The rapid expansion of artificial intelligence (AI) is raising concerns about its impact on the climate, as the technology's energy consumption grows exponentially. According to a recent study, the global energy demand for datacentre computing will increase by over 20% by the end of the decade, primarily driven by fossil fuels. The world's largest oil company, Saudi Aramco, has doubled its technology spending in one year alone, with the aim of increasing productivity and reducing emissions.
The growth of AI has sparked debates about its potential to cut emissions, particularly in industries like energy and transportation. Some experts argue that existing AI applications can reduce carbon footprint by more than those produced by datacentres. However, others point out that the expansion of fossil fuel supply may offset any gains made by using clean energy.
The environmental impact of datacentres has also raised concerns. A former oil worker turned climate activist, Sharon Wilson, revealed that Elon Musk's flagship datacentre in Tennessee was spewing an "unbelievable amount" of pollution into the air. The facility uses gas-fired turbines to power its operations, with no pollution controls in place.
Critics argue that companies like Microsoft and Google are using AI to delay action on reducing emissions from their operations. The marketing industry is also set to be heavily influenced by AI, which could lead to an increase in consumption and e-waste.
Some voices are calling for a moratorium on new datacentre development until better regulations are in place. In contrast, clean tech advocates are pushing for the use of AI to promote digitalisation that can help decarbonise the economy.
To mitigate its impact on the climate, experts recommend designing tools with frugality by design and using AI responsibly. The technology has immense potential to fight climate change through applications such as designing more efficient batteries or tracking deforestation.
Ultimately, it is crucial to have a nuanced understanding of AI's energy consumption and environmental implications, taking into account both the benefits and drawbacks of this rapidly expanding field.
The growth of AI has sparked debates about its potential to cut emissions, particularly in industries like energy and transportation. Some experts argue that existing AI applications can reduce carbon footprint by more than those produced by datacentres. However, others point out that the expansion of fossil fuel supply may offset any gains made by using clean energy.
The environmental impact of datacentres has also raised concerns. A former oil worker turned climate activist, Sharon Wilson, revealed that Elon Musk's flagship datacentre in Tennessee was spewing an "unbelievable amount" of pollution into the air. The facility uses gas-fired turbines to power its operations, with no pollution controls in place.
Critics argue that companies like Microsoft and Google are using AI to delay action on reducing emissions from their operations. The marketing industry is also set to be heavily influenced by AI, which could lead to an increase in consumption and e-waste.
Some voices are calling for a moratorium on new datacentre development until better regulations are in place. In contrast, clean tech advocates are pushing for the use of AI to promote digitalisation that can help decarbonise the economy.
To mitigate its impact on the climate, experts recommend designing tools with frugality by design and using AI responsibly. The technology has immense potential to fight climate change through applications such as designing more efficient batteries or tracking deforestation.
Ultimately, it is crucial to have a nuanced understanding of AI's energy consumption and environmental implications, taking into account both the benefits and drawbacks of this rapidly expanding field.