AI's Integration

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AI's Integration develops a structural account of how artificial intelligence is integrating into society at present scale. The argument is organized around six elements — physics, economics, authority, consent, consequence, and responsibility — that together identify the structural shape of AI's integration that single-element analyses miss.

The book's central distinction is between configuration-mode systems, which produce contextually appropriate output without accumulating record that feeds back into what they compute, and trajectory-bearing systems, which integrate experience along their path through time. AI as currently deployed is configuration-mode by architecture; the deploying organization is the trajectory-bearing entity. From this distinction the book derives connected analyses of the externalities AI deployment produces on users, workers, and host communities, the institutional authority it mediates across employment, criminal justice, medicine, education, content moderation, and government services, the consent conditions it systematically violates, the structural finding that articulation without consequence-weighting produces an institutional cover function, and the accountability gap that follows.

One finding shapes everything the book proposes. When an externality is corrected — through repriced insurance, through litigation, through regulatory penalty — the recovered value does not return to the party it was taken from. It moves to insurers, to firms and counsel, to the state. Each mechanism is lawful and each can be defended on its own terms, and none has a structural channel back to the dispersed source. Anyone claiming that the market self-corrects must identify the mechanism by which value returns to the people it was extracted from, not merely that extraction was penalized.

The book closes with mechanism design proposals — eight mechanisms operating at the deployment-and-surplus level — that address the four structural conditions the architectural account names: verification asymmetry, consequence-routing, cost-deposition, and value-capture. Because correction through adjudication routes around the source even when it succeeds, the proposals are direct instruments rather than enforcement regimes. They are extensions to market structure addressing conditions free-market theory presupposes, and they restore distribution without destroying the productive capacity AI deployment generates.

AI's Integration is distinguished from existing AI safety, AI ethics, and AI policy literatures by integrating the elements within a single structural framework. AI deployment produces real productive value; the analytical task is identifying the structural conditions under which the value flows to specific parties while the costs flow to others, and designing mechanisms that correct the asymmetry.

AI's Integration is the concluding volume in Peter W. Meyers' Continuity and Consequence: Physics, Experience, and Institutional Design. Its sister volume, The Ownership Gap, addresses the value side of the same architectural condition; the two share a framework but stand alone as complete arguments.