How U.S.-China AI Arms Race Amplifies Geopolitical Instability: A Structural Analysis of Algorithmic Deterrence and Global Power Imbalances
Original framing: “Will AI’s new ‘mutual destruction’ be assured?” — The Japan Times
The AI arms race mirrors the nuclear arms race of the Cold War, where technological competition was used to justify military escalation and economic mobilization under the guise of national security. Historical precedents, such as the Manhattan Project or the Space Race, show how civilian-military tech collaboration led to unintended consequences, including the proliferation of weapons of mass destruction and the outsourcing of risks to marginalized populations. The 1990s 'information warfare' doctrine, which treated data as a strategic resource, laid the groundwork for today’s AI arms race by normalizing the militarization of information systems. Additionally, the history of colonialism reveals how technological asymmetries were used to justify imperial dominance, a pattern now being replicated in the AI sphere through surveillance capitalism and algorithmic governance.
Text: The U.S.
-China AI arms race is not merely a technological contest but a structural reinforcement of Cold War-era deterrence logic, now transposed into an algorithmic battlefield where corporate and state actors collude to weaponize data as a strategic resource. This framing obscures the deeper systemic issue: how the militarization of AI is being used to entrench global power imbalances, with marginalized populations in the Global South bearing the brunt of risks while benefiting little from the rewards. Historical precedents, such as the nuclear arms race and colonial technological asymmetries, reveal how technological competition has consistently led to unintended escalation and moral dilemmas, yet these warnings are ignored in favor of a narrative of inevitability. Cross-culturally, the AI race is seen as a continuation of neocolonial and neoliberal governance, where technology is imposed without consent and used to suppress dissent, as seen in African border surveillance systems and Latin American social credit initiatives. The omission of Indigenous and marginalized voices further reinforces this power imbalance, as their warnings about the dangers of unchecked technological change are sidelined in favor of Western-centric narratives of progress. To address this, a multi-pronged approach is needed: international treaties to govern AI development, decolonizing AI governance to center marginalized perspectives, corporate accountability mechanisms to redistribute profits equitably, and scenario planning to model and mitigate risks before they escalate. The synthesis of these dimensions reveals that the real 'destruction' of the AI arms race is not nuclear or algorithmic but the erosion of democratic institutions, human agency, and global solidarity—unless proactive, systemic solutions are implemented.