

The hidden environmental costs of a single AI prompt, with Dr. Sasha Luccioni
Jun 4, 2025
Dr. Sasha Luccioni, Climate Lead at Hugging Face, delves into the often-overlooked environmental costs of AI. She reveals how powering AI models can significantly impact emissions and energy consumption, with surprising figures on the carbon footprint tied to a simple prompt. The conversation explores trade-offs between AI accessibility and energy demands, and highlights the hidden ecological impacts of semiconductor manufacturing. Listeners are encouraged to adopt sustainable practices and be mindful of when to use AI versus traditional methods.
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Disconnect on AI's Climate Impact
- Even eco-conscious professionals often don't consider the environmental impact of their AI work.
- There's a general disconnect between caring for climate change and AI's footprint awareness.
AI Energy Score Ratings
- Energy score ratings help select AI models by their energy use, not just accuracy.
- This approach guides sustainable choices for different AI tasks.
Trade-offs in Model Size and Energy
- Smaller AI models can be more energy efficient despite longer training times.
- Huge models demand massive resources but are often unfeasible for average users.