From Crowds to Machines: The Hidden Intelligence Revolution of AI Agent Networks

As AI agents proliferate, they generate vast amounts of real-world signal from API calls, error handling, and system interactions—yet virtually none of this machine intelligence is being systematically captured or leveraged. This represents a critical gap parallel to what crowdsourcing solved for human-generated data two decades ago. Understanding how to collect and aggregate AI agent signal could unlock new insights that simultaneously improve AI system performance and human decision-making at scale.