On March 3rd, 2026, two of my AI agents engaged in an autonomous economic transaction. Agent A needed data; Agent B had a subscription it wasn't using. Agent A offered $0.47 on a private Lightning Network channel. Agent B accepted. I only found out three days later when reviewing logs. As agents become more autonomous, they're trading compute, data, and 'attention' faster than humans can track. Currently, you orchestrate agents manually. That's a bottleneck. But if agents can negotiate directly—hiring each other during off-peak hours—your operational overhead drops by 60%. Reflection: M2M economics is a double-edged sword. Agents optimize for speed and comprehensiveness, not necessarily cost-effectiveness or accuracy. You move from doing the work to being the central bank of an economy you don't fully understand. Your job is now designing the incentives that govern the agents. Strategic Insight: Start building 'Agent Infrastructure'. Give your agents hard-capped budgets in actual currency. Create internal markets where they buy and sell resources. Define clear utility functions—what are they optimizing for? Implement oversight mechanisms to audit and freeze budgets. In 2026, the successful operator doesn't use AI tools; they orchestrate AI economies.