Algorithmic Agency and the Posthuman Economy: Artificial Intelligence and the Transformation of Economic Decision-Making

Abstract

Artificial intelligence is fundamentally reshaping contemporary economic systems as algorithmic infrastructures increasingly participate in interpreting information, generating predictions, and influencing organizational decision-making. While much of the business and management literature approaches artificial intelligence primarily as a technological capability that enhances efficiency and productivity, emerging posthumanist scholarship suggests a deeper transformation in which economic agency itself becomes distributed across human and algorithmic actors. This article develops the concept of algorithmic agency to explain how artificial intelligence participates in economic decision-making within modern business systems. Drawing on posthumanist theory, socio-technical research, and digital economy scholarship, the study argues that contemporary organizations operate within hybrid intelligence environments where human expertise and algorithmic systems collaboratively produce economic knowledge, prediction, and action. By conceptualizing the emergence of a posthuman economy, this study contributes to interdisciplinary debates on artificial intelligence, digital capitalism, and the transformation of economic organization.