Publications

Executive briefs and applied research on AI capital governance

Agent Chaos is an ongoing research initiative exploring the economic governance of AI agents. New research will be published continuously as the field develops.

Foundational Publication

Agent Chaos

Introduces the governance problem of AI agent proliferation and the economic discipline required to manage operational AI at scale.

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Research Series

Upcoming research expanding the Agent Chaos framework:

Shadow AI

Coming Soon

How invisible AI agents accumulate untracked operational cost and governance risk.

AI Agents Are Not Tools

Coming Soon

Why treating agents as software misses the capital allocation problem.

From Agents to Portfolios

Coming Soon

Managing AI agents as an economic portfolio rather than isolated deployments.

The AI Governance Gap

Coming Soon

The structural disconnect between AI capability and organizational accountability.

The AI Efficiency Trap

Coming Soon

When automation optimization creates long-term economic constraint.

Related

Read the Foundational Statement →