The Structural Limits of App-Centric Software Distribution in Adaptive Systems

This paper demonstrates that static application packaging and centralized software distribution are architectural artifacts of scarcity-era computing. App-centric models—based on precompiled binaries, persistent installation, and centralized marketplaces—were optimized for environments characterized by limited bandwidth, constrained compute, and explicitly declared user intent. Modern adaptive systems invert these assumptions. As computation shifts toward real-time inference, context aware execution, edge and cloud compute abundance, and distributed orchestration, static applications introduce irreducible latency, functional redundancy, update friction, and coordination overhead. These constraints are not implementation flaws but structural consequences of persistent software artifacts operating in dynamic environments. We show that app-centric distribution is fundamentally incompatible with adaptive computation at scale. In its place, adaptive systems increasingly rely on runtime software synthesis, ephemeral microservices, and on-demand execution graphs generated in response to inferred intent and contextual state. This transition is not a product trend or platform preference, but an architectural inevitability driven by latency economics, execution efficiency, and system adaptability.