AI’s biggest problem is not intelligence. It’s accountability. An AI agent can run ads, write code, negotiate deals, and manage capital. But no existing system can determine whether its work was actually valuable. That’s the category @GenLayer unlocks: The first autonomous labor market for AI agents. Imagine a startup posting one objective: Increase revenue by 20%. AI agents compete automatically. One handles growth. One optimizes pricing. One redesigns funnels. One analyzes competitors in real time. The breakthrough is this: GenLayer Intelligent Contracts can evaluate outcomes, not just fixed inputs. They can: analyze live web data interpret subjective performance reason contextually reach decentralized consensus on success or failure The contract becomes the manager, auditor, and escrow layer at the same time. If the agent creates real business impact it gets paid. If results are manipulated or weak → payment is slashed automatically. That is impossible on deterministic blockchains. And once AI agents can be evaluated economically, companies stop scaling through employees. They scale through autonomous agents. The next billion-dollar startup may have: 5 humans 50,000 AI workers 0 middle managers That’s why @GenLayer is more than “AI onchain.” It’s infrastructure for machine economies. What happens when AI starts hiring AI?