Webcast: HEC Montreal - Energy and AI

Artificial intelligence (AI) drives innovation, yet its growth relies on energy-intensive infrastructures that can heighten environmental and social pressures. By 2030, global electricity demand from data-centres could reach 289 GW—six times Québec’s current clean energy capacity — and water demand will also be critical. Although efficiency improvements may offer mitigation, escalating demand threatens to offset gains. Accelerated growth in AI data training and operational facilities—largely led by unregulated private-sector — risks intensifying inequality through rising energy costs, grid strains, and competition for limited resources. Hosted by the Chair in Energy Sector Management at HEC Montréal, this webinar explores the current state of knowledge and paths forward for decision makers.