistic and inclusive frameworks. Drawing on theories of innovation systems and AI economics, the chapter calls for hybrid governance models that prioritize solidarity, transparency, and institutional reflexivity. Ultimately, it proposes that political geography must play a central role in reimagining post-Westphalian digital orders that are democratic, accountable, and socially just.