Environmental Impact of Artificial Intelligence

Conference
Global MUN Guatemala
Edition
I
Format
In-Person
Committee Overview
While the immediate environmental footprint of artificial intelligence — such as emissions from data centers and electronic waste — currently pales in comparison to traditional sectors like transportation, the technology presents a massive, anticipatory threat to global sustainability. The exponential demand for computing power and the associated consumption of electricity, water, and critical minerals could undermine climate goals if left unchecked.
However, the narrative surrounding AI is complex: the technology also holds immense potential to combat environmental crises through advanced climate modeling, optimized energy grids, and precise conservation tracking. The core challenge for the international community is separating fact from fiction to promote an objective view of AI's ecological impact. Building on recent framework proposals — including the UNEA-7 resolution on the environmental sustainability of AI systems proposed by Kenya — delegates must establish forward-looking guardrails. The committee is tasked with designing global policies that integrate circularity and sufficiency into tech infrastructure, ensuring equitable access to AI for developing nations, and guaranteeing the technology serves as a tool for environmental resilience rather than a severe ecological threat.
Ready to represent your nation?