A Prehistory of the Cloud and the Infrastructure That Pretends to Disappear
Tung-Hui Hu's A Prehistory of the Cloud is a media-theory genealogy of an infrastructure that succeeds by vanishing from attention. Its AI-era value is direct: models, agents, assistants, and synthetic memory systems feel placeless because cloud systems have trained users to experience remote institutions, energy, labor, security, and data capture as a smooth local interface.
The Book
A Prehistory of the Cloud was published by MIT Press in 2015, with the paperback following in 2016. MIT Press lists the paperback at 240 pages and describes the book as an account of the digital cloud's militarized legacy: how cloud computing grew from older network technologies, older metaphors, and older forms of power. Internet Archive's bibliographic record separately lists the 2015 hardcover as xxix plus 209 pages, with subjects in computer-network history and the social aspects of the internet.
Hu is especially useful because he writes from both technical and literary positions: a former network engineer, a poet, and a scholar of media. The result is not a conventional business history of cloud computing. It is an archaeology of the cloud as image, infrastructure, security fantasy, control system, and way of producing the person who interacts with it.
The book belongs beside The Stack, The Metainterface, Cloud Empires, The Costs of Connection, and the site's data-center essay. Those works ask how platforms, interfaces, extraction, and physical sites become political arrangements. Hu adds the missing prehistory: the cloud did not arrive as a clean break. It grafted itself onto older systems of transport, broadcast, storage, command, surveillance, and security.
Vanishing Infrastructure
The cloud's first trick is aesthetic. It presents itself as atmosphere: light, remote, available, elastic, and strangely nowhere. Hu keeps pulling that metaphor back toward material things: data centers, cooling systems, fiber routes, time-sharing computers, television circuits, military bunkers, network diagrams, security checkpoints, and the practices that make all of this feel ordinary.
That matters because invisibility is not just a user-experience choice. It is a governance condition. When infrastructure disappears into a friendly icon, ordinary political questions become harder to ask. Where is the data? Who owns the machine? Which jurisdiction applies? What happens during failure? Who pays the electricity bill? Who is excluded by latency, price, verification, or terms of service? What institutions can inspect the system?
Hu's strongest move is to show that virtualization does not mean unreality. It means a real physical arrangement has been made operable through a representation that hides most of its conditions. A cloud drive, a sync button, a streaming service, or an AI assistant is not less real because it is virtualized. It is more politically slippery because the interface lets distant systems act as if they were immediate.
The User as Political Form
The book also clarifies the word user. A user is not simply a person with access. A user is the form of person a system can address, authenticate, meter, profile, isolate, support, monetize, suspend, and blame. LARB's Kevin Driscoll highlights Hu's argument that cloud systems train people to understand shared infrastructure as personalized service rather than common terrain. That shift weakens the move from private convenience to public claim.
This is one reason the cloud remains politically underdescribed. People experience it as their files, their account, their feed, their cloud, their saved history, their private backup, their assistant. But the same infrastructure aggregates user action into data streams, platform dependency, security policy, advertising systems, model training, procurement markets, and state access.
The individual interface can be sincere and useful while the aggregate system becomes a machine for enclosure. A person uploads, syncs, tags, prompts, saves, searches, and shares. The system turns those acts into storage demand, behavioral records, access control, recommendation inputs, and evidence. The public problem is assembled through private acts that were designed to feel like service use rather than citizenship.
The AI-Age Reading
Read in 2026, A Prehistory of the Cloud looks like a prehistory of AI infrastructure. Generative systems make the old cloud metaphor even more persuasive. The answer appears in a chat window. The image appears in a panel. The meeting summary arrives in the workspace. The agent takes an action through a browser or connector. The experience is intimate, but the machinery is planetary.
That machinery includes data centers, chips, interconnects, power contracts, cooling, training data, contractor labor, model weights, safety filters, logging, retrieval systems, identity layers, compliance tooling, and vendor roadmaps. The interface does not show that machinery because the product depends on a feeling of immediacy. The user asks; the system answers. Hu's book teaches that this immediacy is an achieved illusion, not a neutral fact.
The AI turn also intensifies the problem of memory. Cloud storage made remote records feel permanent, private, and recoverable. AI systems make remote records actionable: searchable by embedding, summarized by assistants, routed through agents, retained as context, and recombined into new outputs. The issue is no longer only where information rests. It is what information can be made to do after it has been captured.
This is why cloud politics cannot be separated from AI governance. A model platform is not merely software hosted somewhere. It is a cloud institution that can observe work, mediate public services, become the procurement path for states, and turn organizational memory into a service dependency. The question is not whether the cloud is physical or virtual. It is how the virtual layer lets physical institutions act at a distance while users experience the action as a local answer.
Where the Book Needs Friction
The book's breadth is also its risk. The cloud can become too elastic a term, especially when it is made to cover networks, storage, platforms, data mining, surveillance, security architecture, military power, and user identity at once. Driscoll's LARB review is helpful on this point: Hu is strongest when the analysis stays specific, and less convincing when the cloud expands into a general name for digital society.
Critical Inquiry's Steven Shaviro raises another useful limitation: the book could say more about surplus extraction and capital accumulation. That matters even more now. The AI cloud is not only a security and media system. It is also a market structure built around hyperscale capital expenditure, model access pricing, cloud credits, enterprise lock-in, procurement dependency, and private ownership of the means of cognition.
The book also predates the current generative-AI buildout: frontier-model data centers, specialized accelerators, model APIs, agent platforms, sovereign-AI procurement, and the electricity politics of inference demand. That does not make it obsolete. It makes it a grammar. Readers still need newer work on platform monopoly, data labor, energy, chip supply chains, and AI procurement to finish the picture.
What This Changes
The practical lesson is to govern the cloud as infrastructure, not as ambience. If an AI system depends on remote compute, remote memory, remote identity, and remote policy, then governance has to follow those dependencies into the places where they are actually controlled.
That means data-center permitting, water and energy disclosure, public procurement rules, audit access, source and retention controls, clear incident reporting, exit rights, portability, contestability, worker protections, and public options where basic services should not depend on a private platform's continued favor. It also means asking whether a system is creating users where a public needs citizens, members, patients, students, workers, or residents with rights.
A Prehistory of the Cloud remains valuable because it gives readers a disciplined suspicion of seamlessness. The smoother the interface, the more important it becomes to ask what has been hidden for the smoothness to work. In the AI era, that question reaches from the chat window to the power grid, from the account page to the bunker, and from the personal assistant to the institutions that decide what the assistant is allowed to remember, say, and do.
Sources
- MIT Press, A Prehistory of the Cloud paperback page, publication details, description, author note, and praise, reviewed June 14, 2026.
- Tung-Hui Hu, official book page for A Prehistory of the Cloud, author description and reception notes, reviewed June 14, 2026.
- Steven Shaviro, review of A Prehistory of the Cloud, Critical Inquiry, February 25, 2016, reviewed June 14, 2026.
- Kevin Driscoll, "Cloudy With a Chance of Dystopia", Los Angeles Review of Books, August 14, 2016, reviewed June 14, 2026.
- Mina Momeni, review of A Prehistory of the Cloud, Digital Scholarship in the Humanities, vol. 33, no. 4, December 2018, pp. 919-920, reviewed June 14, 2026.
- Internet Archive, A prehistory of the cloud bibliographic record, edition metadata and subject records, reviewed June 14, 2026.
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