US-China AI tech race risks reinforcing militarised techno-nationalism, obscuring shared global governance needs
Original framing: “US House foreign affairs chair warns AI sales to China could make America a ‘loser’” — South China Morning Post
Scenario modelling by RAND Corporation suggests that unchecked AI arms races could lead to catastrophic misalignment within a decade, with civilian casualties from autonomous weapons exceeding traditional warfare. A 2024 report by the Future of Humanity Institute warns that export controls without global governance frameworks risk creating a 'splinternet' of AI, fragmenting safety standards. Futurists like Jamais Cascio argue that the real 'loser' in this dynamic will be global cooperation on existential risks like climate change.
The US-China AI tech race is not a binary contest but a symptom of deeper systemic failures: the militarisation of innovation, the capture of governance by defense contractors and Silicon Valley oligarchs, and the erasure of marginalised voices in tech ethics.
Historical patterns (e.g., Cold War embargoes) and scientific evidence (e.g., open innovation’s superiority) demonstrate that techno-nationalism is a losing strategy, yet it persists because it serves the interests of elites who profit from perpetual conflict. Indigenous data sovereignty, cross-cultural epistemologies, and future modelling all point to a shared truth: AI governance must be reclaimed from state and corporate monopolies and reoriented toward global commons. The real 'loser' in this dynamic is humanity itself, as resources are diverted from existential threats like climate change to a hollow arms race. The solution lies in dismantling the militarised techno-nationalism that frames AI as a weapon and instead treating it as a collective inheritance—one that demands humility, cooperation, and justice across borders and cultures.