From Paradox to Progress A Net Positive AI Energy Framework 2025

AI forecasting for more efficient industrial processes BOX 8 Business case Building skills for efficient AI requires public and professional action. Education raises awareness of AI’s energy impacts, while training equips engineers to drive efficiency and decarbonization, creating the human foundation for responsible adoption. Challenge Industrial operations often rely on siloed data and manual monitoring, limiting real-time optimization and increasing emissions and operational costs Solution –20 predictive models deployed across energy park processes –Real-time forecasting integrated with centralized plant control –AI platform and modular architecture support scaling and integration Impact Near-term impacts realized or anticipated (less than one year) –24% productivity increase –€5.1 million realized savings in one year –Full plant adoption with over 30 active usersFurther impacts realized or anticipated (more than one year) –Projected €60–80 million annual impact across multiple sites –Additional energy savings and avoided emissions –Replication across other facilities Reviewing the levers in action AI energy literacy programmes: Training to interpret AI-driven insights for operational efficiency Reskilling initiatives: Workforce transition from manual to AI-assisted operations Sector-specific training: Customized training modules for operations and industrial energy management University partnerships: Insights shared with technical institutions through applied projects. Academic chair in partnership with San Pablo CEU (Madrid) focused on green digital. Partnership with Alcalá de Henares University (Madrid), centred in IoT technologies Public awareness campaigns – N/A Source: ADEME. (2025). Soyons malins, reprenons la main: notre campagne pour un numérique plus responsable. https://altimpact.fr/soyons-malins-reprenons-la-main-notre-nouvelle-campagne-pour-un-numerique-plus-responsable/; ADEME. (2025). Numérique: reprendre la main pour des usages responsables. https://infos.ademe.fr/magazine-janvier-2025/ numerique-reprendre-la-main-pour-des-usages-responsables/; AI Energy Impact public use case database, Moeve. 25 From Paradox to Progress: A Net-Positive AI Energy Framework