3  Where Markets Come From

What are markets, and when do they fail?

NoteLearning Objectives
  • Explain why “the free market” is a description of a rule-bound institution, not an absence of rules.
  • Name and give examples of four kinds of market failure.
  • Say who bears the cost and who captures the benefit in a negative externality.

“Which product in this room is unregulated?” The answer, once you start looking, is none of them. Every object on the shelf exists inside a web of rules about who may sell it, what counts as fraud, who is liable when it fails, and how disputes get resolved. “The free market” is not the absence of rules; it is a particular set of them.

The journalist Tom Wainwright made the same point from the other direction. In order to show how the free market really works, he went and studied it in its pure, unconstrained form: the cocaine cartels (Wainwright 2017). Even there, the rules did not disappear. A cartel can’t use trademark law, but it can use violence against competitors who sell adulterated product under the same name. The aim—maintaining exclusivity and quality signals—is the same; only the mechanism differs. Markets do not exist without rules. The interesting questions are which rules exist, who wrote them, and who benefits.

3.1 Markets Are Made of Rules

The idea that markets arise naturally and rules are later imposed on them gets the history backwards. David Graeber spent years studying debt across cultures and centuries, and found that the story economists tell about money— that barter came first, that money was invented to make barter easier, and that credit developed on top of money— has almost no support in the historical record. The fish-for-axes economy of introductory textbooks never existed. What appears instead are systems of mutual obligation: I owe you, you owe me, the village keeps track. Credit is older than markets and older than money, and money emerged not to simplify barter but to settle and record debts (Graeber 2011).

Even the creation of money turns out to be a rule-bound, and faintly ridiculous, institution. In the 1660s, London goldsmiths began issuing paper receipts for the gold and silver stored in their vaults, and merchants discovered it was easier to pay each other with receipts than to cart metal through the streets. The goldsmiths then noticed that only a fraction of depositors ever came to claim their metal, so they issued more receipts than they had gold, lending out the difference and collecting interest. When a modern bank makes a loan, it does not lend out money that was previously deposited; it creates the deposit at the same moment it creates the loan. Money that did not exist comes into existence through the act of lending, and when the loan is repaid, that money is destroyed (Michael McLeay and Thomas 2014). Who gets to create money, and under what constraints, has always been a political question dressed up as a technical one.

Other “natural” features of markets are legal grants. Limited liability—the rule that an investor can lose no more than they put in— was not a spontaneous invention of commerce. It was created by governments to encourage private investment in ventures too risky for one person to fund alone, appearing with the Dutch East India Company in 1602 and changing who was willing to invest, in what, and on what scale. Copyright has the same character. The Statute of Anne, enacted in England in 1710, is generally called the first copyright law, but it was passed not to protect authors but to break the monopoly of the London Stationers’ Company, a printers’ guild, and to replace it with a new system of publisher monopolies operating for limited terms. Authors received rights in the statute only to the extent that they assigned them to publishers, who were the real beneficiaries (Bracha 2019). The framing of copyright as a natural right of creators was a later construction that reversed the actual history— and the 1998 Sonny Bono Copyright Term Extension Act was timed, notoriously, to keep the earliest Mickey Mouse films out of the public domain.

Even the idea of a rational economic agent is a political argument dressed as mathematics. The figure travels from Hobbes’s self-interested subject, through Herbert Spencer’s “survival of the fittest,” to the utility-maximizing rational actor of neoclassical economics. Each step converted a claim about how people ought to behave into a description of how they naturally do, and the description has consequences: it suggests that whoever wins under current rules wins because the rules are fair. “Deregulation” is best understood the same way. It is never the removal of rules; it is the substitution of one set of rules for another, and the new rules have winners and losers just as the old ones did.

3.2 Four Ways Markets Fail

A market fails when an unadjusted market produces an outcome that is neither efficient nor fair. There are four standard mechanisms, each with a technology-shaped example.

The first is externalities: costs or benefits imposed on third parties that the price does not capture. Pollution is the classic negative externality; misinformation, polarization, and teen anxiety are its digital descendants, imposed at scale and priced at zero. A less obvious externality sits behind the automation debate. In a competitive market, an automating firm captures the full cost savings from replacing workers but bears only a fraction of the resulting destruction of consumer demand. Every firm therefore has a rational-as-in-psychopathic incentive to automate beyond the socially optimal level, because the gain from cutting labor costs outweighs the diffuse, shared consequence of eliminating consumer spending (Falk and Tsoukalas 2026). Henry Ford understood the opposite logic: his employees needed to earn enough to buy his cars. The AI economy is eliminating the workers and expecting the cars to keep selling (McGrann 2026).

The second is public goods: goods that are non-excludable and non-rivalrous, like an informed electorate, institutional trust, or online safety. No one can be made to pay for them, and one person’s use does not diminish another’s, so markets under-produce them. Every firm has an incentive to free-ride on the trust that others maintain, and no single company has an incentive to build it alone.

The third is information asymmetry. In George Akerlof’s “market for lemons,” when the seller knows much more than the buyer about the quality of a used car, the bad cars drive out the good ones, because buyers can’t tell the difference and won’t pay for quality (Akerlof 1978). The same logic governs a recommendation system: you do not know what the recommender is doing, or why, and the operator does. When one party to a transaction can see the whole board and the other can see only their own move, the outcome is not a fair trade.

The fourth is market power. Network effects and switching costs produce concentration, sometimes a “natural monopoly,” and the ability to set terms rather than take them. Here the technology industry runs a remarkably effective piece of theater. Apple positions itself as the champion of privacy in explicit contrast to Google’s surveillance-funded model, a rivalry performed with the moral intensity of professional wrestling. The industry term for such a collective fiction is kayfabe, and what the performance obscures is that Apple earns roughly $20 billion a year from a deal that makes Google the default search engine on every iPhone sold (Barthes 1972). The two rivals are financially interdependent, and each needs the other to keep playing its designated role.

3.3 The Commons and the Lock-In

To the four standard failures, add a fifth idea: the commons. Garrett Hardin’s “tragedy of the commons” described an unmanaged commons he never studied, and Elinor Ostrom spent her career documenting what he missed: communities that govern shared resources sustainably for centuries, without either private ownership or state control, through locally developed rules, monitoring, and graduated sanctions (Ostrom 2015). The commons did not inevitably collapse; the argument that it did was made by enclosure’s beneficiaries and repeated long after it was refuted.

Platform lock-in is the digital descendant of the same contest over who gets to set the rules. Apple’s green-bubble effect is a case study in manufactured switching costs: internal documents admitted that adopting the RCS messaging standard would reduce the social cost of leaving the iPhone, and Apple declined to do it until the European Union’s Digital Markets Act forced support in 2024. The sharecropping system that spread across the post-Civil-War American South offers the sharpest metaphor for what that lock-in feels like. A farmer pledged next year’s crop to cover this year’s debt, buying supplies on credit at the landowner’s store at prices the landowner set, so that a bad harvest—or a good one, depending on how the accounts were kept— left the farmer owing more at year’s end than at the beginning (Blackmon 2008). The platform equivalent runs through percentage fees, arbitrary algorithmic changes, and paid promotion. The audience is the crop; the algorithm change is the landlord raising the rent after the harvest is in.

3.4 Public Subsidy, Private Profit

When Steve Jobs unveiled the iPhone in 2007, the crowd responded as if Apple had conjured something from nothing. What the applause missed was that every technology in the device had been developed with government money: the internet from the Defense Advanced Research Projects Agency, GPS from the US Air Force, the touchscreen from National Science Foundation-funded research, and Siri from a DARPA-funded project at SRI International. The government took the risk; the shareholders reaped the benefit (Mazzucato 2015).

The drug industry runs the same arrangement at enormous scale. The mRNA platform behind the Moderna and Pfizer-BioNTech vaccines was built over decades by Katalin Karikó and Drew Weissman at the University of Pennsylvania, supported by the National Institutes of Health. When COVID-19 hit, the US government funded the trials and pre-purchased hundreds of millions of doses before any vaccine was authorized. The government provided the science, the capital, and the guaranteed market. Moderna became a $200 billion company, and the NIH’s claim to a share of the intellectual property— which would have given the public some leverage over pricing— was disputed and ultimately not enforced. Marianna Mazzucato calls this arrangement the privatization of gains and the socialization of losses.

The cycle closes with tax. Apple’s arrangements in Ireland allowed it to pay an effective tax rate of 0.005% on European profits, so that the firms benefiting most from public research pay the least back into the systems that produced it. Public investment creates the technology, private firms capture the profits, and international tax structures ensure that only a tiny fraction of those profits flows back to the public budget.

3.5 Enshittification

Cory Doctorow gave the platform life cycle a name: enshittification (Doctorow 2025). A platform first attracts users with a genuinely useful service, then locks in its business customers, then harvests both by degrading service quality, raising prices, and extracting the maximum value from a market it now controls.

The ladder has concrete rungs. Booking.com offered hotels a 12% commission in the mid-2000s to bring them customers, became the dominant hotel-search platform across Europe, and by 2019 was charging many hotels 25-30% plus fees for “preferred placement.” Columbia House ran the same play in an earlier era: a penny bought you twelve records, but the fine print committed you to buying eight more at “regular club prices” two to three times the retail price. JanSport’s backpacks followed a different route to the same destination: after a single corporation bought most of the durable-backpack brands, fabric thickness dropped, zippers weakened, and the lifetime warranty was rewritten to exclude precisely the failures that were now designed into the product. When YouTube changed its monetization criteria in 2018 to require a thousand subscribers and four thousand watch hours, channels that had not yet crossed the threshold were cut off from income they had been building toward, on a platform that owned the audience they had grown.

Enshittification is not a bug in an otherwise healthy system; it is the logical end of network effects and structural lock-in, protected from competitive correction because the switching costs that trap users also insulate the platform from consequences (Doctorow and Giblin 2022).

3.6 The Greater Fool

Markets fail not only when they are captured, but when they stop reflecting anything except the behavior of other traders. In February 1637, a single bulb of the Semper Augustus tulip sold in Amsterdam for the price of a house on a canal (Mackay 1841). Isaac Newton, one of the smartest people who ever lived, lost the equivalent of several million dollars in the South Sea Bubble of 1720, reportedly observing afterward that he could calculate the motions of heavenly bodies but not the madness of men.

The greater fool theory explains how this keeps happening: you do not have to believe a tulip is worth a house, only that someone else will pay you more for it next month than you paid today. Robert Shiller argues that markets are driven less by rational calculation than by contagious stories, in a feedback loop he calls narrative economics: a compelling story changes behavior, changed behavior changes prices, and rising prices seem to confirm the story (Shiller 2015). A bubble collapses when no greater fool can be found.

3.7 Other Ways to Organize a Firm

The shareholder-owned corporation is treated as the natural form of a firm, but it is one choice among many, and the alternatives are durable institutions rather than seminar hypotheticals. The Islamic waqf is a charitable endowment whose property cannot be sold or inherited, and whose income must serve a specified purpose in perpetuity; at their peak in the eighteenth-century Ottoman Empire, estimates suggest that as much as a third of agricultural land was held as waqf. Japan’s keiretsu are networks of interlocked companies that hold shares in one another, insulating management from hostile takeovers and rewarding long-term investment. Germany’s Mittelstand—medium-sized, family-owned manufacturers— pair multi-generational ownership with worker seats on supervisory boards. In India, the Hindu Undivided Family has been a recognized legal entity since the nineteenth century, and conglomerates such as Tata and Birla grew from structures in which the boundary between family and enterprise was deliberately blurred.

Cooperatives are the most direct challenge to the shareholder model. The Mondragón Corporation in the Basque region, founded in 1956 and employing roughly 80,000 people by 2024, is owned by its workers rather than outside shareholders (Morrison 1991). The credit-union tradition that began with Friedrich Raiffeisen in 1860s Germany now counts roughly a billion members worldwide (Whyte and Whyte 1991). These forms face real problems—raising capital without equity to sell, and the short time horizons of members who may not live to reap long-term investments— but they demonstrate that the investor-owned firm is a choice, not a law of nature.

The choice is advertised more honestly than it is made. Multi-level marketing recruits people with the promise of entrepreneurship, but the US Federal Trade Commission found in a 2011 analysis that fewer than 1% of participants in one major MLM earned a net profit after expenses (FitzPatrick 2020). When Uber launched, it told drivers they were entrepreneurs, then set the prices, chose the rides, and deactivated accounts without meaningful appeal. Amazon Marketplace invites sellers to list products, observes exactly which products sell, and then launches competing Amazon Basics versions using the sales data it collected from the sellers it hosts. A market can be efficient and still concentrate benefits while diffusing harms. Efficiency is not fairness.

NoteTakeaway

There is no market without rules. The interesting questions are which rules exist, who wrote them, and who benefits. When markets fail, regulation is the standard correction, not an alien intrusion.

3.8 Exercises

Externality inventory.
Pick one social-media harm (polarization, teen anxiety, election misinformation). Identify the negative externality, who bears the cost, who captures the benefit, and why the price does not reflect the cost.
Public-good puzzle.
Classify “an informed electorate,” “trust in institutions,” and “online safety” as public goods. Explain the free-rider problem and why no single company has an incentive to produce them. What follows for who should produce them?
Information asymmetry.
Choose a feature such as a recommender, a “black box” credit or hiring model, or an ad auction. Who knows more, the operator or the user? What could close the gap: disclosure, audit, a right to explanation, or something else?
Natural monopoly.
Argue whether a dominant social network is a natural monopoly due to network effects, high switching costs, and/or data advantages). If it is, what follows for regulation?
Free market autopsy.
Find a product described as “the free market at work.” List every government rule (and private rule) it depends on related to property, contract, fraud, liability, and standards. Discuss: is “deregulation” ever actually the absence of rules?
Subsidy autopsy.
Pick a consumer product and list every government-funded technology inside it (the internet, GPS, voice recognition, vaccines). Then discuss who captured the profit and who paid the research bill.
Commons design.
Take a shared resource (an open-source project, a Wikipedia article, a neighborhood) and draft the design principles that keep it from turning into Hardin’s tragedy. Compare your list with Ostrom’s eight.