American companies are set to invest approximately $700 billion this year in building artificial intelligence infrastructure, including data centers, chips, and computing power. This investment reflects confidence in the capacity of American capitalism to continuously drive breakthroughs and generate economic returns. However, U.S. officials are raising concerns about efforts by Chinese entities to narrow the technological gap through the large-scale use of a technique known as distillation.

Distillation involves training a new artificial intelligence model by querying an existing advanced model, recording its responses, and using that data to develop a new system with similar capabilities—without investing the same resources in original research and development. While this practice is common and accepted when done with permission, such as Apple licensing Google’s Gemini model to enhance its Siri assistant, U.S. security agencies allege that several Chinese companies have employed distillation on an industrial scale without authorization.

On Tuesday, a coalition of U.S. intelligence agencies, including the National Security Agency (NSA) and the Federal Bureau of Investigation (FBI), accused six Chinese AI firms of engaging in “aggressive, malicious, and targeted distillation activities.” These companies are said to have extracted expertise from leading American AI models to enhance their own systems. Among the Chinese AI products gaining ground overseas are DeepSeek, Moonshot’s Kimi K3, and Alibaba Cloud’s Qwen, which have been integrated into services offered by well-known American companies such as Airbnb, Coinbase, and DoorDash.

The emerging Chinese presence in AI markets initially went largely unnoticed in American corporate leadership circles but has recently attracted significant attention due to growing competitive pressures. U.S. officials warn that unauthorized distillation might erode the returns on massive U.S. investments by enabling Chinese developers to close the performance gap with less expenditure on research and infrastructure.

Although distillation itself is a legitimate research and development method in artificial intelligence, the legality depends on factors including how the original models are accessed and how the distilled outputs are used. The U.S. allegations focus specifically on systematic, unauthorized efforts at scale.

This dispute adds complexity to the broader technology rivalry between the United States and China, which has seen measures such as export controls on advanced chips and related infrastructure. U.S. policymakers face the challenge of safeguarding intellectual property while fostering innovation in a rapidly evolving and globally competitive AI landscape.

As President Donald Trump prepares to meet Chinese leader Xi Jinping later this month, U.S.-China competition over AI is expected to remain a central topic of discussion, with both countries seeking strategic advantages in what is widely regarded as a critical sector for future economic and national security outcomes.