As AI-driven demand for GPUs surges, data center operators face mounting challenges in power availability, deployment speed, and sustainability. This panel will explore two critical strategies for overcoming these obstacles: adaptive reuse and power-rich site selection. The conversation will examine how repurposing existing buildings can dramatically shorten time-to-revenue for GPU infrastructure while reducing carbon impact. Panelists will share insights into identifying viable properties, retrofitting for high-density liquid-cooled workloads, and navigating complex engineering and regulatory hurdles. Joining the panel, Schneider Electric’s Strategic Account Executive will offer perspective from the front lines of hyperscale and wholesale cloud development, highlighting how modern electrical infrastructure and grid-interactive energy solutions are evolving to support AI-scale deployments. Their insights will shed light on how large-scale operators are rethinking power sourcing, capacity planning, and sustainability in an era of unprecedented compute intensity. The panel will also assess emerging regional markets for AI infrastructure, including the strategic advantage of collocating near existing power generation to accelerate deployment and advance ESG goals. Attendees will gain a deeper understanding of the tradeoffs, risks, and opportunities involved in fast-tracking AI capacity without compromising resilience or long-term viability.