From Paradox to Progress A Net Positive AI Energy Framework 2025

3.1 Consumer education and workforce upskilling Builds capacity and readiness across sectors The first strategic enabler, consumer education and workforce upskilling, equips people and institutions with the knowledge to scale efficient, responsible AI. Sustainability depends on informed users and skilled professionals who design and govern systems with a focus on energy and environmental awareness. Training that combines technical and sustainability literacy helps close this gap, while transparent communication about AI’s resource impacts empowers responsible use and aligns growth with shared sustainability goals.Key levers include: –AI-energy literacy programmes: For engineers, policy-makers and business leaders –Reskilling initiatives: Transitioning legacy energy workers to AI-enabled roles –University partnerships: Curriculum development in efficient AI enablement –Public awareness campaigns: Educating consumers on energy-conscious AI use –Sector-specific training: Tailored programmes for manufacturing, utilities, etc. Use case insights and takeaways: Only about 21% of use cases reviewed involved this enabler. Relevant instances where human capabilities lag behind technical progress underscore the need for greater training and education.Strategic recommendations: –Fund education, scholarships and workforce training –Partner with universities to develop industry- aligned curricula –Launch national responsible AI use campaignsConsumer education and workforce upskilling key levers FIGURE 8 AI-energy literacy programmesReskilling initiativesUniversity partnershipsPublic awareness campaignsSector-specific trainingConsumer education and workforce upskilling Consumer education and workforce upskilling equips people and institutions with the knowledge to scale efficient, responsible AI.These enablers are the connective tissue of the framework, supporting each action driver and enabling scale, trust and coordination. From Paradox to Progress: A Net-Positive AI Energy Framework 23