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

This article develops the concept of the agentic economy and empirically diagnoses its measurable preconditions: an emerging 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 essential, but are no longer sufficient when technologies do not merely raise productivity but also prepare decisions, coordinate workflows, support or execute tasks, verify transactions, and reshape responsibility. Methodologically, the study applies a conceptual-empirical quantitative diagnostic design rather than a causal econometric model. It uses public institutional data on AI investment, AI adoption, industrial robot installations and operational stock, data-centre electricity demand, and labour-market reallocation. The reported values are transformed through transparent calculations, including percentage-point change, relative growth, compound annual growth rate, growth multiplier, stock-flow ratio, concentration ratio, and Herfindahl-Hirschman Index. The results indicate that the measurable preconditions of the agentic economy are already visible: AI adoption is accelerating in official and organisational indicators; AI investment is a broad capital-allocation signal rather than a direct measure of new productive capital allocation; industrial robots are treated not as full autonomous agents but as persistent cyber-physical action capacity; AI-related compute expansion contributes to wider data-centre electricity pressure; and available labour-market projections are more consistent with task reallocation than with simple labour disappearance. The article contributes a new action-capacity framework that links model/software-agent capacity, robotic capacity, compute-energy coupling, protocolisation, auditable trust, and human sovereignty. The findings support a disciplined claim: the agentic economy is not yet a completed global institutional order, and the present article does not directly measure full agentic delegation; rather, its transition pressure is sufficiently measurable to require a distinct economic vocabulary, a reproducible diagnostic methodology, and future sector-level measurement of coordination friction, auditability, protocol failure, and human override capacity.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-17
DOI
https://doi.org/10.5281/zenodo.20258934
Primary Topic
Economic and Technological Innovation
Type
preprint
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preprint

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

Mikheil Batiashvili, Davit Gondauri
Zenodo (CERN European Organization for Nuclear Research)
Economic and Technological Innovation
preprint

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

Mikheil Batiashvili, Davit Gondauri
preprint en

Abstract

This article develops the concept of the agentic economy and empirically diagnoses its measurable preconditions: an emerging 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 essential, but are no longer sufficient when technologies do not merely raise productivity but also prepare decisions, coordinate workflows, support or execute tasks, verify transactions, and reshape responsibility. Methodologically, the study applies a conceptual-empirical quantitative diagnostic design rather than a causal econometric model. It uses public institutional data on AI investment, AI adoption, industrial robot installations and operational stock, data-centre electricity demand, and labour-market reallocation. The reported values are transformed through transparent calculations, including percentage-point change, relative growth, compound annual growth rate, growth multiplier, stock-flow ratio, concentration ratio, and Herfindahl-Hirschman Index. The results indicate that the measurable preconditions of the agentic economy are already visible: AI adoption is accelerating in official and organisational indicators; AI investment is a broad capital-allocation signal rather than a direct measure of new productive capital allocation; industrial robots are treated not as full autonomous agents but as persistent cyber-physical action capacity; AI-related compute expansion contributes to wider data-centre electricity pressure; and available labour-market projections are more consistent with task reallocation than with simple labour disappearance. The article contributes a new action-capacity framework that links model/software-agent capacity, robotic capacity, compute-energy coupling, protocolisation, auditable trust, and human sovereignty. The findings support a disciplined claim: the agentic economy is not yet a completed global institutional order, and the present article does not directly measure full agentic delegation; rather, its transition pressure is sufficiently measurable to require a distinct economic vocabulary, a reproducible diagnostic methodology, and future sector-level measurement of coordination friction, auditability, protocol failure, and human override capacity.

Zenodo (CERN European Organization for Nuclear Research)
Business and Technology University
Decent work and economic growth
Economic and Technological Innovation
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