Identity–Intent–Execution Convergence in Adaptive and Decentralized Computing Systems

Traditional computing systems treat identity, intent, and execution as separable concerns mediated through layered platforms, applications, and interaction brokers. Identity is verified through accounts, intent is expressed through explicit commands or queries, and execution is delegated to centralized infrastructures. These separations reflect historical constraints rather than fundamental system requirements. In Adaptive Computing (AC) environments characterized by continuous context awareness, environment-coupled computation, and distributed execution, this separation becomes inefficient and architecturally brittle. This paper introduces the concept of identity–intent–execution convergence as a foundational systems principle for adaptive and decentralized computing environments. We argue that when identity, intent, and execution co-reside within environment-aware nodes, centralized interaction brokers become computationally redundant. The paper formalizes this convergence, contrasts it with legacy interaction models, and analyzes its implications for identity systems, transaction coordination, execution locality, and governance. Identity–intent–execution convergence is presented not as an optimization, but as a necessary architectural consequence of adaptive system design.