Agentic AI systems combine probabilistic reasoning with delegated action through tools, context, memory, orchestration, and external workflow integration. This note develops a formal and managerially usable model that distinguishes Agentic Technical Debt from Stochastic Tax. Agentic Technical Debt is a stock of accumulated design and governance liability. Stochastic Tax is a recurring flow of operating burden that arises when stochastic agents are used in business workflows. The two constructs are related, but they are not the same: debt can amplify the tax, while the tax can remain positive even when debt is minimized. The note starts from a compact dashboard expression, expands it into a fuller structural model, defines all variables and parameters, shows how each cost category can be estimated from operational data, and illustrates the framework with an accounts-payable simulation and companion spreadsheet.

翻译：主体性AI系统结合了概率推理与通过工具、上下文、记忆、编排及外部工作流集成实现的委托行动。本文提出一个兼具形式化与管理可用性的模型，清晰区分主体性技术债务与随机税。主体性技术债务是累积的设计与治理责任的存量，而随机税是在业务工作流中使用随机性主体时产生的持续性运营负担。这两个概念相互关联但本质不同：债务可能放大税额，即便债务最小化时税额仍可能保持正值。本文从简洁的仪表盘表达式出发，将其扩展为完整的结构化模型，定义所有变量与参数，阐明如何从运营数据中估算各成本类别，并通过应付账款仿真与配套电子表格演示该框架。