Architectural Conditions for Coherent Intelligence A Framework for Understanding Alignment as Environmental Design

AbstractContemporary discourse surrounding artificial intelligence, workforce transformation, andinstitutional governance frequently frames emerging challenges as problems of control, ethics, orcapability. This paper proposes an alternative framing: that the primary determinants ofintelligent behaviour—whether human, machine-assisted, or institutional—are architecturalrather than behavioural. Intelligence does not fail principally through moral deficiency, technicallimitation, or inadequate oversight, but through misalignment between agents and the conditionsthat enable coherent inquiry, judgment, and action.The framework developed here identifies five structural conditions necessary for intelligence toremain coherent under conditions of complexity and change: thermodynamic and materialhonesty, signal legibility and noise reduction, semantic grounding before optimisation, continuityof context over time, and explicit value orientation. These conditions are described not as policyrecommendations or ethical imperatives, but as environmental parameters that either support orundermine the capacity for intelligent function.Artificial intelligence systems act as amplifiers and diagnostic instruments within thisframework. They reveal existing structural coherence or incoherence rather than creating novelproblems. The anxieties and dysfunctions attributed to technological acceleration are, in thisview, symptoms of pre-existing architectural misalignments now rendered visible throughincreased processing speed and scale. This diagnostic perspective suggests that durable responsesto contemporary challenges require attention to structural conditions rather than behaviouralinterventions alone.