{
  "id": 3657,
  "url": "https://arxiv.org/abs/2605.27320v1",
  "title": "Modeling Agentic Technical Debt and Stochastic Tax: A Standalone Framework for Measurement, Simulation, and Dashboarding",
  "summary": "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 a",
  "authors": "Muhammad Zia Hydari, Raja Iqbal, Narayan Ramasubbu",
  "category": "research",
  "topics": "regulation,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-26T17:28:30.000Z",
  "fetched_at": "2026-07-14T16:30:23.248Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/3657",
  "original_url": "https://arxiv.org/abs/2605.27320v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}