{"id":27,"date":"2024-07-05T18:21:30","date_gmt":"2024-07-05T18:21:30","guid":{"rendered":"https:\/\/www.yippeekiai.com\/?p=27"},"modified":"2024-07-05T18:40:33","modified_gmt":"2024-07-05T18:40:33","slug":"ais-impact-on-the-environment-from-now-to-2030","status":"publish","type":"post","link":"https:\/\/www.yippeekiai.com\/index.php\/2024\/07\/05\/ais-impact-on-the-environment-from-now-to-2030\/","title":{"rendered":"AI’s Impact on the Environment from Now to 2030"},"content":{"rendered":"\n

Will AI cause more problems for the environment in the next 6 years than solutions?<\/p>\n\n\n\n

Wells Fargo is projecting that AI power demand will grow 8100%<\/a> from 8TWh in 2024 to 652TWh in 2030. More than half of that is due to AI model training.<\/p>\n\n\n\n

Google has already stated that AI data centers are derailing their carbon emission goals<\/a>. And the 8100% increase has just begun.<\/p>\n\n\n\n

The AI demand surge correlates in time with a surge in electric cars, continued Bitcoin draining of the grid, and an overall shift in the economy<\/a> from carbon-based to renewable energy.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

At the same time, scaling up renewable energy production takes years. A nuclear power plant takes around 6-8 years<\/a> to build, but no new ones are being built in the US<\/a> at this time.<\/p>\n\n\n\n

It is also highly unlikely that the output of AI tools would contribute to any substantial impact that would pass regulations, get implemented, and have an actual impact in that timeframe.<\/p>\n\n\n\n

The supply and demand factors of the economy imply that the energy price will rise when there is increased demand that is not met with increased production. Since energy is a part of most production, products will to some extent get a higher price.<\/p>\n\n\n\n

If supply is met by carbon emission energy sources, the world’s emission goals will take a hit and the greenhouse effect can accelerate<\/a>. <\/p>\n\n\n\n

One trend that will probably continue is banning Bitcoin mining<\/a> to save energy. Bitcoin uses much of the same resources as AI, like data centers, GPUs, and energy.<\/p>\n\n\n\n

Optimally, AI can accelerate the development of solutions like a more energy-efficient cryptocurrency, thus freeing up much-needed energy resources.<\/p>\n\n\n\n

However, in the near term, up to 2030, AI will probably have a negative environmental impact by driving up demand for energy. AI will likely not be able to make any large-scale contributions in that time that would result in a net positive effect on the environment.<\/p>\n\n\n\n

It could very well be an investment that pays off in the long run. The problem for the environment is that net positive changes need to be made now.<\/p>\n","protected":false},"excerpt":{"rendered":"

Will AI cause more problems for the environment in the next 6 years than solutions? Wells Fargo is projecting that AI power demand will grow 8100% from 8TWh in 2024 to 652TWh in 2030. More than half of that is due to AI model training. 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