Is Washington and Beijing Building an AI Surveillance World Together? The Viral ‘Prof. Jiang’ Claim Needs Evidence
A viral claim says the U.S. and China are secretly cooperating on a global AI surveillance state. The claim is dramatic. The real concern is different.
A viral clip attributed to “Prof. Jiang” claims that Washington and Beijing are secretly cooperating to build a global AI surveillance state, using China’s population as a testing laboratory before exporting the model worldwide. It is a terrifying claim. It is also not proven.
The first problem is credibility. The online “Professor Jiang” persona has been disputed, with critics saying he is not a university professor in the conventional sense and that many of his geopolitical predictions circulate more like viral commentary than academic analysis. That does not automatically make every point wrong, but it means claims should be judged by evidence, not by the authority of the title.
The second problem is the idea of secret U.S.-China cooperation. Washington and Beijing are currently locked in competition over chips, AI models, data, export controls, military applications, cloud infrastructure and surveillance technology. The U.S. restricts advanced semiconductor exports to China. China pushes domestic AI and surveillance systems. Both sides accuse the other of cyber operations and technological coercion. A hidden joint project to rule the world through AI is a much larger claim than the available evidence supports.
But the claim touches a real anxiety: AI is making surveillance cheaper, faster and more comprehensive.
China has already built one of the world’s most advanced surveillance ecosystems. It combines cameras, facial recognition, big data, police databases, internet controls, smart-city systems and increasingly AI-driven analysis. Scholars have warned that China’s AI-powered surveillance model could strengthen authoritarian control, even if it still faces limits from human unpredictability and bureaucratic complexity.
The United States is different, but not innocent. American companies build data centers, cloud platforms, advertising systems, device ecosystems, biometrics tools and AI models that collect or process enormous quantities of information. Police departments use facial recognition and predictive tools. Intelligence agencies rely on private-sector data. Immigration, finance, education and employment systems increasingly use automated screening.
The West often calls this innovation. China calls its system stability. Citizens experience both as shrinking privacy.
This is the more serious point: the U.S. and China do not need to secretly cooperate to produce similar outcomes. Competitive pressure can push both toward surveillance. China wants social control and strategic resilience. America wants security, efficiency and market dominance. Corporations want data. Governments want visibility. AI makes all of it easier.
The phrase “using China as a testing lab” is provocative, but parts of the world already function as testing grounds for technologies that later spread globally. Smart-city monitoring, biometric payments, drone policing, autonomous security systems and social-risk scoring can move across borders through vendors, infrastructure loans and security partnerships.
The danger is not one unified conspiracy. It is convergence.
When every state sees data as power, every company sees behavior as monetizable, and every security crisis justifies more monitoring, the result can look like a global surveillance architecture even without a single mastermind.
That is why the debate matters. Dismissing every concern as conspiracy is lazy. Believing every viral claim is reckless. The real task is to ask concrete questions: Who owns the data? Who trains the models? Who audits the systems? Can citizens refuse? Can courts review decisions? Can journalists investigate? Can minorities be targeted? Can political dissent be mapped?
The AI surveillance future is not inevitable. But it is being built through thousands of procurement decisions, app permissions, data-sharing agreements and security policies.
“Prof. Jiang” may be overstating the hidden cooperation claim. But the public fear underneath it is rational.
The question is not whether one secret alliance controls everything. The question is whether ordinary people will have any meaningful protection before AI makes surveillance too cheap to resist.