Chinese propagandists are allegedly using OpenAI's flagship chat model to generate opposition to Donald Trump's tariff policies [1, 2].
This development highlights the growing role of generative artificial intelligence in geopolitical influence operations. By leveraging advanced language models, foreign actors can scale the production of persuasive content designed to sway public opinion on sensitive economic and technological issues within the U.S. [1, 2].
According to reports, the activity focuses on intervening in American debates regarding data centers and the future of artificial intelligence [1, 2]. The goal is to create an environment of opposition to the trade policies championed by Donald Trump, specifically focusing on tariffs [1, 2].
OpenAI identified the use of its tools for these purposes, noting the attempt to manipulate discourse surrounding critical infrastructure and trade [1, 2]. The effort suggests a strategic move by Beijing to utilize Western technology to undermine Western policy objectives, a paradox that underscores the difficulty of policing AI-generated content.
The Chinese Embassy in Washington denied the allegations [1, 2]. Beijing has consistently rejected claims that it engages in coordinated disinformation campaigns to interfere in the internal political processes of other nations [1, 2].
OpenAI continues to monitor its platforms for misuse. The company has previously implemented safeguards to prevent its models from being used for political campaigning or deceptive influence operations, but the evolving nature of prompt engineering allows some actors to bypass these restrictions [1, 2].
“Chinese propagandists are allegedly using OpenAI's flagship chat model to generate opposition to Donald Trump's tariff policies”
The use of commercial AI by state-linked actors to influence U.S. policy indicates a shift from traditional bot-farms to high-quality, AI-generated narratives. This increases the difficulty for intelligence agencies and social media platforms to detect foreign interference, as the content is more linguistically natural and tailored to specific policy debates like data center regulation and tariffs.





