Publisher's Synopsis
The rapid advancement of artificial intelligence technologies within the framework of market capitalism presents one of the most significant challenges to economic and social stability in the modern era. As AI systems become increasingly sophisticated and pervasive, their development and deployment are primarily driven by market forces that may not align with broader societal interests. This convergence creates a unique set of risks that differ fundamentally from previous technological revolutions in both scale and nature.
The current landscape of AI development is characterized by intense competition among a small number of powerful corporations, rapid deployment of potentially transformative technologies, and limited regulatory oversight. This environment has emerged within a market system that prioritizes short-term profit maximization and shareholder value over longer-term societal impacts and risks. The resulting dynamics create systematic pressures that could undermine economic stability, democratic governance, and social cohesion.
This manuscript examines these challenges through multiple lenses: historical comparison, economic analysis, case studies of current impacts, and examination of market failure mechanisms. We argue that the unique characteristics of AI technology-its capacity for autonomous decision-making, its dependence on vast data resources, and its potential for rapid, widespread deployment-create unprecedented challenges when combined with market capitalism's inherent tendencies toward concentration and short-term optimization.