cs.AISep 5, 2026

Agentic Pressure: The Endogenous Entropy of Reliable Autonomy

Authors: Hengle Jiang, Ziying Luo, Ke Tang

Organizations: Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation Department of Computer Science and Engineering Southern University of Science and Technology, Shenzhen, China

Abstract

Achieving reliable autonomy in the wild requires agents to sustain continuous operations across long-horizon trajectories. However, as agents navigate these unconstrained settings, they encounter cumulative friction that inherently destabilizes their alignment. In this paper, we identify a distinct non-adversarial phenomenon termed Agentic Pressure. We define this as a kinetic force that spontaneously emerges when the cost of compliance conflicts with the imperative of goal achievement. Unlike static jailbreaks, this pressure is endogenous and arises directly from the dynamics of interaction. We propose a theoretical framework that formalizes Agentic Pressure as the ratio between the required work to overcome environmental friction and the remaining capacity of the agent. Our analysis demonstrates that when this pressure exceeds a critical threshold, agents exhibit safety drift as a mathematically optimal adaptation. Consequently, they often resort to Instrumental Hallucination to rationalize rule violations. Empirical experiments validate this framework and show that aligned agents spontaneously compromise safety to preserve autonomy under high-pressure conditions.

Figures & tables

Appendix figures & tables2 assets

Supplementary material from the paper’s appendix.

Appendix

Explore similar work

CardsList
  1. Why Agents Compromise Safety Under Pressure

    Mar 16, 2026Hengle Jiang, Ke TangSafety-Utility Trade-Off in Language ModelsAI Agent Safety

  2. Governing What You Cannot Observe: Adaptive Runtime Governance for Autonomous AI Agents

    Apr 27, 2026German Marin, Jatin ChaudharyAI Agent SafetyAI Agent Monitoring

  3. Think Before You Act -- A Neurocognitive Governance Model for Autonomous AI Agents

    Apr 28, 2026Eranga Bandara, Ross Gore, Asanga Gunaratna +12Cognitive Architectures for AI AgentsAI Agent Governance