Sustained Structural Drift and Attention Collapse: A Socio-Psychological Application of the Law of Alignment to Human Burnout Dynamics

Contemporary burnout is commonly approached as an individual psychological condition arising from excessive workload, insufficient resources, or inadequate recovery. This paper proposes a broader systems-level interpretation: burnout may also emerge when demands accumulate faster than a human or organizational system can sustainably integrate, recover from, and release them. Building on the Law of Alignment with Existence (LAE), the study develops the concept of structural drift—a condition in which outward performance remains relatively intact while the underlying capacity required to sustain that performance progressively deteriorates. Within this framework, burnout is examined not simply as a failure of individual resilience, but as a possible signal of prolonged misalignment between accumulated demands and sustainable capacity. The paper extends this framework beyond occupational burnout to examine attention fragmentation, continuous digital availability, social-media validation, performative identity, technological acceleration, automation, and artificial intelligence. It argues that contemporary systems can transform increases in technological capability into increases in expected human performance, potentially creating a paradox in which technologies designed to reduce effort instead intensify demands. The paper introduces related concepts including attention collapse, validation pressure, structural subtraction, and technological expectation inflation, and integrates them into a broader model of accumulation, capacity, recovery, and release. The study is theoretical rather than clinical or empirical. It does not claim that burnout has a single cause, that technology is inherently harmful, or that the Law of Alignment has been established as a universal scientific law. Instead, it positions LAE as a hypothesis-generating framework and develops a set of testable propositions concerning persistent demand accumulation, recovery, attentional fragmentation, continuous availability, sustainable capacity, and the organizational use of artificial intelligence. The paper concludes by outlining a research program through which these concepts can be operationalized and empirically evaluated. Its central proposition is that the long-term sustainability of human systems may depend less on their ability to increase performance than on their ability to recognize, remove, and release demands that no longer need to exist.