Why IT leaders need to consider AI’s energy footprint

AI Briefing

• – AI energy consumption is expected to rise to 156GW by 2030, with a 20% increase from the previous forecast, and datacentres will require approximately 1,200TWh of energy.
• – IT decision-makers need to assess their AI requirements and make informed choices about whether their organisation genuinely needs any given AI workload to run continuously.
• – There is a lack of standardised carbon accounting for digital workloads, making environmental impact opaque and poorly quantified.