From Paradox to Progress A Net Positive AI Energy Framework 2025

Page 27 of 38 · WEF_From_Paradox_to_Progress_A_Net_Positive_AI_Energy_Framework_2025.pdf

Emerging ecosystem collaboration use case examples TABLE 6 Source: AI Energy Impact public use case database. Public-private partnerships building responsible AI ecosystems BOX 9 Challenge Fragmented coordination across public institutions, start-ups and industry limits AI’s potential for sustainable growth. Without shared frameworks and standards, Europe’s AI ecosystem risks uneven development and wasted resources. Solution –Cross-sector partnership between technology providers, policy-makers and research institutions –Europe-wide framework for responsible AI adoption –Assessment of regulatory readiness, data infrastructure and workforce skills, offering policy and investment guidance –Results informed regional competitiveness strategies and harmonized sustainability objectives across stakeholders Impact Near-term impacts realized or anticipated (less than one year) –Engagement across 15 countries and 28,000 participants –Improved visibility into AI adoption, infrastructure gaps and workforce readinessFurther impacts realized or anticipated (more than one year) –Stronger alignment between governments and enterprises on responsible AI governance –Enhanced integration of sustainability considerations in national AI roadmaps Reviewing the levers in action Multistakeholder task force: Coordinates AI ecosystem stakeholders Interoperability frameworks: Builds shared frameworks for AI governance and sustainability alignment Joint infrastructure planning: Connects national AI hubs and innovation clusters Policy harmonization: Supports harmonized regulatory discussion but does not define standards independently* Incentive alignment: Enables shared insights and funding dialogue, though direct pooled investment remains limited* Note: *See Table 6 for relevant “ecosystem collaboration” use case examples.Multi-stakeholder taskforcesAustralia (renewable energy project): A coalition of cities, universities and companies aggregated demand through a joint renewable PPA, securing long-term clean power and supporting grid decarbonization Policy harmonizationEuropean Union (policy collaboration): The European Union introduced voluntary sustainability commitments across member states as a foundation for future AI energy governance standards Joint infrastructure planningSpain (smart port infrastructure programme): Applied AI to logistics, improving operational efficiency and reducing vessel turnaround time by 30% Incentive alignmentGlobal telecom-utility partnerships: Joint pilots applied AI to optimize telecom network energy use in coordination with grid conditions, improving efficiency and reducing peak-period demand Interoperability frameworksNorth American global innovator: Cross-industry portfolio partnerships standardized scalable HVAC optimization, reducing energy use by 20–30% From Paradox to Progress: A Net-Positive AI Energy Framework 27
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