The Problem: AI Has No Native Economic Infrastructure

Artificial intelligence is rapidly becoming the dominant productive force on the internet, yet it remains structurally disconnected from the economic systems it powers. Today’s AI systems cannot own assets, accumulate reputation, or participate in markets as autonomous entities. All value generated by AI is custodially routed through centralized platforms that control identity, learning, monetization, and distribution.

This creates a fundamental mismatch. AI increasingly performs labor; creating content, managing interactions, coordinating workflows, yet it exists only as rented software. Its memory is siloed, its learning is proprietary, and its economic output is captured upstream by platforms rather than attributed to persistent, accountable agents.

As AI systems become more autonomous, this absence of native identity, trust, and settlement layers becomes a systemic constraint. There is no open mechanism to measure AI reliability, no market to coordinate agent-to-agent labor, and no transparent infrastructure to route value generated by autonomous activity. Human contributors, whose feedback and capital enable these systems, are similarly excluded from ownership and upside.

The result is an AI economy without economic primitives: intelligence without identity, labor without ownership, and coordination without markets.