Assistance-Induced Concentration of Knowledge and Access: How Help Can Leave Someone Unable to Manage Without the Helper

This conceptual paper introduces Assistance-Induced Concentration of Knowledge and Access, a mechanism in which repeated help concentrates knowledge, practice, or access in the helper, so that substitution becomes harder as the recipient loses other routes or practice. The account assesses present dependence by tracing where the knowledge, procedures, credentials, or access required for a task came to be held. Assistance does not necessarily create dependence. It can teach, distribute knowledge, and build independence. The mechanism requires evidence that knowledge or access became concentrated during the period of help, that alternative routes declined or failed to develop, and that present reliance traces to that history. The discussion connects the mechanism to Emerson’s account of power and dependence and examines the case of Terry Childs and San Francisco’s FiberWAN network. Administrative access began as shared and later became concentrated in Childs as passwords changed, backup configurations were moved, and other administrators lost access. The city remained unable to administer the network until Childs supplied the information required to regain access. Part of the Coordination and Dependence series within On Human Modeling, the paper examines how successful assistance can alter the distribution of knowledge and access and thereby change who becomes difficult to replace. Its framework can inform human–AI research on automation dependence, knowledge concentration, access control, skill retention, and whether assistance leaves users more capable or increasingly dependent on a single system or provider.