October 2025
Intermediate to advanced
176 pages
2h 18m
English
by Christina Shim
By 2026, computing power dedicated to training AI is expected to increase tenfold over 2024 levels.1 As more power is expended, more resources are needed. As a result, we’ve seen exponential increases in energy and, perhaps more unexpectedly, water consumption. Some estimates even show running a large AI model generates more emissions over its lifetime than the average car. A recent report from Goldman Sachs found that by 2030, there will be a 160% increase in demand for power propelled by AI applications.2
We know there is palpable environmental risk to operating this way indefinitely, but we also know AI can be a powerful new tool for sustainability, accelerating ...
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