A pair of studies analyzing the effects of AI on our planet has been released and the news is quite serious. Granopus Born from the preparation of semiconductions used in AI chips and found that there is a Four -fold increase in 2024. This analysis was completed using publicly available data.
Many large chip makers like NVIDIA rely on companies like Taiwan semiconductor manufacturing company and SK Hanks Inc. for components of GPU and memory units. Most of this manufacturing is in Taiwan, South Korea and Japan, where power grids mainly rely on fossil fuel. This increases global emissions. The organization also says that the global electricity needs for AI can experience an increase of 170 times by 2030.
Greenpace estimates have raised concerns that the AI race can take off the goals of global decoration, . The non -profit suggests that governments in East Asia transfer to renewable power for chip manufacturing, but it seems that the opposite is happening. South Korea to Gas powered power generation. Taiwan has used a growing electricity demand for AI, in the pretext of expanding liquid natural gas projects and grid infrastructure.
Another research from the International Energy Agency (IEA) . The analysis states that electricity consumption by AI-Adjont Data Centers can lead to a half increase in power demand by 2030. The fact is, the US economy can be on track to use more electricity to take action on data rather than produce all the goods. These include aluminum, steel, cement and chemicals.
Electricity demand from global data centers can be more than double by 2030, which can be about 945 terrace hours. It’s more than that . It’s 30 times more than that .
AI supporters say massive energy needs will eventually be eliminated as this technology leads to scientific discoveries that accelerate innovation in the field. And . However, this is probably a big fat.
This article was originally published on Enoget
