Networks Ate the Markets
Before the Industrial Revolution, there were no markets in the modern sense. The king was not rich because the poor bought his products — the king was rich because he forced the poor to produce for him. Voluntaryism-based markets emerged following the first Industrial Revolution. The third Industrial Revolution — the internet — is killing them.
The mechanism is network effects. A railroad company does not just serve cities — it connects them. If you have n cities, the city-to-city relationships are n-squared. The value proposition is proportional to the square of the number of participants, not the number itself. At roughly 10% of total addressable market, a network reaches takeoff velocity where no competitor can catch up.
Building a railroad required massive physical infrastructure. What PayPal's founders realized — and this is why they knew Airbnb and Uber would follow — is that a smartphone app achieves the same n-squared effect without laying a single rail. Uber gets the monopolistic power of the railroads with just software.
This is why when Peter Thiel said "I will only invest in monopolies," he was really saying: markets are dead, you just don't realize it yet. The internet will kill them all. And in any sector where a monopoly exists, there is no efficient market hypothesis. The market is simply gone.
The Governance Problem
Every major network platform — Amazon, Uber, Airbnb, Meta, Google — is governed by one person, or at best a small board. Most of the founders were smart enough to structure things so that no board could constrain them. This is techno-feudalism: networks with the structural power of nation-states, governed by kings.
Curtis Yarvin's neoreactionary philosophy — which explicitly advocates for corporate monarchy — is not an accident of Silicon Valley culture. It is the political theory that matches the actual governance structure of network platforms. They pumped his ideas because his ideas describe what they have already built.
Nation-states are also being killed by networks. When a platform like Meta has more daily active users than any country has citizens, and controls more of the information environment than any government, the question of who governs the network is not academic — it is the defining political question of the 21st century.
Why Markets Cannot Come Back
Some hope that antitrust regulation can restore competitive markets. This misunderstands the physics. Network effects create natural monopolies — not monopolies through market manipulation or anti-competitive behavior, but monopolies that emerge inevitably from the mathematics of interconnection.
You cannot legislate away n-squared dynamics. If you break up a network monopoly, the pieces will immediately begin reconsolidating, because users derive value from being on the largest network. The question is not how to prevent network monopolies. The question is how to govern them.
Three Models for Network Governance
The Co-operative Model. Instead of a network owned by a founder and extracting maximum margin, a network owned by its participants who vote on the margin. The margin is set to cover platform operations — not to maximize extraction. Best product, best price, livable wages, no parasitic rent. This is the Etsy-but-better model: imagine a local artisan marketplace where you actually meet the makers, commission custom work, and the platform exists to serve the community rather than extract from it.
The Commons Model. Network infrastructure treated as a public good, like roads or the postal service. Funded through usage fees sufficient to maintain the system, with governance distributed among stakeholders. Ethereum's aspiration toward "commons as a service" — where revenue-generating projects automatically contribute to shared infrastructure — points in this direction.
The Hybrid Model. Networks that combine elements of hierarchy and network structure, because pure flat networks assume all agents have roughly similar capability, which is never true. What you want are "architectures of choice-making that involve networks, and will probably have some hierarchies that are healthier and more effective, that can replace some of the current ones."
The Subsidiarity Principle
One of the most powerful ideas for network governance is subsidiarity: decisions should be made at the lowest level capable of making them well. In a quadratic funding system applied locally, people vote on things they can see and evaluate. At the local level, you know not to invest in a particular person's project because that person is unreliable — there is "no psychopath detection at the large level, but at the local level, nobody wants to go to a restaurant owned by that guy."
Local governance has built-in reputation systems that global governance cannot replicate. "Someone can hide their reputation online, they can't hide it in person if they actually live there."
The design challenge is creating networks that operate globally — capturing the n-squared value — while governing locally, where trust and accountability actually function. This is where crypto's contribution could be most profound: not as speculative financial infrastructure, but as the coordination layer that enables global networks with local governance.
The Stakes
The fourth Industrial Revolution — AI — will capture the networks themselves. If network governance is not solved before AI systems become the primary agents within networks, the window for human-compatible governance closes permanently. The path leads to a few kings and everyone else being pretty poor in the networks — and then those poor people not even being needed for serf labor, because they get replaced by AI and robots.
The question of network governance is not a policy question. It is an existential one.
