The rapid expansion of artificial intelligence (AI) technologies has sparked both enthusiasm for their potential to drive economic, social, and cultural transformation and concern regarding their environmental implications. While AI is often celebrated as a driver for productivity and efficiency, its environmental footprint, particularly in terms of resource extraction, energy consumption, and electronic waste, presents significant challenges. These challenges are compounded by geopolitical dynamics, with the Global North benefiting most from AI’s development while the Global South bears the brunt of environmental degradation. This work examines the intersection of AI technologies and ecological imperialism, highlighting how the global deployment of AI intensifies inequalities by shifting ecological burdens to vulnerable regions. By exploring the life cycle of AI, from the mining of critical minerals to the operation of data centres, this research underscores the urgent need for a political ecology of communication that addresses both the environmental and socio-economic impacts of AI. We call for a more comprehensive understanding of AI’s environmental footprint, one that considers not only its potential for climate mitigation but also its role in reinforcing existing global power structures. In this context, fostering transparency, ethical responsibility, and a decolonial approach to AI governance becomes imperative to ensure that technological advancements do not deepen ecological and social injustices.
Downey et al. (Sat,) studied this question.