The thesis: Corporate ownership has become detached from real responsibility. Legal title survives; the substance of ownership — control, accountability, consequence — has been stripped away and concentrated in an unaccountable managerial class.
The danger: Artificial intelligence will accelerate this concentration to a degree history has never seen — unless we redesign who has a legitimate claim on what machines produce.
The remedy: Three legal instruments — the Utah Commonwealth Corporation Act as the state-law prototype, the federal ROCA Act as the corporate-governance scale-up, and the AI Commons Act for foundation AI systems — reconnect ownership with stake, voice, and accountability.
The Commonwealth Corporation is the civic and legal model. The Zion Corporation is its moral name — for those who recognize the tradition from which it draws. Eight threads develop the diagnosis. Three legal instruments provide the remedy.
The modern American corporation is not the free-market institution its defenders imagine. Internally it is a centrally planned hierarchy — administered salaries, bureaucratic resource allocation, no employee property claim on what they build — while being defended externally as the pinnacle of capitalism. That contradiction is the problem this framework addresses.
If a government agency centrally administered salaries, allocated resources by bureaucratic fiat, gave nominal "owners" no real control, concentrated voting power in three unelected offices, and protected its leadership class from all consequences of their decisions — you would call that socialism and demand its abolition. Why do you call it capitalism when a corporation does it?
Utah Bill
The state-law prototype. Voluntary three-tier framework — Registered, Certified, Preferred. Where the framework first becomes law. Strategic beachhead for what follows.
ROCA Act
The federal corporate-governance scale-up. Addresses what ordinary corporations should become — employee rights, executive accountability, asset manager reform, AI knowledge extraction compensation.
AI Commons Act
Addresses what AI companies already are — private enterprises built on the public knowledge commons. Knowledge Commons Licensing Authority, Creator Compensation Fund, AI Permanent Fund, public utility obligations.
The full diagnosis — AI, the knowledge enclosure, AI as public utility, property rights, the squatter economy, stewardship, and the path forward.
Ten self-contained slide decks. Enter any lecture in any order. Each builds the case from a different angle.
The Responsible Ownership and Corporate Accountability Act — Version 3. Nine Titles, navigable by section.
The Knowledge Commons and AI Public Accountability Act. Seven Titles covering licensing, creator compensation, the AI Permanent Fund, and public utility obligations.
Stake, voice, and accountability reunited. The legal model for the Zion Corporation — voluntary, incentive-driven, market-compatible.
The Utah Commonwealth Corporation Act — a voluntary but enforceable three-tier framework. Registered companies elect Commonwealth status. Certified companies meet measurable standards — Employee Stewardship Council, ownership plan, AI Productivity Participation, Stewardship Charter — and receive tax incentives. Preferred companies pass independent verification and receive the full incentive package. Not Benefit Corp 2.0.
For two centuries, work has been the primary mechanism by which ordinary people received a share of economic output. AI is not simply displacing jobs — it is attacking that distribution mechanism at its root. As machines become capable of cognitive, creative, and physical work, the question becomes: who has a legitimate claim on the output of machine intelligence?
Universal Basic Income sounds compassionate but is actually a trap. It transforms citizens into dependent clients of the state — replicating the peasant-lord relationship in modern dress. The population becomes useless to the productive class except as consumers and political props.
The real question AI forces us to confront is ownership. If robots and algorithms do the work, who owns the robots and algorithms? Right now the answer is: the same small class who already own everything else. Unless we redesign the relationship between people and productive capacity, AI accelerates concentration to a degree history has never seen. This is why corporate governance reform is the central question of the coming generation.
History is littered with revolutions that began in genuine grievance and ended in terror, tyranny, or chaos. The French Revolution produced Napoleon. The Russian Revolution produced Stalin. Even the most righteous rupture creates a vacuum that the most ruthless fill.
What makes inspired reform powerful is that it names what people already know in their bones. The factory worker, the middle manager, the pension-fund retiree — they all feel the Animal Farm dynamic even without the vocabulary. Reform that articulates the felt experience has moral authority that top-down imposition never achieves.
The framework proposed here is not revolutionary. It works within existing legal and economic structures while adjusting the rules so that better behavior becomes natural — even self-interested. This is how the Light works: not by force, but by changing what is illuminated.
The modern large corporation is internally a socialist institution. Inside its walls, prices are administered, resources are centrally allocated, salaries are set by classification tables rather than markets, and individuals have no property claim on what they build. HR is the planning bureau. Job bands are the five-year plan. Performance reviews are the politburo's assessment of ideological conformity.
Corporations are not capitalist. They are localized socialism — controlled by pigs.
That phrase is polemic. It is also accurate. Animal Farm taught us to recognize the dynamic: the pigs declare equality, take charge of the farm, gradually rewrite the rules in their favor, and by the end the animals looking through the window cannot tell the difference between the pigs and the humans they replaced. The pigs did not disappear after the Cold War. They moved into the corner office. They changed the language from commissar to CEO and the five-year plan to the quarterly earnings call. The structure is the same.
Not all shareholders are equal. The critique here is not of ownership per se — it is of the fragmentation of ownership's incidents across actors with incompatible time horizons and incentives. Genuine long-term stewards — founders, family owners, long-horizon pension funds, mission-aligned investors — are not the problem. They are what the Commonwealth Corporation model seeks to reproduce. The problem is everyone else.
Founders, long-horizon families, employee shareholders, mission-aligned funds. Concentrated stake, long time horizon, real accountability. These are what we are trying to reproduce structurally.
Can't sell by mandate. Vote with management by default. Passivity is structural, not chosen. Neither owners nor squatters — more like furniture.
Average holding under 6 months. Renting a price movement, not owning a business. No attachment to workers, communities, or long-term health. Exit when inconvenient.
Worse than squatters — actively extract while occupying. Finite window: 3–7 years. Gun the engine, collect the bonus, take the parachute. The damage arrives after they depart.
Invest irreplaceable years. Firm-specific skills. Concentrated, undiversifiable economic risk. They live with every decision's consequences. The genuine owners by behavioral measure.
The corporation demands ownership behavior — accountability, sacrifice, long hours, mission commitment — from those it treats as serfs. Meanwhile those with actual governance control behave like extraction-optimizing squatters. This is not a dysfunction. It is the system working exactly as designed.
The Boeing story is not asserted here as rhetorical ammunition — it is documented. The following is drawn from public records, SEC filings, board disclosures, and published investigative reporting.
Boeing merges with McDonnell Douglas. McDonnell Douglas executives, led by Harry Stonecipher, take senior Boeing roles. The engineering-first culture begins its documented shift toward financial-metrics primacy.
Boeing spends approximately $43 billion on stock buybacks over this period — money that could have funded aircraft development, safety systems, and engineering talent. In 2018 alone, buybacks totaled $9 billion. The 737 MAX program received a fraction of that.
Internal Boeing documents — later released to congressional investigators — show engineers raising safety concerns that were overridden by schedule and cost pressure. Engineering headcount in key programs was cut as financial targets intensified.
Two 737 MAX crashes — Lion Air (October 2018, 189 dead) and Ethiopian Airlines (March 2019, 157 dead) — are attributed in part to the MCAS software system, inadequate pilot training, and a regulatory approval process later criticized for excessive delegation, schedule pressure, and inadequate independent scrutiny.
CEO Dennis Muilenburg is removed in December 2019 after the crashes. His total compensation for 2018 — the year of the first crash — was $23.4 million. He received a separation package of approximately $62 million in pension, deferred compensation, and stock. No criminal charges.
The executives who made the decisive cultural and financial engineering choices had already departed or been compensated before the full consequences landed. Boeing's subsequent institutional collapse — quality failures, whistleblower deaths, criminal investigations — was inherited by those who came after.
Boeing is not an outlier. It is the extraction model operating at full fidelity. The incentive structure did exactly what it was designed to do: maximize short-term metrics, reward the decision-makers, and defer the consequences to their successors and to the public. The 346 people who died are the ultimate cost of a governance system that assigned accountability to no one.
The Fifth Amendment protects private property from government taking. The founders understood property not as a legal certificate but as a relationship — involving stewardship, accountability, and genuine stake. Property meant something to its holder and imposed obligations on them.
Shareholders cannot direct how their votes are cast — asset managers do that. They cannot influence strategy — executives do that. They cannot prevent dilution — boards approve it. This is property without meaningful incidents of ownership.
When the legal form of ownership survives while the substantive content — control, accountability, consequence — has been extracted and concentrated in a managerial class, the Constitution's purpose is subverted even as its letter is technically satisfied. Genuine protection of property rights in the corporate context requires that ownership carry real voice and real accountability.
For secular readers: The structural argument of this thread stands entirely independent of its theological origins. What follows describes an organizational model in which productive capacity is held accountable to those affected by it, surplus flows to genuine contributors rather than being extracted, and authority is paired with consequence. You do not need to share any theological commitment to recognize this as a better governance model than the current one. The United Order is referenced because it is the specific intellectual tradition from which this framework draws — with transparency, not with the expectation of theological agreement.
"It is required of the Lord, at the hand of every steward, to render an account of his stewardship."
D&C 72:3Property held in trust, not owned absolutely. A different, accountable relationship between person and property.
Real authority and real accountability. The steward manages their portion — answerable for how they manage it.
Excess above genuine need flows to the common treasury. A covenant relationship, not confiscation.
Not equality of outcome but elimination of poverty. A community obligation, not a state mandate.
The current executive structure produces the precise opposite of each United Order principle: extraction rather than consecration, authority without accountability, surplus captured by financial engineers, and widening gaps rather than movement toward no poor among us. The United Order is not naive about human nature — it is structured, with rules, accountability mechanisms, and defined obligations.
Commonwealth Corporation
The civic and legal name. The term reflects the historical American understanding of commonwealth as shared prosperity, mutual obligation, and governance in the interest of the whole community. This is the name in the legislation, the name for policy audiences, the name for Congress.
Zion Corporation
The moral and theological name. For those who recognize the United Order tradition, this is precisely what a Zion enterprise looks like translated into securities law and corporate governance. The two names describe the same structure from different vantage points.
The founder-led first-generation corporation demonstrates that the alignment of stake, voice, and accountability is not utopian — it is observable right now. The problem is succession: when the founder exits, the structure defaults to the squatter-nomenklatura model. The goal is to design structures that reproduce founder-like accountability without requiring a founder.
| Dimension | Current Corporation | Commonwealth Corporation |
|---|---|---|
| Ownership character | Squatters with legal titles | Stewards with real accountability |
| Governance voice | Concentrated in executives | Distributed by stake and tenure |
| Executive incentive | Extract in a finite window | Build durable enterprise |
| Employee role | Denied ownership rights | Genuine governance participation |
| AI productivity gains | Captured by capital owners | Shared with contributors |
| Time horizon | Quarterly; option vesting | Generational; charter-aligned |
| Accountability | Board nominally; no one really | Transparent stewardship accounting |
In the 17th century, common land that peasants had worked and depended on for generations was fenced off by landlords and converted to private profit. This was called the Enclosure Movement. Whole communities lost access to the productive capacity they had built and maintained. The law permitted it. The powerful executed it. The vulnerable had no recourse.
We are living through a second enclosure movement — and its scale dwarfs the first. What is being enclosed this time is not land. It is human knowledge, expertise, and creative expression — the accumulated intellectual and artistic capital of civilization — scraped from the internet, fed into training datasets, and converted into private profit without the consent or compensation of those who created it.
The taking happens in two distinct contexts that require separate legal remedies but share a single underlying principle:
The radiologist whose ten thousand diagnostic scans trained the AI that now replaces radiologists. The customer service worker whose call transcripts were harvested to build the chatbot that eliminated her department. The accountant whose decision trees were observed and encoded into tax preparation AI. There was an employment relationship — but the tacit knowledge extraction was never acknowledged, never compensated, never consented to.
The illustrator whose decade of developed style was scraped and used to train Midjourney. The novelist whose prose rhythms and narrative structures now live inside a language model. The musician whose compositions were ingested without permission. No employment relationship. No consent. No compensation. Their life's work — taken and monetized by others who contributed nothing to its development.
The artist's situation is the purest case. The radiologist at least had an employment relationship and a wage. The artist had nothing — no relationship, no contract, no consent form, no notice. Their entire body of creative work was simply taken. The only reason this is not legally recognized as theft is that copyright law was written before anyone imagined this use case, and the companies moving fastest had every incentive to move before the law caught up.
What makes this a property rights issue — and not merely a policy dispute — is the nature of what was extracted. Style, technique, voice, judgment, diagnostic intuition, creative vision — these are not raw materials that exist in nature. They are the product of years of disciplined practice, accumulated failure, refined skill, and irreplaceable time. They are, in the most meaningful sense, a form of property.
We know they are property because the AI companies treated them as enormously valuable. They paid billions of dollars to build the infrastructure to capture this knowledge. They understood perfectly what they were taking and what it was worth. They simply declined to compensate those from whom they took it — because the law, as written at that moment, did not require them to.
The principle of consecration in the United Order speaks directly to this situation. Consecrated labor — work developed through years of discipline and dedication — carries obligations to those who produced it. When that labor is captured and monetized, the surplus it generates belongs in part to those from whom it was taken.
This is not a radical claim. It is the ordinary logic of property rights, applied consistently. The AI companies would immediately and correctly object if someone took their model weights and used them without permission or compensation. They understand property rights perfectly well — when the property is theirs.
The Commonwealth Corporation framework directly addresses the intra-corporate dimension through the Worker Productivity Participation Plan — requiring that employees whose expertise AI systems encode receive a share of the productivity gains those systems generate, with pre-deployment consultation rights and meaningful notice before displacement.
The extra-corporate dimension — the artist, the writer, the musician whose work was scraped from the open internet — requires a different legislative instrument. That instrument does not yet exist. But the philosophical foundation for it is identical to the foundation of this entire framework:
The argument of Thread Seven — that AI companies took human creative and professional knowledge without consent or compensation — leads directly to a more fundamental question about what kind of institution an AI company actually is.
These are not ordinary corporations. In genuine capitalism, you combine your own capital and legitimately contracted labor to create value. The surplus you capture derives from something you actually contributed. The AI companies did something categorically different: they took the entire accumulated intellectual output of human civilization — every book, article, painting, song, scientific paper, legal document, and creative work ever digitized — and converted it into private property worth trillions of dollars.
The raw material cost them nothing. They did not negotiate for it. They did not compensate those who created it. They did not ask permission. This is not capitalism. It is the largest single act of commons enclosure in human history.
American law has consistently recognized that when a private company builds its business on public resources, it takes on public obligations. The pattern holds across every major infrastructure industry:
Received enormous public land grants. Became regulated common carriers required to serve all customers at regulated rates.
Used public electromagnetic spectrum. Received licenses conditional on serving the public interest.
Built on public infrastructure. Required to provide universal service at regulated rates.
Took the entire intellectual heritage of civilization. Currently owe nothing. Face no public obligations whatsoever.
The AI case is stronger than any of its predecessors. The railroads got land. The broadcasters got spectrum. The AI companies got the entire intellectual heritage of human civilization — and currently face fewer public obligations than a small-town radio station.
If we apply the public utility logic consistently, the obligations that follow are substantial and specific:
A mandatory licensing regime for training data — similar to music performance rights. ASCAP and BMI collect royalties whenever music is performed and distribute them to composers. A Knowledge Commons Licensing Authority would collect a levy on AI revenues and distribute compensation to creators, workers, and institutions whose work trained the systems.
Utilities cannot refuse service. An AI company that built its business on public knowledge cannot then deny access arbitrarily. API access at regulated rates. No discriminatory pricing. Universal service obligations for foundational AI capabilities.
Utilities are allowed a fair return on invested capital — not unlimited extraction. An AI company that has captured trillions in value from uncompensated public knowledge should face constraints on extraction commensurate with its public resource consumption.
Broadcasters must serve the public interest as a condition of their license. AI systems that shape information, education, medical advice, legal guidance, and public discourse should face equivalent obligations — accuracy standards, transparency requirements, public benefit mandates.
The most radical but logically consistent conclusion: if the public knowledge commons was the decisive input, the public should hold an equity stake in the enterprises that converted that commons into private value. Not government ownership — a distributed public trust, similar to the Alaska Permanent Fund, whose dividends flow to citizens.
This is not a problem the ROCA Act can solve — it operates on a different scale and requires a different legislative instrument. What is needed is a companion bill establishing:
The conservative argument for this is straightforward and powerful: property rights apply to the creators whose work was taken. The progressive argument is equally clear: public resources create public obligations. This is one of the rare issues where a genuinely principled argument reaches the same conclusion from both directions.
Ten lectures — select any to begin. Each is a self-contained slide deck.
Responsible Ownership and Corporate Accountability Act — Version 3 — Draft for discussion
Knowledge Commons and AI Public Accountability Act — Version 1 — Draft for discussion
Utah Commonwealth Corporation Act — Version 2 — Three-tier framework — Draft for Legislative Review — Not for citation or distribution without authorization