From Paradox to Progress A Net Positive AI Energy Framework 2025

Shape demand wisely – key levers FIGURE 7 Use-based pricing modelsDigital sobriety campaignsModel selection guidanceConsumer dashboardsRegulatory nudgesShape demand wisely Use case insights and takeaways: Only 10% of use cases reflected shape demand wisely, underscoring a gap or limited visibility into ecosystem activities here. These examples aim to influence AI consumption patterns and promote selective, energy-aware applications. Without greater attention to this driver, efficiency gains risk being offset by continued AI demand growth.Strategic recommendations: –Establish AI sustainability labels and energy disclosures. –Provide public dashboards with opt-in transparency. –Promote responsible defaults and user awareness. Emerging shape demand wisely use case examples TABLE 4 Source: AI Energy Impact public use case database.37Use-based pricing modelsCloud provider pilots (tiered pricing): Ties cost to energy intensity, incentivizing efficient AI use and moderating demand Digital sobriety campaignsGlobal consulting firm (digital sobriety programme): This programme drove digital sustainability awareness and audits to cut unnecessary compute and improve energy efficiency Model selection guidanceLeboncoin (API traffic optimization): Detected 3.6 billion redundant API calls weekly, cutting error responses by 72% and server replicas 67% Consumer dashboardsGlobal software company (AI energy score prototype): A dashboard displayed the energy impact of every query, helping users select lower-energy workflows Regulatory nudgesGlobal media, entertainment and sports company (network efficiency programme): Regulator partnership optimized network operations, reducing energy use by approximately 40% and meeting efficiency standards From Paradox to Progress: A Net-Positive AI Energy Framework 19