

















Abstract: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.
| Subjects: | Artificial Intelligence (cs.AI); Computers and Society (cs.CY); General Economics (econ.GN) |
| Cite as: | arXiv:2605.27320 [cs.AI] |
| (or arXiv:2605.27320v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2605.27320 arXiv-issued DOI via DataCite (pending registration) |
From: Muhammad Zia Hydari [view email]
[v1]
Tue, 26 May 2026 17:28:30 UTC (94 KB)
此内容由惯性聚合(RSS阅读器)自动聚合整理,仅供阅读参考。 原文来自 — 版权归原作者所有。