23.10.2025 12:24

The AI Revolution: When Transaction Costs Hit Zero, Do Companies Die?

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Artificial Intelligence is poised to radically transform the fundamental structure of the economy. By drastically reducing the costs of searching for information, negotiating, and contracting, AI agents threaten to rewrite the rules of production, distribution, and even the existence of large corporations.


The New Market for Agents

The rise of AI agents is creating a unique, hybrid market structure:

  • Demand as a Labor Market: User demand for agents will behave much like a labor market, hinging on an agent’s quality and ability to save time and improve decision-making. Users will effectively "hire" the best digital assistants.
  • Supply as a Software Market: Supply will be driven by intense competition among developers creating both universal personal agents and highly specialized bots.

This efficiency will increase market effectiveness, but it comes with a cost: market overload and new forms of manipulation. We can expect a flood of AI-generated résumés, personalized ads, and sophisticated scams, necessitating an overhaul of market infrastructure.

This future demands the creation of AI-native rules and regulations, specialized APIs for agent-to-agent communication, and a solution to the critical problem of digital identity ("human or bot?").

AI agents are set to replace traditional intermediaries like real estate agents, travel agents, and countless other brokers who currently profit from high transaction costs.


The Coasean Challenge: Why Firms May Shrink

Perhaps the most profound implication of this shift is the challenge it poses to the very existence of large companies. According to the Coasean theory of the firm, companies exist because coordinating action internally is cheaper than executing thousands of contracts in the open market.

If AI agents reduce market transaction costs to near-zero, the complex coordination of production could become more efficient via the market (agent-to-agent contracting) than through the hierarchical command structure of a firm.

In this world, the economy could become far more fragmented, composed of hyper-specialized individuals and small, agile teams contracting through an invisible network of AI intermediaries.

Agents as Hayekian Preference Discoverers

Beyond mere execution, AI agents are evolving into powerful Hayekian tools for revealing hidden preferences.

Humans often have a poor understanding of what they truly want. A sophisticated AI agent can analyze our behavior, noticing subtle patterns that escape our conscious attention. For instance, a housing agent might observe that while a user never mentioned a preference for large windows or proximity to a park, they unconsciously click on listings matching these criteria every time.

The agent thus transcends its role as a simple executor, becoming a coach or even a 'preference therapist,' helping users achieve self-discovery.

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The Digital Divide: Personal vs. Platform Agents

This agent-driven world will likely split into two competing models:

  1. The Personal Agent (The "Agent for You"): This fully personal, trustworthy agent acts solely in your interest. It poses a fundamental threat to the business models of giants like Amazon or Google because it can seamlessly compare offers across platforms and is immune to platform manipulation.
  2. The Bowling Shoe Agent (Platform-Owned): Like rental bowling shoes, you temporarily "rent" this specialized agent. While potentially smarter (as it runs in the cloud), it is also more sophisticated in manipulation and pursues the interests of its platform, not yours.

The future of economic power will be defined by which of these two agent models wins the user's trust.


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