For years, the industry's sustainability conversation has focused on carbon reduction, renewable energy procurement, and efficiency metrics. While these remain critical priorities, a new set of sustainability challenges is emerging as AI-driven infrastructure development accelerates: water stewardship, grid impacts, land use, community expectations, and the industry's broader social license to operate. As operators scale capacity to support AI, sustainability can no longer be measured solely in megawatts, carbon emissions, or renewable energy percentages. This discussion will explore how operators are redefining responsible growth in the AI era, balancing the need for rapid deployment with transparency, resource stewardship, and meaningful community engagement. Talking Points include:

• How traditional metrics like PUE and carbon offset percentages fall short for AI-scale workloads
• Addressing the compounding strains on regional water supplies and land use near dense population centers
• Navigating localized power grid impacts to maintain stability while rapidly scaling energy capacity
• Securing the industry's social license to operate through radical transparency and proactive community engagement