JMIR Publications

ABSTRACT

ABSTRACT Compared to a few decades ago, our environment has undergone a profound transformation. In technologically advanced societies, individuals are increasingly embedded within complex, information-rich digital networks which demand unremitting cognitive interaction. These networks, increasingly encompassing digital Artificial Intelligence (AI) systems, can be viewed as complex adaptive systems in which individuals act as agents contributing to overall system functionality and adaptability. Within this context, we propose an integrated framework that combines two complementary concepts: the Indispensable Soma Hypothesis and the Law of Requisite Usefulness. The former suggests that positive (hormetic) cognitive engagement may contribute to neuronal maintenance through activation of existing neurobiological adaptive pathways. The latter introduces a systems-level principle, whereby agents which contribute to the overall adaptability and stability of any complex system tend to become more integrated and functionally significant within that system. The aim of this paper is to explore how these concepts may be linked and how these can be applied in a practical way in order to reduce the impact of human aging. Specifically, we examine the hypothesis that individuals who are meaningfully engaged, both cognitively and socially, within our complex, AI-mediated environments may experience indirect biological benefits through mechanisms associated with environmental enrichment, hormesis, soma-to-germline communication, and brain–body signalling. Our hypothesis complements existing models. Cognitive engagement modulates systemic repair pathways and enhances maintenance through hormetic and neurobiological pathways, which may indirectly influence aging and resource allocation, specifically in an increasingly digitalised society.