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@a16z (@a16z)
a16z 提出企业 AI 演进三阶段：从 Assistant、Agent 到按结果定价的长时程 Agent
a16z 的 David Haber 将企业 AI 分为三层：1）Assistant，数秒内完成单一任务（如发跟进邮件），由软件预算支付；2）Agent，数分钟内完成一次交互（如客户退款电话），承担原由人做的工作，由人力预算支付；3）Long-running agent，围绕目标持续数周至数月（如为客户争取最大和解金额），因对结果负责，可按交付成果定价。完整文章讨论长时程 Agent 在高价值客户旅程中的应用。
AI推荐理由 a16z 合伙人 David Haber 提出的企业 AI 三阶段框架（Assistant 按软件预算付费、Agent 按人力预算付费、Long-running agent 按结果定价），给出了从“拥有任务”到“拥有结果”的商业模式演进逻辑，并附有完整长文链接。属于观点性框架而非可验证数据，但对企业 AI 定价与落地路径有参考价值。
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正文
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: https://www.a16z.news/p/winning-the-relay-race-long-running