ISSUE

We explore why individual efforts to "opt out" of AI, while potentially offering personal clarity, are ultimately insufficient to address the rapidly escalating environmental toll caused by the technology’s physical infrastructure. The core environmental harm is driven not just by initial model training, but overwhelmingly by inference, which is the continuous, real-time use of AI in billions of applications, causing immense and constant demands for electricity, water, and hardware