From Paradox to Progress A Net Positive AI Energy Framework 2025

Stakeholders in AI’s energy impact FIGURE 3 Technology providers Academia and civil society Consumers and end usersIndustry leaders Governments and regulators Developers, chipmakers and platform architects shape AI’s energy footprint through design, training, hardware, infrastructure and transparency choices. – Deploying energy-efficient AI systems and hardware – Providing user-facing energy transparency tools – Publishing sustainability benchmarks and life cycle disclosures– Integrating AI into decarbonization and energy efficiency strategies – Developing phased energy and grid-integration pathways – Training teams in responsible, energy-aware AI use– Establishing efficiency standards with siting and policy guardrails – Mandating life cycle energy and emissions reporting – Supporting shared infrastructure and innovation hubs Academic and civil society organizations develop methods, oversight and training to strengthen measurement, workforce readiness and inclusion.User choices and expectations shape AI’s energy impact, markets and policy.AI can help companies reduce energy use and emissions, driving innovation through clear market signals.Policies, incentives and infrastructure planning determine whether AI becomes a climate asset or a liability. KEY ACTIONS – Researching AI consumption metrics and methods – Developing AI-energy literacy curriculum – Advocating for transparency and accountabilityKEY ACTIONS – Choosing energy-efficient AI tools – Supporting transparent platforms – Practicing digital sobriety and responsible useKEY ACTIONSKEY ACTIONS KEY ACTIONSTogether, these stakeholders can ensure AI’s growth strengthens, rather than strains, global energy and climate systems. From Paradox to Progress: A Net-Positive AI Energy Framework 10