For years, AI infrastructure conversations have focused primarily on securing enough power to support increasingly dense compute environments. But as hyperscale AI campuses scale toward gigawatt deployments, another resource is rapidly becoming just as consequential: water.

On this episode of the Data Center Frontier Show podcast, DCF Editor in Chief Matt Vincent is joined by Leif Percifield, Chief Product Officer at Emergence Water, and Vamsi Mokkapati, Technical Director at Nimbus Advanced Process Cooling Systems, to examine why water is evolving from a sustainability metric into a strategic infrastructure consideration.

The discussion explores how water availability is increasingly influencing data center site selection, cooling architectures, regulatory approvals, and long-term operational planning. The guests explain why communities are placing greater scrutiny on water use, why developers must now evaluate water availability 10 to 15 years into the future, and how water has effectively joined power and fiber as a foundational element of AI infrastructure planning.

The conversation also examines the industry's growing focus on balancing water and energy efficiency rather than treating them as competing priorities. Percifield and Mokkapati discuss the importance of smarter water sourcing, construction-phase water requirements that are often overlooked, and why there is unlikely to be a single cooling solution capable of serving every AI deployment.

The episode also explores the partnership between Emergence Water and Nimbus, which combines atmospheric water generation with highly water-efficient adiabatic cooling to reduce dependence on municipal water supplies while improving overall cooling efficiency. Looking ahead, the guests discuss how predictive controls, adaptive cooling strategies, and integrated water management will become increasingly important as AI infrastructure continues to scale.

The result is a timely conversation about one of the industry's fastest-emerging challenges—and why water is becoming every bit as strategic to the future of AI data centers as the power that drives them.