Can AI’s energy demands be met?

Artificial intelligence (AI) is becoming increasingly energy-intensive, with the global energy demand for AI projected to rise from 2% of total electricity generation in 2020 to around 8% by 2030. The training of large AI models requires significant computational resources and can result in substantial greenhouse gas emissions. To mitigate this, sustainable AI practices are being developed, including more efficient algorithms and specialized hardware designs. Governments and organizations are also promoting environmentally responsible AI development through policy-level initiatives and partnerships. By reducing energy consumption and emissions, sustainable AI practices can not only help combat climate change but also lower operational costs and improve brand reputation.