AI Patents in the United States and China: Measurement, Organization, and Knowledge Flows

Researchers developed an advanced AI classifier achieving 97% precision in identifying AI patents, revealing that both the U.S. and China are rapidly expanding AI innovation but through fundamentally different institutional structures. While China recently surpassed the U.S. in annual patent volume, American AI patenting remains concentrated among large private firms, whereas Chinese innovation is more geographically dispersed across universities and state-owned enterprises.

This research provides quantitative evidence of a significant shift in global AI innovation dynamics. The development of a high-precision patent classifier (94% F1 score) enables more accurate measurement of AI R&D trends than previous methodologies, offering policymakers and investors a more reliable lens for understanding technological competition. The study reveals that despite China's recent numerical advantage in annual AI patent filings, both nations are converging on similar subfield priorities, suggesting parallel development trajectories rather than divergent innovation strategies.

The institutional organization gap carries substantial implications. U.S. concentration among established tech giants (likely Amazon, Google, Meta, Microsoft) creates efficiency through resource concentration but potentially limits radical innovation diversity. China's distributed model across state institutions, private companies, and universities may generate more experimental approaches but could face coordination challenges. This organizational difference reflects distinct innovation ecosystems shaped by regulatory frameworks and capital allocation mechanisms.

For investors and firms, the patent value premium in both markets indicates that AI intellectual property retains strong strategic worth. The continued technological interdependence evident in cross-border citations—particularly Chinese reliance on U.S. frontier knowledge—demonstrates that geopolitical decoupling rhetoric outpaces actual innovation separation. This suggests supply chain vulnerabilities in semiconductor and algorithmic development persist despite trade tensions.

Looking ahead, the sustainability of China's patent growth, the degree to which institutional diversity drives breakthrough innovations, and whether cross-border knowledge flows persist under increasing trade restrictions warrant close monitoring. The research establishes a baseline for measuring whether innovation truly bifurcates or remains integrated.

• →Advanced patent classifier achieves 97% precision, significantly improving AI patent measurement and enabling more reliable innovation trend analysis.
• →China surpassed the U.S. in recent annual AI patent filings while both nations converge on similar technological subfields and patenting intensity.
• →U.S. AI innovation concentrates among established private tech incumbents, whereas Chinese innovation is geographically dispersed across universities and state enterprises.
• →AI patents command robust market-value premiums for listed firms in both countries, indicating strong investor recognition of innovation value.
• →Continued cross-border citations reveal technological interdependence rather than decoupling, with Chinese inventors more reliant on U.S. frontier knowledge.