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NEW YORK DAWN™ > Blog > Technology > How AI Is Being Used to Enforce Modern Kleptocracy
How AI Is Being Used to Enforce Modern Kleptocracy
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How AI Is Being Used to Enforce Modern Kleptocracy

Last updated: June 16, 2025 10:11 pm
Editorial Board Published June 16, 2025
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Book Author, Kay Duncan

The Evolution of Kleptocracy in the Age of AI

Historically, kleptocratic systems relied on bureaucratic manipulation, political prejudice, and covert networks to maintain power. Today, these regimes use AI to consolidate their rule with unprecedented precision and reach. From algorithmic censorship to biometric surveillance, AI technologies provide kleptocrats with tools that are faster, less traceable, and far more invasive than traditional methods. As Kay Duncan’s From Freedom to Fraud outlines, the evolution of kleptocracy is deeply interlaced with the expansion of digital infrastructure and the erosion of civil liberties through technological control.

Contents
The Evolution of Kleptocracy in the Age of AISurveillance Capitalism and Predictive PolicingAlgorithmic Censorship and Information ControlAI in Financial Surveillance and Economic RepressionAI as a Tool of Judicial and Bureaucratic SubversionA Systemic Shift Toward Technocratic TyrannyConclusion

Surveillance Capitalism and Predictive Policing

One of the most prominent uses of AI in modern kleptocracies is mass surveillance. AI-driven facial recognition systems, geolocation tracking, and behavioral monitoring software are deployed to observe citizens continuously under the guise of national security. While such systems are often marketed as crime deterrents or anti-terrorism measures, they function primarily to identify dissidents, suppress dissent, and reinforce authoritarian control.

Powered by AI algorithms, predictive policing purportedly identifies areas or individuals at risk of committing crimes. However, these systems are often riddled with bias, lack transparency, and disproportionately target marginalized communities or political opponents. In countries with weakened judicial oversight, this enables state actors to preemptively detain or intimidate individuals deemed “threats”, not for actual crimes, but for their potential to challenge power.

Algorithmic Censorship and Information Control

AI algorithms control what information citizens see and consume. In authoritarian-leaning states and increasingly in liberal democracies, social media platforms use machine learning to prioritize or suppress content. While this is presented as content moderation to prevent misinformation, it frequently becomes a vehicle for narrative engineering.

Shadow banning, stealth de-ranking, and content throttling are modern tools of censorship enforced through cloudy algorithms. Users targeted by these systems are often unaware they’ve been silenced. This passive suppression is particularly dangerous because it lacks the visibility of overt censorship and allows regimes to maintain a façade of openness while systematically eroding public discourse.

As Duncan asserts, tech giants, many of which receive government subsidies or cooperate with intelligence agencies, are central to this ecosystem. They shape public opinion not through persuasion, but through algorithmic manipulation that serves the interests of entrenched elites.

AI in Financial Surveillance and Economic Repression

Modern kleptocracies also utilize AI to control financial systems and track capital movement. Machine learning tools monitor banking activity, cryptocurrency transactions, and digital payments in real time. Apparently used to prevent fraud and terrorism financing, these tools often serve to identify and penalize political enemies, whistleblowers, and independent businesses.

Financial blacklisting, account freezing, and credit scoring manipulated through opaque AI models are increasingly common. Such mechanisms allow the state or corporate partners to economically isolate individuals without due process, creating a chilling effect on political participation. This form of economic pressure is a hallmark of kleptocratic enforcement, it removes livelihood and reputation with minimal accountability.

Moreover, as international banking systems become more automated and AI-integrated, kleptocratic regimes exploit legal gray zones to launder stolen wealth. AI facilitates the creation of shell companies, obscures transactional trails, and enables asset transfers across jurisdictions with minimal human oversight. Ironically, the same technologies that claim to ensure transparency are repurposed to conceal elite criminality.

AI as a Tool of Judicial and Bureaucratic Subversion

AI’s integration into legal systems is also ripe for kleptocratic misuse. Automated decision-making tools are now employed to determine bail eligibility, sentencing, and immigration status in some jurisdictions. While AI promises to reduce human error and bias, it often reflects the prejudices of its creators and the institutions that deploy it.

In a kleptocratic setting, AI systems can be engineered, or subtly biased, to favor allies and punish critics. Case prioritization, evidence classification, and even court scheduling can be manipulated to delay justice or fast-track political retribution. The impersonality of AI masks the political intent behind its deployment, making bureaucratic persecution appear objective and fair when it is neither.

Furthermore, automated systems reduce opportunities for appeals or human oversight, particularly when source code and algorithmic logic are deemed proprietary and shielded from scrutiny. This weaponization of digital governance consolidates kleptocratic authority while disempowering the public.

A Systemic Shift Toward Technocratic Tyranny

Perhaps the most dangerous aspect of AI in kleptocratic systems is its normalization. As AI becomes embedded in everyday life, through smart cities, health monitoring, and digital ID systems, the capacity for constant oversight is internalized. Citizens begin to self-censor, conform, and participate in their own surveillance. The state no longer needs brute force; compliance becomes automatic, engineered through convenience and fear.

This is not merely a theoretical concern. The erosion of individual autonomy through AI systems is already evident. When dissenters are deplatformed, when protestors are identified through facial recognition, when transactions are denied for political reasons, these are not isolated incidents. They represent a systemic shift toward digital authoritarianism, dressed in technological progress.

Conclusion

The use of AI to enforce modern kleptocracy reflects a broader crisis in global governance. Far from being a neutral tool, AI amplifies the power of those who control its infrastructure. In corrupt systems, it becomes an instrument of precision oppression; silent, scalable, and self-justifying.

If AI is to serve humanity rather than enslave it, robust safeguards, transparency mechanisms, and international accountability must be established. More importantly, public awareness must rise to meet the challenge. The fight is not just against corruption, it is against a new digital architecture of tyranny. AI, once hailed as a liberator, must not become the invisible jailer of the 21st century.

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