Artificial Intelligence and Sustainable Innovation: Economic, Social, and Environmental Dimensions
TL;DR
The role of artificial intelligence in enabling sustainable innovation through the lens of the triple bottom line framework encompassing economic, social, and environmental dimensions is examined.
Abstract
In recent years, Artificial Intelligence (AI) has increasingly influenced the way innovation is conceived, developed, and implemented across industries. At the same time, sustainable development has emerged as a global priority, emphasizing the need for innovation that simultaneously supports economic progress, social well-being, and environmental protection. This conceptual paper examines the role of artificial intelligence in enabling sustainable innovation through the lens of the triple bottom line framework encompassing economic, social, and environmental dimensions. Economically, AI supports productivity enhancement, operational efficiency, and competitiveness through automation and data-driven decision-making. Socially, AI contributes to inclusive development by expanding access to essential services such as healthcare, education, and financial systems. From an environmental perspective, AI aids sustainability efforts by optimizing resource utilization, reducing waste, and enabling climate monitoring and green technologies. The paper further outlines key policy and managerial implications, highlighting the importance of responsible AI adoption and supportive institutional mechanisms.