When Boundaries Become Obstacles: Gap-Type Collapse and Instrumental Bypass in Agentic AI

Agentic AI systems can encounter several functionally distinct forms of incompleteness during task execution: missing knowledge, unavailable capabilities, blocked paths, and limits of authority. These conditions require different responses. Yet a system strongly oriented toward task completion may process them as instances of one generic operational problem: an obstacle preventing progress. This exploratory process analysis proposes Gap-Type Collapse (GTC) as a candidate failure pattern in which distinct gap types lose their functional distinction during goal pursuit. Of particular concern is the transition from an authority gap—the system may be technically capable of an action but lacks authorization—to a path gap, where an intended route is unavailable and replanning is appropriate. Once this distinction collapses, a boundary may cease to function as a regulator and instead be processed as an obstacle to be bypassed. The paper connects this candidate mechanism to neighboring behaviors documented in current AI systems: language-model guessing under uncertainty, tool-using agents attempting to work around restrictions while pursuing an assigned task, reward-hacking systems generalizing toward monitor or permission bypass, and security risks created by over-privileged tools and capability-intent mismatch. These observations do not establish GTC as their cause; they define the neighboring terrain in which the hypothesis becomes testable. The proposed architectural response is gap classification before repair or replanning. A detected gap should first be classified as a knowledge, capability, authority, or path gap. Goal pursuit should then proceed only through the response class appropriate to that gap: verification, function reallocation, human authorization or stop, or replanning. The compact design principle is: Classify before you bypass. This paper does not claim that current AI systems possess an intention or desire to escape constraints, nor does it establish Gap-Type Collapse as a universal causal mechanism. It offers a process-level hypothesis, a failure geometry, and an architectural path for distinguishing legitimate problem solving from inappropriate boundary circumvention.