Digital Ecosystems and Sociocybernetic Dynamics in the AI-Driven Metaverse

The expansion of artificial intelligence (AI) systems and the emergence of the metaverse are reshaping our understanding of social structures, economic processes, and human interaction. This paper explores the complex interplay between AI, data capitalism, and the metaverse through the lens of sociocybernetics. We examine how these digital ecosystems transcend traditional territorial boundaries, creating new paradigms of power, control, and social organization.

Drawing upon sociocybernetics principles, we analyze the feedback loops and self-organizing processes that characterize the AI-driven metaverse. This approach allows us to uncover the dynamic relationships between human behavior, AI systems, and virtual environments, revealing how they collectively shape social norms, economic structures, and governance models beyond conventional geographic constraints.

In addition, this paper delves into the commodification of data within these digital ecosystems, investigating how AI-powered data capitalism perpetuates existing inequalities while simultaneously generating novel forms of digital stratification. We explore the ethical implications of these developments, focusing on issues such as digital surveillance, data privacy, and the potential for algorithmic bias in shaping social interactions and economic opportunities.

By applying sociocybernetics analysis, we provide a comprehensive framework for understanding the complex, interconnected nature of AI, the metaverse, and data capitalism. It concludes with a review of the challenges and opportunities posed by these technological advances, anticipating more nuanced debates on digital governance, digital justice and the future of coexistence between humans and artificial intelligence in virtual realms.