AI-Enabled Digital Transnational Repression: How Generative AI Is Expanding Authoritarian Reach Across Borders
By Kate Pundyk, Siena Anstis, and Marcus Michaelsen (Just Security, 12 October 2026)
This article examines emerging evidence that generative artificial intelligence is being incorporated into transnational repression campaigns targeting dissidents, activists, and diaspora communities beyond the borders of authoritarian states. Drawing on a recent threat intelligence report by Anthropic, the authors document how actors linked to the Chinese government used the AI assistant Claude to monitor Uyghurs living in Syria, identify vulnerable individuals, translate communications, and support efforts to recruit informants within the community.
The article argues that AI is transforming digital transnational repression by making surveillance and targeting operations faster, cheaper, and more scalable. According to the authors, AI systems can analyze vast amounts of publicly available information, map social networks, infer political affiliations, identify vulnerabilities, and generate detailed intelligence reports on activists and exiled communities. These capabilities lower the technical and financial barriers traditionally associated with sophisticated surveillance operations.
Beyond information gathering, the article highlights how AI can support the development of standardized monitoring systems that enable continuous surveillance of diaspora groups across borders. In several documented cases, AI tools were used to create workflows for tracking activists, monitoring public discussions, and producing recurring reports for government agencies. The authors warn that such practices risk normalizing transnational surveillance as a routine bureaucratic function.
Importantly, the article emphasizes that AI-enabled repression can have real-world consequences. Information generated through AI-assisted monitoring may facilitate intimidation, coercion, physical surveillance, informant recruitment, and other forms of pressure against exiled activists and vulnerable communities. The authors therefore argue that digital transnational repression should be recognized as a distinct threat category requiring dedicated safeguards.
To address these risks, the article calls on leading AI companies to adopt stronger human rights protections, including transparent threat reporting, community notification mechanisms for affected groups, improved detection of repression-related misuse, and the preservation of digital evidence that could support future accountability and legal proceedings. The authors conclude that closer collaboration between AI developers, civil society organizations, and digital rights researchers is essential to prevent emerging technologies from strengthening authoritarian repression across borders.
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