Thinking Machines Lab

AI’s environmental impact per task balloons with more complexity

An analysis by Vals AI indicates that as AI usage shifts to more complex tasks, its environmental footprint, including energy, carbon, and water consumption, increases dramatically. Lengthier AI tasks can have an environmental impact 10,000 times greater than simple queries due to increased computational demands. The report also highlights the lack of transparency from AI companies regarding their models and data center infrastructure, despite pressure from new climate disclosure laws.