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Did you know training a single AI model could emit as much carbon as 108 cars in a year? and that's not even the worst part.
Every query, every generated response, every fraction of a second AI models operate—they continue drawing power.
A study from the University of Massachusetts Amherst found that training a single large-scale AI model can emit 284,000 kg of CO₂—equivalent to nearly 125 round-trip flights from New York to Beijing.
Once deployed, these models require even more energy for inference, as millions of users interact with them daily.
Big Tech companies, driven by profit and competitive advantage, continue scaling AI to unsustainable levels.
Instead of optimizing for efficiency, the race is to build bigger, more complex models—regardless of environmental cost.
The problem isn’t AI itself—it’s the centralized infrastructure that supports it.
AI, as it stands today, is an ecological time bomb fueled by unchecked expansion, and unless we rethink how intelligence is trained and deployed, the environmental burden will only grow.
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