Intelligence saturates one layer at a time. It reaches the digital layer first, then the physical layer through cyber-physical systems and robotics, then the atomic layer through programmable matter and synthetic biology. Each layer it reaches becomes pricable at granularity that was infeasible before. The mechanism is the same one that vindicated Seth Godin's stamps for email twenty-nine years late: when the running actor of a layer changes, per-event accounting at sub-cent resolution becomes possible, and the things that did not have explicit prices because their granularity was too small for human-scale transaction begin to acquire prices.
The result is that pricing saturates the universe in step with intelligence saturating the universe. The formerly unpriced gets prices. The formerly priced gets repriced at finer granularity. The market boundary expands into domains that no historical market expansion has reached, because no prior compute layer could carry the metering. Capitalism in the conventional definition (ownership plus markets plus accumulation) is doing what Polanyi's great transformation did to land, labor, and money in the nineteenth century, but at a different layer and across more domains simultaneously. The piece is the brainstorm of what this looks like across enough domains to make the pattern visible.
A second observation is structurally connected and worth holding alongside. The USA economy is positioned as the running infrastructure of the new pricing layer because the dollar is the unit of account, the frontier-AI labs are clustered there, the cloud and chip stacks are concentrated there, and the GENIUS Act of July 2025 puts dollar-backed stablecoin compliance under US jurisdiction. The positioning is not destiny, but the structural-default trajectory under no intervention is that pricing-of-everything denominates in dollars and rents to dollar-denominated infrastructure. That is exorbitant privilege at micro-transaction resolution.
A third observation, downstream of the prior two: an open web is the structural-default outcome of this transition, not because anyone is defending it, but because open content is the lowest-friction shape for citation-driven per-event pricing. The mechanism is in The Fediverse Was for Agents and The Second Personal Computing Phase Change; the consequence at the publishing-architecture layer is that walled content loses citation flow and open content compounds. The pricing-of-everything frame extends the consequence: open content is the most efficient form of priced flow, not just at the publishing layer but at every layer pricing reaches.
The piece walks the mechanism, the multi-domain inventory of what gets priced, the granularity ratchet, the dissolution of the historical capitalism-vs-commons dichotomy, the USA-positioning observation, the open-web consequence, the boundary question (what resists pricing), the atomic-layer extension, and the risks. The breadth is the point. Operator's instruction was to brainstorm a lot.
A partial inventory by domain. Each is a starting place for downstream nodes.
Attention. Already partially priced via advertising. The new layer prices attention at per-second resolution rather than per-impression. Eyeball cost moves from per-banner-load to per-millisecond-of-fixation. The attention-economy 2.0 operates at finer resolution than the attention-economy 1.0 because the agent layer can meter human visual focus at the granularity that was previously infeasible.
Citation flow. When an agent retrieves from a public-web source and the source gets a per-citation micro-payment via something like the HTTP 402 mechanism, citation becomes a priced flow. Open content captures revenue per citation; walled content does not get cited. This is the mechanism named in The Fediverse Was for Agents; here it generalizes beyond the publishing layer.
Verification and ground-truth. Per-fact verification, per-source citation chain, per-claim adjudication. As agent-mediated content fills the public surface, the demand for verification that this-claim-is-real becomes priced. Verification-as-a-service emerges. Fact-checking shifts from normative practice to priced flow.
Reputation and trust. Per-interaction trust accounting becomes feasible. Agent-readable reputation ledgers per actor. Trust as a priced asset. Reputation arbitrage between platforms that price differently.
Privacy and personal data. Per-data-row pricing. Per-event data sale. The current default of bulk-data-collection-with-consent dissolves into per-transaction negotiation between the data subject and the buyer, mediated by agents on both sides.
Civic participation. Quadratic voting and quadratic funding implementations are early instances of per-civic-action pricing. Per-vote pricing is taboo and conceivable. Per-petition signing, per-comment-period filing, per-council-meeting attendance can all be priced.
Conversation and company. Per-minute conversation pricing for AI companions. Loneliness markets emerge. Friendship-as-a-service offered alongside therapy-as-a-service and mentorship-as-a-service.
Climate and ecological services. Per-emission carbon accounting at per-source granularity. Per-acre conservation pricing per second. Per-ppm air quality pricing. Per-liter water pricing. Pollination, water filtration, carbon sequestration as priced ecosystem services. Whether this enables conservation or enables enclosure of ecological commons depends on who controls the pricing layer and the answer is being negotiated now.
Wildlife and biodiversity. Per-species protection pricing. Per-hectare habitat pricing. Conservation as a priced market that competes with extractive uses for the same land.
Care and emotional labor. Per-event care pricing at finer granularity than the per-hour system that exists today. Per-moment of mentorship. Per-incident emotional labor. Care work commodified at granularity that disturbs many people, including a substantial fraction of the people who do care work.
Religious and spiritual practice. Per-meditation app session, per-spiritual-direction event, per-prayer subscription. Religious practice either enters the priced market or stays outside it as a marker of authenticity. Both happen, in different traditions and different sub-traditions.
Death, hospice, palliative care. Per-day life extension pricing at higher granularity than the current per-procedure system. Per-symptom resolution. Per-comfort-improvement increment. End-of-life as a priced flow rather than a discrete event.
Originality and first-mover credit. Per-first-publish attribution recorded on agent-readable ledgers. Citation precedence as priced credit. The "first to demonstrate X" claim becomes settled by timestamped agent-witnessed evidence rather than by community consensus.
Authenticity (this-was-made-by-a-human). Provenance verification per content piece. Per-human-made-experience certification. The "made by a human" attribute itself becomes priced as agent-generated content saturates the unmarked default.
The full inventory would run to fifty. Each line above could be a downstream node.
Already-priced things shift to finer resolution.
Real estate moves from per-property to per-square-foot-per-hour. Hot-desking generalizes from coworking spaces to apartments. Cars move from per-vehicle ownership to per-mile or per-second access. Education moves from per-degree credentialing to per-skill micro-credentialing tracked on agent-readable ledgers. Healthcare moves from per-procedure to per-outcome. Insurance moves from per-pool to per-event. Music moves from per-album to per-stream to per-second of attention. Software moves from per-license to per-API-call to per-millisecond of compute. Energy moves from per-month-bill to per-watt-hour to per-second demand-response. Cloud computing already moved from per-server to per-microsecond and now extends per-prompt for agent labor. Labor moves from per-job to per-task to per-second of agent-equivalent work.
The pattern across all the repricings is the same. The prior granularity was set by the friction cost of metering at the human-actor scale. Per-month bills exist because monthly billing was the cheapest the human-administrator layer could afford. Per-second metering produces revenue per actor that exceeds the metering cost only when the actor population generates per-second consumption. The agent layer crosses the threshold; the metering becomes feasible; the granularity ratchets finer.
Once granular pricing is technically feasible, it does not revert. Coarse pricing leaks value to arbitrageurs who acquire at the coarse price and sell at the granular price. Granular pricing is more efficient by definition; the supplier with granular pricing captures share from the supplier with coarse pricing. Competitive pressure drives all suppliers in the same domain toward the same granularity floor.
The historical instances of premature pricing innovation (Adam Back's hashcash 1997, Seth Godin's stamps for email 1997, Bill Gates's 2004 World Economic Forum paid-email pitch, the dot-com micropayment companies Digicash and Millicent and CyberCoin) all failed against the human-actor compute layer of their day. The mechanism was structurally correct in every case. The granularity that made the mechanism work was infeasible because per-event consumption per actor was too low at human scale.
The same pattern will repeat at each layer intelligence reaches. Per-event pricing at the digital layer is what Cloudflare's HTTP 402 pay-per-crawl beta currently implements at roughly a billion responses per day. Per-event pricing at the physical layer follows when cyber-physical systems mediate transactions at the same per-event resolution. Per-event pricing at the atomic layer follows when programmable matter and synthetic biology let molecules carry priced provenance. Each layer is a separate threshold crossing, each is one-way.
Capitalism is conventionally defined as ownership plus markets plus accumulation. Operator framing was that capitalism is expanding big time. The expansion is happening, and at the same time the historical dichotomy between capitalism and commons is dissolving in a way that earlier expansions did not produce.
Polanyi's The Great Transformation (1944) named the market expansion of the nineteenth century as the subjection of land, labor, and money to market discipline. Polanyi argued these were fictitious commodities (not produced for sale) and that subjecting them to market discipline produced social dislocation. Becker's market expansionism (1976+) extended economic analysis to family, marriage, crime, and racial discrimination, treating them as priced exchange under utility maximization. The historical pattern is one of progressive market enclosure of formerly-non-market domains, accompanied by political backlash from communities that defended the formerly-non-market as such.
The new pricing layer does something different. It allows commons-shaped content to capture priced flow without enclosure. An open-content publisher does not have to wall the content to extract revenue; a per-citation micro-payment to the publisher captures revenue while the content remains commons-accessible. The user side pays through the agent at the protocol level, transparently. The publisher side captures flow without selecting readers out. The historical capitalism-vs-commons dichotomy assumed that capturing revenue required enclosure (subscription, paywall, login). The agent-mediated pricing layer dissolves the assumption. Commons content can be priced flow.
This is the structural insight that resolves the apparent tension between capitalism-expanding and open-web-likely. The expansion is happening at a layer that did not exist at human scale. At that layer, commons and market are no longer rivalrous configurations of access. They become composable: commons-shaped access plus priced-citation-flow. The open web becomes the most efficient form of priced flow, not in spite of being open but because of it.
There remains a real risk that aggregators capture the priced flow at the model-provider layer rather than at the publisher layer. That is a different risk from the capitalism-vs-commons risk; it is a structure-of-the-aggregator-market risk. The structural-default trajectory at the access layer is open. The structural-default trajectory at the aggregator layer is contested.
The dollar is the unit of account. Pricing-of-everything denominated in dollars strengthens the dollar's structural position rather than weakening it. The frontier-AI labs are clustered in the United States: Anthropic, OpenAI, Google DeepMind, Microsoft AI, Meta AI, X. The cloud stack is concentrated there: Amazon Web Services, Microsoft Azure, Google Cloud Platform, Cloudflare. The chip stack is concentrated there: Nvidia, Intel, AMD, in addition to TSMC's Arizona expansion. The payment rails are concentrated there: Visa, Mastercard, Stripe, PayPal. The stablecoin compliance regime under the GENIUS Act of July 2025 puts dollar-backed stablecoin issuance under US jurisdiction. The web infrastructure that meters per-event pricing (Cloudflare HTTP 402) is US-served.
The structural-default trajectory under no intervention is that pricing-of-everything globally produces small per-transaction rents to dollar-denominated infrastructure. The dollar's reserve-currency status, Valéry Giscard d'Estaing's "exorbitant privilege" of 1965, extends to per-micro-transaction resolution. If every priced event in the world produces a tiny rent to dollar-denominated payment rails, USA captures a cumulative surplus that compounds with the volume of priced events.
The positioning is not inevitability. China is building a parallel infrastructure with comparable scale: domestic AI labs (DeepSeek, Qwen, Baidu's models), the BAT cloud stack, alipay/wechat agent rails, BeiDou navigation, and increasing presence in adjacent geographies. The European Union has regulatory leverage (the AI Act, the Digital Markets Act, the Digital Services Act) but lacks frontier labs of comparable scale to the US. Russia and Iran sit outside the system. India is leapfrogging using US-infrastructure as default while building domestic compute. Africa and Latin America are building on the US-infrastructure. The decentralized alternative (Bitcoin plus stablecoins on non-custodial rails, plus open-source model providers) is the cypherpunk path.
The piece's load on this point is the structural-default observation, not the geopolitical prediction. The USA-as-infrastructure trajectory holds under three conditions: (1) US does not close the infrastructure to non-US users; (2) regulatory equilibrium does not fragment the agent layer along jurisdictional lines that exclude US providers from foreign markets; (3) decentralized alternatives do not reach competitive scale in the relevant time window. Each condition can fail. The piece names the trajectory and the conditions; the prediction is conditional.
The mechanism is in The Fediverse Was for Agents at the publishing layer and in The Second Personal Computing Phase Change at the operating-actor layer. Open content is the lowest-friction shape for citation-driven per-event pricing. Walled content does not get cited. Open content captures the citation flow.
The pricing-of-everything frame extends the mechanism. At each layer pricing reaches, the same trade-off operates. Open data captures per-query attribution; closed data does not. Open energy markets capture per-watt-hour micropayments; closed energy markets capture none. Open scientific corpora capture per-citation micro-revenue; closed corpora do not. Open ecosystem-services markets capture per-acre conservation pricing; closed ecosystem markets capture less.
This is why the operator framing of "an open web is currently quite likely as an outcome" generalizes beyond the web specifically. The web is one instance of a layer where open access plus priced flow is the structurally-favored configuration. The same configuration favors openness at the data layer, the science layer, the energy layer, and (eventually) at the physical and atomic layers as pricing reaches them.
The aggregator-capture risk applies at every layer. At the web layer, the risk is that a few model providers pre-license a few approved sources. At the data layer, the risk is that a few data brokers capture the per-row flow before it reaches data-producers. At the energy layer, the risk is that a few utilities capture the per-watt-hour flow before it reaches consumers. The structural-default trajectory at the access layer is open; the structural-default trajectory at the aggregator layer is contested at every layer.
The boundary question is whether some things are devalued by being priced.
Sandel's What Money Can't Buy (2012) argues yes. A friend who is paid to be friendly is not actually a friend. A wedding speech bought from a service is not actually the speaker's. A child priced for adoption is corrupted as a relationship by the introduction of price. The sphere of relationships is one of several spheres where market mechanisms damage what they price.
Polanyi's argument extends. Land treated as ordinary commodity destroys the relationship between communities and their place. Labor treated as ordinary commodity destroys the relationship between people and their work. Money treated as ordinary commodity destroys the relationship between economies and their store-of-value. The historical episode of the great transformation produced the social dislocations Polanyi documented and the political reactions (socialist parties, fascism, the welfare state) that followed.
Ostrom's Governing the Commons (1990) showed that shared resources can be governed by community institutions outside both market and state. The implication is that the pricing layer is one option, not the only option, for governing access to shared resources. Communities can choose commons-governance with agent-assisted coordination as an alternative to either market pricing or state administration.
The pricing-of-everything frame must address the boundary explicitly because the structural ability to price something does not entail that pricing it is good. The boundary is contested terrain. Some things resist pricing in the sense that pricing destroys them. Sacred and liturgical practice. Intimate relationships. Civic friendship in the Aristotelian sense. Family relationships. Spiritual and contemplative practice. Some forms of art (gift culture, anti-commercial). Mutual aid networks. Some ecological commons where pricing destroys what it prices.
A second-order implication follows. When everything else is priced, the un-priced becomes valuable as such. Friendship as un-monetizable becomes the marker of authenticity. Gift becomes either adversarial-by-default ("what does she really want") or more pronounced as a counter-cultural practice. The unmarked default of "this is free" becomes the marked exception of "this is intentionally free." The unmarked default flips from non-priced-by-default to priced-by-default, and the un-priced acquires a register it did not have when the un-priced was the unmarked default.
I argue against forcing closure on this question. The structural mechanism is that pricing reaches further than it did. The normative question of where to defend non-market spaces is downstream and contested in ways the structural argument cannot settle.
The pattern continues down through the layers intelligence reaches.
Per-atom manufacturing in the Drexler vision of programmable matter: each atom of a manufactured product carries a billable cost trail. Per-cell biology in the synthetic-biology vision: each cell of a manufactured organism carries a billable cost trail. Per-DNA-base in the genome editing vision: each base of an edited genome carries a billable cost trail. Per-molecule pharma at personalized-medicine resolution: each delivered molecule carries a billable cost trail. Per-photon energy at femtosecond resolution: each captured photon carries a billable revenue trail.
The configuration is the inverse of dematerialization. The dematerialization-lock node argues that physical networks have edges (geographic, demographic, economic) where dominant-network economics break and competitors survive in the gap; digital networks have no such edges. The atomic-pricing layer is the rematerialization of physical with digital-priced atoms. Physical re-emerges as a substance whose component units carry digital-priced provenance. The "no edges" property of digital extends down through the atomic stack to the underlying matter.
What this means in concrete terms is unclear at 2026. The mechanism is plausible; the timeline is open; the political economy of who controls the atomic-pricing layer is unsettled. The structural-default trajectory under no intervention is that the atomic-pricing layer is built by whoever controls the digital and physical layers above it, which under current positioning is the United States. The risk of the atomic layer being closed by a few gatekeepers is acute because the technical complexity of building it is high; the small number of plausible builders concentrates positional power.
I name the atomic layer here without forcing closure on its political economy. It is the longest-arc implication of the intelligence-saturates-pricing-saturates mechanism. Whether the timeline is twenty years or fifty years or one hundred is a separate question from whether the structural mechanism will operate when the technology arrives.
The breadth honored by enumeration. Each line below is a starting place for downstream nodes; the depth is reserved for follow-up work.
The piece grants the following risks.
The aggregator-capture risk at every layer. Few model providers pre-license a few approved sources at the web layer; few data brokers capture the data-flow at the data layer; few utilities capture the energy-flow at the energy layer. The structural-default trajectory at the access layer is open; the trajectory at the aggregator layer is contested.
The USA-positioning risk. China builds a parallel infrastructure with comparable scale. The European Union develops regulatory leverage that fragments the agent layer along jurisdictional lines. The decentralized alternative reaches competitive scale before US-positioning compounds into lock-in. Each is plausible. The piece treats USA-positioning as structural-default, not inevitability.
The intelligence-saturation timeline risk. Hardware bottlenecks, energy bottlenecks, regulatory bottlenecks may slow intelligence's reach into the physical and atomic layers. The structural mechanism (intelligence-saturates → pricing-saturates) operates at every layer intelligence reaches; if it stops at the digital layer, the implications are bounded. The piece's claims about the physical and atomic layers are conditional on intelligence reaching those layers within a relevant time window.
The capitalism-totalization risk. Markets that reach into formerly-non-market domains may destroy what they price (per Sandel). Communities defend non-market spaces with mixed success. The boundary question is unresolved; the piece treats it as open.
The unequal-distribution risk. Surplus from the new pricing layer accrues asymmetrically to infrastructure owners, aggregators, and producers of cited content. The middle class of knowledge work is pressured. The poor are differently positioned: accessible micropayments could enable participation, or pricing could exclude them from new markets. The piece does not resolve the distribution question.
The risks adjust pace and shape of the structural argument. They do not adjust its direction.
Intelligence saturates the universe one layer at a time. Pricing saturates with it. The formerly unpriced gets priced; the formerly priced gets repriced finer. Capitalism's market boundary expands at a layer where commons and market are no longer rivalrous: commons content can be priced flow.
The USA economy is positioned as the running infrastructure under three conditions that can each fail. An open web compounds at every layer pricing reaches because open access is the lowest-friction shape for citation-driven per-event pricing. The boundary question of what should resist pricing is contested terrain; the unpriced acquires a register as the marker of authenticity when the unmarked default flips.
The atomic layer is where this gets strange. It is the longest-arc implication. Each line in the compressed-implications section is a starting place for a downstream node. The brainstorm is the work.
P.S. — Graph:
Sources: Karl Polanyi, The Great Transformation (1944); Gary Becker, The Economic Approach to Human Behavior (1976); Elinor Ostrom, Governing the Commons (1990); Michael Sandel, What Money Can't Buy (2012); Adam Back, hashcash (1997); Seth Godin, stamps for email (1997 first proposal, 2006 restatement, March 2023 revisited at seths.blog); Bill Gates, World Economic Forum Davos 2004 paid-email proposal; Cloudflare HTTP 402 pay-per-crawl beta (2026); GENIUS Act (US, July 2025) for stablecoin compliance; Valéry Giscard d'Estaing 1965 "exorbitant privilege" formulation of dollar reserve-currency advantage; Sequoia AI Ascent 2026 (April 20) framings of the AI moment as a revolution in computation. Sibling Hari nodes named in the graph notes above.