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The Ecological Footprint of Outsourcing Creativity: AI’s Hidden Environmental Costs
Running, Training, and Using LLMs Cost Concerning Amounts of Power In an Already Strained System
The United States is running out of electricity. In March, The Washington Post published an article expressing concern about the surge in power use in several states that are struggling to keep up with demands.
Our power grids were already due for an upgrade, with most of them constructed near the end of the 20th century and a reported 70% of transmission lines approaching the end of their lifecycle. The effects of our aging system are strikingly obvious to those who’ve lived through them. Power outages are far more common now than 25 years ago, with an estimated 64% increase in the US since the 2000s.
And, to add salt to the untreated, festering wound that is our energy infrastructure, we vastly underestimated how much power we’d need in the 2020s. We didn’t expect the rapid rise and proliferation of artificial intelligence, and certainly didn’t consider the massive amounts of power it would require. Those costs in question are staggering already and, are now, expected to rise astronomically in the next decade as every company rushes to include AI in their pipeline and competitors rise to…
