The Coming Wave and the Problem of Containment
Mustafa Suleyman and Michael Bhaskar's The Coming Wave is an insider's warning about artificial intelligence, synthetic biology, and the institutional problem of keeping powerful general technologies under human control. Its value is not that it solves containment. Its value is that it names containment as a political, technical, and psychological dilemma at once.
The Book
The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma was published by Crown in 2023. Penguin Random House lists the hardcover at 352 pages, with Mustafa Suleyman as author and Michael Bhaskar as collaborator. Suleyman co-founded DeepMind and later became CEO of Microsoft AI; the publisher describes the book as an urgent warning about AI and other fast-developing technologies, especially the problem of containing them while there is still time.
The book's pairing of AI and synthetic biology is its most important move. Suleyman is not writing only about chatbots, model benchmarks, or the next product cycle. He is writing about tools that make intelligence and living systems more programmable, cheaper to manipulate, and easier to distribute. That combination gives the book a wider field of concern than ordinary AI commentary: biosecurity, state capacity, asymmetric power, automation, surveillance, open research, chips, cloud infrastructure, and the incentives of companies trying to build faster than regulators can understand.
This is why the book belongs beside work on platform power, legibility, cybernetics, and surveillance capitalism. Its subject is not technology in isolation. Its subject is the loss of governing distance. Institutions are trying to regulate systems that also become part of how those institutions know, decide, police, fight, treat, persuade, and plan.
What the Wave Metaphor Does
The central image is a wave: a force that gathers from many sources, arrives faster than expected, and cannot simply be wished away. The metaphor has force because it captures diffusion. A single invention can be constrained; a general-purpose stack that improves other stacks is harder to hold in place. Large language models feed programming, research, design, cyber operations, drug discovery, education, administration, and propaganda. Synthetic biology feeds medicine, agriculture, materials, climate intervention, and potentially harm.
The metaphor also carries danger. A wave can make technological direction feel natural, oceanic, and inevitable. If a system is imagined as weather, political choices disappear into fatalism. Investors, labs, and states become surfers rather than authors. That is where readers need caution. The book argues for containment, but its own imagery sometimes risks making containment feel like heroic resistance against nature rather than governance over choices made by specific institutions.
The better reading is to treat the wave as a map of coupling. AI does not just become more capable. It makes other domains move faster. Biology does not just become more programmable. It becomes more dependent on computation, automation, and global supply chains. The political problem is not one machine. It is the interaction of machines, markets, states, labs, and narratives that teach everyone what is supposedly unavoidable.
Containment as a Governance Problem
Suleyman's strongest claim is that containment is both necessary and structurally difficult. The technologies he worries about are general, fast-improving, increasingly autonomous, and capable of asymmetric impact. National Defense University Press summarizes the book's focus as the problem of containing unforeseen consequences from a radical expansion of individual and group power. Issues in Science and Technology notes the tension built into the book's structure: containment appears impossible, then necessary, then partially actionable through a set of proposed steps.
That contradiction is not a flaw to dismiss. It is the actual condition of AI governance. If a society waits for certainty, the systems will already be embedded. If it acts too early, it risks capture, overreach, stagnation, or theatrical rules that only smaller actors obey. If it centralizes power to control AI, it creates new surveillance and state-abuse risks. If it refuses centralization, it may leave public safety to vendor promises and competitive pressure.
This is why containment cannot mean a single lock. It has to mean layered friction: safety engineering, audits, liability, procurement discipline, export controls, lab security, incident reporting, compute governance, biosecurity standards, independent research, worker voice, democratic oversight, and public refusal rights. None of these is sufficient. Together they create more surfaces where runaway capability can be slowed, inspected, redirected, or contested.
Recursive Capability
The book is most useful when it describes technologies that help produce more technology. AI can assist coding, design experiments, summarize research, automate cyber tasks, generate persuasive media, and reduce the cost of expertise. Synthetic biology can turn information into material intervention. The result is a recursive capability loop: tools improve the conditions for building stronger tools.
That loop matters for belief formation as much as for engineering. Powerful systems do not only change what users can do; they change what users think is possible, necessary, and normal. A model that drafts a policy, ranks a risk, designs an experiment, or simulates an audience becomes part of the institution's imagination. It narrows some futures and makes others feel obvious. The interface becomes a planning environment, then a dependency, then a source of authority.
Containment therefore has a cognitive dimension. A society has to contain not only dangerous outputs but also premature surrender to machine inevitability. It has to preserve the human capacity to say: this deployment is illegible, this delegation is too broad, this automation weakens apprenticeship, this product converts intimacy into leverage, this risk score should be appealable, this model should not be treated as a public oracle.
The Institutional Trap
The book's recurring institutional dilemma is that AI and synthetic biology pressure both sides of the state. Weak states may fail to contain dangerous diffusion. Strong states may use the same tools for surveillance, control, military advantage, and bureaucratic expansion. Axios reported Suleyman's warning that AI could help autocratic governments centralize power and intensify surveillance, while also expanding the attack surface around those regimes.
That double movement is already visible in ordinary institutional life. A government buys AI for fraud detection and creates new opacity for citizens. A school adopts AI tutors and risks weakening human apprenticeship. A hospital uses automation to triage care and may hide value judgments inside workflow software. A company deploys assistants to increase productivity and quietly turns workers into monitored operators of vendor infrastructure.
The Coming Wave is best read as a warning against both naive openness and naive control. Open diffusion can empower researchers, small firms, journalists, disabled users, and public-interest builders. It can also empower fraud, cybercrime, bioterror speculation, and unaccountable deployment. Centralized control can support safety testing, coordination, and accountability. It can also harden monopoly, censorship, and security-state reflexes. The task is not to pick a slogan. It is to design institutions that can distinguish capability from legitimacy.
Where the Book Needs Friction
The book's weakness is its insider altitude. Suleyman is unusually candid for a technology executive, and reviewers have noted the value of his historical sweep and practical proposals. But the same perspective can understate the labor, data, and institutional harms already produced by the systems whose future risks he foregrounds. Washington Post reviewer Noah Giansiracusa praised the book as expansive and historically rooted while also faulting it for assumptions about exponential progress, limited attention to the human cost of AI, and a questionable posture toward open source.
The wave frame also needs social detail. Who gets automated first? Who labels the data? Who absorbs moderation trauma? Who loses an entry-level path into competence? Who is denied benefits by a risk score? Who lives near the data center or under the surveillance system? Far-future containment can become evasive if it floats above present extraction.
The book should therefore be read with Atlas of AI, Automating Inequality, Behind the Screen, Programmed Inequality, and Power and Progress. Suleyman gives a strategic problem statement. Those books supply the ground truth of matter, labor, classification, and power.
The Site Reading
For this site, The Coming Wave is a book about authority arriving through usefulness. The most dangerous systems are not always the ones that announce domination. They are the ones that make themselves necessary: to search, decide, monitor, design, teach, diagnose, persuade, and govern.
The containment problem is not only whether humanity can keep future super-systems from escaping control. It is whether ordinary institutions can resist the smaller daily surrender by which control is handed away. A dashboard becomes the measure of reality. A model output becomes the first draft of policy. A safety case becomes a sales document. A chatbot becomes the front door to care. A synthetic consensus starts to feel like public opinion.
The book's best contribution is its insistence that technical power needs active political imagination before crisis. Its weakest temptation is the belief that the people building the wave can also be trusted to define the shoreline. A serious containment politics has to include builders, but it cannot be governed by builder psychology alone. It needs workers, publics, auditors, courts, researchers, teachers, patients, and people with the right to refuse systems that classify or replace them.
Read this way, The Coming Wave is less a final answer than a useful pressure test. Any institution that says it has an AI strategy should be able to answer a few concrete questions: what capabilities are being delegated, what harms are being made irreversible, who can inspect the system, who can appeal, who benefits from speed, and what human capacity is being preserved rather than merely simulated.
Sources
- Penguin Random House Secondary Education, The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma publisher page.
- Noah Giansiracusa, The Washington Post, review of The Coming Wave, September 5, 2023.
- Scott Shapiro, The Guardian, review of The Coming Wave, September 8, 2023.
- Carl Mitcham and Michael J. Fuchs, Issues in Science and Technology, "AI's Wave", Summer 2024.
- Peter Khooshabeh and Robert Underwood, National Defense University Press / Joint Force Quarterly, review of The Coming Wave, 2025.
- Ina Fried, Axios, "DeepMind cofounder Mustafa Suleyman says we need a containment strategy for AI", September 6, 2023.
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