Open AI's ChatGPT, Google's Gemini and Microsoft's Copilot: How is AI taking away our Drinking water? Read full story here
We all know and accept the fact that artificial intelligence (AI) has become a very important part of our lives. With being increasingly integrated into daily life, concerns are mounting over the environmental footprint of AI, which is particularly related to its growing consumption of water and electricity required to operate the massive data centers needed to run AI queries by apps like Open AI's ChatGPT, Google's Gemini and Microsoft's Copilot.
As per a report by BBC Hindi, the expansion of AI technologies could intensify global water stress, especially in the face of climate change and its rising demand. It has been revealed by media reports that AI systems like ChatGPT rely on vast data centers that consume enormous energy and water for cooling. How AI is taking away your drinking water?
The reports have also revealed that a single AI query may use significantly more electricity, which will need more water for cooling, than a typical internet search. Proving the claim, International Energy Agency (IEA) has estimated that a query made on ChatGPT consumes about 10 times more electricity than a search made on Google search engine.
Studies also indicate that the AI industry could use 4–6 times more water annually than a country like Denmark by 2027. Also, companies such as Google, Microsoft, and Meta have reported major increases in water use with the increased use of AI. With many data centers being set up in drought-prone areas, the companies have also dealt with sparking protests and environmental backlash. What Sam Altman said on future of AI?
As AI begins to transform industries globally, ensuring that the benefits of AGI (Artificial General Intelligence) are broadly distributed is critical, according to OpenAI Co-founder and CEO Sam Altman.
The historical impact of technological progress suggests that most of the metrics we care about (health outcomes and economic prosperity, etc.) get better on average and over the long-term, but increasing equality does not seem technologically determined and getting this right may require new ideas, he emphasised in a new blog post.
(With inputs from agencies)
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