AI’s rapid expansion carries a growing environmental footprint, from data centre infrastructure and hardware supply chains to model training, inference, and everyday user behaviour. Yet much of AI’s carbon impact remains opaque, distributed, and poorly measured. As adoption accelerates, organisations must ask a harder question: what is the true sustainability cost of AI, and who owns it?
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