A new paradigm has arisen while many of us slept. There's been a shift in economic power toward, or some might say back toward, feudalism. In his book Technofeudalism: What Killed Capitalism, Yanis Varoufakis defines and describes a new stage of capitalism. It is that we have moved beyond traditional capitalism into something that more closely resembles feudalism, only this time the fiefdoms are digital and the land is made of data, algorithms, and compute. Cédric Durand and Jodi Dean have explored this from different angles.
This essay accepts that diagnosis and argues for a response its diagnosticians have not offered. Across most of human history, and much of the world today, people have lived in communities of twenty to fifty families that produced their own food, built their own shelter, managed their own water, and found meaning in shared work and culture. The modern West treated this as a stage to grow out of. It may turn out to have been the most durable form of human organization we ever devised. The response to the technofeudal order is not to defeat it, and not to escape it, but to deliberately build the form of life that has always existed alongside it.
I. The New Lords
Classical capitalism is an economic system based on private ownership of the means of production, free-market competition, and minimal government interference. The major technology platforms (Amazon, Google, Apple, Meta) function less like manufacturers or service providers and more like digital landlords. They extract rent from everyone who needs access to their ecosystems. A merchant on Amazon is not competing in a free market so much as paying tribute to access Amazon's digital fief. A developer building on Apple's App Store surrenders thirty percent of every transaction for the privilege of reaching customers through Apple's gate. The platforms do not merely participate in markets. They become the market itself, collecting tolls from all participants.
But the analogy extends further than these platforms. Add to the feudal lords the frontier model makers: Anthropic, OpenAI, Google DeepMind, Meta AI. The platform companies built digital marketplaces and extracted rent from the people working inside them. The model makers are doing something similar but at a deeper level. They are building the cognitive infrastructure that knowledge work increasingly runs on, and positioning themselves as the metered utility everyone must pay to access it. Amazon made sellers dependent on its marketplace. The model makers are making lawyers, consultants, engineers, and analysts dependent on rented intelligence billed by the token, gated by tier, and subject to terms that can change overnight.
The capability itself is not the problem. An agentic system that compresses a hundred hours of work into an afternoon is, in principle, a gift, the same kind of gift that the spreadsheet or the compiler once was. The problem is who owns the gift and on what terms it is dispensed. Spreadsheets became a commodity application; anyone can run one, modify one, build one. Frontier models are being deliberately structured the opposite way. Closed weights. Opaque pricing. Capability tiers that reserve the most useful work for the highest-paying customers. As the feature set expands so dependence is ratcheted up, too. The knowledge worker, who once worked their craft, now rents a tool that does it, from a landlord who can raise the rent, change the terms, or revoke access entirely.
This is not the first time technological change has disrupted workers. The industrial revolution displaced specific workers from specific tasks, but it created new ones as fast as the old ones were destroyed. The weaver lost the loom but gained the factory. The factory worker lost the line but gained the office. The office worker lost the filing cabinet but gained the knowledge economy. Each wave was painful and uneven, but the category of human economic participation kept expanding. There was always a frontier of work that required human judgment, human relationship, human presence.
The trajectory now seems different. Previous technologies augmented or replaced narrow human capabilities, leaving a broad frontier of general intelligence and embodied judgment as uniquely human. AI coupled with robotics targets those general capabilities themselves. The cognition that distinguished the knowledge worker, the dexterity and adaptability that distinguished the skilled craftspeople are being absorbed into systems owned by a handful of firms. There may still be a frontier left for humans to retreat to. We do not yet know. But for the first time, it is a serious question whether one will exist at all. The answer is being decided not by economic necessity, but by who happens to own the models and the machines when the frontier closes.
The feudal endpoint is not mass unemployment in the Keynesian sense. It is a population whose economic relevance is mediated entirely through its relationship to the owners of the productive apparatus.
You will own nothing and be happy.
You do not produce. You consume what is distributed.
You do not sell your labor. You negotiate a share of what the machines produce.
Medieval peasants were not unemployed in our modern sense. They were locked out of any economic agency beyond what the lord permitted. That is the structure worth focusing on, and it is not primarily a question of income. It is a question of agency and of whether human industry survives the transition.
II. The Evidence
This is not a future scenario waiting to unfold. The mechanism is already operating, and the market has started pricing it in. Agentic AI systems can now produce in minutes what once took a skilled worker dozens or hundreds of hours. For example, a functional business application, a contract review, a security audit, or a financial model. What changes is not just the speed of the work but the location of the value: the model makers absorb the margin that used to flow to the worker, the firm, and the entire ecosystem of software vendors that supported them. Disruption comes to software engineering first because code is a legible and verifiable form of knowledge work for a large language model. From there, it has been spreading rapidly into every domain where knowledge work can be decomposed into tasks that fit within a context window. The evidence has stopped being speculative. It is showing up in stock tickers and earnings calls.
On February 3, 2026, Anthropic released a legal workflow plugin for its Claude Cowork platform. The tool automates contract review, compliance workflows, and legal briefings, tasks that represent the core revenue streams of established legal technology companies. The market reaction was immediate and violent. Thomson Reuters fell sixteen percent in a single session, its largest one-day decline on record. LexisNexis parent RELX dropped fourteen percent. Wolters Kluwer fell thirteen percent. LegalZoom lost nearly twenty percent of its value. Bloomberg analysis estimated the announcement triggered a two-hundred-eighty-five-billion-dollar rout across software, financial services, and asset management stocks in a single day. The S&P 500 Software & Services Index fell nearly nine percent over five trading sessions and stood more than twenty percent below its October peak.
Pay close attention, Thomson Reuters is not a worker. RELX is not a worker. These are the firms that built and sold the tools knowledge workers used to do their jobs (case law databases, compliance platforms, legal research subscriptions). What investors recognized in a few hours of trading is that the model makers are not just competing with the lawyer or the analyst. They are competing with the entire ecosystem of products and services those professionals used to buy, and routing all that value through their own API. A legal database becomes a plugin. A compliance platform becomes a workflow. A seat license becomes a token meter. Suddenly, decades of accumulated software margin were repriced as a feature set to be absorbed.
Three weeks later, on February 20, 2026, Anthropic released Claude Code Security. It's a tool that scans software codebases for vulnerabilities and suggests patches. This time the carnage hit cybersecurity. JFrog plunged twenty-five percent. SailPoint fell over nine percent. Okta dropped nine percent. CrowdStrike and Cloudflare lost roughly eight percent each. The Global X Cybersecurity ETF closed at its lowest level since November 2023. One industry analysis described it as a surgical strike: investors recognized that AI could reason through security problems, threatening to commoditize the high-margin subscription models that the entire cybersecurity industry is built on.
These cybersecurity stocks rebounded in the three months since these events. However, on April 7th Anthropic unveiled Claude Mythos, a frontier model stated to have found thousands of high security vulnerabilities in every major operating system and web browser. A tool like this will create a new epoch in cybersecurity. Mythos will stop the music, everyone will look around, and Anthropic will be sitting down in the last chair.
We're not seeing an analog to the displacements of weavers by looms, rather sections of the weaving industry are being absorbed into a single machine and rented out. These are not isolated or one-off incidents. A Harvard Business School study examining job postings from 2019 through 2025 found that postings for occupations involving structured, repetitive tasks (the kind most susceptible to AI automation) declined thirteen percent after the launch of ChatGPT, while demand for analytical and creative roles (susceptible to AI augmentation) grew twenty percent. Anthropic's own CEO, Dario Amodei, stated that AI could eliminate half of all entry-level white-collar jobs in tech, finance, law, and consulting within one to five years. This is not a critic issuing a warning, it's the builder of the tool describing what he believes his tool will do.
The economic floor is dropping out from under an entire class of workers, and the value is flowing upward to the small number of companies that control the compute infrastructure (the new "land") on which these models run. The people whose labor is being devalued have no ownership stake in the models doing the devaluing. They are, in fact, training these systems through their usage, their feedback, their expertise flowing through millions of conversations, and that value accrues to the companies sitting atop the infrastructure.
The peasant improves the lord's land and the improvement belongs to the lord.
You cannot build your own frontier model any more than a medieval peasant could acquire a duchy. The capital requirements (billions of dollars in compute, data, and engineering talent) ensure that this remains the province of a tiny elite. At times like this it's normal to rethink career paths or career options. The most intuitive place to look is down to physical work and manual labor since physicality is safer than cognition.
III. The Trades and Service Refuge and Its Limits
A response I've often heard, at least in the conversations happening about displaced workers, is the suggestion to switch to the trades or to hands-on service work. The argument is intuitive: the moat will be physical atoms and human interaction. Robots that can climb into a crawl space, diagnose that noise your car is making, and solder a joint in the real world are much further out than software that can write a web application. The same logic goes for personal services like a masseuse, a hair stylist, a personal trainer, a home health aide. These roles require physical presence, human touch, and interpersonal attunement that no algorithm can replace yet. If you work with your hands on other people's bodies, homes, or physical spaces, the reasoning goes, you will still have work to do. Atoms are harder than bits. There is a kernel of truth here, but it has several weaknesses.
First, it demands a massive mismatch of temperament and investment. Telling a mid-career knowledge worker with deep technical expertise to apprentice as a welder or retrain as a dental hygienist is not merely a career change. It is starting over from zero in a domain that requires years of experience, licensing, and in many cases physical conditioning. The economics of that transition are brutal for anyone with a family, a mortgage, and decades of professional identity built around cognitive work.
Second, neither trades nor service work are immune to disruption; they are merely on a longer timeline. Robotics is advancing rapidly. Boston Dynamics, Figure AI, and a constellation of Chinese robotics labs are developing general-purpose physical labor robots. They're planning deliveries in years, not decades. Another area making rapid advancement is prefabricated and modular construction which is already reducing on-site skilled labor needs. Even before full physical automation, AI can consume the knowledge worker segment of trades work: estimating, diagnostic reasoning, code compliance analysis, scheduling, and project management. Margins compress even while the hands-on work remains human. Service work faces a parallel squeeze: AI handles the booking, the marketing, the inventory management, the client communication, and the billing, leaving the human to perform only the physical act itself, often for less pay as the overhead of running an independent practice approaches zero for AI-equipped competitors.
Third, if everyone follows this advice simultaneously, you simply crash the labor market in trades and services. The moat only works if it stays uncrowded. It is the classic problem of guidance that is individually rational but collectively self-defeating.
The final objection is one that the trades-and-service-as-refuge thesis ignores entirely: the demand side. In a technofeudal economy, who hires the roofer? Who books the physical therapist? If the broad middle class of knowledge workers sees its income collapse because agentic AI has devalued their labor, the entire consumer economy that sustains tradespeople and service providers collapses with them. Your neighbor is not remodeling their kitchen if their income just got replaced by an agentic AI workflow that costs their employer a fraction of a salary. Nobody is scheduling spa appointments or hiring a personal trainer when they cannot make rent. The housing market contracts. Fewer people qualify for mortgages. The whole downstream chain of HVAC technicians, electricians, stylists, home health aides, and fitness professionals sees demand evaporate, not because of automation but because their customers went broke.
In a feudal economy, tradespeople and servants serve the aristocracy. The village blacksmith did not get rich off other peasants; he existed at the pleasure of the lord. If we are heading toward a world where a tiny class controls the cloud capital and everyone else is scrambling, then tradespeople and service providers become servants of the few, not independent operators serving a broad middle class. The rest of the population would resort to barter (I will rewire your garage if you watch my kids), which is just how peasant economies functioned. We would be reinventing medieval economic structures with modern tools lying around unused because nobody can afford to pay for anything through formal channels.
IV. The Lords' Dilemma
This brings us to a fundamental contradiction at the heart of the technofeudal model: the lords need serfs or they're just a person standing in a field. If middle-class income collapses, who pays for the subscriptions? The platforms would have killed their own customers. Two options emerge from this contradiction, and they are not mutually exclusive.
The first is managed dependency. This is the historically grounded scenario, because it is what every extractive system has done. Serfs were not left to starve, their lords kept them at subsistence, enough to keep working the land, not enough to leave it. Look at platformers like Google who provide search, email, maps, and photo storage at no cost. The user pays with data, attention, and behavioral training. Scale that arrangement up and you arrive at a world where housing, food, and digital access are provided at subsistence level, not from generosity but because the system needs a substrate. People generate data. People provide the thin remaining layer of human judgment that the models still require. People consume the content that trains the next generation of models. You are alive and fed and entertained, but you own nothing and your existence serves the platform. This is the world Huxley imagined. Not where you are oppressed by force, instead you are pacified by convenience. The soma is your feed. The conditioning is the algorithm. The elimination of striving is the point.
The second one is darker: population as liability. If AI and robotics reach a point where they make human labor unnecessary then large populations shift from being an asset to being a cost center. Historically, the masses have been needed for three things: labor, military power, and consumption. If all three are removed then the math changes. This does not require a conspiracy. It requires only indifference. South Korea's fertility rate is 0.7 children per woman, less than a third of replacement. Japan loses more than half a million people every year. American births have fallen every year but one since 2007, and the median age of a first-time mother has climbed past thirty. The conditions that produced these numbers — unaffordable housing, collapsing income prospects, the steady drift of family formation into the unaffordable luxury bracket — are not being reversed. They are accelerating. You do not need a sinister plan. You only need the people in power to not care that the conditions they have created are incompatible with reproduction. Neglect accomplishes what conspiracy does not need to.
These paths can operate simultaneously in different places: a managed dependent class in wealthy nations kept at subsistence on platform services, while populations in less strategically important regions decline through economic pressure and neglect. Neither requires malice. Both require only that the people in control of the productive apparatus continue to act in their own interest.
Universal basic income is the policy response most often invoked as the solution to all of this, and it deserves to be taken seriously precisely because it is being floated by the same people building the systems that make it necessary. Sam Altman and Elon Musk have endorsed it and Andrew Yang ran a presidential campaign on it. The fact that the lords themselves are the loudest proponents of distributing a stipend to the displaced should provoke more suspicion than it does. A UBI that materializes under technofeudal conditions is not liberation. It is the feudal analogy made explicit: the lords distributing subsistence to the peasants to keep the system from collapsing entirely. The serf received a portion of what he grew on the lord's land. The technofeudal subject would receive a portion of what the machines produced on the lord's compute and that compute may soon produce not just software and analysis but meat, fish, eggs, dairy, and vegetables. The structure is identical. Only the medium has changed.
Under either scenario, managed dependency or benign neglect, with or without a UBI stipend, the question narrows to the same point: what does a human society physically need to survive, and can even that be taken away?
V. What Remains Essential
Strip the economy back to subsistence infrastructure and ask what human labor is truly irreplaceable for, and the list is startlingly short: food production, water management, waste management, and energy production. These are the four pillars. Everything else (healthcare, education, legal systems, financial services) either gets automated and delivered as a platform service by the lords or simply disappears for most people.
Even these four pillars are vulnerable. Industrial agriculture is already heavily mechanized. Every year more advanced AI systems are created or incorporated. It's possible that large-scale commodity farming could become nearly fully automated within a generation. Water management's monitoring and optimization layers are natural targets for AI. Waste management, perhaps the most resistant to full automation due to the unpredictable and unstructured nature of garbage, will eventually yield to improving robotics. Energy production is already on its way to automation through solar, wind, and battery systems that require minimal human oversight.
If robotics keeps pace with AI (and the trajectory suggests it will), then even the physical labor in these essential domains gets automated, removing the last functional need for a serf class. At that point, the displaced population is not even exploited labor. It is simply mouths consuming food and water and producing waste, with no role in the system that feeds it.
Healthcare offers a particularly clear illustration. The lords do not need to actively destroy healthcare for the masses. They need only stop subsidizing it. Medical AI and robotic surgery become premium services for those who can pay. Everyone else gets triaged by an algorithm optimizing for cost rather than outcomes. The prototype already exists in insurance companies using automated systems to deny claims. Scale that capability while removing the regulatory apparatus that currently constrains it (an apparatus that requires a functioning democratic middle class to maintain), and healthcare becomes another feudal privilege.
Education follows a similar structural logic. Public education was shaped by industrial capitalism's need for literate, punctual, and compliant workers. If those workers are no longer needed, the institutional incentive to educate the masses evaporates. The lords will educate their own children, probably with extraordinary AI tutors. Everyone else gets whatever they can scrape together. Not because anyone decrees it, but because funding and political will dry up. Neglect, again, rather than conspiracy.
The inventory of what can be automated or abandoned is, by this point, nearly total. But after cataloging what the machine can take, it is worth asking whether anything remains that it cannot.
VI. The Meaning Moat
There is, however, one domain where human activity retains not just economic value but irreplaceable value. It is not knowledge work, which AI is already consuming. It is not physical labor, which robots will eventually master. It is creative and interpersonal expression (art, music, games, storytelling, sport, community, and religious practice), and it retains its value not because AI cannot produce technically superior output, but because humans do not actually want technically superior output. They want human output.
Let's look at chess. The first chess algorithm was written by Alan Turing in 1951. By 1977 Chess Challenger 1 was the first commercially available chess computer. In 1997 IBM's Deep Blue beat Garry Kasparov, the reigning world chess champion. Since then chess engines have been superhuman. With a five-dollar app on a phone anyone can beat a grandmaster and yet human vs human chess is thriving, arguably more popular today than at any point in history. Why? Because the point was never to see the optimal move played. The point is to watch a human mind struggle, create, fail, and transcend. The beauty of Magnus Carlsen's gameplay lies not in the objective quality of the moves but in knowing that a human found that move under pressure, with all the limitations and emotions that entails.
In music I find the same thing operating. I've listened to AI-generated music, and found the experience pleasant and thought the compositions seemed technically competent, but knowing these particular songs emerged from pattern optimization with little to no human shaping drained them of meaning. When you listen to human-made music you are connecting to an experience: someone who has suffered, loved, doubted, and channeled all of that through disciplined craft into something they are offering to you. That is a fundamentally different transaction than an algorithm producing patterns that trigger dopamine responses.
Reader, do not misread my position to be between human-made and AI-made, rather it is between work and shortcut. The infamous "Will Smith eating spaghetti" video, generated from a one-line prompt, is empty (albeit hilarious). A creator like Gossip Goblin on the other hand uses the same kind of generative tools but treats them like a medium. They've built characters, provided a story arc, sustained a voice, and made thousands of choices in service of a story. This is comparable to CGI pioneers who made movies like Star Wars and Lord of the Rings, just to name two, whose computer assisted methods were not a substitute for vision. The director's imagination, the animator's craft, the storyteller's intent are still there. What collapses meaning is not the tool. It is the absence of a human on the other side of the tool. A cheap prompt strips all of that out. The disciplined use of the same technology preserves it.
In a technofeudal world, the most durable moat is not physical atoms but meaning. Activities like games, poetry, live music, handmade crafts, live theater, sports, and storytelling are fundamentally about the experience of witnessing other humans do things. We are the point. But in a feudal economy, this moat has limited economic value. Entertainment would be exchanged in the peasant economy for barter at most, and more likely offered freely, for the joy of it. Which is, perhaps, how it should have been all along.
But meaning requires a material foundation. Art and human connection are irreplaceable, yet they require fed, sheltered, watered, and warm people to exist. The musician still needs to eat. The question becomes whether people can secure that foundation for themselves, and it turns out, I've already hinted at a solution.
VII. Islands of Self-Sufficiency
From historical observations to pillars of an economy there are threads that point to a response that can be constructive. At every stage of the discussion, from food production to water management to energy to construction, there are islands of self-sufficiency available to those willing to learn the skills. Farming to feed your family. Well digging and water filtration. Composting and waste reduction. Harnessing solar or micro-hydro power for electricity production. These are established practices, some of them ancient, and all of them accessible to motivated learners.
To pick one area, construction offers several practices that can be developed into a discipline by a community. Earthship design, developed by Michael Reynolds in New Mexico, is a type of building that integrates shelter, water harvesting, thermal regulation, food production, and waste treatment. Earthships are made largely from salvaged materials and utilize passive solar orientation for heating and greenhouse growing. Cob construction (which is a mixture of clay soil, sand, and straw sculpted by hand into walls) requires no forms, no manufactured materials, and minimal tools. A community can build a cob structure with almost no prior expertise. Other examples like adobe, wattle and daub, and rammed earth are viable starting points for a community to learn and hone without robust industrial supply chains.
The meta-skill beneath all of these specifics is community organization. No individual or single family can efficiently manage food production, water systems, energy generation, waste processing, construction, healthcare, education, and governance simultaneously. But a community of twenty to fifty households with distributed specialization absolutely can, which is, how pre-industrial villages functioned for millennia. One group develops their construction expertise. Another manages the food forest. Others maintain the water systems. And music, stories, and games come from the same people who are building their community like the gardener who plays guitar on Friday and the waste processing specialists who organize outdoor games. Culture emerges from the community becoming the deepest form of organization.
I want to pause here to acknowledge that this entire discussion risks overlooking something when read from the perspective of one within the industrialized West. Village-scale self-sufficiency is not a novel idea to be invented. It is the default mode of human existence for most of history and much of the present world. Hundreds of millions of people alive today live in communities that already practice what this section catalogs: subsistence agriculture, rainwater harvesting, earthen construction, communal governance, barter economies. The condescension embedded in terms like "developing world" or "primitive" is itself a product of the techno-capitalist worldview this essay is critiquing. What the industrialized world dismisses as backwardness may turn out to be the most durable form of human organization, tested across millennia and still functioning while the digital economy threatens to eat itself. The proposal here is not to invent something new. It is to choose to value something that already exists and has been working for a very long time.
VIII. The Pivot
We need to reframe from speculative dread to practical action. Instead of debating whether or how completely or when the technofeudal scenario will play out the more useful question is why not begin building toward an alternative now. If the technofeudal scenario materializes, communities built on self-sufficient principles have resilience. If it does not, those same communities offer something independently desirable: lower cost of living, stronger social bonds, greater autonomy, a more meaningful daily life. There is no scenario in which the effort is wasted.
It would be ideal to have a Village Blueprint: the definitive account of how twenty to fifty families organize a functioning self-sufficient village. It would have chapters for site selection, land and legal structure, food, water, energy, waste, governance, economics, education, healthcare, and culture. I want to be honest, I'm not going to try to write that book. It is not merely that no single person has mastered all of those domains. I argued that no individual or family can manage food, water, energy, waste, construction, governance, and culture alone, that the meta-skill is distributed specialization. A lone author producing the authoritative Blueprint would be guilty of this very mistake. Furthermore, because soil, climate, law, and culture differs everywhere there is no one-size-fits-all village plan. The Blueprint should not be written. It should be grown.
Instead, the Onramp: a skills curriculum and community-formation pathway anyone can begin immediately. It should have modules that allow anyone to begin wherever they are, with whatever they have. Are you interested in container gardening and food preservation? Rainwater collection? Basic construction with hand tools? Finding the few families you can trust? The harder soft skills like consensus and conflict resolution? These competencies are worth reclaiming on their own merits, whether or not anyone ever forms a village; they are fundamental human capacities most of us have outsourced to specialists and supply chains.
But the Onramp is more than a course. It is the engine that produces the Blueprint. When a household in one region solves its water problem, that solution, what they tried, what failed, what finally worked in their soil and their climate and under their county's rules, becomes the starting point for the next household. Multiply that across hundreds of groups and the patterns that hold across all of them are the Blueprint, written by the people living it rather than by an author imagining it. Recall that under the old arrangement the peasant improves the lord's land and the improvement belongs to the lord. Here the inversion is the entire point: the practitioner who does the work owns it, and freely passes it on. The Onramp is the flywheel. The Blueprint is what accumulates in its wake, slowly, in public, and it is better for never having had a single author.
This is also what keeps the model viable rather than fringe. These communities are not trying to disappear. They produce surplus food, crafts, art, and skilled labor they trade externally. Members may hold outside jobs or sell their work online. Children learn both self-sufficiency skills and conventional academics. People can leave if and when they choose in a community characterized by openness, transparency, and hospitality. That distinguishes it from the survivalist compound whose insularity invites suspicion from the outside and rigidity from within.
But this raises an uncomfortable question: If these communities succeed by demonstrating, visibly and undeniably, that the dominant system is optional, how does the dominant system respond? Every historical attempt at autonomous community has eventually had to answer this.
IX. Defense Through Demonstration
Every self-sufficient community that has historically opted out of the dominant power structure has eventually had to deal with that power structure showing up at its door. A single off-grid community is ignorable. A movement of communities opting out is an existential threat to the technofeudal model, not militarily, but narratively. If people can see a viable alternative where life is decent without dependence on the platforms, the whole structure of compliance weakens. Threatened powers have often cracked down hardest not on the desperate but on the successfully independent. The threat is not rebellion. It is demonstration that the lords are not needed.
The Amish offer an example of centuries of sustained autonomy within a dominant power structure. They did it not by hiding, but through a deliberate and repeatable set of moves. The first is selective engagement: they participate in the surrounding economy on their own terms, selling furniture, produce, and labor outward while refusing the parts of modern life that would dissolve them. They have at times accepted narrow legal carve-outs rather than total separation. In 1965, Congress amended the Social Security law (Public Law 89-97) to exempt self-employed members of recognized sects, a fight the Amish won partly because the IRS first tried to enforce the tax by seizing Amish farmers' property. In one case the IRS confiscated a man's horses while he plowed. The public reaction to that heavy-handedness made the accommodation easier to grant than to withhold. The second move is strong internal governance: the church district, small enough that everyone knows everyone, enforces norms and cares for its own elderly and infirm. This is precisely the argument they made for the exemption, that a community that takes care of its dependents doesn't need the lord's insurance. The third is geographic distribution. They are not concentrated in one place that a single hostile statute could extinguish; as of 2025 they number roughly 411,000 people across 32 states and three Canadian provinces, and when one jurisdiction becomes inhospitable, families simply move to one that isn't. The fourth is persistent, non-confrontational negotiation for legal protection. Here the concrete example is Wisconsin v. Yoder (1972), in which the Supreme Court held that Amish children could not be subjected to compulsory schooling past the eighth grade because the families' free-exercise rights outweighed the state's interest. Notably, the Amish did not litigate that case aggressively themselves. A coalition of non-Amish religious leaders organized and funded the defense on their behalf. They survived, in short, by being boring and useful rather than threatening - and they did more than survive. The Amish population has more than doubled since 2000 and doubles roughly every twenty years. A community can opt out of large parts of the dominant system and still outgrow it.
The Seminole Tribe of Florida offers a different and equally impressive example. They call themselves the "Unconquered People," and the name is earned: they are the only tribe that never signed a peace treaty with the United States. Descended from roughly three hundred people who evaded capture by retreating deep into the Everglades during the forced removals of the 1800s, the Seminole survived through geographic inaccessibility and sheer refusal to submit. Then, in 1957, they organized a constitutional government, gained federal recognition, and began converting sovereignty into economic leverage. They opened the first high-stakes bingo hall in the country, won a landmark legal case affirming tribal authority over state gambling law, and eventually acquired Hard Rock International, becoming a global entertainment and hospitality power.
The Amish model is quiet persistence. The Seminole model is strategic defiance followed by economic self-determination. While new communities cannot replicate the legal framework that their sovereignty rests on, the underlying logic is transferable. The Seminole found a seam in the dominant legal order. It was a place where their distinct status let them do something the surrounding system could not reach. With that they built economic independence. The task for a new community is to find its own seam. There are several already cut into American law, waiting to be occupied. The community land trust separates land from the speculative market and can hold it out of reach of the forces concentrating ownership everywhere else. Agricultural and right-to-farm protections shield rural production from nuisance suits and zoning. Religious-liberty doctrine carved out an entire parallel education system in Yoder. Cooperative and nonprofit structures permit collective ownership and trade on terms the dominant model does not. None of these is as powerful as sovereignty. But each is a fissure in the legal bedrock where a community can set down roots that are genuinely hard to pull up, and the strategy is the same one the Seminole proved: survive first, organize, find the seam, and build inside it until removing you would cost more than leaving you alone.
Armed resistance against a modern state or corporate power is fantasy. The technology asymmetry is too great. What can work is making suppression politically expensive and strategically pointless: legal incorporation and conventional land ownership, radical transparency, economic interdependence with surrounding communities, geographic distribution across a network rather than concentration in a single vulnerable location, and active participation in civic life. A community that pays taxes, votes, sells goods its neighbors value, and invites journalists to visit is extraordinarily difficult to suppress without incurring costs that exceed any benefit.
The deepest defense, however, is cultural. The thing that protects a community is that its members prefer it to the alternative. Every intentional community that has failed from within (and most of them have) failed because people drifted back to the convenience of the dominant system. If what you are building feels like deprivation and sacrifice, people will leave the moment the lords offer them a comfortable subscription package. If it feels like a genuinely better life, then it sustains itself. The technofeudal lords are offering convenience. A self-sufficient community is offering meaning. That is a surprisingly strong competitive position.
X. A Thousand Villages
One village is a curiosity. Ten is a movement. A hundred is an alternative economic model. A thousand is a parallel civilization that coexists with the technofeudal system while demonstrating, by its mere existence, that the system is not the only option.
But let us recognize that parallel civilization already exists. Across the Global South, across island nations and rural Africa and indigenous territories on every continent, hundreds of millions of people live in village-scale communities. Only the industrialized world has spent centuries dismissing them as primitive, undeveloped, or in need of modernization. Even the adjectives we use ("developing world," "third world") contain an assumption that the only valid trajectory is toward the industrial-digital model. If a thousand self-sufficient villages in the West would constitute a parallel civilization, then we must accept the fact that this civilization is already here. In the Global South it is already functioning and already being overlooked by the same power structures this essay describes. We are not building something unprecedented.
Scale changes the project in kind, not just degree. Each village that succeeds makes the next one easier. Knowledge accumulates, supply chains for natural building materials thicken, governance models get refined by trial and error, and the cultural stigma of opting out fades a little more. The hundredth village is far cheaper to start than the first, because it can draw on the experience of the ninety-nine predecessors where the first had none. This is the flywheel from the Onramp running at the scale of communities rather than households.
The goal is not to defeat the technofeudal system or to convert the entire population. It is to reopen the one thing the system depends on keeping shut: the exit. The medieval peasant was not powerless because the lord was strong. He was powerless because he had nowhere to go. He was locked out of any economic agency beyond what the lord permitted. A technofeudal future requires exactly the same precondition. Managed dependency, subsistence delivered through the platform, a UBI stipend handed down from the compute. The leverage has always been the absence of an elsewhere.
So a village does not have to defeat anything. It only has to be an elsewhere. And the moment a viable elsewhere exists, the terms change for everyone. The exit does not have to be taken; it only has to be real. This is why a hundred villages matter even to the millions who will never join one. By restoring the right to say no, they make a captive population into a free one. The future shifts from a monoculture of platform dependency to an ecosystem with pockets of human autonomy.
The time to begin is now, not because collapse is imminent, but because every step toward self-reliance makes life better and the future more secure regardless of what happens. The best time to plant a fruit tree was ten years ago. The second best time is today. The same is true for planting a community.