AI Capital, Energy, and Labor as Binding Constraints: A Non-Predictive Cognitive Framework

Abstract

Current AI infrastructure expansion is encountering three hard constraints: capital, energy, and supply chains. Based on open-source intelligence (OSINT) as of May 2026, this report proposes a non-predictive, structured cognitive framework. We define a three-constraint system (C-capital, E-energy, S-supply chain), a three-state machine (Expansion / Audit / Restructuring), and an operational signal board with decision filters. The core conclusion: the global AI system has entered the Audit State — ROI is beginning to be forcibly accounted for, and constraints are becoming explicit. The 73.4% decline in high-exposure entry-level job postings is defined as the “entry fracture rate,” not a macro-collapse indicator. This framework offers no investment advice or point forecasts of inflection points. Its sole purpose is to help decision-makers reduce the probability of making major errors under high uncertainty.

Keywords: AI Infrastructure, Capital Constraints, Energy Bottlenecks, Supply Chain, Audit State, Decision Filters, Systemic Risk

JEL Classification: L86, O33, J23, G32, D24, E22, D81