a16z：企业 AI 正从完成任务演进到为结果定价
a16z 把企业 AI 分成 Assistant、Agent、长时程 Agent 三层，讲清各层从软件还是人力预算收钱，做 To B 的可以拿来自查定价方式。
a16z 合伙人 David Haber 把企业 AI 的演进分为三层：第一层 Assistant 在几秒内完成单个任务，如发送跟进邮件，费用从软件预算支出。第二层 Agent 在几分钟内完成一次交互，如处理客户退款来电，替代的是人力工作，因此从人力预算付费。第三层 long-running agent 以数周或数月为周期朝目标推进，如为受伤客户争取最高赔偿金。由于这一层对结果负责，出售方可以按交付的结果定价，而非按软件席位收费。
How AI for the enterprise is evolving, from owning a task to owning an outcome: 1. Assistant: handles one task in seconds, like sending a follow-up email. Companies pay for it out of their software budget. 2. Agent: handles one interaction in minutes, like a customer's refund call. It takes on work people used to do, so it gets paid for out of the labor budget. 3. Long-running agent: works toward a goal for weeks or months, like getting an injured client the biggest settlement possible. Because it owns the result, the company selling it can price on the outcome it delivers. Full piece from a16z's @dhaber on long-running agents in high-value customer journeys: a16z.news/p/winning-the-… David Haber @dhaber x.com/i/article/2110… 🔗 View Quoted Tweet 💬 6 🔄 3 ❤️ 17 👀 4444 📊 6 ⚡
