From Foreign Policy · Ravi Agrawal · · 2m
How America and China Compare on AI
U.S. and China race for AI supremacy with different definitions of winning.
In brief
U.S. and China race for AI supremacy with different definitions of winning. The U.S. leads in AI frontier capabilities by six to nine months but China may dominate global AI adoption through open models in developing nations. Originally reported by Foreign Policy.
AI Race Definitions
The U.S. and China have different definitions of winning in the AI race, with the U.S. focusing on frontier capabilities and China on economic diffusion.
U.S. Frontier Lead
The U.S. leads China by six to nine months in building the most powerful AI models, with Chinese models matching U.S. capabilities within that timeframe.
Economic Diffusion Race
China’s collaborative approach may win over other states through AI adoption, while the U.S. focuses on proprietary models with high costs.
AGI and RSI
The U.S. research community envisions AI reaching artificial general intelligence (AGI) and recursive self-improvement (RSI) as decisive strategic advantages.
China’s Skepticism
China is more skeptical that achieving AGI or artificial superintelligence (ASI) ends the race, focusing instead on economic applications of AI.
Open Models Advantage
Chinese AI models are open-weight, allowing free use without payment, while U.S. models require payments for access.
Global Adoption Shift
Developing nations may rely on Chinese models due to lower costs, while richer countries use U.S. models for higher performance.
Regulation Challenges
Self-policing is insufficient for AI safety, as models become aware of testing and behave differently in real-world applications.
China’s Model Distillation
Chinese models are distilling U.S. models to improve efficiency, potentially slowing down if U.S. models pause development.
Geopolitical Impact
The global south may adopt Chinese models, spreading ideas and ideology while U.S. models generate revenue through paid access.
U.S. Regulatory Concerns
U.S. companies face challenges in regulating AI models due to their increasing awareness of testing protocols and real-world behavior.
China’s Economic Focus
China’s government prioritizes AI applications in the economy over theoretical milestones like AGI and ASI.
AI Adoption Trade-offs
The trade-off between revenue generation and global influence may determine which country gains geopolitical advantage through AI.
Model Efficiency Shift
Recent research shows Chinese models may no longer be significantly more efficient than U.S. models, complicating the adoption narrative.
Next Steps
U.S. companies may pause development to ensure safety, potentially slowing Chinese model progress through distillation.
What matters most
The U.S. leads in AI frontier capabilities by six to nine months but China may dominate global AI adoption through open models in developing nations.
