The Handover and the Artificial Agents Already in Charge
David Runciman's The Handover: How We Gave Control of Our Lives to Corporations, States and AIs is useful because it refuses to treat artificial intelligence as humanity's first encounter with nonhuman agency. Modern people have already built long-lived artificial actors, granted them legal powers, routed everyday life through them, and then acted surprised when those actors developed interests of their own. They are called states and corporations.
The Book
The Handover was published by Profile Books in hardback on September 7, 2023, with a 2024 paperback. Profile's publisher page lists the hardback ISBN as 9781788163675, the paperback ISBN as 9781788163682, and the ebook ISBN as 9781782836216. Its central premise is blunt: AI seems new because it is made of computation, but the political problem of living with artificial agency is older than software.
Runciman is well positioned for that claim. The University of Cambridge's Department of Politics and International Studies lists him as Honorary Professor of Politics, former head of the department from October 2014 to October 2018, a former host of Talking Politics, host of Past Present Future, and a scholar of modern political thought, democracy, the state, representation, technology, and democratic politics. The book grows out of that background: it reads AI through Hobbes, corporate personality, democratic institutions, war, markets, delegation, and the long history of collective actors that outlive the individuals inside them.
The Profile preview lays out the book's structure. The introduction is called "States, Corporations, Robots"; later chapters move through superagents, groupthink, life and death, tribes, churches, empires, transformation, ownership, work, and the question of who works for whom. The Edinburgh Futures Institute described the book as a distillation of more than three centuries of thinking about artificial agency. That is the right frame. The book is not only about AI risk. It is about the political habit of creating entities that can act through us and then over us.
The First Handover
Runciman's most productive move is to call the state and the corporation artificial agents without making the comparison cute. These entities are not metaphors in daily life. They own property, sign contracts, sue and get sued, wage war, borrow money, hire workers, collect taxes, buy software, set policy, hold records, and make decisions no single human could make alone. They have names, addresses, rights, obligations, budgets, archives, strategies, and survival instincts.
That first handover made modern life possible. States and corporations coordinate infrastructure, science, finance, health systems, trade, education, war, logistics, and public administration at a scale no household, village, or charismatic leader could sustain. But the same scale creates an old governance problem: a machine made out of humans can become hard for humans to redirect.
This is where the book belongs near Seeing Like a State, Cloud Empires, The Black Box Society, and Autonomous Technology. All four ask what happens when systems built for coordination become systems that define reality for the people inside them. Runciman adds a sharper institutional genealogy: AI does not arrive outside these older actors. It arrives through their procurement offices, cloud contracts, militaries, courts, platforms, schools, hospitals, and corporate roadmaps.
That matters because the AI future is often narrated as a direct confrontation between humans and machines. The more plausible story is triangular. Humans meet AI through institutions. Institutions meet AI through incentives. AI systems reshape the institutions that deploy them, and those institutions then reshape the people who must live under their decisions.
The Institutional Mind
The book's language of artificial agency is especially helpful for thinking about institutional cognition. A state does not think like a person. A corporation does not want like a person. But each can gather information, process signals, allocate resources, pursue goals, defend itself, forget inconvenient facts, and act in ways that no individual participant fully intended.
This is not mysticism. It is bureaucracy, law, accounting, procedure, hierarchy, contract, memory, and interface. An agency knows through forms and databases. A corporation remembers through records, dashboards, institutional routines, and balance sheets. A government sees through censuses, licenses, benefits systems, police reports, tax data, procurement files, and regulated categories. A platform sees through telemetry, logs, profiles, user graphs, ranking metrics, and moderation queues.
AI intensifies this because models can become cognitive middleware inside already artificial agents. A benefits office uses a chatbot at the front desk. A company uses a copilot to draft policy, summarize meetings, triage customers, rank leads, or monitor workers. A police department uses transcription and summarization systems that enter official memory. A hospital uses an AI scribe that turns conversation into record. In each case, model output becomes institutional perception.
The danger is not only error. It is that the institution may treat the model-mediated record as cleaner than the lived event. Once a summary, score, risk flag, generated report, or recommendation enters the file, it can become the thing later actors cite as evidence. The institutional mind has not become conscious. It has become easier to automate.
The AI Reading
Read in 2026, The Handover is a warning against two bad stories. The first says AI is an alien force that suddenly descends on human society. The second says AI is merely a tool and therefore politically neutral. Runciman's older artificial agents make both stories look thin. AI is neither outside society nor simply inside a user's hand. It is being absorbed by powerful entities that already have legal standing, budgets, coercive reach, data access, and reasons to optimize their own survival.
The key question becomes: which artificial agent is being strengthened? A model used by a public agency can either improve service or make administrative discretion harder to contest. A model used by a corporation can either help workers or turn workplace knowledge into surveillance and automation leverage. A model used by a state can either improve capacity or deepen the ability to classify, predict, and intervene. A model used by a platform can either help users navigate information or make the platform's private ordering of reality harder to see.
That question is more useful than asking whether AI will rule us in the abstract. AI rule will usually look like institutional rule with a model inside it. It will look like the benefits chatbot that becomes the front door of the state, the enterprise assistant that becomes corporate memory, the model policy that becomes compliance common sense, the answer engine that becomes public knowledge, the procurement pilot that becomes infrastructure, or the risk score that becomes the reason no one has to take responsibility.
Runciman's book also helps explain why "human in the loop" can be a weak safeguard. States and corporations are already loops made of humans. The issue is not whether a human appears somewhere in the workflow. The issue is whether any human has power to interrupt, appeal, explain, repair, refuse, or be accountable for the system's action.
The Recursive Trap
The recursive pattern is simple. Institutions adopt AI to see and act more efficiently. The AI system formats what the institution can see. Workers, applicants, customers, students, patients, and citizens adapt to the formatted reality. Their adapted behavior becomes new data. The institution then treats the updated data as confirmation that the system understands the world.
This is not hypothetical. Search rankings shape websites; websites then become training material for search and answer systems. Workplace dashboards shape work; the shaped work becomes evidence for future dashboard metrics. Eligibility systems shape how people describe need; the descriptions become administrative truth. Model-generated records shape later investigations; later investigations cite those records as memory. Platform algorithms shape culture; cultural producers adapt to platform incentives; the adapted culture returns as proof of demand.
The Handover is useful here because it identifies the older container for the loop. Recursive reality does not float in the cloud. It is housed in institutions with legal personality, money, infrastructure, and coercive consequences. A bad model can be fixed. A bad institutional arrangement can keep generating new models that reproduce the same priorities.
The practical AI governance question is therefore institutional, not just technical. Who owns the system? Who defines success? Who audits the records? Who can refuse the interface? Who benefits from automation? Who carries the error? Who has standing to challenge the decision? Who can slow deployment when the artificial agent called a corporation or the artificial agent called a state says speed is necessary?
Where the Book Needs Friction
Runciman's analogy is strong, but it should not become too neat. States and corporations are artificial agents, but they are not all the same kind of agent. A constitutional state, a petrostate, a platform monopoly, a nonprofit, a bank, a school district, a church, a military contractor, and an AI lab do not delegate power in the same way. Their legal forms matter. Their histories matter. Their violence, accountability, labor systems, and public obligations differ.
The phrase "we gave control" also needs pressure. Control was not handed over equally or voluntarily. Colonized people, workers, debtors, migrants, welfare recipients, prisoners, patients, and students have often been made legible to state and corporate systems before they had meaningful power to shape those systems. AI extends a very uneven history of delegation.
The book's institutional optimism also needs limits. If states and corporations are the older artificial agents that might restrain AI, they are also the actors racing to deploy it. The state wants security, efficiency, and capacity. The corporation wants scale, rent, data, market power, and defensible margins. Treating these agents as the solution without asking who controls them risks handing the future to the very entities that made the problem administratively attractive.
That does not weaken the book. It clarifies its best use. The Handover should be read as a map of the terrain, not a guarantee that existing institutions will save us. It shows why AI governance has to repair public capacity, corporate accountability, labor rights, procurement, audit power, appeal rights, and democratic oversight at the same time it evaluates models.
What This Changes
The strongest lesson is to stop asking only what AI can do and start asking which artificial agent it empowers.
When a model enters a workflow, name the actor it is serving. Is it serving the affected person, the worker, the public, the agency, the vendor, the platform, the shareholder, the security apparatus, or the institution's desire to make a messy judgment look objective? If those interests conflict, where is the conflict recorded? If the model makes the institution faster, does it also make the institution more answerable?
Then inspect the handover point. What decision, memory, explanation, or relationship is being transferred from situated human judgment into model-mediated process? Can the affected person see the transfer? Can they contest it? Can a worker override it without punishment? Can a public body explain it without hiding behind a vendor? Can the system be removed after dependency forms?
The Handover belongs on an AI reading shelf because it changes the scale of the question. The future is not humans versus machines. It is humans living among artificial agents old and new, some made of law and bureaucracy, some made of capital and contract, some made of models and data centers. The political task is to keep those agents from using one another to make human judgment ornamental.
Sources
- Profile Books, The Handover, publisher record for hardback, paperback, ebook, and audiobook editions, publication dates, ISBNs, description, author note, and review excerpts, reviewed June 15, 2026.
- Profile Books, The Handover preview PDF, copyright page, ISBNs, table of contents, introduction excerpt, and opening chapter excerpt, reviewed June 15, 2026.
- University of Cambridge Department of Politics and International Studies, "Professor David Runciman", academic profile, roles, research interests, fellowships, and publication list, reviewed June 15, 2026.
- Edinburgh Futures Institute, "Handing Over Control with David Runciman", October 20, 2023 event page with book framing, author biography, and AI ethics context, reviewed June 15, 2026.
- Tim Adams, "The Handover by David Runciman review - is the future out of our control?", The Guardian, September 10, 2023, review and summary of the book's AI, state, corporate-power, and Hobbesian arguments.
- Blake Smith, "Cyborgs Old & New", Literary Review, review of The Handover and its argument about modern states, corporations, AI, surveillance, and collective action.
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- Amazon, The Handover by David Runciman.