AI's Environmental Impact: The Massive Price Tag Behind Progress
AI's Environmental Toll: Data Centers and Energy Use
The whirlwind evolution of AI technologies is not without its drawbacks. Major tech giants like Google and Microsoft are under scrutiny as their greenhouse gas emissions have soared amidst the rise of AI.
The Growing Demand for Energy
- Data centers are creating unprecedented energy demands, expected to grow by 160% by 2030.
- AI serves as a horizontal tool, impacting various sectors, which complicates the assessment of its true energy costs.
- Experts estimate that a single AI prompt can consume nearly 3 watt-hours.
Water Usage Soars
Alongside energy requirements, the water footprint of AI is alarming. For instance, in a single month of model training, Microsoft used 11.5 million gallons of water.
Transparency Needed for Change
As the AI landscape expands, both companies and consumers must demand clarity regarding the environmental footprints of their technological advancements.
This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.