The Automaton Economy: A Strategic Framework for Navigating AI Agent-Driven Transformation

Abstract

Artificial intelligence agents are transitioning from passive tools to autonomous economic decisionmakers, yet current strategic and policy frameworks remain inadequate for this shift. This paper introduces the Automaton Economy-a potential economic paradigm characterized by large-scale delegation of economic decision-making to autonomous AI agents-as an organizing framework for executives and policymakers navigating this transformation. The framework identifies three foundational principles: cognitive decoupling (the separation of consumption optimization from human cognitive labor), data centrality (the elevation of personalized data from marketing asset to production infrastructure), and institutional intermediation (the emergence of AI agents as entities requiring distinct governance frameworks). Drawing on market evidence showing AI agent adoption accelerating across enterprise and consumer contexts, this briefing provides strategic implications for organizational adaptation and policy development. The window for proactive governance is narrowing as path dependencies form. Organizations and policymakers who understand these dynamics now will shape the institutional architecture of agent-mediated commerce; those who wait will inherit frameworks designed by others. A more comprehensive academic treatment, including full theoretical foundations and literature review, is under peer review. (Working Paper)

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Keywords: AI Agents, Economic Strategy, Digital Transformation, Technology Policy, Autonomous Systems, Strategic Management, Agentic Commerce, The AI Praxis

JEL Classification: O33, O38, L86, M31