Key Takeaway
Salesforce emphasizes the importance of transparency in shaping a sustainable future with AI. Their AI Sustainability Outlook warns that AI data centers could consume 3% of global electricity by 2030 due to increased computational demands and cooling systems. Gartner predicts that up to 40% of AI data center projects may face power bottlenecks by 2027, leading to delays and higher costs. Currently, 56% of energy for data centers comes from non-renewable sources, raising concerns about carbon emissions. The International Energy Agency warns that without change, data centers could significantly contribute to global carbon emissions.
“We are at the beginning of our journey, but the future is being shaped today.
“By openly sharing our progress, we hope to promote transparency and inspire collective action.
“A sustainable future with AI is attainable, and I am optimistic about what we can accomplish together.”
The environmental cost of AI
The AI Sustainability Outlook from Salesforce forecasts a concerning rise in global electricity consumption by AI-related data centres, predicting they could account for approximately 3% of the global supply by 2030.
This increase is driven by the computing power needed to support AI processes, along with advanced cooling systems designed to maintain optimal conditions for running sophisticated algorithms.
Additionally, Gartner analyses indicate that up to 40% of AI data centre projects may face significant power bottlenecks by 2027. These bottlenecks could lead to delays, increased costs, and power reliability issues, highlighting the urgent need for system upgrades.
Currently, around 56% of the energy used by data centres comes from non-renewable fossil fuels.
If this dependency continues unchecked, the International Energy Agency (IEA) warns that data centres could become one of the fastest-growing sources of carbon emissions globally.
