Blog · Review Essay · Last reviewed June 15, 2026

The Internet in Everything and the Control Network

Laura DeNardis's The Internet in Everything: Freedom and Security in a World with No Off Switch is a governance book about the moment when the internet stops being a communications layer and becomes part of cars, homes, medical devices, factories, energy systems, payment rails, toys, cameras, and bodies. Its AI-era value is direct: machine intelligence cannot be governed only at the model layer when the network it acts through has already entered the physical world.

The Book

The Internet in Everything was published by Yale University Press in 2020. The Yale listing gives the hardcover at 288 pages, with print ISBN 9780300233070 and ebook ISBN 9780300249330. Oxford Academic's Yale Scholarship Online record places the book in public policy and summarizes its central claim: the diffusion of internet connectivity into physical systems escalates governance problems around privacy, discrimination, safety, democracy, and national security.

JSTOR's table of contents shows the structure clearly: "After the Internet," "The Cyber-Physical Disruption," "Privacy Gets Physical," "Cyber-Physical Security," "Interoperability Politics," "The Internet Freedom Oxymoron," "Disruptions to Global Internet Governance," and "The Cyber-Physical Policy Moment." That sequence matters. DeNardis is not writing a gadget book. She is writing about the political architecture of connected matter.

The author is an internet governance scholar whose work has long focused on the hidden technical arrangements that decide public outcomes. Yale's publisher page identified her at publication as a professor in American University's School of Communication and author of The Global War for Internet Governance. Her current author page lists her as an endowed professor of Technology, Ethics, and Society at Georgetown University and director of Georgetown's Center for Digital Ethics. The book sits in that tradition: infrastructure first, politics already inside it.

From Communication to Control

The book's strongest move is to treat the Internet of Things as a change in kind, not merely a change in scale. A screen-based internet mostly mediated symbols: messages, documents, pictures, video, money, identity, attention. A cyber-physical internet mediates consequences: door locks, insulin pumps, cars, thermostats, industrial sensors, cameras, drones, logistics systems, farms, hospitals, and energy grids.

That shift changes what governance means. A moderation mistake on a social platform can ruin reputations, distort public knowledge, or incite harm. A failure in a connected medical, mobility, or infrastructure system can injure bodies directly. A compromised camera network, traffic system, building control, or industrial device can become a surveillance layer, attack surface, labor monitor, or coercive instrument.

This is why the phrase "no off switch" is not just dramatic packaging. The old user could log off in theory, even if platform dependence made that hard in practice. The cyber-physical user often cannot. Connected systems are embedded in rented apartments, workplaces, schools, streets, cars, public benefits offices, hospitals, warehouses, and municipal infrastructure. Opting out becomes less like leaving a website and more like refusing the built environment.

The Body as Endpoint

DeNardis's examples matter because they move the internet from the abstract public sphere into ordinary vulnerability. Wearables turn bodies into data emitters. Cardiac monitors and medical devices bring network security into care. Smart homes make domestic space visible to vendors, police requests, landlords, abusers, and compromised accounts. Connected cars and drones make mobility and surveillance part of the same technical field.

The LSE Review of Books account emphasizes this loss of a clean boundary between virtual and physical life. That is the hinge for AI governance. A system that classifies text is different from one that classifies a pedestrian, redirects a vehicle, adjusts a medication workflow, flags a worker, unlocks a door, or routes an emergency response. The question is no longer only whether a model knows. It is what the connected environment lets that model do.

This also changes the meaning of legibility. Networked devices do not merely observe. They format reality into machine-actionable traces: location, movement, temperature, pressure, images, heart rhythms, proximity, voice, payment, presence, energy use, and machine state. Once the world is captured this way, institutions can score it, automate it, insure it, police it, price it, deny it, optimize it, or claim it as evidence.

Privacy Gets Physical

The privacy chapter title is exactly right: privacy gets physical. In a browser, privacy harm can already be serious, but the object being tracked is often a profile. In cyber-physical systems, the profile is joined to rooms, bodies, vehicles, tools, workplaces, and neighborhoods. The record is no longer only about what someone read or clicked. It can include where they slept, how they moved, when they opened the door, how fast they drove, which shelf they scanned, what machine they touched, or whether a device inferred distress.

Consent breaks down under those conditions. A visitor does not meaningfully consent to every microphone, camera, sensor, router, badge reader, and smart appliance in a room. A worker does not freely bargain with every wearable, fleet tracker, warehouse scanner, or productivity sensor when employment depends on compliance. A tenant does not control every connected lock or utility sensor. A patient may have no practical alternative to networked care infrastructure.

The International Journal of Communication review is useful here because it notes the book's tension: cyber-physical systems can create real benefits while also producing severe privacy, security, and human-safety complications. The point is not to reject every connected device. The point is to stop pretending individual choice can govern a public infrastructure that surrounds people before they can evaluate it.

Standards as Politics

One reason the book belongs beside media theory and platform governance is its attention to interoperability. Technical standards can sound neutral until they decide who can connect, who can inspect, who can repair, who can exit, which vendor controls an ecosystem, and which security assumptions travel across devices. In the cyber-physical world, compatibility is not a convenience feature. It is a political settlement.

Closed systems can make people dependent on one vendor for devices that mediate safety, mobility, home life, or work. Open systems can improve repair and competition, but can also enlarge attack surfaces if governance is weak. Fragmentation can limit systemic failure, but it can also trap users in incompatible silos. There is no purely technical answer because every architecture distributes power differently.

This is the institutional lesson: technical governance becomes constitutional before most publics notice. Naming protocols, standards bodies, certification regimes, update policies, security disclosures, procurement rules, and liability arrangements is not boring housekeeping. It is how control over connected reality is allocated.

The AI Reading

Read from 2026, The Internet in Everything is a precondition for serious AI governance. Models act through infrastructure. Agentic systems need accounts, APIs, sensors, databases, permissions, payment rails, robots, cameras, browsers, devices, and institutional workflows. The more connected the world becomes, the more an AI system can become a control surface for that world.

This changes the risk model. A hallucinated answer is one class of failure. A hallucinated answer routed through a connected medical workflow, building system, police dashboard, vehicle interface, industrial controller, or benefits portal is another. When intelligence is attached to cyber-physical infrastructure, errors can become actions; actions can become records; records can become institutional truth.

The recursive loop is straightforward. Sensors make the world legible. Models interpret the legible world. Institutions act through the interpretation. Those actions reshape behavior and infrastructure. The changed world produces new sensor records, which then appear to confirm the system's model of reality. A smart city, warehouse, hospital, school, or border checkpoint can become a feedback machine long before anyone calls it artificial intelligence.

This is also why AI safety cannot be only a matter of model alignment or benchmark performance. It has to include permissions, failover, logging, redress, physical safety, procurement, labor process design, vendor lock-in, incident disclosure, repair rights, public-sector capacity, and the ability to disconnect without losing ordinary life.

Where the Book Needs Friction

The book is strongest at the infrastructure and governance layer, which means readers should pair it with accounts of labor, race, disability, housing, policing, and environmental extraction. Connected infrastructure does not touch everyone in the same way. A smart thermostat in an owner-occupied home, a surveillance camera in public housing, a delivery scanner in a warehouse, a GPS ankle monitor, and a networked medical device all raise different questions of power and exit.

It also predates the current generative-AI wave. That is not a defect, but it means the reader has to extend the argument. DeNardis gives the networked control environment. Today's AI systems add synthetic interpretation, automated summarization, adaptive interfaces, agentic action, and predictive governance on top of that environment.

Finally, the book can make the cyber-physical shift feel nearly inevitable. A little resistance is useful. Connected devices are often sold as convenience before they become dependency. Procurement, standards, right-to-repair law, public alternatives, security requirements, and refusal can still shape what gets connected and on whose terms.

What This Changes

The practical lesson is to audit the physical internet before adding machine intelligence to it. Ask what a connected system can sense, what it can change, who owns the records, who can inspect the code path, who can repair or disable it, what happens when the network fails, and how a harmed person can contest an automated action.

For institutions, the book reframes AI deployment as cyber-physical governance. A model inserted into transport, medicine, housing, policing, logistics, education, elder care, utilities, or workplace management is not just software. It is a decision layer attached to material dependency.

The Internet in Everything changes the default question from "is this device smart?" to "what kind of control network does this device join?" That is the right question for the next generation of AI systems. Intelligence that can only speak is already politically complicated. Intelligence connected to everything needs an off switch, an audit trail, and a public theory of who gets to touch the world through the network.

Sources

Book links are paid affiliate links. As an Amazon Associate I earn from qualifying purchases.

Search on Amazon Browse Books

Return to Blog · Return to Books