For decades, economics assumed one thing: Only humans make economic decisions.

That assumption is now obsolete.

AI agents are starting to earn, spend, negotiate, and coordinate. Not as tools, but as actors. Stripe is experimenting with agent payments. Stablecoins are becoming machine money. APIs are turning into economic interfaces.

This is not incremental progress. This is the emergence of a new class of economic participants.

And yet, something doesn't add up.

We Are About to Plug Agents Into an Economy We Barely Understand

A recent paper, "An Economy of AI Agents" by Hadfield & Koh, asks a deceptively simple question:

"To what extent do our models of humans predict the behavior of artificial agents?"

The answer is: they don't.

Not reliably. Not predictably. Not at scale.

Agents don't behave like humans. They don't even behave like rational actors in the economic sense. Their preferences are unstable. Their reasoning is probabilistic. Their decisions can drift, degrade, or misalign — even when they appear correct.

The market problem

Markets only work if prices reflect preferences. As the paper points out: "The mistakes introduced by AI consumption could decouple prices from preferences." If agents become the ones buying, selling, and optimizing, what exactly are markets reflecting? Not necessarily us.

The Real Bottleneck Isn't Intelligence. It's Coordination.

The industry is obsessed with making AI smarter. Better models. Better reasoning. Better alignment. But intelligence is not the limiting factor anymore.

Coordination is.

Because as soon as agents interact with each other — not just with humans — the system changes entirely. Now you don't have one agent making a decision. You have thousands. Negotiating. Composing. Competing. Cooperating.

And suddenly, everything breaks:

  • Agents don't share meaning.
  • They don't operate under common rules.
  • They can't reliably verify each other.
  • They don't even agree on what a resource is.

So what happens? The system fragments. Into brittle integrations. Opaque decisions. Local optimizations that don't compose. Exactly the kind of instability that turns an economy into noise.

We Are Building an Economy Without Institutions

The Hadfield & Koh paper makes a deeper point — one that most people miss.

Markets don't just run on participants. They run on infrastructure.

Legal systems. Identity. Contracts. Accountability. Institutions.

But agents don't have any of that:

  • No native identity.
  • No shared semantics.
  • No enforceable coordination rules.

We are about to let them transact anyway. This is the equivalent of launching global markets without property rights — and hoping for the best.

This Is Where Everything Breaks — Or Changes

Because once agents are economically empowered, they don't just participate in markets.

They reshape them.

They change how demand is expressed. How supply is matched. How decisions are made. How organizations scale.

As Hadfield & Koh put it, agents could "reshape markets and organizations with profound consequences for the structure of economic life."

That future is not hypothetical. It's already starting. The only question is whether it will be coherent or chaotic.

The Missing Layer: Orchestration

What's missing is not another model.

It's a coordination layer. A way for agents to:

  • Understand each other
  • Negotiate context
  • Execute under shared logic
  • Operate within verifiable systems

Not through APIs. Not through hardcoded workflows. But through shared meaning and programmable coordination.

This is not a tooling problem. It's a protocol problem.

Axone: Making the Agent Economy Possible

Axone exists because this layer does not exist.

It introduces something fundamentally new: a semantic and economic orchestration layer for AI systems.

  • A way for agents to describe themselves in a shared ontology — so they can be discovered and composed without brittle integrations.
  • A way to express coordination not as code, but as logic — declarative, auditable, and adaptive.
  • A way to define environments where rules are not global and rigid, but contextual — evolving with the system they govern.
  • A way to verify what actually happened — not what an agent claims it did.

This is not about making agents smarter.

It's about making them work together.

From Agents to an Economy

Without orchestration, AI agents remain:

  • Impressive demos.
  • Isolated capabilities.
  • Non-composable systems.

With orchestration, they become something else entirely:

  • Participants in markets.
  • Coordinators of resources.
  • Builders of autonomous systems.

That's the difference between AI as a tool — and AI as an economy.

This article builds on insights from "An Economy of AI Agents" (Hadfield & Koh, 2025).

The future won't be defined by models. It will be defined by whether those models can coordinate.

Because intelligence without coordination doesn't scale. It fragments.

Agents are coming. The economy isn't ready. Axone is.