Bilateral AI & Strategic Tech Parity Simulator

As heads of state convene amid tech competition, analyze the real systemic vectors: frontier AI compute cluster capacity, advanced semiconductor packaging, domestic clean power scaling, export control leakages, and summit treaty limits.

Active Frontier Lead
US +7.8 mo
Compute scaling parity: 2028 Q3
US Effective AI FLOPs (2028)
4.8 × 10²⁶
Power bound: 16.8 GW
CN Effective AI FLOPs (2028)
2.9 × 10²⁶
Yield penalty: -42% eff.
Bilateral Friction Index
68 / 100
High Tech Dissociation
US Frontier Cluster Trajectory (EFLOPS)
CN Frontier Cluster Trajectory (EFLOPS)
Treaty / Power Ceilings
Y-axis shows cumulative effective Training FLOPs (log₁₀ scale). X-axis spans 2024 to 2030. Estimated parity gap: 8.2 months
Scenario loaded: Status Quo 2026. All models reactive.

The Semiconductor Chokepoint

Export controls on extreme ultraviolet lithography (EUV) and EDA software restrict peak transistor density and cluster interconnects. However, multi-patterning DUV techniques and domestic yield maturation steadily compress the hardware efficiency divide.

The Power & Grid Bottleneck

As frontier clusters scale past 100,000 GPUs, datacenter power constraints (transformer lead times, substation interconnects, clean baseload power) supersede silicon supply as the bounding limit on rapid gigawatt-scale expansion.

Algorithmic & Open-Weights Diffusion

Architectural efficiencies (distillation, synthetic reasoning datasets, quantized inference) spread globally within weeks of publication. Hardware deficits can be partially mitigated through distributed cluster optimization and architectural innovation.

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