U.S.-China artificial intelligence race
Which country leads the AI race, the United States or China?
What are the leading U.S. and Chinese AI models?
Why are semiconductors important in the U.S.-China AI race?
What is model distillation, and why is it controversial in the U.S.-China AI race?
Why is robotics important in the U.S.-China AI race?
How is AI affecting cybersecurity competition between the United States and China?
The global artificial intelligence (AI) landscape is increasingly defined by competition between the United States and China. Both countries are directing enormous private and public resources toward leadership in AI. Stanford University’s 2026 AI Index counted 59 notable American models and 35 Chinese models produced in 2025. South Korea followed distantly with eight; Canada, France, the United Kingdom, Singapore, and Hong Kong each had one. The United States leads in private investment and computing infrastructure and is home to many of the world’s leading AI companies, including NVIDIA, the dominant designer of advanced semiconductors used in AI computing. China leads in AI research publications and citations, as well as the quantity of patent grants, and has particular strengths in industrial applications and robotics. In 2024, 54 percent of industrial robot installations worldwide took place in China.
The United States initially held a substantial advantage in generative AI, particularly after OpenAI’s release of ChatGPT in November 2022 triggered a worldwide boom in the technology. Chinese developers rapidly narrowed the gap. The release of DeepSeek-R1 in January 2025 drew international attention to China’s progress and was widely described as a “Sputnik moment.” By March 2026 Stanford measured the performance gap between the top American and Chinese models at just 2.7 percent and concluded that the gap had “effectively closed.”
China has also emerged as a major developer of open-source and open-weight models, particularly through DeepSeek and Alibaba. Unlike closed-weight models, open-weight models can generally be downloaded and run independently, allowing developers to adapt and build on them. Mozilla’s 2026 State of Open Source AI report found that the best open model trailed the leading proprietary model by just three points on one major performance index. The emergence of open models has added another dimension to U.S.-China competition: The contest is not only over which country produces the most capable models but also whose AI ecosystem is most widely adopted. In September 2026 Chinese Pres. Xi Jinping proposed establishing a BRICS open-source AI community.
" height="20" alt="HEW Logo">
AI in the United States
By the early 21st century, the United States had emerged as the leading center of modern AI through academic research and federal funding, Silicon Valley entrepreneurship and venture capital, and the growth of powerful technology companies. Advances in machine learning further accelerated American leadership during the 2010s.
Major American players include:
- OpenAI: Developer of ChatGPT and the GPT family of models. OpenAI received a U.S. Department of Defense agreement worth up to $200 million to develop frontier-AI capabilities for national security applications.
- Google and Google DeepMind: Developers of Gemini, AlphaGo, and AlphaFold, and a source of foundational research on the transformer architecture underlying modern large language models. Google also received a Defense Department agreement worth up to $200 million.
- xAI: Developer of Grok and recipient of a Defense Department agreement worth up to $200 million.
- Meta: Developer of the Llama family of open-weight models and a major American contributor to the open-model ecosystem.
- NVIDIA: Dominant designer of the advanced GPUs used to train and operate AI systems. In October 2026 the NVIDIA-backed start-up Reflection AI unveiled Beam, an open-weight model aimed at expanding U.S. offerings in the open-model ecosystem.
The U.S. federal government increasingly treats AI leadership as an economic and national security priority. The Trump administration’s 2025 publication America’s AI Action Plan called for accelerating innovation and expanding domestic computing and energy infrastructure while continuing restrictions intended to limit China’s access to advanced AI chips and other sensitive technologies. The plan explicitly describes AI as a global race in which leadership could bring major economic and military benefits.
AI in China
China became a major AI center during the 2010s as its technology companies expanded into machine learning, computer vision, autonomous vehicles, and other applications. Government support, a large scientific and engineering workforce, an enormous domestic market, and rapid adoption of digital technologies helped create an AI ecosystem rivaled in scale only by that of the United States.
The trusted destination for professionals, college students, and lifelong learners.
SUBSCRIBE
Major Chinese players include:
- Alibaba: Developer of the Qwen family of proprietary and open-weight AI models and a major provider of cloud computing and AI services.
- DeepSeek: Developer of open-weight models including DeepSeek-R1, whose competitive performance drew international attention in 2025. Its models have also been used by the People’s Liberation Army for military applications.
- Baidu: Developer of the ERNIE models and the Apollo Go robotaxi service. Apollo Go completed 3.2 million fully driverless rides in the first quarter of 2026 and peaked at more than 350,000 weekly rides.
- Tencent: Developer of the Hunyuan models and the Yuanbao AI assistant, with AI increasingly integrated across its social media, gaming, and cloud businesses.
- Huawei: Developer of the Ascend family of AI processors, China’s leading domestic alternative to NVIDIA hardware.
- Other companies: Zhipu AI, Moonshot AI, MiniMax, and numerous robotics entities.
The Chinese government has treated AI as a strategic technology for economic development and technological self-sufficiency. The 2017 New Generation Artificial Intelligence Development Plan established national goals for AI development, while more recent initiatives have promoted domestic chips, computing infrastructure, open-source development, and the integration of AI throughout the economy. China’s “AI Plus” initiative was expanded in 2026 to encourage large-scale commercial applications across major industries.
Semiconductors and export controls
Advanced semiconductors are a major point of contention between the United States and China because developing and operating advanced AI requires enormous amounts of computing power. Beginning in 2022 the United States tightened controls on exports to China of advanced AI chips and semiconductor manufacturing technology, citing national security concerns. The restrictions prompted China to accelerate its development of alternatives to advanced NVIDIA processors, notably Huawei’s Ascend chips. U.S. policy later shifted: In January 2026 the Trump administration allowed NVIDIA H200, AMD MI325X, and comparable processors to be exported to approved Chinese customers under specific conditions. China’s continued AI advances have fueled debate over the effectiveness of export controls as a means of maintaining a U.S. advantage.
Distillation
Another point of contention is model distillation, a common technique in which outputs from a more capable model are used to train a less capable model. American companies have accused Chinese competitors of using proprietary U.S. models without authorization to accelerate development of their own models. In February 2026 Anthropic said that the Chinese companies DeepSeek, Moonshot AI, and MiniMax had generated more than 16 million exchanges with Claude through about 24,000 fraudulent accounts in what it characterized as industrial-scale distillation campaigns. Anthropic argued that such methods could allow competitors to acquire advanced AI capabilities in a fraction of the time and at a fraction of the cost required to develop them independently.
Robotics and autonomous systems
China is the world’s largest market for industrial robots and has invested heavily in autonomous vehicles, drones, and humanoid robots. Advances in AI have accelerated the development of “embodied AI”—robots and other systems capable of perceiving and acting in the physical world. Although general-purpose robots remain at an early stage of commercial development, robotics has emerged as a critical frontier in the U.S.-China technology competition.
Cybersecurity
AI has also become increasingly important to cybersecurity. In 2025 Anthropic reported disrupting a cyberespionage campaign that it attributed to a Chinese state-sponsored group that used Claude to automate attempted intrusions against roughly 30 companies and government agencies. Anthropic described it as “the first documented case of a large-scale cyberattack executed without substantial human intervention.” By 2026 Anthropic also reported AI being used more broadly for reconnaissance, vulnerability research, exploitation, malware development, and data theft.