India and the US Must Urgently Forge AGI Cooperation
The race for Artificial General Intelligence (AGI) is accelerating between the United States and China. U.S. policymakers increasingly worry that if China reaches AGI first, it will not only shift strategic balance but could also undermine the deterrence logic that has constrained great-power conflict for decades.
Analysts warn that AGI-enabled capabilities could degrade adversarial nuclear command-and-control, making first-strike scenarios and proxy escalation more plausible. For India, this is not an abstract concern; it is a direct vulnerability in Asia’s emerging technology-security order.
China’s low-cost AI breakthroughs, including rapid model development under export-control pressure, demonstrate that pace and adaptability can offset capital asymmetries. With Beijing’s military-civil fusion framework, frontier AI gains are rapidly translated into strategic capability.
China’s AGI Pathway is Structurally Military-First
Beijing’s military-civil fusion operates as a live procurement and deployment pipeline. A broad base of civilian tech vendors now supports PLA-linked AI capability development, indicating systemic militarization of commercial AI infrastructure.
This is already visible near India’s strategic periphery through autonomous systems and AI-enabled ISR. As model quality improves and training costs decline, escalation windows in the Indo-Pacific could compress further in China’s favor.
India’s Capability Gap Demands Allied Scale
India’s sovereign AI efforts are essential, but on current trajectories, independent scaling to AGI-relevant frontier capacity remains difficult. Compute asymmetry, slower fielding cycles, and fragmented research-to-deployment pipelines create a strategic lag against a China operating through an integrated state-tech architecture.
The central policy question is not whether India should build AI, but whether it can reach frontier capability timelines without deep U.S. partnership on accelerators, research infrastructure, and safety science. Current evidence suggests this partnership is now strategic necessity.
A U.S.-India AGI Compact Serves Security and Governance
A credible compact should be structured across three tracks:
| Track | Priority Actions |
|---|---|
| Hard Capability | Tier-one export treatment for India on advanced accelerators and shared research compute clusters for vetted labs. |
| Research and Defense Translation | Co-funded institutes, fellowships, and joint red-teaming on AGI-resilient nuclear C2 and AI-enabled attack attribution. |
| Rule-Setting | Co-authored democratic governance framework with compute thresholds, audits, and interoperable oversight norms. |
From Fragmented Efforts to Strategic Pact
As frontier AI diffusion accelerates and training pathways become cheaper, unilateral strategies become less viable even for major powers. A coordinated democratic ecosystem, combining U.S. foundational science with India’s scale and market depth, can provide both speed and safeguards.
Defense and policy discourse is increasingly moving beyond single-program analogies toward a whole-of-society model that is open, mission-driven, and rapidly translational. A U.S.-India AGI pact is well-positioned to operationalize this model.
Act Before Deterrence Erodes
The policy window is narrow. If AGI advantage consolidates first within an authoritarian military-civil ecosystem, India faces elevated coercive risk across planning, sensing, and disruption layers. The strategic ask is urgent: elevate AGI cooperation to alliance-level priority, fast-track compute and export pathways, operationalize joint resilience red-teams, and table a co-led governance proposal before de facto norms harden without democratic input.
