Your behaviour is the raw material. Your prediction is the product.

Literal meaning: Surveillance capitalism is Shoshana Zuboff’s term for the economic logic in which human behavioural data — generated by digital activities, devices, and platforms — is extracted, processed, and sold as prediction products to advertising and other markets. The raw material is human experience; the product is influence over future behaviour.

Origin: Zuboff developed the concept over two decades, publishing the foundational academic paper in 2015 and the full argument in The Age of Surveillance Capitalism (2019). She identifies Google’s 2000–2001 decision to use behavioural data from search queries to target advertising — initially as a side operation, then as the core business model — as the founding moment. The logic then spread to Facebook, the broader platform economy, and beyond, to insurance, finance, healthcare, and physical infrastructure.

The economic logic in which human behavioural experience is claimed as raw material, processed into prediction products, and sold — named and analysed by Shoshana Zuboff in 2019.

The Appeal: Surveillance capitalism funds services that people value and use daily. The commercial logic is coherent: behavioural prediction is valuable to advertisers, and generating it funds the cost of platforms that users do not pay for directly. The trade — free services for behavioural data — produces real value for users.

The Friction: Zuboff’s argument is that the trade is not disclosed, not negotiated, and not consensual in any meaningful sense. Not all collected data serves the same purpose: behavioural surplus is Zuboff’s term for the portion that exceeds what a service actually needs to function — kept not to improve the product, but because it has predictive value on its own. The system is built to keep that surplus invisible. “Our ignorance is their bliss,” as she put it in a 2024 VPRO Tegenlicht interview — resistance grows with understanding, so opacity is the design, not an oversight. Data Brokers are the infrastructure through which the prediction products are assembled and traded, often entirely outside the user’s awareness. Privacy Washing — reassuring rhetoric without substantive protection — is the communication layer. Algorithmic Violence is one documented consequence: prediction products trained on historically biased data reproduce those biases at scale. Dataism is the ideology that makes the extraction seem natural: if data is a neutral good, then extracting it is a neutral act. Van Iperen (2026) identifies a further step: contemporary surveillance has shifted from observation to omgevingsontwerp — environment design. Tech companies draw virtual frames in which specific groups are isolated and steered in a particular direction. The system does not command; it designs the space so that behaviour is directed without coercion or awareness. More surveillance, more power, more manipulation — without a single guard. Hoogenraad (2026) documents a further extension of the logic: Ray-Ban Meta glasses, marketed as a fashion accessory through Kylie Jenner, recruit the wearer as an active node of the surveillance apparatus rather than only its data-subject — capturing other people, normalised through style rather than disclosed as surveillance. The device earned the nickname “pervert glasses” online after repeated reports of non-consensual filming; a recording light meant to signal capture is easy to obscure, and every photo or video routes through Meta’s own servers before the wearer can even access it themselves. De Zwaan (2026) reports what happened when the Dutch Consumentenbond tested that signal: in bright sunlight the recording light is barely visible at the distance where the camera still captures sharp images, and with stickers sold online for exactly this purpose the organisation kept filming without the glasses registering that the light was covered, including after the software updates of early September. Meta’s product page calls the light “bright white”, says it cannot be missed, and states that manipulation is not tolerated. The distance between that claim and the tested device is Privacy Washing with a measurement attached, and it is why the Consumentenbond wants the glasses withdrawn until filming with a covered light is made impossible: the only protection anyone in front of the lens has is a signal the manufacturer describes rather than guarantees. The two accounts of where the recordings end up do not match. In Hoogenraad’s reporting every photo and video passes through Meta’s servers before the wearer can reach it; Meta, quoted by De Zwaan, says recordings stay on the glasses and then move to the wearer’s phone, and that it processes images only when the wearer asks the AI assistant about what it sees. A journalistic reconstruction against a company statement, with no way for the wearer or the person being filmed to establish which one holds. That is the ignorance Zuboff calls the design rather than the accident: a trade cannot be negotiated by people who cannot find out what is being taken. The same recruitment-through-innocence pattern precedes it: Niantic’s Pokémon GO (2016) turned millions of players into a mass location-data-collection instrument through the frame of a game, not surveillance.

Zuboff frames the current moment as comparable to the robber-baron capitalism of the Gilded Age — a “critical juncture” where concentrated, lawless economic power meets an emerging regulatory response, much like the Progressive-era fight against monopolists and trusts. The comparison cuts both ways: it makes the case that surveillance capitalism can be reined in, the way robber-baron capitalism eventually was — but it also sits uneasily with her own claim that surveillance capitalism is unprecedented. If there is already a historical template for unregulated capital seizing a new resource before the law catches up, this is not a new kind of power. It is an old pattern with a new raw material.

Why This Matters: Surveillance capitalism names the economic logic that underlies most of the Platform Mechanisms cluster. Once you see the logic — human experience as raw material — the specific mechanisms (recommender systems, dark patterns, dopamine loops) become legible as components of a single extractive system.

Related terms: Data Brokers · Dataism · Privacy Washing · Algorithmic Violence · Brussels Effect · Attention Economy · Fair Patterns · Informatics of Domination · Vendor Lock-in · “500 million people installed that app in 60 days.”


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Created with AI assistance (Claude, ChatGPT, Lumo) using cartographic prompting — a research method developed within Project Digitale Alertheid, HAN CMD, 2026.