In this article for The Conversation, authors Ehsan Noroozinejad and Seyedali Mirjalili discuss the environmental impact of artificial intelligence (AI) systems. The authors say that AI can help address some global environmental issues but can also lead to serious problems. For example, AI uses huge amounts of energy, particularly during model training and operation, and this energy use is projected to double by 2026.

Research has also shown that AI requires significant water. For example, AI requires water to cool data centers. Mining and manufacturing to produce AI hardware also use and pollute water. According to the authors, AI’s broader environmental impacts necessitate urgent development of greener systems and regulations to balance its benefits with ecological costs.

Editor’s Note: If people want to deal with the climate crisis, they must stop the rollout of energy guzzlers such as modern AI systems. There is no point in calling for “drastic” climate solutions if AI systems are allowed to continue operating the way they have been doing in the past decade.

Are climate alarmists ignoring the environmental impact of AI? Dive deeper into this issue, read From Alarmist to Skeptic: How Climate Change Narratives Are Shaping Global Policy, Challenging the Climate Consensus: Debunking CO2’s Impact on Global Warming, A Call for Balanced Scientific Debate on the Climate Change Narratives by Randall Carlson, More Climate Scientists Chime In: Higher CO2 Levels Not A Problem, Climate Experts Say Climate Change Is Based on Faulty Temperature Data, Climate Change Equity: A Path Towards Global Social Credit System?].

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