Research Information System
5th EAI International Conference on Artificial Intelligence for Communications and Networks, AICON 2025, New Delhi, India, 25 - 27 April 2025, vol.672 LNICST, pp.138-149, (Full Text)
The rapid development of Artificial Intelligence (AI) technologies has revolutionized numerous sectors globally, but its growing computational demands raise concerns about its sustainability, particularly in relation to energy consumption and environmental impact. This paper aims to investigate the relationship between global energy consumption, the share of renewable energy sources, CO2 emissions, and AI revenues. By employing regression analysis, we explore the extent to which AI revenues are correlated with shifts in energy consumption patterns and the associated environmental effects. Our findings provide a quantitative assessment of AI’s impact on energy demand and CO2 emissions, highlighting both the opportunities and challenges of AI's continued growth. The results offer critical insights into the role of renewable energy in mitigating the environmental footprint of AI technologies, thereby contributing to the discourse on achieving sustainability in the age of AI-driven innovation.