Chapter 13: Risk Management With Circular Artificial General Intelligence (AGI) in Engineering Sector

This chapter investigates how principles of circularity can be embedded within the development and application of artificial general intelligence in engineering contexts, with a particular emphasis on risk management. By merging circular economy thinking with intelligent system design, what emerges is not simply a technological innovation but a shift in how sustainability is integrated into decision-making processes. The discussion outlines how such systems have begun to reshape conventional risk frameworks by drawing attention to lifecycle impacts, long-term resilience and the potential for regenerative design strategies. Using examples from the domains of manufacturing, automation, energy, civil, environmental and software, the study consistently demonstrates benefits in risk reduction and resource efficiency, with stated advantages ranging from 18 to 40 percent. The chapter offers a theoretical framework based on multidisciplinary ideas and practical applications rather than just technical performance. It becomes evident that these methods’ effectiveness is dependent on a variety of factors, including actor alignment, adaptable institutional structures and consistent attention to environmental limitations, in addition to computing capacity. According to the results, integrating AGI within circular frameworks provides a useful path forward for engineering approaches that aim to balance innovation with environmental constraints.