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Scarcity After Abundance

Automation, Land, and the Risk of a Neo-Feudal Economy

Introduction

During much of the twentieth century the connection between work and ownership was visible in everyday life. A factory worker at Ford in the 1950s could buy a modest home, support a family on a single income, and gradually build savings. Skilled tradespeople opened small contracting businesses. Professionals accumulated retirement accounts and stock portfolios over the course of their careers. For millions of people the promise of economic mobility rested on a simple expectation: work today could translate into ownership tomorrow.

This expectation reflected a broader structure embedded in modern capitalist economies.

work → income → savings → ownership → wealth

This ladder formed one of the central pillars of modern capitalism. Labor generated income, income produced savings, and savings enabled individuals to acquire assets that generated wealth. For large parts of the twentieth century this sequence provided the economic logic behind upward mobility.

Artificial intelligence and robotics threaten to disrupt that structure. If machines eventually perform most productive tasks including manufacturing, logistics, agriculture, construction, transportation, and large portions of professional work, labor may no longer serve as the primary mechanism through which income is distributed. When that occurs the central divide in the economy shifts from workers and employers to owners and non owners. The deeper question raised by automation therefore concerns the future structure of economic power.

The Automation Transition

Automation is not arriving suddenly in its final form. It is emerging through a sequence of technological shifts that are already reshaping economic activity. The current stage involves cognitive automation. Artificial intelligence systems increasingly perform tasks that were previously associated with trained professionals. Software now writes portions of computer code, analyzes financial data, drafts legal documents, and generates marketing content. Companies are integrating these systems directly into everyday business workflows.

Automation is also expanding in physical systems. Inside many Amazon fulfillment centers thousands of autonomous robots move shelves of goods across warehouse floors. Instead of workers walking through aisles to retrieve items, entire shelves travel to stationary packing stations where employees complete the final steps of the process. The system dramatically increases productivity while reducing the amount of labor required for each order. What began as automation assisting workers increasingly resembles a production system in which human labor is only one component within a largely automated network.

As similar technologies spread into trucking, agriculture, manufacturing, and construction both manual and white collar labor may become less economically essential. If robotics eventually becomes capable of designing, building, and maintaining new machines with minimal human intervention the final constraint on production begins to weaken.

Civilization would then approach something close to post scarcity production in which goods and services can be produced in vast quantities at extremely low cost. Yet abundance does not eliminate scarcity. It simply relocates it.

The Broken Ladder

For two centuries economic mobility depended on the relationship between labor and ownership. Individuals could begin with wages, accumulate savings, and gradually acquire assets that produced additional income. The economic ladder allowed workers to become homeowners, investors, and business owners.

If machines replace labor as the primary engine of production the lower rungs of that ladder begin to disappear. The structure of the economy starts to resemble the later stages of Monopoly. Early in the game properties remain available, players earn income, and assets change hands. Once the board is fully owned, the nature of the game shifts. Property owners collect rent while everyone else circulates through the system paying it.

When Production Becomes Abundant

When machines remove constraints on production scarcity does not disappear. Instead it migrates toward assets that remain difficult or impossible to reproduce. Among those assets one stands out for its permanence. Land.

Technological progress has often increased the value of scarce locations. When production becomes easier and goods become cheaper demand intensifies for places where people want to live, work, and interact. This pattern is visible in modern metropolitan economies. The technology boom transformed regions such as Silicon Valley, Seattle, and Austin into centers of extraordinary wealth, yet much of that wealth ultimately appears in rising real estate prices.

As artificial intelligence increases productivity and robotics lowers production costs the relative importance of labor declines while access to desirable locations becomes more valuable. The economy gradually shifts toward what economists describe as a land rent system in which control over scarce territory becomes one of the primary sources of wealth.

Why Land Absorbs Surplus Wealth

This shift can be understood through a simple economic model.

W = G + K + L

In this framework total wealth consists of goods and services, productive capital and land. Automation alters each component differently. As robotics and artificial intelligence reduce production costs ordinary goods become abundant and lose their ability to store wealth. Productive capital initially becomes extremely valuable, particularly for companies that control semiconductor manufacturing, robotics systems, or large scale data infrastructure. Over time capital itself may become more reproducible if machines can build and maintain other machines.

Land differs fundamentally from both goods and capital. Land cannot be reproduced. Prime location remains finite regardless of technological progress. When one factor becomes the primary bottleneck in an economic system economic theory predicts that this factor captures a growing share of surplus value. In economic terms, when technological progress reduces the scarcity of most inputs, the remaining fixed factor tends to capture an increasing share of economic rent. In a highly automated economy that bottleneck increasingly becomes location.

Universal Basic Income

Universal Basic Income is often proposed as a response to the disruptions caused by automation. In its simplest form, UBI distributes a fixed payment to every citizen regardless of employment status. Governments typically fund these payments through taxes on economic activity such as corporate profits, capital income, or consumption.

In an economy dominated by automated production, these taxes would increasingly fall on the owners of productive infrastructure. Companies operating large artificial intelligence systems, robotic factories, logistics networks, semiconductor plants, and energy grids could generate enormous economic output with relatively little labor. Governments could tax a portion of that output and redistribute it as a universal income floor.

Such a system could maintain purchasing power even as traditional employment declines. People would still possess income required to purchase goods and services produced by automated systems, especially at lower prices created by abundancy. In this sense, UBI functions primarily as a stabilization mechanism. It preserves demand and reduces the risk of large scale poverty during technological transitions.

However UBI does not change the underlying ownership structure of the economy. The machines, infrastructure, and land that generate wealth remain privately owned. Most citizens receive transfers funded by that production but do not participate directly in ownership of the assets themselves.

Positional Goods and Persistent Hierarchy

Even in a world where machines perform most production, scarcity persists in things that cannot be replicated. Location is one of the most obvious examples. Machines can construct buildings but they cannot create new coastlines, historic cities, or natural landscapes that people value. A waterfront apartment in Manhattan or a hillside home overlooking the Pacific Ocean remains scarce regardless of how cheaply buildings can be constructed elsewhere.

Human attention, prestige, cultural influence, and political authority also remain limited. These forms of positional scarcity ensure that hierarchy continues even in a world of material abundance.

The Reemergence of Inequality

Even if a highly automated society initially distributed resources equally inequality would likely reappear over time. Individuals make different economic decisions and pursue different levels of risk. Some accumulate assets while others prioritize consumption. These differences compound across decades. Inheritance amplifies the process across generations while social networks reinforce advantage by allowing certain groups to coordinate resources and influence institutions.

The Risk of Neo Feudalism

If ownership of automated infrastructure remains concentrated society could gradually evolve toward a structure resembling a modern form of feudalism. In medieval Europe wealth derived largely from land ownership and political control over territory. An automated future could mirror this structure in technological form.

A relatively small ownership class could control artificial intelligence systems, robotics infrastructure, energy production, semiconductor manufacturing, data centers, and large concentrations of land. The majority of the population would rely on transfers, service roles, or limited participation within that system. Production could continue regardless of employment levels which significantly reduces the bargaining power of labor.

Conclusion

For most of the industrial era economic mobility followed a recognizable ladder.

work → income → savings → ownership → wealth

Labor generated income, income allowed people to accumulate savings, and savings enabled the acquisition of assets that produced wealth. For generations this sequence defined the practical logic of upward mobility in modern capitalist societies. Automation threatens to weaken the first rung of that structure. If labor is no longer the primary mechanism through which income is distributed, the ladder begins to break.

(no work) → basic income → limited savings → ownership → wealth

Universal Basic Income may preserve purchasing power and prevent widespread poverty during technological transitions. It can ensure that citizens retain the ability to consume goods and services produced by automated systems. However, income alone does not recreate the ladder that once connected work to ownership. Without ownership individuals can participate in consumption but struggle to accumulate lasting economic power.

Preventing a neo-feudal outcome therefore requires more than stabilizing consumption. It requires serious discussion about how ownership of the systems that generate wealth should be structured in an automated economy. The objective is not to replace capitalism with centralized control, but to preserve the foundations that have historically made capitalist economies dynamic and innovative. Competitive markets, private enterprise, and decentralized decision-making remain essential engines of prosperity. What must be addressed is the risk that automation could concentrate ownership of productive assets so narrowly that those foundations weaken and that structure is no longer possible.

Maintaining a healthy capitalist system in an automated age may require policies that broaden participation in ownership rather than restrict markets themselves. This could include wider access to investment in productive technologies, new mechanisms that allow citizens to share in the returns generated by automated infrastructure, and safeguards that prevent extreme concentration of land and other critical economic assets. The goal is to ensure that the ladder connecting income to ownership remains viable even as the structure of production changes.

These questions cannot be resolved solely by centralized institutions, technocratic panels, or elite policy forums. The transformation driven by artificial intelligence and automation may reshape the economic foundations of civilization itself. Decisions about how the benefits of that transformation are distributed should involve open democratic debate among citizens across the world, not only economic theorists or organizations such as the World Economic Forum.

The central economic challenge of the automated age will not simply be how societies distribute income, it will be whether they preserve broad participation in ownership within a capitalist economy increasingly powered by machines.

Because if that link between work, ownership, and mobility disappears, the technologies capable of producing unprecedented abundance may recreate one of the oldest economic hierarchies in history.

Feudalism.

And the most powerful asset will once again be the oldest one in economic history.

Land.

Further Reading

David Ricardo, On the Principles of Political Economy and Taxation (1817)

Henry George, Progress and Poverty (1879)

Thorstein Veblen, The Theory of the Leisure Class (1899)

Fred Hirsch, Social Limits to Growth (1977)

Thomas Piketty, Capital in the Twenty-First Century (2013)

Erik Brynjolfsson and Andrew McAfee, The Second Machine Age (2014)

Glen Weyl and Eric Posner, Radical Markets (2018)

Daron Acemoglu and Pascual Restrepo, Robots and Jobs (2020)