Structural shifts in AI development reshape US-China competition
Original framing: “The US-China AI arms race has taken an unexpected turn” — New Scientist
Scientific research on AI is increasingly collaborative across borders, with peer-reviewed journals and open-source platforms enabling knowledge sharing. However, geopolitical tensions often hinder data exchange and joint research initiatives.
The US-China AI rivalry is not a simple contest of technological supremacy but a reflection of deeper systemic forces: global economic interdependence, the role of state and corporate actors in innovation, and the marginalization of diverse epistemologies.
Indigenous knowledge, cross-cultural collaboration, and inclusive governance are essential for reorienting AI development toward ethical and sustainable outcomes. Historical parallels with Cold War competition reveal recurring patterns of militarization and ideological framing, while future modeling must account for the lived experiences of those most affected by AI. By integrating scientific rigor, artistic insight, and marginalized voices, we can move beyond the binary of 'race' and toward a more holistic, just, and globally informed approach to AI.