Surveillance capitalism and state-corporate data extraction erode privacy rights through systemic design of digital infrastructure

Indigenous data sovereignty frameworks, such as the CARE Principles (Collective Benefit, Authority to Control, Responsibility, and Ethics), reframe privacy as a collective right tied to land, culture, and community rather than an individual asset. The Māori concept of 'kaitiakitanga' (guardianship) extends to digital spaces, where data is stewarded for future generations, contrasting sharply with the extractive model of surveillance capitalism. These traditions highlight how privacy is not merely a legal or technical issue but a cultural and spiritual one, rooted in intergenerational responsibility.

The commodification of personal data traces back to 19th-century insurance companies that used actuarial tables to predict life expectancy and price policies, laying the groundwork for risk-based governance. Cold War-era data collection by intelligence agencies like the NSA institutionalized mass surveillance, which later transitioned into corporate hands via the dot-com boom and the rise of 'free' digital services. The 1970s Fair Information Practice Principles (FIPPs) were watered down by corporate lobbying, revealing how legal frameworks are shaped by power asymmetries between citizens and capital.

In Sub-Saharan Africa, digital ID systems like India’s Aadhaar have been repurposed for exclusionary purposes, such as denying welfare to marginalised castes, demonstrating how data extraction reinforces existing hierarchies. Latin American movements like 'Derechos Digitales' advocate for data protection laws that center labor rights and anti-racism, contrasting with the neoliberal emphasis on 'user choice.' Meanwhile, in the Pacific, digital sovereignty movements resist foreign data colonialism by demanding local control over cloud infrastructure and undersea cables.

Research in behavioral economics shows that individuals systematically underestimate the long-term risks of data sharing due to hyperbolic discounting and optimism bias, explaining why 'privacy paradox' persists despite awareness campaigns. Studies on algorithmic bias reveal that data collection practices often encode structural inequalities, as seen in facial recognition systems misidentifying darker-skinned individuals at higher rates. The scientific consensus emphasizes that privacy is not just a matter of encryption or consent but a function of power asymmetries in data governance.

Artists like Trevor Paglen and Hito Steyerl expose the aesthetic dimensions of surveillance, framing data extraction as a form of 'visual violence' where algorithms dictate human worth. In Sufi traditions, the concept of 'ihsan' (excellence) extends to digital conduct, urging users to act with integrity in online spaces, much like the Buddhist principle of 'right action.' These perspectives suggest that privacy is not just a legal construct but a moral and spiritual practice, requiring collective reflection on what it means to live ethically in a datafied world.

Scenario modeling by the World Economic Forum predicts that by 2035, 60% of global GDP will be tokenized, enabling real-time corporate governance of individual behavior through smart contracts and predictive analytics. Futurists warn that the convergence of AI, biometrics, and neurotechnology could lead to 'predictive authoritarianism,' where dissent is preemptively suppressed based on data patterns. Alternative models, such as decentralized identity systems and federated learning, offer pathways to reclaim privacy but require dismantling the extractive logics of surveillance capitalism.

Black and Indigenous communities in the U.S. are 3-5 times more likely to be subjected to algorithmic surveillance in policing and housing, yet their testimonies are rarely centered in policy debates. Migrant workers in the Gulf States face biometric tracking systems that tie residency permits to employer-controlled data, illustrating how digital rights are entangled with labor exploitation. Disabled and neurodivergent individuals are often excluded from 'privacy-enhancing technologies' designed for neurotypical users, further marginalizing their needs in digital governance.