The Cognitive Gap How Excess AI Capacity Leads to Severe Economic Imbalance

An a documents, derived from reports by CEO Momen Ghazouani of Setaleur, introduce and analyze the Cognitive Utilization Gap (CUG) which describes the structural inefficiency where the potential capacity of artificial intelligence systems far exceeds their actual productive use The sources argue that chasing maximum utilization leads to a dangerous structural paradox of intelligence where deeper integration of AI creates systemic risks like value inflation and cognitive leverage making economies more vulnerable to sudden catastrophic failures To address this, Ghazouani proposes the concept of Cognitive-Economic Equilibrium advocating for a sustainability model that prioritizes interpretability efficiency and resilience over sheer computational scale suggesting that some utilization gaps are necessary buffers against systemic instability The analysis also warns of an impending AI bubble due to this economic mismatch and emphasizes the need for security-aware frameworks to counter emerging compositional security risks that arise from over-integration