Enterprise AI infrastructure is becoming one of the fastest-growing contributors to corporate energy consumption. According to the International Energy Agency (IEA), global data center electricity demand is projected to nearly double to around 945 TWh by 2030. AI-accelerated servers are growing at 30% annually – far outpacing conventional infrastructure. For enterprises scaling AI from pilot to production in 2026, this translates into real reputational, regulatory, and financial risk. Organizations that fail to account for the energy footprint of their AI infrastructure face investor scrutiny, evolving disclosure mandates, and the very real possibility that their AI ambitions will undermine their sustainability pledges.