A study commissioned by Amazon Web Services (AWS) reveals that using AWS data centers for compute-intensive or artificial intelligence (AI) workloads results in a significant 98% reduction in carbon emissions compared to on-premises data centers. Accenture's research indicates that migrating IT workloads to cloud data centers is an effective strategy to minimize environmental footprints. AWS's global infrastructure is 4.1 times more efficient than on-premises data centers, and Indian organizations have the potential to achieve a 99% reduction in carbon emissions by optimizing AI workloads on AWS. This is attributed to AWS's hardware utilization.

Using AI to generate images, write emails, or ask chatbots contributes a certain burden to the planet. The energy consumed to generate an image using AI is equivalent to charging a mobile phone fully. The energy consumption for generating text is lower, as generating text 1000 times only consumes 16% of a mobile phone's charging capacity. The use of large generative AI models is more energy-intensive than smaller models.

{1: The UK government will allocate £4 million for green artificial intelligence projects aimed at achieving net-zero emissions by 2050. 2: The project includes using AI to predict the timing of energy production from the grid and achieving decarbonization in agriculture. 3: This initiative aims to promote the development of the clean energy sector and create new job opportunities.}