Peter W. Meyers

This book develops a structural account of artificial intelligence's integration into society organized around six elements: physics, economics, authority, consent, consequence, and responsibility. The central distinction is between configuration-mode systems, which produce contextually appropriate output without integrating accumulated record across operations, 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, the institutional authority it mediates, 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. The argument advances in stages. The physics element establishes the configuration-mode/trajectory-bearing distinction, grounds it in the integration-depth analysis developed across the Continuity and Consequence series, and engages substrate-additive frameworks (Vedral; Penrose-Hameroff) at the level the book's structural argument requires. The economics element identifies three externality forms (positive externalities through value capture from contributions; negative externalities through cost-deposition on users; negative externalities through routing through host communities) and explains why each takes the form it does under the architectural condition. The authority element examines AI-mediated institutional decisions across employment, criminal justice, medicine, education, content moderation, and government services, with the autonomous-actor framing operating as discursive cover for routing through configuration-mode entities that do not bear consequence. The consent element identifies three structural conditions for meaningful consent (epistemic access, meaningful alternative, durable position) that AI deployment systematically violates. The consequence element develops the structural finding at full scale: configuration-mode systems articulate output without bearing the costs the output produces, and the institutional cover function follows. The responsibility element identifies the accountability gap and develops mechanism design proposals — eight mechanisms operating at the deployment-and-surplus level — that address the four structural conditions (verification asymmetry, consequence-routing, cost-deposition, value-capture) the architectural account names. The book is the concluding volume in Peter W. Meyers' Continuity and Consequence series. Its sister volume, The Ownership Gap, addresses the value-side of the same architectural condition; the two volumes share a framework but stand alone as complete arguments.

This book argues that the digital revolution produced not only technological transformation but a structural narrowing of the conditions under which experience, understanding, and responsibility can exist. Drawing on four decades of professional software systems development, it traces the progressive thinning of irreversible integration — the process by which interaction becomes record and record becomes the basis of continuity — from the age of signal through abstraction, mechanization, and digital computation to the present. The central claim is that analog and digital describe not merely signal types but structural architectures. Analog systems integrate irreversibly: each state carries the cost of its history, and continuity is maintained through transformation. Digital systems copy: configuration is preserved while continuity is severed, and history is erased between cycles. This distinction, grounded in physics and neuroscience, explains why seventy years of computational progress have produced extraordinary capability without producing understanding — and why the barrier between intelligence and experience is architectural, not technical. The book develops this argument through three movements. The first (Chapters 1–8) traces the historical arc from vibration and embodied perception through industrial mechanization, visual media, acoustics, and the institutionalization of abstraction in education and corporate culture. The second (Chapters 9–11) pivots to structural analysis, arguing that growth is a cognitive illusion rooted in optimization's tendency to shed experiential weight, that resonance is the physical mechanism of irreversible integration, and that intelligence and experience scale independently under different structural conditions. The third (Chapters 12–16) applies this framework to planetary systems, energy, biological computation, responsibility, and the ethics of attention — presenting emerging evidence from organic memristors, crystalline data storage, and living neuronal cultures (DishBrain) as the first computational substrates capable of irreversible integration. A companion work, *The Experiential Field: Experience, Continuity, and the Fabric of Reality*, provides the formal philosophical framework that undergirds this book's claims. The two works are independent but complementary.

This book identifies and analyzes a structural condition in contemporary capital formation termed the ownership gap: the divergence between those who materially contribute to the formation of durable capital systems and those who hold residual ownership claims over the resulting assets. The argument proceeds in four stages. First, it examines how codification, persistent measurement, and large-scale aggregation transform distributed human participation into formative input at the capital formation stage — a threshold at which activity becomes asset without altering ownership. Second, it identifies two engines that drive this divergence: automation without continuity, which transfers accumulated expertise from human actors into owned infrastructure, and participation as infrastructure, which converts ongoing human activity into the substrate of durable capital systems. Third, it evaluates why the policy instruments most commonly proposed in response — competition enforcement, income redistribution, consent mechanisms, and jurisdictional containment — are structurally downstream of the formation stage and do not address the origin of asymmetry. Fourth, it introduces the Human Capital Trust as a directional institutional construct, identifies three structural features distinguishing ownership-based correction from antitrust and redistributive instruments, and specifies operational dimensions for governance, beneficiary determination, and surplus-flow accounting. The ownership gap is distinguished from adjacent arguments concerning wage suppression, market concentration, and behavioral surveillance. It is an architectural condition, embedded at the moment capital forms and shown to compound over time through persistence, irreversibility, and intergenerational transmission of ownership claims. The paper argues that ownership categories, which have historically evolved in response to shifts in capital formation logic, may require recalibration under contemporary conditions of digital capital accumulation.

This book develops a constraint-based ontological framework in which experience is not an emergent property of sufficient complexity but a structural feature of any fabric that supports irreversible integration — the accumulation of interaction into self-constraining, history-bearing states. The argument proceeds without invoking dualism, panpsychism, or teleology. Part I establishes that persistence requires reproduction rather than copying, that identity is constituted by irreversible trajectory rather than configuration, and that existing physical frameworks leave the structural conditions for experience unaddressed. Part II introduces the Experiential Field — the capacity of the universe's fabric to integrate interaction into irreversible, internally accessible states — and reframes quantum measurement as record formation rather than observation. Part III examines how experiential integration scales by degree without implying agency, and distinguishes the framework from panpsychism by arguing that experience depends on integration depth, not on the mere presence of matter. It develops this scaling into the Recursive Integration Scale, which grades integration into distinct kinds and depths and situates trees, animals, humans, and machines by what they integrate rather than by category. Part IV addresses intelligence without experience, arguing that responsibility follows integration rather than capability — a distinction with direct implications for artificial intelligence. Part V extends the analysis to culture, meaning, and continuity, examining what persists when the conditions for experience become optional. The framework is interpretive rather than predictive. It proposes no new physical mechanisms and remains compatible with block universe, relational, and process-oriented interpretations of time. Its central claim is that irreversible integration carries ontological weight, and that any complete account of reality must reckon with the structural conditions under which experience persists. The work was developed independently over several decades of observation and sustained engagement with the physical sciences; it does not derive from any single philosophical tradition.