THE AGENT ECONOMY

AI agents are no longer chatbots. They are autonomous workers.

The shift happened fast. In 2024, agents like Devin, Claude Code, and OpenAI's operator moved from "answer questions" to "complete tasks." Customer service bots that used to follow scripts now resolve tickets end-to-end. Coding agents write, test, and deploy code without human intervention. Research agents crawl the web, synthesize findings, and deliver reports.

The economic implication is simple: labor is being decoupled from headcount. A 5-person startup can now operate with the output capacity of a 50-person company by deploying agents across sales, support, development, and ops.

This is not automation in the traditional sense. Traditional automation handles repetitive, well-defined tasks. Agents handle ambiguous, multi-step workflows that previously required judgment. That's a different category entirely.

The real question is not whether agents will replace jobs. They will. The question is what happens when agents start transacting with each other. When your purchasing agent negotiates with a supplier's sales agent, both operating autonomously, you have an economy of non-human actors. We have no framework for that yet.

Right now, the bottleneck is reliability. Agents fail on edge cases, hallucinate context, and lose coherence on long tasks. But the trajectory is clear. Each model generation closes the gap.

The companies that figure out agent orchestration first will have an asymmetric advantage. Everyone else will be hiring to keep up.