Recorded Future - US-China AI Gap 2025 Analysis

US-China AI Gap: 2025 Analysis of Model Performance, Investment, and Innovation 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Measuring the US-China AI Gap

 
 
 
 
 
 Executive Summary

 China has stated its ambition to become the world leader in artificial intelligence (AI) by 2030, a goal that encompasses not only the performance of individual AI models that often attract significant media attention but also AI innovation broadly and widespread adoption of AI for economic and geopolitical benefit. Based on an analysis of key industry pillars informing the US-China competition for AI supremacy — including government and venture capital (VC) funding, industry regulation, talent, technology diffusion, model performance, and compute capacity — Insikt Group assesses that China is unlikely to sustainably surpass the United States (US) on its desired timeline. Currently, China either trails behind or does not clearly lead the US in any of these pillars. The US-China AI competition is likely to become tighter, with China's AI industry likely being a close second to the US globally and its AI models possibly outperforming the US at times or in some sectors. Chinese generative AI models likely lag behind US competitors by approximately three to six months as of this writing, based on Insikt Group analysis of publicly available Elo benchmarks, but potential new algorithmic breakthroughs along with agentic and collaborative AI systems could significantly sway the competitiveness of US or Chinese models before 2030.

 China’s government has sought to accelerate the development of a world-leading, globally influential AI industry since 2017, when authorities adopted a dedicated plan for achieving this goal. DeepSeek’s unveiling of R1 in January 2025 was a key milestone in this endeavor. R1’s capabilities reflect — and support continuing — noteworthy advances and lines of effort within China’s AI ecosystem. China’s AI research community is very likely benefiting from the government’s supportive policy environment, government-led investment initiatives, access to an increasingly high-quality talent pool, and increasing links between academia and industry. Chinese AI companies like DeepSeek have realized performance gains by innovating and embracing open source. These companies have also become proficient at adopting techniques implemented by US peers and domestic rivals and prioritizing cost efficiency to remain competitive in domestic markets. Chinese open-source models are being adopted domestically and abroad, while inventors and organizations in China are filing more patents for generative AI applications in many key industries such as software, finance, and energy.

 Despite this progress, China’s AI industry faces important challenges. Total private sector investment in AI lags far behind the US, and central government funding likely trails US federal investment by a small margin. China’s access to d

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