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AI is advancing rapidly, but its foundations depend on immense energy, water, and compute resources that many nations cannot sustain. As models scale and data centres expand, the risk is an AI ecosystem that falters under resource stress and leaves large parts of the world behind. The challenge now is to make resilience a core design principle: building energy-ehicient models, frugal and modular architectures, and green, locally adaptable infrastructure. This panel explores how countries can embed resilience across the AI stack and ensure that innovation remains sustainable, reliable, and accessible in a resource-constrained world. How do we create market incentives for companies to favour ehicient, distilled, domain-specific models over brute-force scaling? Can modular, edge-first architectures break the dependence on mega data centres and shift innovation power back to the Global South? Can nations align on a shared vision of energy-aware AI, or will industrial policy competition derail cooperation? Is “frugal-by-design” AI a viable alternative to trillion-parameter models, or will the push for ehiciency inevitably compromise accuracy, reliability, and performance? Opening Interventions: Sasmit Patra, Member of Parliament, India Hélène Costa De Beauregard, Project Director, Ministry of Ecological Transition, France Siddarth Singh, Co-lead, AI & Energy Workstream, International Energy Agency Moderator: Arun Sukumar, Non-Resident Senior Fellow – Technology, ORF Middle East #india #geopolitics #globalsouth #artificialintelligence