US-China AI race reshapes global governance rules

The accelerating competition between Washington and Beijing to establish technological leadership in artificial intelligence is creating a critical juncture for global governance. While both superpowers pursue aggressive development timelines, concerns are mounting that the rapid pace leaves little room for international consensus on safety protocols and ethical standards. Nations across South and Southeast Asia, along with other developing economies, face the prospect of inheriting AI frameworks designed primarily by and for the two leading powers.

The challenge presents a paradox for the international community. Stricter global governance mechanisms could slow innovation and allow one power to gain decisive advantages, creating incentives for both to accelerate development outside multilateral frameworks. Conversely, permitting each nation to set its own standards risks fragmented systems that could prove difficult to harmonize later. The tension reflects a broader struggle between advancing technological capabilities and establishing guardrails for their responsible deployment.

For India and other emerging economies, the implications are substantial. These nations stand to be major adopters and implementers of AI technologies but risk having limited voice in shaping the governance structures that will regulate them. The two-power dynamic threatens to establish precedents that might prove difficult to alter once technological trajectories solidify. Policymakers in the region face pressure to develop positions on AI governance quickly, before global standards crystallize around choices made in Washington and Beijing.

Industry experts and analysts note that meaningful global governance requires participation from diverse economic and cultural perspectives. The current trajectory suggests that unless developing nations organize collective positions on AI safety and ethics, they may find themselves adapting to frameworks designed without their input. This disparity could amplify existing technological gaps and limit these economies' ability to shape how AI affects their citizens and sectors.