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This work explores the potential of generative artificial intelligence as a strategic and reflective Green AI, understood not as an energy-efficient technology, but as a high-analog processing environment capable of analyzing, critically evaluating, and reformulating sustainability strategies. Through a proof-of-concept on the case of Taranto, a city that symbolizes the contradictions between industrial development and environmental degradation, the ability of large-scale linguistic models (LLMs) to generate-when ...