The Industry 4.0 & 5.0 transformation is reshaping industries, introducing AI business process automation, intelligent decision-making, and decentralized autonomous systems. Industry 4.0 enables machine-to-machine communication, real-time business process optimization, and predictive analytics, while Industry 5.0 advances human-AI collaboration, personalized automation, and augmented decision-making. Together, they lay the foundation for the AI economic autonomy theory, where intelligent systems enhance productivity, reduce inefficiencies, and accelerate business execution without time constraints or operational delays.
The AI economic autonomy theory extends beyond industrial transformation, integrating into business process automation (BPA), financial systems, and corporate governance. Intelligent autonomous digital agents (IADAs) now manage real-time operations, financial processes, and strategic business decisions with greater accuracy and efficiency. These AI systems learn, adapt, and execute tasks in a way that minimizes errors and optimizes scalability. As AI integrates into decentralized economies, it is redefining traditional business functions, automating workflows, and ensuring continuous system optimization with less risk and higher precision.
This research explores how Industry 4.0 & 5.0 drive AI economic autonomy to migrate from AI as an operational tool to AI as an autonomous economic engine.
By systematically analyzing industrial automation, decentralized AI decision systems, and self-executing infrastructures, this research aims to build a framework for an intelligent, scalable, and autonomous digital economy.
Industry 4.0, Industry 5.0, AI Economic Autonomy, AI Business Process Automation BPA, Applied AI, Intelligent Decision Systems, Decentralized Autonomous Systems, Digital Economy, Intelligent Autonomous Digital Agents, Intelligent Autonomous Digital Workforce
DeGNZ Labs
AI BPA Consulting & DeepTech Venture Builder
(Morocco)
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