Economics Paradigm Revolution: What Is Value and What Is an Asset in the AI Era?
When generation cost approaches zero, where does value come from? When knowledge can be infinitely replicated, what still counts as an asset? The basic concepts of economics are being redefined.
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The most fundamental questions of economics—what is value, what is an asset, what is scarcity—are being re-asked in the AI era. As marginal costs of writing, programming, translation, and design all approach zero, the traditional "labor creates value" theory meets its boundaries. Value is no longer primarily determined by production, but increasingly by verification, judgment, trust, and responsibility-taking. This article systematically analyzes how these basic economic concepts are changing in the AI era.
01Where Does Value Come From: From Labor Theory to Judgment Theory
Classical economics held that labor creates value, with Marx's labor theory of value as its culmination. Marginal utility theory argued that value depends on subjective utility and scarcity. But the AI era brings a new phenomenon: the same labor (generation) can be repeated infinitely, with costs approaching zero. This means the value contribution of production is declining, while the value contribution of judgment, verification, and selection is rising.
02What Is an Asset: From Owning Resources to Owning Trust
Traditionally, assets are resources with future economic benefits: factories, equipment, inventory, brands. But in the AI era, the value of many traditional assets is depreciating: because AI can replicate most digital assets. And what is appreciating? Trust—customers believe your judgment is reliable; attention—customers are willing to spend time listening to you; verification ability—you can judge at low cost whether AI output is correct.
03Scarcity Change: What Is Truly Scarce
The core of economics is scarcity analysis. What was scarce in the past: production capacity, knowledge, talent. Now these are no longer scarce—AI can produce infinitely, knowledge can be replicated infinitely, talent can be called via models. What is truly scarce then? Attention—human time and attention are limited; judgment—knowing what is right and what is important; responsibility—someone willing to be accountable for outcomes.
04OPC Economics: The Economic Model of One-Person Companies
The traditional company's economic model: mass production, economies of scale, division of labor. The OPC's economic model is completely different: one person + AI system can mobilize the workload that previously required dozens of people. But the OPC's bottleneck is not production capacity, but attention—one person's attention is limited. Therefore, the OPC's core competitiveness is not how many things it can do, but where it can focus its attention, and how many high-quality judgments it can make.
The core conclusion of the economics paradigm revolution: as generation cost approaches zero, value shifts from production to judgment and verification. Assets shift from owning resources to owning trust and attention. Scarcity shifts from production capacity to high-quality judgment. The OPC's economic model is built precisely on this new distribution of scarcity—one person amplifies their judgment through AI systems, and under the constraint of limited attention, creates value that previously required an entire organization.
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