Uncovering the Environmental Impact of AI: Carbon and Water Footprints Explained

🌍 AI’s Hidden Environmental Footprint: A Wake-Up Call

Recent research by Alex de Vries-Gao highlights a startling prediction: by 2025, AI systems could rival the carbon footprint of a major global city like New York, while consuming vast amounts of water comparable to annual bottled water sales.

Key Findings:

• Carbon Emissions: AI systems may generate 32.6 to 79.7 million tonnes of CO₂ annually, paralleling NYC’s 2023 emissions of 52.2 million tonnes.
• Water Consumption: Projected usage of 312.5 to 764.6 billion liters of water, far exceeding prior estimates.
• Lack of Transparency: Major tech firms currently disclose minimal data on energy, carbon, and water usage in AI applications.

De Vries-Gao calls for greater accountability in reporting these impacts to guide sustainable practices.

🔍 Let’s drive the conversation! Share your thoughts on how we can push for transparency in AI’s environmental costs. #AI #Sustainability #TechForGood

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