The Agentic Economy: Humans, AI Agents, Robots, and the Measurable Transition toward Distributed Economic Action

Abstract

This article develops the concept of the agentic economy and diagnoses its measurable preconditions: a transition in which economic action is increasingly distributed among humans, AI agents, industrial robots, executable protocols, compute infrastructures, and energy systems. The paper argues that classical categories such as labour, capital, firm, market, productivity, and trust remain necessary but incomplete when technologies prepare decisions, coordinate workflows, support tasks, verify transactions, and reshape responsibility. Methodologically, the study uses a conceptual-empirical quantitative diagnostic design rather than a causal econometric model. It relies on public institutional data on AI investment, AI adoption, robot installations and operational stock, data-centre electricity demand, and labour-market reallocation. The reported values are transformed through transparent indicators such as relative growth, CAGR, growth multipliers, stock-flow ratios, concentration ratios, and HHI. The results show that AI adoption is accelerating, AI investment signals broad capital allocation, industrial robots represent persistent cyber-physical action capacity, compute expansion increases data-centre electricity pressure, and labour projections are more consistent with task reallocation than labour disappearance. The article contributes an action-capacity framework linking model/software-agent capacity, robotic capacity, compute-energy coupling, protocolisation, auditable trust, and human sovereignty. It concludes that the agentic economy is not yet a completed global order, but its transition pressure is measurable enough to require a distinct economic vocabulary, reproducible diagnostics, and future sector-level measurement.