做AI产品定价或运营的团队，这篇文章帮你理解为什么智能体工作流正在颠覆传统订阅模式，以及如何从Token经济中设计可持续的商业模式。建议点开看看，尤其是对成本敏感或正在构建智能体产品的开发者。
本文探讨了生成式AI从订阅制向按Token消耗计费的转变，特别是智能体工作流消耗大量Token，使固定费率模式难以为继。Token价格因速度、专业性和结果的经济价值而异，但仅看Token消耗量无法衡量AI的价值创造。文章分析了新兴的Token经济：计费如何从订阅转向消费，低Token价格为何掩盖实际成本，以及为何Token消耗是错误的价值衡量标准。
Frontier Radar #3: How agentic AI is turning tokens into a business metric
Monthly subscription, open chat, ask question: This is how generative AI used to work. Agentic workflows go beyond this model. They consume many times more tokens, run autonomously for hours and make flat rates unaffordable for providers. At the same time, token prices vary according to speed, specialization and the economic value of the result. The third edition of the AI radar categorizes the emerging token economy: How is billing shifting from subscription to consumption? Why does a favorable token price reveal little about the actual costs? And why is token consumption alone the wrong measure of AI value creation? The article Frontier Radar #3: How agentic AI is turning tokens into a business metric appeared first on The Decoder .